field_id	title	availability	stability	private	value_type	base_type	item_type	strata	instanced	arrayed	sexed	units	main_category	encoding_id	instance_id	instance_min	instance_max	array_min	array_max	notes	debut	version	num_participants	item_count	showcase_order
3	Verbal interview duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	2	0	0	Time taken for interview	2012-01-05	2019-03-10	501685	554594	0
4	Biometrics duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	2	0	0	Time taken for participant to do the tests in the biometric station of the Assessment Centre visit.	2012-01-05	2019-03-10	497946	552238	0
5	Sample collection duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	2	0	0	Time taken for participant to complete the blood phlebotomy station of the Assessment Centre visit. This is longer than the time during which they were actively giving blood.	2012-01-05	2019-03-10	501350	557015	0
6	Conclusion duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	2	0	0	This is the time taken for the participant to complete the final conclusion stage of the Assessment Centre visit.	2012-01-05	2019-03-10	499003	554109	0
19	Heel ultrasound method	0	0	0	21	11	0	0	0	0	0		100018	100260	2	0	0	0	0	Method used for the Ultrasound Bone Densitometry of heel	2012-01-05	2012-01-06	324789	324789	3
21	Weight method	0	0	0	21	11	0	0	1	0	0		100010	100261	2	0	2	0	0	Indicates whether weight was entered into the machine directly or manually, whether weight was only measured manually or not performed	2012-01-05	2019-03-10	500860	555990	11
23	Spirometry method	0	0	0	21	11	0	0	1	0	0		100020	100270	2	0	2	0	0	Spirometry method	2012-01-05	2019-03-10	459695	506911	180
31	Sex	0	0	0	21	11	0	0	0	0	0		100094	9	0	0	0	0	0	Sex of participant.<p>Acquired from central registry, updated by participant.	2012-01-05	2012-01-06	502537	502537	4
33	Date of birth	0	0	1	51	0	0	0	0	0	0		100094	0	0	0	0	0	0	Date of birth of participant.<p>Acquired from central registry, updated by participant. <p> This data-field will only be made available to researchers in exceptional circumstances. Wherever possible, reasearchers should use Month of Birth (~F52~) and Year of Birth (~F34~) instead.	2012-01-05	2012-01-06	502537	502537	1
34	Year of birth	0	0	0	11	0	0	0	0	0	0	years	100094	0	0	0	0	0	0	Year of birth of participant.<p>Acquired from central registry, updated by participant.	2012-01-05	2012-01-06	502537	502537	3
35	Was blood sampling attempted	0	0	0	21	11	0	0	1	0	0		100002	7	2	0	2	0	0	Indicates whether or not taking blood samples was attempted	2012-01-05	2019-03-10	501350	557015	1
36	Blood pressure device ID	0	0	0	41	0	0	2	1	0	0		100011	0	2	0	2	0	0	Blood pressure (Omron) gadget ID	2012-01-05	2019-03-10	498738	550820	0
37	Blood pressure manual sphygmomanometer device ID	0	0	0	41	0	0	2	1	0	0		100011	0	2	0	2	0	0	Blood pressure manual sphygmomanometer gadget ID	2012-01-05	2019-03-10	498738	550820	0
38	Hand grip dynamometer device ID	0	0	0	41	0	0	2	1	0	0		100019	0	2	0	2	0	0	Hand grip dynamometer device id	2012-01-05	2019-03-10	497947	552239	3
39	Height measure device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	2	0	0	Height measure gadget id	2012-01-05	2019-03-10	497947	552239	5
40	Manual scales device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	2	0	0	Manual scales gadget id	2012-01-05	2019-03-10	497947	552239	12
41	Seating box device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	2	0	0	Sitting box gadget id	2012-01-05	2019-03-10	497947	552239	9
42	Spirometer device ID	0	0	0	41	0	0	2	1	0	0		100020	0	2	0	2	0	0	Spirometer gadget ID	2012-01-05	2019-03-10	497947	552239	440
43	Impedance device ID	0	0	0	41	0	0	2	1	0	0		100009	0	2	0	2	0	0	Impedance (Tanita) gadget id	2012-01-05	2019-03-10	497947	552239	370
44	Tape measure device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	2	0	0	Tape measure gadget id	2012-01-05	2019-03-10	497947	552239	3
45	Heel ultrasound device id	0	0	0	41	0	0	2	1	0	0		100018	0	2	0	2	0	0	Ultrasound heel (Sahara) gadget ID	2012-01-05	2019-03-10	497947	552239	42
46	Hand grip strength (left)	0	0	0	11	0	0	0	1	0	0	Kg	100019	0	2	0	2	0	0	Left grip strength	2012-01-05	2019-03-10	499250	553959	1
47	Hand grip strength (right)	0	0	0	11	0	0	0	1	0	0	Kg	100019	0	2	0	2	0	0	Right grip strength	2012-01-05	2019-03-10	499324	554044	1.5
48	Waist circumference	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	2	0	0	Waist circumference	2012-01-05	2019-03-10	500427	555526	1
49	Hip circumference	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	2	0	0	Hip circumference	2012-01-05	2019-03-10	500365	555464	2
50	Standing height	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	2	0	0	Standing height was measured using a Seca 202 device	2012-01-05	2019-03-10	500058	555099	4
51	Seated height	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	2	0	0	Seated height was measured using a Seca 202 device with the participant seated on a box, the size of which is given by ~F3077~	2012-01-05	2019-03-10	497148	551193	6
52	Month of birth	0	0	0	21	11	0	0	0	0	0		100094	8	0	0	0	0	0	Calendar month of birth of participant.<p>Acquired from central registry, updated by participant.	2012-01-05	2012-01-06	502537	502537	2
53	Date of attending assessment centre	0	0	0	51	0	0	0	1	0	0		100024	0	2	0	2	0	0	Date that participant attended a UK Biobank assessment centre.<p>Automatically acquired at Reception stage.	2012-01-05	2019-03-10	502537	558426	0
54	UK Biobank assessment centre	0	0	0	21	11	0	0	1	0	0		100024	10	2	0	2	0	0	The UK Biobank assessment centre at which participant consented.<p>Automatically acquired at participant consent	2012-01-05	2019-03-10	502537	558421	0
55	Month of attending assessment centre	0	0	0	21	11	0	0	1	0	0		100024	8	2	0	2	0	0	Calendar month that participant attended a UK Biobank assessment centre.<p>Automatically acquired at Reception stage.	2012-01-05	2019-03-10	502537	558426	0
62	Willing to attempt cognitive tests	0	0	0	21	11	0	0	1	0	0		100004	100641	2	0	2	0	0	ACE touchscreen question "Now we would like to check your memory and reaction times by getting you to play some short games"	2012-01-05	2016-11-03	498402	529833	0
68	Number of blood samples taken	0	0	0	11	0	0	0	1	0	0		100002	0	2	0	2	0	0	Blood, count of sample barcodes recorded<p>Each barcode corresponds to a sample collected in the assessment centre. However the actual volume collected was not always the full amount preferred.	2012-01-05	2019-03-10	501350	557015	2
74	Fasting time	0	0	0	11	0	0	0	1	0	0	hours	100002	0	2	0	2	0	0	Fasting time is the interval between consumption of food or drink and blood sample(s) being taken. This was recorded so that it could be allowed for when analysing the blood composition at a later date.	2012-01-05	2019-03-10	501334	556991	4
77	Heel bone ultrasound T-score, manual entry	0	0	0	31	0	0	0	0	0	0	Std.Devs	100018	0	2	0	0	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05	2012-01-06	42732	42732	14
78	Heel bone mineral density (BMD) T-score, automated	0	0	0	31	0	0	0	0	0	0	Std.Devs	100018	0	2	0	0	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05	2012-01-06	279104	279104	9
84	Cancer year/age first occurred	0	0	0	11	0	0	0	1	1	0		100074	37	2	0	2	0	5	For each cancer entered, the nurse entered the date or age at diagnosis using a pop-up screen, depending on the participant's response. See Related Data-fields tab for further information on where to find separate data-fields for age and year of diagnosis.	2012-01-05	2019-03-10	44660	51447	0
87	Non-cancer illness year/age first occurred	0	0	0	11	0	0	0	1	1	0		100074	37	2	0	2	0	33	For each disease entered, the nurse entered the date or age at diagnosis using a pop-up screen, depending on the participant's response. See Related Data-fields tab for further information on where to find separate data-fields for age and year of diagnosis.	2012-01-05	2019-03-10	383478	1081034	0
92	Operation year/age first occurred	0	0	0	11	0	0	0	1	1	0		100076	37	2	0	2	0	31	For each operation entered, the nurse entered the date or age at diagnosis using a pop-up screen, depending on the participant's response. See Related Data-fields tab for further information on where to find separate data-fields for age and year of diagnosis.	2012-01-05	2019-03-10	396975	966300	0
93	Systolic blood pressure, manual reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	2	0	1	Blood pressure, manual reading, systolic. Two measures of blood pressure were taken a few moments apart. A manual sphygmometer was used if the standard automated device could not be employed.	2012-01-05	2019-03-10	48658	80763	0
94	Diastolic blood pressure, manual reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	2	0	1	Blood pressure, manual reading, diastolic. Two measures of blood pressure were taken a few moments apart. A manual sphygmometer was used if the standard automated device could not be employed.	2012-01-05	2019-03-10	48658	80763	0
95	Pulse rate (during blood-pressure measurement)	0	0	0	11	0	0	0	1	1	0		100011	0	2	0	2	0	1	Pulse measured during automated blood-pressure reading	2012-01-05	2019-03-10	48658	80763	0
96	Time since interview start at which blood pressure screen(s) shown	0	0	0	11	0	0	2	1	1	0	seconds	100011	0	2	0	2	0	1	The time since interview start at which the blood pressure screen was shown is useful because it can be used to calculate the interval between the two measurements of blood pressure. This interval is variable because it, for efficiency reasons, it was impractical to use a fixed time during the UK Biobank Assessments.	2012-01-05	2019-03-10	501685	1108561	0
102	Pulse rate, automated reading	0	0	0	11	0	0	0	1	1	0	bpm	100011	0	2	0	2	0	1	This is the pulse rate measured during the automated blood pressure readings.	2012-01-05	2019-03-10	474273	1026529	0
111	Aide-memoire completed	0	0	0	21	11	0	0	1	0	0		100004	7	2	0	1	0	0	Participants were asked to complete an aide-memoire at home (prior to the visiting and assessment centre) to help them complete the more complex/detailed interview questions. This field records whether or not the participant brought a completed aide-memoire to the interview.	2012-01-05	2012-01-06	501678	522010	0
120	Birth weight known	0	0	0	21	11	0	0	1	0	0		100072	100258	2	0	2	0	0	Birth weight known	2012-01-05	2016-11-03	501678	533718	0
129	Place of birth in UK - north co-ordinate	0	0	0	11	0	0	0	1	0	0	metre-grid	100072	170	2	0	2	0	0	Place born - north co-ordinate	2012-01-05	2017-11-02	452316	481127	0
130	Place of birth in UK - east co-ordinate	0	0	0	11	0	0	0	1	0	0	metre-grid	100072	170	2	0	2	0	0	Place born - east co-ordinate	2012-01-05	2017-11-02	452316	481127	0
132	Job code	0	0	0	21	11	0	0	1	0	0		100073	2	2	0	2	0	0	Job code	2012-01-05	2019-03-10	340698	379735	0
134	Number of self-reported cancers	0	0	0	11	0	0	0	1	0	0		100074	0	2	0	2	0	0	Number of cancers entered	2012-01-05	2019-03-10	501685	554594	0
135	Number of self-reported non-cancer illnesses	0	0	0	11	0	0	0	1	0	0		100074	0	2	0	2	0	0	Number of non-cancer illnesses entered	2012-01-05	2019-03-10	501685	554594	0
136	Number of operations, self-reported	0	0	0	11	0	0	0	1	0	0		100076	0	2	0	2	0	0	Number of operations entered	2012-01-05	2019-03-10	501685	554594	0
137	Number of treatments/medications taken	0	0	0	11	0	0	0	1	0	0		100075	0	2	0	2	0	0	Number of treatments (medications) entered	2012-01-05	2019-03-10	501685	554594	100
189	Townsend deprivation index at recruitment	0	0	0	31	0	0	3	0	0	0		100094	0	0	0	0	0	0	Townsend deprivation index calculated immediately prior to participant joining UK Biobank. Based on the preceding national census output areas. Each participant is assigned a score corresponding to the output area in which their postcode is located.	2012-01-05	2012-01-30	501914	501914	8
190	Reason lost to follow-up	0	3	0	21	11	0	0	0	0	0		2	1965	0	0	0	0	0	Indicates the reason that a person is believed to be lost to follow-up. <p> If there are multiple reasons that a person is lost to follow-up then only the earliest of them is listed.	2017-05-24	2017-05-24	1299	1299	100
191	Date lost to follow-up	0	3	0	51	0	0	0	0	0	0		2	0	0	0	0	0	0	Indicates the date from which a person is believed to be lost to follow-up. <p> If there are multiple reasons that a person is lost to follow-up then only the date of the earliest of them is listed.	2017-05-24	2017-05-24	1299	1299	110
200	Date of consenting to join UK Biobank	0	0	0	51	0	0	0	0	0	0		100023	0	0	0	0	0	0	Date that participant consented at UK Biobank assessment centre.<p>Automatically acquired at participant consent.	2012-01-05	2017-01-23	502534	502534	0
393	Program (tactus) version ID (compiler timestamp)	0	0	0	21	41	0	2	0	0	0		100023	1200	0	0	0	0	0	This field identifies the version of the touchscreen system in use at the assessment centre when a participant visit took place. The timestamp is not present in data from the initial pilot clinic.	2012-01-05	2012-01-06	502535	502535	0
396	Number of columns displayed in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	2	1	3		2012-01-05	2019-03-10	498725	1126674	150
397	Number of rows displayed in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	2	1	2		2012-01-05	2019-03-10	498725	1102794	170
398	Number of correct matches in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	2	1	3	This is the number of correct matches in the round. It should always be 3 for a 2x3 game and 6 for a 3x4 game, unless the participant abandoned before finishing.	2012-01-05	2019-03-10	498725	1126674	190
399	Number of incorrect matches in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	2	1	3	A value of 0 indicates the participant made no mistakes.	2012-01-05	2019-03-10	498725	1126674	100
400	Time to complete round	0	0	0	11	0	0	0	1	1	0	deciseconds	100030	402	2	0	2	1	3		2012-01-05	2019-03-10	498725	1126674	120
401	Index for card A in round	0	0	0	21	11	0	0	1	1	0		100032	92	2	0	2	0	11		2012-01-05	2019-03-10	496579	6590040	1
402	Index for card B in round	0	0	0	21	11	0	0	1	1	0		100032	92	2	0	2	0	11		2012-01-05	2019-03-10	496579	6590040	3
403	Number of times snap-button pressed	0	0	0	11	0	0	0	1	1	0		100032	0	2	0	2	0	11	This indicates the number of times the snap-button was pressed (i.e. the user indicated the cards matched) in each round.	2012-01-05	2019-03-10	496579	6590040	5
404	Duration to first press of snap-button in each round	0	0	0	11	0	0	0	1	1	0	milliseconds	100032	0	2	0	2	0	11	This gives the interval between the cards being displayed and the participant pressing the snap-button to indicate a match. Note that the time is recorded regardless of whether the cards shown formed a matching pair. ~F401~ and ~F402~ need to be compared to determine if the cards were the same. <p>Each pair was displayed for 2 seconds, followed by a 1 second gap. If the button-press occurred during a gap then it was recorded against the previous pair, giving a value in the range 2001-2999ms.	2012-01-05	2019-03-10	494205	3310638	7
630	Touchscreen duration	0	0	0	11	0	0	2	1	0	0	deciseconds	152	0	2	0	2	0	0		2012-01-05	2019-03-10	501697	557381	0
670	Type of accommodation lived in	0	0	0	21	11	0	0	1	0	0		100066	100286	2	0	2	0	0	ACE touchscreen question "What type of accommodation do you live in?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please select:<br><br>A house or bungalow for any whole, detached, semi-detached<br>or terraced (including end-terrace) house or bungalow.<br><br>A flat, maisonette, or apartment for any purpose-built<br>block of flats or tenement, part of a converted or shared<br>house (including bed-sits) or within a commercial building<br>(for example in an office building, or hotel, or over a shop).<br><br>If none of the options apply, select None of the above.<br></i></td></tr></table>	2012-01-05	2019-03-10	501687	557371	1
680	Own or rent accommodation lived in	0	0	0	21	11	0	0	1	0	0		100066	100287	2	0	2	0	0	ACE touchscreen question "Do you own or rent the accommodation that you live in?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please select:<br> - Own outright if you or someone in your household<br>owns the accommodation that you live in.<br> - Own with mortagage if you or someone in your<br>household has a mortagage on the accommodation<br>that you live in.<br></i></td></tr></table><p>~F680~ was collected from participants except those who indicated they were living in a sheltered accommodation or in a care home, as defined by their answers to ~F670~	2012-01-05	2019-03-10	500304	555911	2
699	Length of time at current address	0	0	0	11	0	0	0	1	0	0	years	100066	100290	2	0	2	0	0	ACE touchscreen question "How many years have you lived at your current address?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > Participants age then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have lived there for less than one year select Less than a year.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you have lived at your current address at different times, add up<br>the total number of years you lived there. For instance if you lived<br>at your current address for 3 years, moved overseas for one year and<br>returned to your current address for another 5 years, then you would<br>enter 8 years.<br></i></td></tr></table>	2012-01-05	2019-03-10	501683	557367	6
709	Number in household	0	0	0	11	0	0	0	1	0	0	people	100066	100291	2	0	2	0	0	ACE touchscreen question "Including yourself, how many people are living together in your household? (Include those who usually live in the house such as students living away from home during term, partners in the armed forces or professions such as pilots)"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 100 then rejected</li><li>If answer > 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you live alone, enter 1.<br>Include those who usually live in the house such as students living away<br>from home during term, partners in the armed forces or professions such as<br>pilots.<br></i></td></tr></table><p>~F709~ was collected from all participants except those who indicated they were living in a sheltered accommodation or in a care home, as defined by their answers to ~F670~	2012-01-05	2019-03-10	500300	555907	7
728	Number of vehicles in household	0	0	0	21	11	0	0	1	0	0		100066	100293	2	0	2	0	0	ACE touchscreen question "How many cars or vans are owned, or available for use, by you or members of your household? (Please include company vehicles if available for private use) "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Do not include motorcycles.<br></i></td></tr></table><p>~F728~ was collected from all participants except those who indicated they were living in a sheltered accommodation or in a care home as defined by their answers to ~F670~	2012-01-05	2019-03-10	500300	555907	9
738	Average total household income before tax	0	0	0	21	11	0	0	1	0	0		100066	100294	2	0	2	0	0	ACE touchscreen question "What is the average total income before tax received by your HOUSEHOLD?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure of annual household income here are<br>the weekly and monthly equivalents:<br><br>Annual    Monthly   Weekly<br><br>less than &pound;18,000  less than &pound;1,500  less than &pound;346<br>&pound;18,000 to &pound;29,999  &pound;1,500 to &pound;2,499  &pound;346 to &pound;576<br>&pound;30,000 to &pound;51,999  &pound;2,500 to &pound;4,333  &pound;577 to &pound;999<br>&pound;52,000 to &pound;100,000  &pound;4,334 to &pound;8,333  &pound;1000 to &pound;1,923<br>greater than &pound;100,000  greater than &pound;8,333  greater than &pound;1,923 <br></i></td></tr></table><p>~F738~ was collected from participants except those who indicated they were living in a sheltered accommodation or in a care home as defined by their answers to ~F670~	2012-01-05	2019-03-10	497379	552150	10
757	Time employed in main current job	0	0	0	11	0	0	0	1	0	0	years	100064	100290	2	0	2	0	0	ACE touchscreen question "How many years have you worked in your current job? (If you have more than one job please answer this, and the following questions on work, for your MAIN job only)"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > Participants age - 10 years then rejected</li><li>If answer > Participants age - 16 years then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your<br>MAIN job only (ie: the job that you spend most of your time doing).<br>If you have been with the same employer, but have changed jobs whilst you<br>have worked for them, then only give the number of years that you have been<br>in your current job (not the number of years that you have been employed by<br>the same company). For instance, if you have worked as mail-room sorter but<br>then been promoted to manager of the mail-room, please give the number of years<br>you have worked as the mail-room manager only.<br>If you have changed employers, but have had the same job, please give the total<br>number of years that you have worked in that job.  For instance, if you have<br>worked as a cleaner for 3 different companies, please give the total number of<br>years working as a cleaner.<br></i></td></tr></table><p>~F757~ was collected from all the participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~	2012-01-05	2019-03-10	288193	309528	2
767	Length of working week for main job	0	0	0	11	0	0	0	1	0	0	hours	100064	100291	2	0	2	0	0	ACE touchscreen question "In a typical WEEK, how many hours do you spend at work? (Do not include hours travelling to and from work)"<p>The following checks were performed:<ul><li>If answer > 160 then rejected</li><li>If answer < 1 then participant asked to confirm</li><li>If answer > 74 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question<br>for your MAIN job only.<br></i></td></tr></table><p>~F767~ was collected from all the participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~	2012-01-05	2019-03-10	288194	309530	3
777	Frequency of travelling from home to job workplace	0	0	0	11	0	0	0	1	0	0	times	100064	100298	2	0	2	0	0	ACE touchscreen question "How many times a WEEK do you travel from home to your main work? (count outward journeys only; put 0 if you always work from home)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 999 then rejected</li><li>If answer > 99 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the number of times varies each week, take an average over the last 4 weeks.<br>If you only work from home please enter 0<br><br></i></td></tr></table><p>~F777~ was collected from the participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~	2012-01-05	2019-03-10	286194	307191	4
796	Distance between home and job workplace	0	0	0	11	0	0	0	1	0	0	miles	100064	100300	2	0	2	0	0	ACE touchscreen question "About how many miles is it between your home and your work? "<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 9999 then rejected</li><li>If answer > 70 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your<br>MAIN job only.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you only work from home please enter 0<br></i></td></tr></table><p>~F796~ was collected from participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~ and except those who indicated they always work from home, as defined by their answers to ~F6142~	2012-01-05	2019-03-10	267321	285790	0
806	Job involves mainly walking or standing	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	2	0	0	ACE touchscreen question "Does your work involve walking or standing for most of the time?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer<br>this question your MAIN job only.<br></i></td></tr></table><p>~F806~ was collected from the participants who indicated they were in paid employment or self-employed as defined by their answers to ~F6142~	2012-01-05	2019-03-10	288194	309530	7
816	Job involves heavy manual or physical work	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	2	0	0	ACE touchscreen question "Does your work involve heavy manual or physical work?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your<br>MAIN job only.<br>Physical work includes work that involves handling of heavy objects and use<br>of heavy tools.<br></i></td></tr></table><p>~F816~ was collected from participants who indicated they were in paid employment or self-employed as defined by their answers to ~F6142~	2012-01-05	2019-03-10	288194	309530	8
826	Job involves shift work	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	2	0	0	ACE touchscreen question "Does your work involve shift work?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question<br>for your MAIN job only.<br>Shift work is a work schedule that falls outside of the normal daytime<br>working hours of 9am-5pm.  This may involve working afternoons, evenings<br>or nights or rotating through these kinds of shifts.<br></i></td></tr></table><p>~F826~ was collected from participants who indicated they were in paid employment or self-employed as defined by their answers to ~F6142~	2012-01-05	2019-03-10	288194	309530	9
845	Age completed full time education	0	0	0	11	0	0	0	1	0	0	years	100063	100306	2	0	2	0	0	ACE touchscreen question "At what age did you complete your continuous full time education?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 40 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please give the age that you completed 'continuous' full time education.<br>For example, if you stopped your studies when you were 17 years old with<br>the intention that you had completed your studies but then returned to<br>full time studies when you were 24, enter 17.<br>However if you only temporarily stopped your studies at 17 with the<br>intention that you would return to studies (for instance a gap year)<br>and then completed your full time education at 21, enter 21.<br></i></td></tr></table><p>~F845~ was collected from all participants except those who indicated they have a College or University degree, as defined by their answers to ~F6138~	2012-01-05	2016-11-03	337428	354373	3
864	Number of days/week walked 10+ minutes	0	0	0	11	0	0	0	1	0	0	days/week	100054	100307	2	0	2	0	0	ACE touchscreen question "In a typical WEEK, on how many days did you walk for at least 10 minutes at a time? (Include walking that you do at work, travelling to and from work, and for sport or leisure)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 7 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of days in a week that you walk for at least 10 minutes<br>continuously at a time.<br></i></td></tr></table>	2012-01-05	2019-03-10	501676	557360	0
874	Duration of walks	0	0	0	11	0	0	0	1	0	0	minutes/day	100054	100291	2	0	2	0	0	ACE touchscreen question "How many minutes did you usually spend walking on a typical DAY?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 1440 then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 300 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of minutes that you usually spend walking in one day.<br>If the time you usually spend walking on each day of the week varies a<br>lot, give an average of the time you spend walking. For instance if on<br>one day of the week you usually walk for 4 hours but on the other day<br>you walk 2 hours then give the average - that is 3 hours.<br></i></td></tr></table><p>~F874~ was collected from participants who indicated that they walked for 10 minutes on at least 1 day per week in the previous 4 weeks, as defined by their answers to ~F864~	2012-01-05	2019-03-10	479819	532360	0
884	Number of days/week of moderate physical activity 10+ minutes	0	0	0	11	0	0	0	1	0	0	days/week	100054	100291	2	0	2	0	0	ACE touchscreen question "In a typical WEEK, on how many days did you do 10 minutes or more of moderate physical activities like carrying light loads, cycling at normal pace?  (Do not include walking)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 7 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of days in a week that you do moderate physical activities<br>for at least 10 minutes continuously at a time. Remember to include activities<br>that you do for work, leisure, travel and around the house.<br></i></td></tr></table>	2012-01-05	2019-03-10	501672	557356	0
894	Duration of moderate activity	0	0	0	11	0	0	0	1	0	0	minutes/day	100054	100291	2	0	2	0	0	ACE touchscreen question "How many minutes did you usually spend doing moderate activities on a typical DAY?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 1440 then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 300 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing moderate physical activity on each day<br>of the week varies a lot, give an average of the time you spend doing moderate<br>physical activity.<br></i></td></tr></table><p>~F894~ was collected from participants who indicated that they did moderate physical activities for 10 minutes on at least 1 day per week in the previous 4 weeks, as defined by their answers to question ~F884~	2012-01-05	2019-03-10	416780	460584	0
904	Number of days/week of vigorous physical activity 10+ minutes	0	0	0	11	0	0	0	1	0	0	days/week	100054	100291	2	0	2	0	0	ACE touchscreen question "In a typical WEEK, how many days did you do 10 minutes or more of vigorous physical activity? (These are activities that make you sweat or breathe hard such as fast cycling, aerobics, heavy lifting)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 7 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of days in a week that you do vigorous physical activities for<br>at least 10 minutes continuously at a time. Remember to include activities that<br>you do for work, leisure, travel and around the house.<br></i></td></tr></table>	2012-01-05	2019-03-10	501672	557356	0
914	Duration of vigorous activity	0	0	0	11	0	0	0	1	0	0	minutes/day	100054	100291	2	0	2	0	0	ACE touchscreen question "How many minutes did you usually spend doing vigorous activities on a typical DAY?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 1440 then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 300 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing vigorous physical activity on each day<br>of the week varies a lot, give an average of the time you spend doing vigorous<br>physical activity.<br></i></td></tr></table><p>This information was collected from participants who indicated that they did vigorous physical activities for 10 minutes on at least 1 day per week in the previous 4 weeks, as defined by their answers to ~F904~	2012-01-05	2019-03-10	302571	331724	0
924	Usual walking pace	0	0	0	21	11	0	0	1	0	0		100054	100313	2	0	2	0	0	ACE touchscreen question "How would you describe your usual walking pace? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Slow pace is defined as less than 3 miles per hour.<br>Steady average pace is defined as between 3-4 miles per hour.<br>Fast pace is defined as more than 4 miles per hour.<br></i></td></tr></table><p>~F924~ was collected from all participants except those who indicated they were unable to walk, as defined by their answers to ~F864~	2012-01-05	2019-03-10	499774	555338	0
943	Frequency of stair climbing in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100314	2	0	2	0	0	ACE touchscreen question "At home, during the last 4 weeks, about how many times a DAY do you climb a flight of stairs? (approx 10 steps)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F943~ was collected from all participants except those who indicated they were unable to walk, as defined by their answers to ~F864~	2012-01-05	2019-03-10	496853	551582	0
971	Frequency of walking for pleasure in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	2	0	0	ACE touchscreen question "How many times in the last 4 weeks did you go walking for pleasure?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F971~ was collected from participants who indicated that they spent time walking for pleasure in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	357893	394514	0
981	Duration walking for pleasure	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	2	0	0	ACE touchscreen question "Each time you went walking for pleasure, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F981~ was collected from all participants who indicated that they spent time walking for pleasure in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	357893	394514	0
991	Frequency of strenuous sports in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	2	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do strenuous sports?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F991~ was collected from all participants who indicated that they spent time doing strenuous sports in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	52808	56647	0
1001	Duration of strenuous sports	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	2	0	0	ACE touchscreen question "Each time you did strenuous sports, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1001~ was collected from all participants who indicated that they spent time doing strenuous sports in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	52808	56647	0
1011	Frequency of light DIY in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	2	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do light DIY?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1011~ was collected from all participants who indicated that they spent time doing light DIY (e.g. pruning, watering the lawn) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	258068	279847	0
1021	Duration of light DIY	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	2	0	0	ACE touchscreen question "Each time you did light DIY, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1021~ was collected from all participants who indicated that they spent time doing light DIY (e.g. pruning, watering the lawn) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	258068	279847	0
1031	Frequency of friend/family visits	0	0	0	21	11	0	0	1	0	0		100061	100327	2	0	2	0	0	ACE touchscreen question "How often do you visit friends or family or have them visit you?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies, please give an average of how often<br>you visit or have had visits in the last year.<br>Include meeting with friends or family in environments<br>outside of the home such as in the park, at a sports<br>field, at a restaurant or pub.<br></i></td></tr></table>	2012-01-05	2019-03-10	498731	553577	1
1050	Time spend outdoors in summer	0	0	0	11	0	0	0	1	0	0	hours/day	100055	100329	2	0	2	0	0	ACE touchscreen question "In a typical DAY in summer, how many hours do you spend outdoors?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend outdoors in summer varies a lot, give the<br>average time per day. For example if you spend 1 hour a day on each<br>weekday and 4 hours a day on the weekend, the total hours in a week<br>is 13 (5 + 8), so you spend approximately 2 hours a day.<br></i></td></tr></table>	2012-01-05	2019-03-10	498731	553577	1
1060	Time spent outdoors in winter	0	0	0	11	0	0	0	1	0	0	hours/day	100055	100329	2	0	2	0	0	ACE touchscreen question "In a typical DAY in winter, how many hours do you spend outdoors?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend outdoors in winter varies a lot, give the<br>average time per day. For example if you spend 1 hour a day on each<br>weekday and 4 hours a day on the weekend, the total hours in a week<br>is 13 (5 + 8), so you spend approximately 2 hours a day.<br></i></td></tr></table>	2012-01-05	2019-03-10	498731	553577	2
1070	Time spent watching television (TV)	0	0	0	11	0	0	0	1	0	0	hours/day	100054	100329	2	0	2	0	0	ACE touchscreen question "In a typical DAY, how many hours do you spend watching TV? (Put 0 if you do not spend any time doing it)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 8 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend watching TV varies a lot, give<br>the average time for a 24 hour day in the last 4 weeks.<br></i></td></tr></table>	2012-01-05	2019-03-10	501667	557351	0
1080	Time spent using computer	0	0	0	11	0	0	0	1	0	0	hours/day	100054	100329	2	0	2	0	0	ACE touchscreen question "In a typical DAY, how many hours do you spend using the computer? (Do not include using a computer at work; put 0 if you do not spend any time doing it)" <p>The following checks were performed: <ul> <li>If answer < 0 then rejected</li> <li>If answer > 24 then rejected</li> <li>If answer > 6 then participant asked to confirm</li> </ul> <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If the time you spend on the computer varies a lot, give the average <br>time for a 24 hour day in the last 4 weeks. Remember not to include <br>time spent on a computer at work. <br></i></td></tr> </table> <p> This question was first asked in 2006 so needs to be interpreted in the light of technological development at that time when computers would generally mean either desktop or laptop PC systems. In 2019 the wording will be changed to<br>"In a typical DAY, how many hours do you spend using a computer/laptop, tablet or smartphone?"	2012-01-05	2019-03-10	498729	553575	0
1090	Time spent driving	0	0	0	11	0	0	0	1	0	0	hours/day	100054	100329	2	0	2	0	0	ACE touchscreen question "In a typical DAY, how many hours do you spend driving?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 6 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend driving varies a lot, give the average time<br>for a 24 hour day in the last 4 weeks.<br>Include driving a car, bus, motorcycle, boat, truck etc.<br>Include all the driving that you do as part of work, getting to work<br>or outside of work.<br>If you do not drive please enter 0.<br></i></td></tr></table>	2012-01-05	2019-03-10	501450	557107	0
1100	Drive faster than motorway speed limit	0	0	0	21	11	0	0	1	0	0		100054	100334	2	0	2	0	0	ACE touchscreen question "How often do you drive faster than the speed limit on the motorway?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table> <p> At the time of asking (2006) the UK motorway speed limit was 70miles/hour.	2012-01-05	2019-03-10	501450	557107	0
1110	Length of mobile phone use	0	0	0	21	11	0	0	1	0	0		100053	100335	2	0	2	0	0	ACE touchscreen question "For approximately how many years have you been using a mobile phone at least once per week to make or receive calls?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Do not include time spent text messaging.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501666	557350	1
1120	Weekly usage of mobile phone in last 3 months	0	0	0	21	11	0	0	1	0	0		100053	100336	2	0	2	0	0	ACE touchscreen question "Over the last 3 months, on average how much time per week did you spend making or receiving calls on a mobile phone?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1120~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05	2019-03-10	427711	473370	2
1130	Hands-free device/speakerphone use with mobile phone in last 3 month	0	0	0	21	11	0	0	1	0	0		100053	100337	2	0	2	0	0	ACE touchscreen question "Over the last 3 months, how often have you used a hands-free device/speakerphone when making or receiving calls on your mobile?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1130~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05	2019-03-10	427711	473370	5
1140	Difference in mobile phone use compared to two years previously	0	0	0	21	11	0	0	1	0	0		100053	100338	2	0	2	0	0	ACE touchscreen question "Is there any difference between your mobile phone use now compared to two years ago?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1140~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05	2019-03-10	427711	473370	6
1150	Usual side of head for mobile phone use	0	0	0	21	11	0	0	1	0	0		100053	100339	2	0	2	0	0	ACE touchscreen question "On what side of the head do you usually use a mobile phone?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1150~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05	2019-03-10	427709	473368	8
1160	Sleep duration	0	0	0	11	0	0	0	1	0	0	hours/day	100057	100291	2	0	2	0	0	ACE touchscreen question "About how many hours sleep do you get in every 24 hours? (please include naps)"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 23 then rejected</li><li>If answer < 3 then participant asked to confirm</li><li>If answer > 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend sleeping varies a lot, give the<br>average time for a 24 hour day in the last 4 weeks.<br></i></td></tr></table>	2012-01-05	2019-03-10	501663	557347	1
1170	Getting up in morning	0	0	0	21	11	0	0	1	0	0		100057	100341	2	0	2	0	0	ACE touchscreen question "On an average day, how easy do you find getting up in the morning?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05	2019-03-10	498726	553572	2
1180	Morning/evening person (chronotype)	0	0	0	21	11	0	0	1	0	0		100057	100342	2	0	2	0	0	ACE touchscreen question "Do you consider yourself to be?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05	2019-03-10	498724	553570	3
1190	Nap during day	0	0	0	21	11	0	0	1	0	0		100057	100343	2	0	2	0	0	ACE touchscreen question "Do you have a nap during the day?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05	2019-03-10	501660	557344	4
1200	Sleeplessness / insomnia	0	0	0	21	11	0	0	1	0	0		100057	100343	2	0	2	0	0	ACE touchscreen question "Do you have trouble falling asleep at night or do you wake up in the middle of the night?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05	2019-03-10	501659	557343	5
1210	Snoring	0	0	0	21	11	0	0	1	0	0		100057	100345	2	0	2	0	0	ACE touchscreen question "Does your partner or a close relative or friend complain about your snoring?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501659	557343	6
1220	Daytime dozing / sleeping (narcolepsy)	0	0	0	21	11	0	0	1	0	0		100057	100346	2	0	2	0	0	ACE touchscreen question "How likely are you to doze off or fall asleep during the daytime when you don't mean to? (e.g. when working, reading or driving)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501659	557343	7
1239	Current tobacco smoking	0	0	0	21	11	0	0	1	0	0		100058	100347	2	0	2	0	0	ACE touchscreen question "Do you smoke tobacco now?"	2012-01-05	2019-03-10	501659	557343	2960
1249	Past tobacco smoking	0	0	0	21	11	0	0	1	0	0		100058	100348	2	0	2	0	0	ACE touchscreen question "In the past, how often have you smoked tobacco?"<p>~F1249~ was collected from all participants except those who indicated they currently smoke on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	463460	516667	2970
1259	Smoking/smokers in household	0	0	0	21	11	0	0	1	0	0		100058	100370	2	0	2	0	0	ACE touchscreen question "Does anyone in your household smoke?"<p>~F1259~ was collected from all participants except those who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	460876	513292	3210
1269	Exposure to tobacco smoke at home	0	0	0	11	0	0	0	1	0	0	hours/week	100058	100291	2	0	2	0	0	ACE touchscreen question "At home, about how many hours per WEEK are you exposed to other people's tobacco smoke?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 168 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please give the number of hours in a typical week over the<br>last year that you have been exposed to other people's tobacco<br>smoke in the home environment.<br></i></td></tr></table><p>~F1269~ was collected from all participants except those who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	463840	517067	3220
1279	Exposure to tobacco smoke outside home	0	0	0	11	0	0	0	1	0	0	hours/week	100058	100291	2	0	2	0	0	ACE touchscreen question "Outside of your home, about how many hours per WEEK are you exposed to other people's tobacco smoke?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 168 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please give the number of hours in a typical week over the<br>last year that you have been exposed to other people's tobacco<br>smoke in environments other than the home (include work, pubs,<br>restaurants etc).<br></i></td></tr></table><p>~F1279~ was collected from all participants except those who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	463840	517067	3230
1289	Cooked vegetable intake	0	0	0	11	0	0	0	1	0	0	tablespoons/day	100052	100373	2	0	2	0	0	ACE touchscreen question "On average how many heaped tablespoons of COOKED vegetables would you eat per DAY? (Do not include potatoes; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 50 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you have less than one tablespoon a day select Less than one.<br></i></td></tr></table>	2012-01-05	2019-03-10	501657	557341	1
1299	Salad / raw vegetable intake	0	0	0	11	0	0	0	1	0	0	tablespoons/day	100052	100373	2	0	2	0	0	ACE touchscreen question "On average how many heaped tablespoons of SALAD or RAW vegetables would you eat per DAY? (Include lettuce, tomato in sandwiches; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 50 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you have less than one tablespoon a day select Less than one.<br></i></td></tr></table>	2012-01-05	2019-03-10	501657	557341	2
1309	Fresh fruit intake	0	0	0	11	0	0	0	1	0	0	pieces/day	100052	100373	2	0	2	0	0	ACE touchscreen question "About how many pieces of FRESH fruit would you eat per DAY? (Count one apple, one banana, 10 grapes etc as one piece; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 50 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501657	557341	3
1319	Dried fruit intake	0	0	0	11	0	0	0	1	0	0	pieces/day	100052	100373	2	0	2	0	0	ACE touchscreen question "About how many pieces of DRIED fruit would you eat per DAY? (Count one prune, one dried apricot, 10 raisins as one piece; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 100 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501656	557340	4
1329	Oily fish intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat oily fish? (e.g. sardines, salmon, mackerel, herring)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br>Oily fish include:<br>  Salmon  Anchovies<br>  Trout   Swordfish<br>  Mackerel  Bloater<br>  Herring  Cacha<br>  Sardines  Carp<br>  Pilchards  Hilsa<br>  Kipper   Jack fish<br>  Eel   Katla<br>  Whitebait  Orange roughy<br>  Tuna (fresh only) Pangas<br>  Sprats<br></i></td></tr></table>	2012-01-05	2019-03-10	501656	557340	5
1339	Non-oily fish intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat other types of fish? (e.g. cod, tinned tuna, haddock)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501656	557340	6
1349	Processed meat intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat processed meats (such as bacon, ham, sausages, meat pies, kebabs, burgers, chicken nuggets)?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501655	557339	7
1359	Poultry intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat chicken, turkey or other poultry? (Do not count processed meats)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table> <p>Poultry include fowl (e.g. chicken, turkey, quail), waterfowl (e.g. duck, goose) and game (e.g. pheasant).	2012-01-05	2019-03-10	501655	557339	8
1369	Beef intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat beef? (Do not count processed meats)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501655	557339	9
1379	Lamb/mutton intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat lamb/mutton? (Do not count processed meats)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501655	557339	10
1389	Pork intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat pork? (Do not count processed meats such as bacon or ham)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501653	557337	11
1408	Cheese intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	2	0	0	ACE touchscreen question "How often do you eat cheese? (Include cheese in pizzas, quiches, cheese sauce etc)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1408~ was collected from all participants except those who indicated that they never eat dairy products, as defined by their answers to ~F6144~	2012-01-05	2019-03-10	490176	544236	15
1418	Milk type used	0	0	0	21	11	0	0	1	0	0		100052	100387	2	0	2	0	0	ACE touchscreen question "What type of milk do you mainly use?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you use more than one type of milk, please select the one that<br>you drink the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501583	557254	16
1428	Spread type	0	0	0	21	11	0	0	1	0	0		100052	100388	2	0	2	0	0	ACE touchscreen question "What type of spread do you mainly use?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you use more than one type of spread, please select the one that<br>you use the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	498716	553562	17
1438	Bread intake	0	0	0	11	0	0	0	1	0	0	slices/week	100052	100373	2	0	2	0	0	ACE touchscreen question "How many slices of bread do you eat each WEEK?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 50 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>For other types of bread:<br> - one bread roll = 2 slices<br> - one pitta bread = 2 slices<br><br></i></td></tr></table>	2012-01-05	2019-03-10	498716	553562	20
1448	Bread type	0	0	0	21	11	0	0	1	0	0		100052	100391	2	0	2	0	0	ACE touchscreen question "What type of bread do you mainly eat?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you eat more than one type of bread, please select the one<br>that you eat the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table><p>~F1448~ was collected from all participants except those who indicated that they do not eat bread or less than one slice each week, as defined by their answers to ~F1438~	2012-01-05	2019-03-10	483284	534734	21
1458	Cereal intake	0	0	0	11	0	0	0	1	0	0	bowls/week	100052	100373	2	0	2	0	0	ACE touchscreen question "How many bowls of cereal do you eat a WEEK?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 14 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501551	557220	23
1468	Cereal type	0	0	0	21	11	0	0	1	0	0		100052	100393	2	0	2	0	0	ACE touchscreen question "What type of cereal do you mainly eat?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you eat more than one type of cereal, please select the one that<br>you eat the most. If you are unsure, select Do not know.<br></i></td></tr></table><p>~F1468~ was collected from all participants except those who indicated that they do not eat cereal or less than one bowl of cereal each week, as defined by their answers to ~F1458~	2012-01-05	2019-03-10	418291	461060	24
1478	Salt added to food	0	0	0	21	11	0	0	1	0	0		100052	100394	2	0	2	0	0	ACE touchscreen question "Do you add salt to your food? (Do not include salt used in cooking)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05	2019-03-10	501653	557337	25
1488	Tea intake	0	0	0	11	0	0	0	1	0	0	cups/day	100052	100373	2	0	2	0	0	ACE touchscreen question "How many cups of tea do you drink each DAY? (Include black and green tea)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501653	557337	26
1498	Coffee intake	0	0	0	11	0	0	0	1	0	0	cups/day	100052	100373	2	0	2	0	0	ACE touchscreen question "How many cups of coffee do you drink each DAY? (Include decaffeinated coffee)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501653	557337	27
1508	Coffee type	0	0	0	21	11	0	0	1	0	0		100052	100397	2	0	2	0	0	ACE touchscreen question "What type of coffee do you usually drink?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you drink more than one type of coffee, please select the one that<br>you drink the most. If you are unsure, select Do not know.<br></i></td></tr></table><p>~F1508~ was collected from participants who indicated that they drank at least 1 cup of coffee each day or less than one cup each day, as defined by their answers to ~F1498~	2012-01-05	2019-03-10	390290	432076	28
1518	Hot drink temperature	0	0	0	21	11	0	0	1	0	0		100052	100398	2	0	2	0	0	ACE touchscreen question "How do you like your hot drinks? (Such as coffee or tea)"	2012-01-05	2019-03-10	501653	557337	29
1528	Water intake	0	0	0	11	0	0	0	1	0	0	glasses/day	100052	100373	2	0	2	0	0	ACE touchscreen question "How many glasses of water do you drink each DAY? "<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	501653	557337	30
1538	Major dietary changes in the last 5 years	0	0	0	21	11	0	0	1	0	0		100052	100400	2	0	2	0	0	ACE touchscreen question "Have you made any major changes to your diet in the last 5 years?"	2012-01-05	2019-03-10	501653	557337	31
1548	Variation in diet	0	0	0	21	11	0	0	1	0	0		100052	100401	2	0	2	0	0	ACE touchscreen question "Does your diet vary much from week to week?"	2012-01-05	2019-03-10	498716	553562	32
1558	Alcohol intake frequency.	0	0	0	21	11	0	0	1	0	0		100051	100402	2	0	2	0	0	ACE touchscreen question "About how often do you drink alcohol?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, please provide an average considering your intake<br>over the last year<br></i></td></tr></table>	2012-01-05	2019-03-10	501653	557337	1
1568	Average weekly red wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average WEEK, how many glasses of RED wine would you drink? (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling red wine here.<br></i></td></tr></table><p>~F1568~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	348566	386324	9
1578	Average weekly champagne plus white wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average WEEK, how many glasses of WHITE wine or champagne would you drink? (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling white wine here.<br></i></td></tr></table><p>~F1578~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	348565	386323	10
1588	Average weekly beer plus cider intake	0	0	0	11	0	0	0	1	0	0	pints	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average WEEK, how many pints of beer or cider would you drink? (Include bitter, lager, stout, ale, Guinness)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>~F1588~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	348565	386323	11
1598	Average weekly spirits intake	0	0	0	11	0	0	0	1	0	0	measures	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average WEEK, how many measures of spirits or liqueurs would you drink? (there are 25 standard measures in a normal sized bottle;  spirits include drinks such as whisky, gin, rum, vodka, brandy)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>For mixed drinks that contain spirits or liqueurs, count one bottle<br>as one measure. There is a question later on alcopops<br></i></td></tr></table><p>~F1598~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	348565	386323	12
1608	Average weekly fortified wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average WEEK, how many glasses of fortified wine would you drink? (There are 12 glasses in an average bottle) (Fortified wines include drinks such as sherry, port, vermouth)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Fortified wines include: Sherry, Port, Vermouth, Muscat,<br>Madeira, Malaga, Tokay, Frontignan, Frontignac.<br></i></td></tr></table><p>~F1608~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	348565	386323	13
1618	Alcohol usually taken with meals	0	0	0	21	11	0	0	1	0	0		100051	100416	2	0	2	0	0	ACE touchscreen question "When you drink alcohol is it usually with meals?"<p>~F1618~ was collected from participants who indicated they drink alcohol, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	393705	439316	15
1628	Alcohol intake versus 10 years previously	0	0	0	21	11	0	0	1	0	0		100051	100417	2	0	2	0	0	ACE touchscreen question "Compared to 10 years ago, do you drink?"<p>~F1628~ was collected from participants who indicated they drink alcohol, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	460832	512352	16
1647	Country of birth (UK/elsewhere)	0	0	0	21	11	0	0	1	0	0		100033	100420	2	0	2	0	0	ACE touchscreen question "Where were you born?" <p> Participants who indicated they were born inside the United Kingdom were asked during the verbal interview in what area they had been born (~F129~ and ~F130~). <p> Participants who indicated they were born outside the United Kingdom and Republic of Ireland were asked during the verbal interview in what country they had been born (~F20115~) and when they had immigrated (~F3659~).	2012-01-05	2016-11-03	501644	533645	1
1677	Breastfed as a baby	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	2	0	0	ACE touchscreen question "Were you breastfed when you were a baby?"	2012-01-05	2016-11-03	501644	533645	2
1687	Comparative body size at age 10	0	0	0	21	11	0	0	1	0	0		100033	100428	2	0	2	0	0	ACE touchscreen question "When you were 10 years old, compared to average would you describe yourself as:"	2012-01-05	2016-11-03	501644	533645	3
1697	Comparative height size at age 10	0	0	0	21	11	0	0	1	0	0		100033	100429	2	0	2	0	0	ACE touchscreen question "When you were 10 years old, compared to average would you describe yourself as:"	2012-01-05	2016-11-03	501644	533645	4
1707	Handedness (chirality/laterality)	0	0	0	21	11	0	0	1	0	0		100033	100430	2	0	2	0	0	ACE touchscreen question "Are you right or left handed?"	2012-01-05	2016-11-03	501644	533645	5
1717	Skin colour	0	0	0	21	11	0	0	1	0	0		100055	100431	2	0	2	0	0	ACE touchscreen question "What best describes the colour of your skin without tanning?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2016-11-03	501643	533644	3
1727	Ease of skin tanning	0	0	0	21	11	0	0	1	0	0		100055	100432	2	0	2	0	0	ACE touchscreen question "What would happen to your skin if it was repeatedly exposed to bright sunlight without any protection?"	2012-01-05	2016-11-03	498438	529869	4
1737	Childhood sunburn occasions	0	0	0	11	0	0	0	1	0	0	times	100055	100291	2	0	2	0	0	ACE touchscreen question "Before the age of 15, how many times did you suffer sunburn that was painful for at least 2 days or caused blistering?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 999 then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2016-11-03	498438	529869	5
1747	Hair colour (natural, before greying)	0	0	0	21	11	0	0	1	0	0		100055	100434	2	0	2	0	0	ACE touchscreen question "What best describes your natural hair colour? (If your hair colour is grey, the colour before you went grey)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please select the colour closest to your natural<br>adult hair colour or select Do not know.<br></i></td></tr></table>	2012-01-05	2016-11-03	501643	533644	6
1757	Facial ageing	0	0	0	21	11	0	0	1	0	0		100055	100435	2	0	2	0	0	ACE touchscreen question "Do people say that you look:"	2012-01-05	2019-03-10	498713	553559	7
1767	Adopted as a child	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	2	0	0	ACE touchscreen question "Were you adopted as a child?"	2012-01-05	2019-03-10	501650	557334	6
1777	Part of a multiple birth	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	2	0	0	ACE touchscreen question "Are you a twin, triplet or other multiple birth?"<p>~F1777~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2016-11-03	494300	525830	7
1787	Maternal smoking around birth	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	2	0	0	ACE touchscreen question "Did your mother smoke regularly around the time when you were born?"<p>~F1787~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2016-11-03	494300	525830	8
1797	Father still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	2	0	0	ACE touchscreen question "Is your father still alive?"<p>~F1797~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	494315	549216	1
1807	Father's age at death	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	2	0	0	ACE touchscreen question "What was his age when he died?"<p>The following checks were performed:<ul><li>If answer < 10 then rejected</li><li>If answer > 122 then rejected</li><li>If answer < 15 then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F1807~ was collected from participants who indicated their father has died, as defined by their answers to ~F1797~ or, if they are adopted, their adopted father has died, as defined by their answers to ~F1797~	2012-01-05	2019-03-10	383973	425080	4
1835	Mother still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	2	0	0	ACE touchscreen question "Is your mother still alive?"<p>~F1835~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	494315	549216	12
1845	Mother's age	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	2	0	0	ACE touchscreen question "What is her age now?"<p>The following checks were performed:<ul><li>If answer < Participants age + 10 years then rejected</li><li>If answer > 122 then rejected</li><li>If answer < Participants age + 14 years then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F1845~ was collected from participants who indicated their mother is still alive, as defined by their answers to ~F1835~ or, if they are adopted, their adopted mother is still alive, as defined by their answers to ~F1835~	2012-01-05	2019-03-10	199413	214756	14
1873	Number of full brothers	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	2	0	0	ACE touchscreen question "How many brothers do you have? (Please include those who have died, and twin brothers. Do not include half-brothers, step-brothers or adopted brothers)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F1873~ was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	494312	549213	23
1883	Number of full sisters	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	2	0	0	ACE touchscreen question "How many sisters do you have? (Please include those who have died, and twin sisters. Do not include half-sisters, step-sisters or adopted sisters)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F1883~ was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	494312	549213	25
1920	Mood swings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Does your mood often go up and down?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501646	557330	1
1930	Miserableness	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Do you ever feel 'just miserable' for no reason?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501646	557330	2
1940	Irritability	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Are you an irritable person?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501646	557330	3
1950	Sensitivity / hurt feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Are your feelings easily hurt?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501645	557329	4
1960	Fed-up feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Do you often feel 'fed-up'?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501645	557329	5
1970	Nervous feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Would you call yourself a nervous person?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501645	557329	6
1980	Worrier / anxious feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Are you a worrier?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501644	557328	7
1990	Tense / 'highly strung'	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Would you call yourself tense or 'highly strung'?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501644	557328	8
2000	Worry too long after embarrassment	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Do you worry too long after an embarrassing experience?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501644	557328	9
2010	Suffer from 'nerves'	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Do you suffer from 'nerves'?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501644	557328	10
2020	Loneliness, isolation	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Do you often feel lonely?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501643	557327	11
2030	Guilty feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Are you often troubled by feelings of guilt?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501643	557327	12
2040	Risk taking	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Would you describe yourself as someone who takes risks?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05	2019-03-10	501643	557327	13
2050	Frequency of depressed mood in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	2	0	0	ACE touchscreen question "Over the past two weeks, how often have you felt down, depressed or hopeless?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05	2019-03-10	501643	557327	20
2060	Frequency of unenthusiasm / disinterest in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	2	0	0	ACE touchscreen question "Over the past two weeks, how often have you had little interest or pleasure in doing things?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05	2019-03-10	501642	557326	21
2070	Frequency of tenseness / restlessness in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	2	0	0	ACE touchscreen question "Over the past two weeks, how often have you felt tense, fidgety or restless?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05	2019-03-10	501641	557325	22
2080	Frequency of tiredness / lethargy in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	2	0	0	ACE touchscreen question "Over the past two weeks, how often have you felt tired or had little energy?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05	2019-03-10	501640	557324	23
2090	Seen doctor (GP) for nerves, anxiety, tension or depression	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Have you ever seen a general practitioner (GP) for nerves, anxiety, tension or depression?"	2012-01-05	2019-03-10	501639	557323	24
2100	Seen a psychiatrist for nerves, anxiety, tension or depression	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Have you ever seen a psychiatrist for nerves, anxiety, tension or depression?"	2012-01-05	2019-03-10	501639	557323	25
2110	Able to confide	0	0	0	21	11	0	0	1	0	0		100061	100501	2	0	2	0	0	ACE touchscreen question "How often are you able to confide in someone close to you?"	2012-01-05	2019-03-10	501638	557322	4
2129	Answered sexual history questions	0	0	0	21	11	0	0	1	0	0		100056	100503	2	0	2	0	0	ACE touchscreen question "The next section contains questions about your sexual history. If you feel that a question is too sensitive, you can skip the question or skip the entire section if you prefer."	2012-01-05	2019-03-10	501636	557320	1
2139	Age first had sexual intercourse	0	0	0	11	0	0	0	1	0	0	years	100056	100504	2	0	2	0	0	ACE touchscreen question "What was your age when you first had sexual intercourse? (Sexual intercourse includes vaginal, oral or anal intercourse)"<p>The following checks were performed:<ul><li>If answer < 3 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	456354	506361	2
2149	Lifetime number of sexual partners	0	0	0	11	0	0	0	1	0	0		100056	100291	2	0	2	0	0	ACE touchscreen question "About how many sexual partners have you had in your lifetime?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 99997 then rejected</li><li>If answer > 99 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2149~ was collected from all participants except those who indicated they never had had sexual intercourse, as defined by their answers to ~F2139~	2012-01-05	2019-03-10	452147	501649	3
2159	Ever had same-sex intercourse	0	0	0	21	11	0	0	1	0	0		100056	100352	2	0	2	0	0	ACE touchscreen question "Have you ever had sexual intercourse with someone of the same sex?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br></i></td></tr></table><p>~F2159~ was collected from all participants except those who indicated they never had had sexual intercourse, as defined by their answers to ~F2139~	2012-01-05	2019-03-10	452147	501649	4
2178	Overall health rating	0	0	0	21	11	0	0	1	0	0		100042	100508	2	0	2	0	0	ACE touchscreen question "In general how would you rate your overall health?"	2012-01-05	2019-03-10	501632	557316	1
2188	Long-standing illness, disability or infirmity	0	0	0	21	11	0	0	1	0	0		100042	100349	2	0	2	0	0	ACE touchscreen question "Do you have any long-standing illness, disability or infirmity?"	2012-01-05	2019-03-10	501632	557316	2
2207	Wears glasses or contact lenses	0	0	0	21	11	0	0	1	0	0		100041	100352	2	0	2	0	0	ACE touchscreen question "Do you wear glasses or contact lenses to correct your vision?"	2012-01-05	2019-03-10	501632	557316	1
2217	Age started wearing glasses or contact lenses	0	0	0	11	0	0	0	1	0	0		100041	100291	2	0	2	0	0	ACE touchscreen question "What age did you first start to wear glasses or contact lenses?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 4 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2217~ was collected from participants who indicated they wear glasses or contact lenses to correct their vision, as defined by their answers to ~F2207~	2012-01-05	2019-03-10	444403	492423	2
2227	Other eye problems	0	0	0	21	11	0	0	1	0	0		100041	100352	2	0	2	0	0	ACE touchscreen question "Do you have any other problems with your eyes or eyesight?"	2012-01-05	2019-03-10	501631	557315	12
2237	Plays computer games	0	0	0	21	11	0	0	1	0	0		100053	100639	2	0	2	0	0	ACE touchscreen question "Do you play computer games?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past year.<br></i></td></tr></table>	2012-01-05	2019-03-10	501631	557315	9
2247	Hearing difficulty/problems	0	0	0	21	11	0	0	1	0	0		100043	100631	2	0	2	0	0	ACE touchscreen question "Do you have any difficulty with your hearing?"<p>The option to identify oneself as completely deaf was added in 2009 alongside the introduction of the speech-in-noise test.	2012-01-05	2019-03-10	498694	553540	1
2257	Hearing difficulty/problems with background noise	0	0	0	21	11	0	0	1	0	0		100043	100349	2	0	2	0	0	ACE touchscreen question "Do you find it difficult to follow a conversation if there is background noise (such as TV, radio, children playing)?"<p>~F2257~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05	2019-03-10	501501	557174	3
2267	Use of sun/uv protection	0	0	0	21	11	0	0	1	0	0		100055	100536	2	0	2	0	0	ACE touchscreen question "Do you wear sun protection (e.g. sunscreen lotion, hat) when you spend time outdoors in the summer?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	498694	553540	8
2277	Frequency of solarium/sunlamp use	0	0	0	11	0	0	0	1	0	0	times/year	100055	100537	2	0	2	0	0	ACE touchscreen question "How many times a year would you use a solarium or sunlamp?"<p>The following checks were performed:<ul><li>If answer > 9999 then rejected</li><li>If answer > 400 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	498694	553540	9
2296	Falls in the last year	0	0	0	21	11	0	0	1	0	0		100042	100539	2	0	2	0	0	ACE touchscreen question "In the last year have you had any falls?"	2012-01-05	2019-03-10	501631	557315	3
2306	Weight change compared with 1 year ago	0	0	0	21	11	0	0	1	0	0		100042	100540	2	0	2	0	0	ACE touchscreen question "Compared with one year ago, has your weight changed?"	2012-01-05	2019-03-10	501630	557314	4
2316	Wheeze or whistling in the chest in last year	0	0	0	21	11	0	0	1	0	0		100037	100349	2	0	2	0	0	ACE touchscreen question "In the last year have you ever had wheeze or whistling in the chest?"	2012-01-05	2019-03-10	501629	557313	1
2335	Chest pain or discomfort	0	0	0	21	11	0	0	1	0	0		100039	100349	2	0	2	0	0	ACE touchscreen question "Do you ever have any pain or discomfort in your chest?"	2012-01-05	2019-03-10	501627	557311	1
2345	Ever had bowel cancer screening	0	0	0	21	11	0	0	1	0	0		100040	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had a screening test for bowel (colorectal) cancer? (Please include tests for blood in the stool/faeces or a colonoscopy or a sigmoidoscopy)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Screening tests for bowel or colorectal cancer include:<br> - FOBT (faecal occult blood test) - this is when you<br>   are given a set of cards and asked to smear a part<br>   of your stool on three separate occasions onto the<br>   cards and then return the cards to be tested for<br>   blood.<br> - Sigmoidoscopy - a tube is used to examine the lower<br>   bowel. This is usually done in a doctor's office<br>   without pain relief.<br> - Colonoscopy - a long tube is used the examine the<br>   whole large bowel; you would usually have to drink<br>   a large amount of special liquid to prepare the<br>   bowel, and you would be given a sedative medication<br>   for the procedure.<br></i></td></tr></table>	2012-01-05	2019-03-10	501626	557310	1
2355	Most recent bowel cancer screening	0	0	0	11	0	0	0	1	0	0	years	100040	100567	2	0	2	0	0	ACE touchscreen question "How many years ago was the most recent one of these tests?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 5 years then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2355~ was collected from participants who indicated they have had a screening test for bowel (colorectal) cancer, as indicated by their answers to ~F2345~	2012-01-05	2019-03-10	174576	191742	2
2365	Ever had prostate specific antigen (PSA) test	0	0	0	21	11	0	0	1	0	1		100040	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had a blood test for prostate cancer (prostate specific antigen or PSA test)?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	228674	255747	3
2375	Relative age of first facial hair	0	0	0	21	11	0	0	1	0	1		100070	100570	2	0	2	0	0	ACE touchscreen question "When did you start to grow facial hair?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2016-11-03	227224	242541	1
2385	Relative age voice broke	0	0	0	21	11	0	0	1	0	1		100070	100570	2	0	2	0	0	ACE touchscreen question "When did your voice break?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2016-11-03	227224	242541	2
2395	Hair/balding pattern	0	0	0	21	11	0	0	1	0	1		100070	100572	2	0	2	0	0	ACE touchscreen question "Which of the following best describes your hair/balding pattern?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br><br>[Illustrations presented in this question have been adapted from<br>Giles et al. 2002 Cancer Epidemiol Biomarkers Prev]<br></i></td></tr></table>	2012-01-05	2019-03-10	227351	254029	3
2405	Number of children fathered	0	0	0	11	0	0	0	1	0	1		100070	100291	2	0	2	0	0	ACE touchscreen question "How many children have you fathered?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 200 then rejected</li><li>If answer > 15 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	227351	254029	4
2415	Had major operations	0	0	0	21	11	0	0	1	0	1		100047	100603	2	0	2	0	0	ACE touchscreen question "Have you had any major operations? (For example, operations that required an overnight stay in hospital)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have had a 'major' operation<br>select Do not know and you will be asked about this by<br>an interviewer later during this visit.<br></i></td></tr></table><p>~F2415~ is male question equivalent of female question ~F2844~	2012-01-05	2019-03-10	228673	255746	1
2443	Diabetes diagnosed by doctor	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	2	0	0	ACE touchscreen question "Has a doctor ever told you that you have diabetes?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have been told you had diabetes,<br>select Do not know and you will be asked about this by an<br>interviewer later during this visit.<br></i></td></tr></table>	2012-01-05	2019-03-10	501619	557303	12
2453	Cancer diagnosed by doctor	0	0	0	21	11	0	0	1	0	0		100044	100603	2	0	2	0	0	ACE touchscreen question "Has a doctor ever told you that you have had cancer?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have been told you had cancer, select<br>Do not know and you will be asked about this by an interviewer<br>later during this visit.<br></i></td></tr></table>	2012-01-05	2019-03-10	501619	557303	17
2463	Fractured/broken bones in last 5 years	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	2	0	0	ACE touchscreen question "Have you fractured/broken any bones in the last 5 years?"	2012-01-05	2019-03-10	501619	557303	18
2473	Other serious medical condition/disability diagnosed by doctor	0	0	0	21	11	0	0	1	0	0		100044	100603	2	0	2	0	0	ACE touchscreen question "Has a doctor ever told you that you have had any other serious medical conditions or disabilities?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you have a serious illness<br>or you are not sure that you have had one of the<br>conditions listed previously, enter Do not know<br>and you will be asked about this by an interviewer<br>later in this visit.<br></i></td></tr></table>	2012-01-05	2019-03-10	501619	557303	21
2492	Taking other prescription medications	0	0	0	21	11	0	0	1	0	0		100045	100603	2	0	2	0	0	ACE touchscreen question "Do you regularly take any other PRESCRIPTION medications? (Do not forget medications such as puffers or patches)"	2012-01-05	2019-03-10	501619	557303	3
2624	Frequency of heavy DIY in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	2	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do heavy DIY?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2624~ was collected from all participants who indicated that they spent time doing heavy DIY (e.g. weeding, lawn mowing, carpentry, digging) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	213219	230284	0
2634	Duration of heavy DIY	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	2	0	0	ACE touchscreen question "Each time you did heavy DIY, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2634~ was collected from all participants who indicated that they spent time doing heavy DIY (e.g. weeding, lawn mowing, carpentry, digging) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	213219	230284	0
2644	Light smokers, at least 100 smokes in lifetime	0	0	0	21	11	0	0	1	0	0		100058	100349	2	0	2	0	0	ACE touchscreen question "In your lifetime, have you smoked a total of at least 100 times?"<p>~F2644~ was collected from participants who indicated they smoked occasionally or Just tried once or twice, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	140823	153148	2980
2654	Non-butter spread type details	0	0	0	21	11	0	0	1	0	0		100052	100389	2	0	2	0	0	ACE touchscreen question "What type of spread do you mainly use?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you use more than one type of spread, please select the one that<br>you use the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table><p>~F2654~ was collected from participants who indicated they mainly use another type of spread/margarine rather than butter/spreadable butter or do not know what they use, as defined by their answers to ~F1428~	2012-01-05	2019-03-10	263584	282257	18
2664	Reason for reducing amount of alcohol drunk	0	0	0	21	11	0	0	1	0	0		100051	100418	2	0	2	0	0	ACE touchscreen question "Why did you reduce the amount you drank?"<p>~F2664~ was collected from participants who indicated they drink alcohol, as defined by their answers to ~F1558~ and they drink less nowadays than 10 years ago, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	216464	232096	17
2674	Ever had breast cancer screening / mammogram	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	2	0	0	ACE touchscreen question "Have you ever been for breast cancer screening (a mammogram)?"	2012-01-05	2019-03-10	272935	301540	1
2684	Years since last breast cancer screening / mammogram	0	0	0	11	0	0	0	1	0	2	years	100069	100567	2	0	2	0	0	ACE touchscreen question "How many years ago was your last screen?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 15 years then rejected</li><li>If answer > 15 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2684~ was collected from women who indicated that they had been for a mammogram, as defined by their answers to ~F2674~	2012-01-05	2019-03-10	221784	244573	2
2694	Ever had cervical smear test	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had a cervical smear test?"	2012-01-05	2019-03-10	272935	301540	3
2704	Years since last cervical smear test	0	0	0	11	0	0	0	1	0	2	years	100069	100569	2	0	2	0	0	ACE touchscreen question "How many years ago was your last cervical smear test?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 10 years then rejected</li><li>If answer > 15 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2704~ was collected from women who indicated that they had had a cervical smear test, as defined by their answers to ~F2694~	2012-01-05	2019-03-10	265900	293761	4
2714	Age when periods started (menarche)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	2	0	0	ACE touchscreen question "How old were you when your periods started?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 25 then rejected</li><li>If answer < 6 then participant asked to confirm</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	272935	301540	5
2724	Had menopause	0	0	0	21	11	0	0	1	0	2		100069	100579	2	0	2	0	0	ACE touchscreen question "Have you had your menopause (periods stopped)?"	2012-01-05	2019-03-10	272935	301540	6
2734	Number of live births	0	0	0	11	0	0	0	1	0	2	children	100069	100584	2	0	2	0	0	ACE touchscreen question "How many children have you given birth to? (Please include live births only)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 12 then participant asked to confirm</li></ul>	2012-01-05	2019-03-10	272933	301538	11
2744	Birth weight of first child	0	0	0	11	0	0	0	1	0	2	pounds	100069	100585	2	0	2	0	0	ACE touchscreen question "What was the birth weight of your first child in pounds? (do not include twins)"<p>The following checks were performed:<ul><li>If answer < 2 then rejected</li><li>If answer > 16 then rejected</li><li>If answer > 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure of the weight in pounds, here is a conversion table for pounds, grams and kilograms.<br><br>Pounds  Grams  Kilograms<br>2  907  0.91<br>3  1361  1.36<br>4  1814  1.81<br>5  2268  2.27<br>6  2721  2.72<br>7  3175  3.18<br>8  3629  3.63<br>9  4082  4.08<br>10  4536  4.54<br>11  4990  4.99<br>12  5443  5.44<br>13  5897  5.90<br>14  6350  6.35<br>15  6804  6.80<br><br>An exact answer is not necessary. Please enter the birthweight to the closest pound.<br>If your first birth was twins or other multiple birth, enter the birthweight of the first singleton birth.<br>If you have only had twins or other multiple births then select Only twins.<br></i></td></tr></table><p>~F2744~ was collected from women who indicated they had given birth to at least one child, as defined by their answers to ~F2734~	2012-01-05	2019-03-10	221496	244111	12
2754	Age at first live birth	0	0	0	11	0	0	0	1	0	2	years	100069	100586	2	0	2	0	0	ACE touchscreen question "How old were you when you had your FIRST child?"<p>The following checks were performed:<ul><li>If answer < 8 then rejected</li><li>If answer > 65 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < Age at first period then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 48 then participant asked to confirm</li><li>If answer > Age when periods stopped then participant asked to confirm</li></ul><p>~F2754~ was collected from women who indicated they had given birth to more than one child, as defined by their answers to ~F2734~	2012-01-05	2019-03-10	185025	203966	14
2764	Age at last live birth	0	0	0	11	0	0	0	1	0	2	years	100069	100586	2	0	2	0	0	ACE touchscreen question "How old were you when you had your LAST child?"<p>The following checks were performed:<ul><li>If answer < 8 then rejected</li><li>If answer > 65 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < Age at first period then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 48 then participant asked to confirm</li><li>If answer > Age when periods stopped then participant asked to confirm</li></ul><p>~F2764~ was collected from women who indicated they had given birth to more than one child, as defined by their answers to ~F2734~	2012-01-05	2019-03-10	185025	203966	15
2774	Ever had stillbirth, spontaneous miscarriage or termination	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had any stillbirths, spontaneous miscarriages or terminations?"	2012-01-05	2019-03-10	272932	301537	16
2784	Ever taken oral contraceptive pill	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	2	0	0	ACE touchscreen question "Have you ever taken the contraceptive pill? (include the 'mini-pill')"	2012-01-05	2019-03-10	272932	301537	20
2794	Age started oral contraceptive pill	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	2	0	0	ACE touchscreen question "About how old were you when you first went on the contraceptive pill?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 50 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2794~ was collected from women who indicated that they had taken the contraceptive pill, as defined by their answers to ~F2784~	2012-01-05	2019-03-10	220730	244442	22
2804	Age when last used oral contraceptive pill	0	0	0	11	0	0	0	1	0	2	years	100069	100595	2	0	2	0	0	ACE touchscreen question "How old were you when you last used the contraceptive pill?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 60 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are currently taking the pill select Still taking the pill.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2804~ was collected from women who indicated that they had taken the contraceptive pill, as defined by their answers to ~F2784~	2012-01-05	2019-03-10	220408	244033	23
2814	Ever used hormone-replacement therapy (HRT)	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	2	0	0	ACE touchscreen question "Have you ever used hormone replacement therapy (HRT)?"	2012-01-05	2019-03-10	272932	301537	24
2824	Age at hysterectomy	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you had your hysterectomy?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li><li>If answer < Age when had the only child or < Age when had the last child then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2824~ was collected from women who indicated they have had a hysterectomy (womb removed), as defined by their answers to ~F2724~ and ~F2724~	2012-01-05	2019-03-10	51661	56402	28
2834	Bilateral oophorectomy (both ovaries removed)	0	0	0	21	11	0	0	1	0	2		100069	100599	2	0	2	0	0	ACE touchscreen question "Have you had BOTH ovaries removed?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Only enter Yes if you have had both ovaries removed.<br>If you have only had one ovary removed you will be able<br>to let the interviewer know later in the visit.<br>If you are unsure of whether both ovaries have been<br>removed, select Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	272932	301537	29
2844	Had other major operations	0	0	0	21	11	0	0	1	0	2		100047	100603	2	0	2	0	0	ACE touchscreen question "Have you had any other major operations? (for example, operations that required an overnight stay in hospital)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have had a 'major' operation<br>select Do not know and you will be asked about this by<br>an interviewer later during this visit.<br></i></td></tr></table> <br> The <i>other</i> refers to operations other than hysterectomy and bilateral oophorectomy.	2012-01-05	2019-03-10	272932	301537	2
2867	Age started smoking in former smokers	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you first started smoking on most days?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>~F2867~ was collected from participants who indicated that in the past they smoked on most or all days, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	122941	134262	3110
2877	Type of tobacco previously smoked	0	0	0	21	11	0	0	1	0	0		100058	100351	2	0	2	0	0	ACE touchscreen question "What type of tobacco did you usually smoke?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you smoked both hand-rolled and manufactured cigarettes select the<br>one that you smoked more of.<br></i></td></tr></table><p>~F2877~ was collected from participants who indicated that in the past they smoked on most or all days, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	122941	134262	3120
2887	Number of cigarettes previously smoked daily	0	0	0	11	0	0	0	1	0	0	cigarettes/day	100058	100353	2	0	2	0	0	ACE touchscreen question "About how many cigarettes did you smoke on average each day? "<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 150 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the total number of cigarettes (including both hand-rolled and<br>manufactured cigarettes if both were smoked)<br>For hand-rolled cigarettes:<br>  - One ounce of tobacco makes about 30 cigarettes<br>  - One gram of tobacco makes about 1 cigarette<br></i></td></tr></table><p>~F2887~ was collected from participants who indicated that in the past they smoked on most or all days, as defined by their answers to ~F1249~ and they smoked manufactured or hand-rolled cigarettes in the past, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	117456	128079	3130
2897	Age stopped smoking	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you last smoked on most days?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>~F2897~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	122941	134262	3140
2907	Ever stopped smoking for 6+ months	0	0	0	21	11	0	0	1	0	0		100058	100349	2	0	2	0	0	ACE touchscreen question "In the time that you smoked, did you ever stop for more than 6 months?"<p>~F2907~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	122171	133328	3150
2926	Number of unsuccessful stop-smoking attempts	0	0	0	11	0	0	0	1	0	0		100058	100291	2	0	2	0	0	ACE touchscreen question "How many times did you try to give up smoking before you were successful?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 200 then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2926~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~ and that during the time they smoked they stopped for more than 6 months, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	122171	133328	3190
2936	Likelihood of resuming smoking	0	0	0	21	11	0	0	1	0	0		100058	100369	2	0	2	0	0	ACE touchscreen question "Do you think you may start smoking again?"<p>~F2936~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~ and that during the time they smoked they stopped for more than 6 months, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	122171	133328	3200
2946	Father's age	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	2	0	0	ACE touchscreen question "What is his age now?"<p>The following checks were performed:<ul><li>If answer < Participants age + 10 years then rejected</li><li>If answer > 122 then rejected</li><li>If answer < Participants age + 14 years then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F2946~ was collected from participants who indicated their father is still alive, as defined by their answers to ~F1797~ or, if they are adopted, their adopted father is still alive, as defined by their answers to ~F1797~	2012-01-05	2019-03-10	114722	122758	3
2956	General pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had pains all over the body for more than 3 months?"<p>~F2956~ was collected from participants who indicated that in the last month they experienced pain all over the body that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-10	9245	9403	9
2966	Age high blood pressure diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the high blood pressure was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2966~ was collected from participants who indicated they were told by a doctor that they have had high blood pressure, as defined by their answers to ~F6150~	2012-01-05	2019-03-10	139026	149613	5
2976	Age diabetes diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the diabetes was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2976~ was collected from men who indicated that a doctor had told them they have diabetes, as defined by their answers to ~F2443~ and all women except those who indicated they had diabetes only during pregnancy, as defined by their answers to ~F2443~	2012-01-05	2019-03-10	26548	28299	15
2986	Started insulin within one year diagnosis of diabetes	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	2	0	0	ACE touchscreen question "Did you start insulin within one year of your diagnosis of diabetes?"<p>~F2986~ was collected from men who indicated that a doctor had told them they have diabetes, as defined by their answers to ~F2443~ and all women except those who indicated they had diabetes only during pregnancy, as defined by their answers to ~F2443~	2012-01-05	2019-03-10	26573	28325	16
3005	Fracture resulting from simple fall	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	2	0	0	ACE touchscreen question "Did the fracture result from a simple fall (i.e. from standing height)?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>A simple fall is any fall from standing height or lower.<br>For example if you trip and fall over, this is a simple<br>fall.  Falls from a stool or chair that you are sitting<br>on are also counted as simple.  Falls from anything<br>higher ie: down a flight of stairs, from a ladder,<br>from standing on a stool or chair are NOT simple falls.<br>If you have had more than one fracture in the last 5 years,<br>select YES if any one of the fractures resulted from a simple<br>fall.<br></i></td></tr></table><p>~F3005~ was collected from participants who indicated they have had fractured/broken bones in the last 5 years, as defined by their answers to ~F2463~	2012-01-05	2019-03-10	51070	52583	20
3059	Result ranking	0	0	0	21	11	0	0	1	1	0		100020	22	2	0	2	0	2	How good was each blow; 1=best; 3=worst	2012-01-05	2019-03-10	456969	1377292	230
3060	Time of blow measurement	0	0	0	61	0	0	2	1	1	0		100020	0	2	0	2	0	2	When result was measured	2012-01-05	2019-03-10	456969	1377292	430
3061	Acceptability of each blow result	0	0	0	11	0	0	2	1	1	0		100020	0	2	0	2	0	2	Acceptability of spirometry result (bit field)<p>START_OF_TEST Set if the extrapolated volume at start of test is excessive = 0x01<br>TIME_TO_PEF Set if time to peak flow is excessive = 0x02<br>END_OF_TEST Set if an adequate plateau at the end of the test does not exist = 0x04<br>COUGHING Set if a cough was detected during the manovoure = 0x08<br>TEST_DURATION Set if the test is less than 6 seconds = 0x10<br>USER_ACCEPTED Specifies whether or not the test was explicitly acceped by the investigator = 0x20<br>USER_REJECTED Specifies whether or not the test was explicitly rejected by the investigator = 0x40<p>Hence a decimal value of 24 (0x08+0x10) indicates a test of less than 6 seconds during which a cough was detected.	2012-01-05	2019-03-10	456969	1377292	280
3062	Forced vital capacity (FVC)	0	0	0	31	0	0	0	1	1	0	litres	100020	0	2	0	2	0	2	FVC value calculated from blow	2012-01-05	2019-03-10	456969	1377292	300
3063	Forced expiratory volume in 1-second (FEV1)	0	0	0	31	0	0	0	1	1	0	litres	100020	0	2	0	2	0	2	FEV1 value calculated from blow	2012-01-05	2019-03-10	456969	1377292	340
3064	Peak expiratory flow (PEF)	0	0	0	11	0	0	0	1	1	0	litres/min	100020	0	2	0	2	0	2	Peak expiratory flow during blow	2012-01-05	2019-03-10	456969	1377292	410
3065	Ordering of blows	0	0	0	21	11	0	0	1	1	0		100020	23	2	0	2	0	2	Ordering of blows in dataset array; 1=earliest; 3=latest	2012-01-05	2019-03-10	456969	1377292	220
3066	Data points for blow	0	0	0	101	0	0	0	1	1	0		100020	0	2	0	2	0	2	This field contains a comma-separated series of values that can be used to draw the curve. <ul><li>The first field is the blow-number (i.e. the order of the blow in a set of blows done by the participant);</li> <li>The second field is the number of points in the dataset following;</li> <li>The third and subsequent points give the volume in mililitres of the exhalation at 10 milisecond intervals.</li> </ul>	2012-01-05	2019-03-10	456969	1377292	250
3077	Seating box height	0	0	0	21	11	0	0	1	0	0		100010	100262	2	0	2	0	0	The height of the box that participant sat on for sitting-height measurement ~F51~	2012-01-05	2019-03-10	497148	551193	8
3079	Pace-maker	0	0	0	21	11	0	0	1	0	0		100076	7	2	0	2	0	0	Participants asked by interviewer if they have a pace-maker before the body impedance measures. Impedance measurement was not performed if they had a pace-maker.	2012-01-05	2019-03-10	500860	555990	0
3081	Foot measured for bone density	0	0	0	21	11	0	0	0	0	0		100018	24	2	0	0	0	0	In the early UK Biobank Assessment Centres only one heel was used to measure bone density, and this field indicates which side it was. In the later assessments, the measurement was conducted on both heels.	2012-01-05	2012-01-06	321849	321849	2
3082	Fractured heel	0	0	0	21	11	0	0	0	0	0		100018	100267	2	0	0	0	0	This field indicates whether the heel used to measure bone density had ever been fractured.	2012-01-05	2012-01-06	321849	321849	1
3083	Heel quantitative ultrasound index (QUI), manual entry	0	0	0	31	0	0	0	0	0	0		100018	0	2	0	0	0	0	The quantitative ultrasound index or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation, entered manually	2012-01-05	2012-01-06	42732	42732	12
3084	Heel bone mineral density (BMD), manual entry	0	0	0	31	0	0	0	0	0	0	g/cm2	100018	0	2	0	0	0	0	Estimation of bone mineral density based on the Quantitative Ultrasound Index through the calcaneus. Manual entry.	2012-01-05	2012-01-06	42732	42732	13
3085	Heel Broadband ultrasound attenuation (BUA), manual entry	0	0	0	31	0	0	0	0	0	0		100018	0	2	0	0	0	0	Heel BUA (manual entry) dB/MHz	2012-01-05	2012-01-06	42732	42732	11
3086	Speed of sound through heel, manual entry	0	0	0	31	0	0	1	0	0	0	m/s	100018	0	2	0	0	0	0	Speed of sound through the heel. Manual entry.	2012-01-05	2012-01-06	42732	42732	10
3088	Contra-indications for spirometry	0	0	0	21	11	0	0	1	0	0		100020	100267	2	0	2	0	0	Contra-indications for spirometry are defined as any of the following: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; heart attack or surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; Pregnancy (1st or 3rd trimester); currently on medication for tuberculosis.	2012-01-05	2019-03-10	500854	555980	140
3089	Caffeine drink within last hour	0	0	0	21	11	0	0	1	0	0		100020	7	2	0	2	0	0	Participants were asked whether they had drank caffeine within the hour prior to doing the spirometry test	2012-01-05	2019-03-10	462383	510346	150
3090	Used an inhaler for chest within last hour	0	0	0	21	11	0	0	1	0	0		100020	7	2	0	2	0	0	Participants were asked whether they had used a chest inhaler within the hour prior to doing the spirometry test	2012-01-05	2019-03-10	462383	510346	160
3132	Spirometry device serial number	0	0	0	41	0	0	2	1	0	0		100020	0	2	0	2	0	0	The serial number of device, reported by the spirometry software	2012-01-05	2019-03-10	456969	503477	450
3137	Number of measurements made	0	0	0	11	0	0	0	1	0	0		100020	0	2	0	2	0	0	Number of sets of spirometry results collected from the device	2012-01-05	2019-03-10	456969	503477	190
3140	Pregnant	0	0	0	21	11	0	0	1	0	2		100074	100267	2	0	2	0	0	Participants asked by interviewer if they might be pregnant before the body impedance measures. Impedance measurement was not performed if they answered Yes or Possibly.	2012-01-05	2019-03-10	272580	300884	0
3143	Ankle spacing width	0	0	0	31	0	0	0	0	0	0	mm	100018	0	2	0	0	0	0	Ankle width as indicated by the spacing between measurement transducer pads on heel	2012-01-05	2012-01-06	279104	279104	5
3144	Heel Broadband ultrasound attenuation, direct entry	0	0	0	31	0	0	0	0	0	0	dB/MHz	100018	0	2	0	0	0	0	Broadband ultrasound attenuation through heel	2012-01-05	2012-01-06	279087	279087	6
3146	Speed of sound through heel	0	0	0	31	0	0	1	0	0	0	m/s	100018	0	2	0	0	0	0	Speed of sound through ankle<p>Typically 1450-1700 m/s	2012-01-05	2012-01-06	279104	279104	4
3147	Heel quantitative ultrasound index (QUI), direct entry	0	0	0	31	0	0	0	0	0	0		100018	0	2	0	0	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Direct entry.	2012-01-05	2012-01-06	279104	279104	7
3148	Heel bone mineral density (BMD)	0	0	0	31	0	0	0	0	0	0	g/cm2	100018	0	2	0	0	0	0	Estimation of bone mineral density (BMD) in the heel is based on the Quantitative Ultrasound Index through the calcaneus. Direct entry.	2012-01-05	2012-01-06	278964	278964	8
3159	Smoked cigarette or pipe within last hour	0	0	0	21	11	0	0	1	0	0		100020	7	2	0	2	0	0	Participants were asked whether they had smoked a cigarette or pipe within the hour prior to doing the spirometry test	2012-01-05	2019-03-10	68898	71170	170
3160	Weight, manual entry	0	0	0	31	0	0	0	1	0	0	Kg	100010	0	2	0	2	0	0	Weight (manual entry)	2012-01-05	2019-03-07	8289	8383	10
3166	Time blood sample collected	0	0	0	61	0	0	2	1	1	0		100002	0	2	0	2	0	6	This is the time when each blood sample was recorded on the computerised system by swiping the unique barcode on the collection tube. Generally it is a few seconds after the sample is actually extracted. <p> In about 36,000 cases a clock error on the collection system resulted in incorrect extraction times being saved. These values have been removed from the database.	2012-01-05	2019-03-10	498062	3400038	3
3393	Hearing aid user	0	0	0	21	11	0	0	1	0	0		100043	100352	2	0	2	0	0	ACE touchscreen question "Do you use a hearing aid most of the time?"<p> Initially this information was collected from all participants answering Yes to either ~F2247~ (~F10793~ in the pilot) or ~F2257~. When the speech-in-noise hearing test was introduced (2009), program logic was altered so that the information was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~.	2012-01-05	2019-03-10	327335	363339	4
3404	Neck/shoulder pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had neck or shoulder pains for more than 3 months?"<p>~F3404~ was collected from participants who indicated that in the last month they experienced neck or shoulder pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-10	122238	126633	4
3414	Hip pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had hip pains for more than 3 months?"<p>~F3414~ was collected from participants who indicated that in the last month they experienced hip pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-10	60265	62163	7
3426	Job involve night shift work	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	2	0	0	ACE touchscreen question "Does your work involve night shifts?" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you have more than one 'current job' then answer this question <br>for your MAIN job only. <br>Night shifts are a work schedule that involves working through the <br>normal sleeping hours, for instance working through the hours from <br>12am to 6am. <br></i></td></tr> </table> <p>~F3426~ was collected from participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~ and excepting those who indicated their work never or rarely involved a shift pattern, as defined by their answers to ~F6142~	2012-01-05	2019-03-10	51377	53511	10
3436	Age started smoking in current smokers	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you first started smoking on most days?" <p>The following checks were performed: <ul> <li>If answer < 5 then rejected</li> <li>If answer > Participants age then rejected</li> <li>If answer < 12 then participant asked to confirm</li> </ul> <p>~F3436~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	39470	40676	2990
3446	Type of tobacco currently smoked	0	0	0	21	11	0	0	1	0	0		100058	100351	2	0	2	0	0	ACE touchscreen question "What type of tobacco do you mainly smoke?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you smoke cigarettes and cigars and pipes, please select the<br>type of cigarette you smoke.<br>If you smoke both hand-rolled and manufactured cigarettes select<br>the one that you smoke more of.<br></i></td></tr></table><p>~F3446~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	39470	40676	3000
3456	Number of cigarettes currently smoked daily (current cigarette smokers)	0	0	0	11	0	0	0	1	0	0	cigarettes/day	100058	100355	2	0	2	0	0	ACE touchscreen question "About how many cigarettes do you smoke on average each day? "<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 150 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the total number of cigarettes (including both hand-rolled<br>and manufactured cigarettes if both are smoked)<br>For hand-rolled cigarettes:<br> - One ounce of tobacco makes about 30 cigarettes<br> - One gram of tobacco makes about 1 cigarette<br></i></td></tr></table><p>~F3456~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and currently smoke manufactured or hand-rolled cigarettes, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	36686	37777	3020
3466	Time from waking to first cigarette	0	0	0	21	11	0	0	1	0	0		100058	100356	2	0	2	0	0	ACE touchscreen question "How soon after waking do you smoke your first cigarette of the day?" <p>~F3466~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and currently smoke manufactured or hand-rolled cigarettes, as defined by their answers to ~F1239~ <p> Please note that the categories do not include a response for 15-30 minutes. This occurred due to an oversight during the design of the initial data collection process. However we have kept the response options the same during subsequent data collection exercises to maintain consistency for analytical purposes.	2012-01-05	2019-03-10	36339	37411	3050
3476	Difficulty not smoking for 1 day	0	0	0	21	11	0	0	1	0	0		100058	100357	2	0	2	0	0	ACE touchscreen question "How easy or difficult would you find it to go without smoking for a whole day?"<p>~F3476~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and currently smoke manufactured or hand-rolled cigarettes, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	36339	37411	3060
3486	Ever tried to stop smoking	0	0	0	21	11	0	0	1	0	0		100058	100358	2	0	2	0	0	ACE touchscreen question "Have you tried to give up smoking?"<p>~F3486~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	39470	40676	3070
3496	Wants to stop smoking	0	0	0	21	11	0	0	1	0	0		100058	100359	2	0	2	0	0	ACE touchscreen question "Do you want to stop smoking?"<p>~F3496~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	39089	40274	3080
3506	Smoking compared to 10 years previous	0	0	0	21	11	0	0	1	0	0		100058	100360	2	0	2	0	0	ACE touchscreen question "Compared to 10 years ago do you smoke..."<p>~F3506~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	39470	40676	3090
3526	Mother's age at death	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	2	0	0	ACE touchscreen question "What was her age when she died?"<p>The following checks were performed:<ul><li>If answer < 10 then rejected</li><li>If answer > 122 then rejected</li><li>If answer < 15 then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F3526~ was collected from participants who indicated their mother has died, as defined by their answers to ~F1835~ or, if they are adopted, their adopted mother has died, as defined by their answers to ~F1835~	2012-01-05	2019-03-10	306665	338505	15
3536	Age started hormone-replacement therapy (HRT)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you first used HRT?"<p>The following checks were performed:<ul><li>If answer < 16 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 65 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3536~ was collected from women who indicated that they had used HRT, as defined by their answers to ~F2814~	2012-01-05	2019-03-10	105260	114881	25
3546	Age last used hormone-replacement therapy (HRT)	0	0	0	11	0	0	0	1	0	2	years	100069	100598	2	0	2	0	0	ACE touchscreen question "How old were you when you last used HRT?"<p>The following checks were performed:<ul><li>If answer < 20 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 65 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are currently using HRT select Still taking HRT.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3546~ was collected from women who indicated that they had used HRT, as defined by their answers to ~F2814~	2012-01-05	2019-03-10	105260	114881	26
3571	Back pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had back pains for more than 3 months?"<p>~F3571~ was collected from participants who indicated that in the last month they experienced back pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-10	135757	141246	5
3581	Age at menopause (last menstrual period)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	2	0	0	ACE touchscreen question "How old were you when your periods stopped?"<p>The following checks were performed:<ul><li>If answer < Age at first period then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 70 then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 60 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3581~ was collected from women who indicated that their periods had stopped, as defined by their answers to ~F2724~	2012-01-05	2019-03-10	171225	187593	7
3591	Ever had hysterectomy (womb removed)	0	0	0	21	11	0	0	1	0	2		100069	100599	2	0	2	0	0	ACE touchscreen question "Have you had a hysterectomy (womb removed)?"<p>~F3591~ was collected from all women except those who indicated they have had a hysterectomy (womb removed), as defined by their answers to ~F2724~	2012-01-05	2019-03-10	242516	267281	27
3606	Chest pain or discomfort walking normally	0	0	0	21	11	0	0	1	0	0		100039	100563	2	0	2	0	0	ACE touchscreen question "Do you get this pain or discomfort when you walk at an ordinary pace on the level?"<p>~F3606~ was collected from participants who indicated that they get pain or discomfort in their chest, as defined by their answers to ~F2335~	2012-01-05	2019-03-10	84236	87282	2
3616	Chest pain due to walking ceases when standing still	0	0	0	21	11	0	0	1	0	0		100039	100349	2	0	2	0	0	ACE touchscreen question "Does this chest pain go away when you stand still?"<p>~F3616~ was collected from participants who indicated that they get pain or discomfort in their chest, as defined by their answers to ~F2335~ and either get this pain when they walk at an ordinary pace on the level, as defined by their answers to ~F3606~ or when they walk uphill or in a hurry, as defined by their answers to ~F3751~	2012-01-05	2019-03-10	33309	34138	3
3627	Age angina diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the angina was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3627~ was collected from participants who indicated they were told by a doctor that they have had an angina, as defined by their answers to ~F6150~	2012-01-05	2019-03-10	16603	17497	3
3637	Frequency of other exercises in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	2	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do other exercises such as swimming, cycling, keep fit?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3637~ was collected from all participants who indicated that they spent time doing other exercises (e.g. swimming, cycling, keep fit, bowling) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	243698	265870	0
3647	Duration of other exercises	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	2	0	0	ACE touchscreen question "Each time you did other exercises such as swimming, cycling, keep fit, about how long did you spend doing them?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3647~ was collected from all participants who indicated that they spent time doing other exercises (e.g. swimming, cycling, keep fit, bowling) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05	2019-03-10	243698	265870	0
3659	Year immigrated to UK (United Kingdom)	0	0	0	11	0	0	0	1	0	0		100065	100291	2	0	2	0	0	ACE touchscreen question "What year did you first come to live in the United Kingdom?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please give the year that you FIRST came to live in the United Kingdom.<br>Do not count years if you came to holiday or visit friends or family.<br></i></td></tr></table><p>~F3659~ was collected from participants who indicated they were born outside the United Kingdom, as defined by their answers to ~F1647~	2012-01-05	2016-11-03	44567	46090	1
3669	Lifetime number of same-sex sexual partners	0	0	0	11	0	0	0	1	0	0		100056	100291	2	0	2	0	0	ACE touchscreen question "How many sexual partners of the same sex have you had in your lifetime?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 99997 then rejected</li><li>If answer > 99 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3669~ was collected from participants those who indicated they had had sexual intercourse with someone of the same sex, as indicated by their answers to ~F2159~	2012-01-05	2019-03-10	16211	17863	5
3680	Age when last ate meat	0	0	0	11	0	0	0	1	0	0	years	100052	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you last ate any kind of meat? (Enter "0" if you have never eaten meat in your lifetime)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li></ul>	2012-01-05	2019-03-10	20896	23578	12
3700	Time since last menstrual period	0	0	0	11	0	0	0	1	0	2	days	100069	100291	2	0	2	0	0	ACE touchscreen question "How many days since your last menstrual period?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 365 then rejected</li><li>If answer > 60 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please count from the first day of your last menstrual period<br></i></td></tr></table><p>~F3700~ was collected from women who indicated that their periods had not stopped (menopause), as defined by their answers to ~F2724~	2012-01-05	2019-03-10	64164	66224	8
3710	Length of menstrual cycle	0	0	0	11	0	0	0	1	0	2	days	100069	100582	2	0	2	0	0	ACE touchscreen question "How many days is your usual menstrual cycle? (The number of days between each menstrual period)"<p>The following checks were performed:<ul><li>If answer < 7 then rejected</li><li>If answer > 365 then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 60 then participant asked to confirm</li></ul><p>~F3710~ was collected from women who indicated that their periods had not stopped (menopause), as defined by their answers to ~F2724~	2012-01-05	2019-03-10	64164	66224	9
3720	Menstruating today	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	2	0	0	ACE touchscreen question "Are you menstruating today? (We are asking this as it may affect the urine sample that you have been asked to provide)"<p>~F3720~ was collected from all women except those who indicated that their periods had stopped (menopause) or not sure (had a hysterectomy), as defined by their answers to ~F2724~	2012-01-05	2019-03-10	76459	79640	10
3731	Former alcohol drinker	0	0	0	21	11	0	0	1	0	0		100051	100352	2	0	2	0	0	ACE touchscreen question "Did you previously drink alcohol?"<p>~F3731~ was collected from participants who indicated they never drink alcohol, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	41901	44367	2
3741	Stomach/abdominal pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had stomach or abdominal pains for more than 3 months?"<p>~F3741~ was collected from participants who indicated that in the last month they experienced stomach or abdominal pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-10	45964	46946	6
3751	Chest pain or discomfort when walking uphill or hurrying	0	0	0	21	11	0	0	1	0	0		100039	100564	2	0	2	0	0	ACE touchscreen question "Do you get this pain or discomfort when you walk uphill or hurry?"<p>~F3751~ was collected from participants who indicated that they get pain or discomfort in their chest, as defined by their answers to ~F2335~ but they do not get this pain when they walk at an ordinary pace on the level, as defined by their answers to ~F2335~	2012-01-05	2019-03-10	68370	70693	4
3761	Age hay fever, rhinitis or eczema diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the hayfever, rhinitis or eczema was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3761~ was collected from participants who indicated they were told by a doctor that they have had hayfever, allergic rhinitis or eczema, as defined by their answers to ~F6152~	2012-01-05	2019-03-10	117634	128326	11
3773	Knee pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had knee pains for more than 3 months?"<p>~F3773~ was collected from participants who indicated that in the last month they experienced knee pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-10	114307	119012	8
3786	Age asthma diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the asthma was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3786~ was collected from participants who indicated they were told by a doctor that they have had asthma, as defined by their answers to ~F6152~	2012-01-05	2019-03-10	58849	63975	10
3799	Headaches for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had headaches for more than 3 months?"<p>~F3799~ was collected from participants who indicated that in the last month they experienced headache that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-10	105579	109614	2
3809	Time since last prostate specific antigen (PSA) test	0	0	0	11	0	0	0	1	0	1	years	100040	100569	2	0	2	0	0	ACE touchscreen question "How many years ago was your last test?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 15 years then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3809~ was collected from men who indicated that they have had a blood test for prostate cancer, as defined by their answers to ~F2365~	2012-01-05	2019-03-10	70543	77616	4
3829	Number of stillbirths	0	0	0	11	0	0	0	1	0	2		100069	100291	2	0	2	0	0	ACE touchscreen question "How many stillbirths? (enter 0 if none)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 15 then rejected</li><li>If answer > 5 then participant asked to confirm</li></ul><p>~F3829~ was collected from women who indicated that they had had a stillbirth, spontaneous miscarriage or termination, as defined by their answers to ~F2774~	2012-01-05	2019-03-10	87704	95890	17
3839	Number of spontaneous miscarriages	0	0	0	11	0	0	0	1	0	2		100069	100291	2	0	2	0	0	ACE touchscreen question "How many spontaneous miscarriages? (enter 0 if none)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 35 then rejected</li><li>If answer > 11 then participant asked to confirm</li></ul><p>~F3839~ was collected from women who indicated that they had had a stillbirth, spontaneous miscarriage or termination, as defined by their answers to ~F2774~	2012-01-05	2019-03-10	87704	95890	18
3849	Number of pregnancy terminations	0	0	0	11	0	0	0	1	0	2		100069	100291	2	0	2	0	0	ACE touchscreen question "How many terminations? (enter 0 if none)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 35 then rejected</li><li>If answer > 11 then participant asked to confirm</li></ul><p>~F3849~ was collected from women who indicated that they had had a stillbirth, spontaneous miscarriage or termination, as defined by their answers to ~F2774~	2012-01-05	2019-03-10	87704	95890	19
3859	Reason former drinker stopped drinking alcohol	0	0	0	21	11	0	0	1	0	0		100051	100418	2	0	2	0	0	ACE touchscreen question "Why did you stop drinking alcohol?"<p>~F3859~ was collected from participants who indicated that they currently never drink alcohol, as defined by their answers to ~F1558~ and they previously drank alcohol, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	18892	19790	19
3872	Age of primiparous women at birth of child	0	0	0	11	0	0	0	1	0	2	years	100069	100586	2	0	2	0	0	ACE touchscreen question "How old were you when you had your child?"<p>The following checks were performed:<ul><li>If answer < 8 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 65 then rejected</li><li>If answer < Age at first period then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 48 then participant asked to confirm</li><li>If answer > Age when periods stopped then participant asked to confirm</li></ul><p>~F3872~ was collected from women who indicated they had given birth to only one child, as defined by their answers to ~F2734~	2012-01-05	2019-03-10	36510	40145	13
3882	Age at bilateral oophorectomy (both ovaries removed)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you had BOTH ovaries removed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>~F3882~ was collected from women who indicated that they had had both ovaries removed, as defined by their answers to ~F2834~	2012-01-05	2019-03-10	22314	24334	30
3894	Age heart attack diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the heart attack was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3894~ was collected from participants who indicated they were told by a doctor that they have had a heart attack, as defined by their answers to ~F6150~	2012-01-05	2019-03-10	12039	12813	2
3912	Adopted father still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	2	0	0	ACE touchscreen question "Is your ADOPTED father still alive?"<p>~F3912~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	7388	8053	2
3942	Adopted mother still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	2	0	0	ACE touchscreen question "Is your ADOPTED mother still alive?"<p>~F3942~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	7388	8053	13
3972	Number of adopted brothers	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	2	0	0	ACE touchscreen question "How many ADOPTED brothers do you have? (Please include those who have died)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F3972~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	7388	8053	24
3982	Number of adopted sisters	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	2	0	0	ACE touchscreen question "How many ADOPTED sisters do you have? (Please include those who have died)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F3982~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	7388	8053	26
3992	Age emphysema/chronic bronchitis diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the emphysema/chronic bronchitis was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3992~ was collected from participants who indicated they were told by a doctor that they have had emphysema or chronic bronchitis, as defined by their answers to ~F6152~	2012-01-05	2019-03-10	8707	8949	9
4012	Age deep-vein thrombosis (DVT, blood clot in leg) diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the blood clot in the leg (DVT) was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4012~ was collected from participants who indicated they were told by a doctor that they have had a Blood clot in the leg (DVT) , as defined by their answers to ~F6152~	2012-01-05	2019-03-10	10327	10914	7
4022	Age pulmonary embolism (blood clot in lung) diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the blood clot in the lung was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4022~ was collected from participants who indicated they were told by a doctor that they have had a blood clot in the lung , as defined by their answers to ~F6152~	2012-01-05	2019-03-10	4288	4551	8
4041	Gestational diabetes only	0	0	0	21	11	0	0	1	0	2		100044	100617	2	0	2	0	0	ACE touchscreen question "Did you only have diabetes during pregnancy?"<p>~F4041~ was collected from women who indicated that a doctor had told them they had diabetes, as defined by their answers to ~F2443~	2012-01-05	2019-03-07	10779	11417	13
4056	Age stroke diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the stroke was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4056~ was collected from participants who indicated they were told by a doctor that they have had a stroke, as defined by their answers to ~F6150~	2012-01-05	2019-03-10	8047	8450	4
4067	Facial pains for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	2	0	0	ACE touchscreen question "Have you had facial pains for more than 3 months?"<p>~F4067~ was collected from participants who indicated that in the last month they experienced facial pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05	2019-03-07	9811	9985	3
4079	Diastolic blood pressure, automated reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	2	0	1	Blood pressure, automated reading, diastolic. Two measures of blood pressure were taken a few moments apart. <p>Range returned by the Omron device is is 0-255	2012-01-05	2019-03-10	474273	1026529	0
4080	Systolic blood pressure, automated reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	2	0	1	Blood pressure, automated reading, systolic. Two measures of blood pressure were taken a few moments apart. <p> Range returned by the Omron device is is 0-255	2012-01-05	2019-03-10	474268	1026503	0
4081	Method of measuring blood pressure	0	0	0	21	11	0	2	1	1	0		100011	100259	2	0	2	0	1	Blood pressure, method of collecting reading	2012-01-05	2019-03-10	501685	1108561	0
4092	Heel ultrasound method (left)	0	0	0	21	11	0	0	1	0	0		100018	100260	2	0	2	0	0	Method used for the Ultrasound Bone Densitometry of left heel	2012-01-05	2019-03-10	205319	227450	16
4093	Fractured heel (left)	0	0	0	21	11	0	0	1	0	0		100018	27	2	0	2	0	0	This field indicates whether the left heel had ever been fractured.	2012-01-05	2019-03-10	197939	218729	15
4095	Heel ultrasound method (right)	0	0	0	21	11	0	0	1	0	0		100018	100260	2	0	2	0	0	Method used for the Ultrasound Bone Densitometry of right heel	2012-01-05	2019-03-10	205319	227450	16.5
4096	Fractured heel (right)	0	0	0	21	11	0	0	1	0	0		100018	27	2	0	2	0	0	This field indicates whether the right heel had ever been fractured.	2012-01-05	2019-03-10	198178	219124	15.5
4100	Ankle spacing width (left)	0	0	0	31	0	0	0	1	0	0	mm	100018	0	2	0	2	0	0	Left ankle width as indicated by the spacing between measurement transducer pads on heel	2012-01-05	2019-03-10	194246	214125	17
4101	Heel broadband ultrasound attenuation (left)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	2	0	0	Broadband ultrasound attenuation through left heel	2012-01-05	2019-03-10	194236	214115	19
4103	Speed of sound through heel (left)	0	0	0	31	0	0	1	1	0	0	m/s	100018	0	2	0	2	0	0	Speed of sound through left ankle<p>Typically 1450-1700 m/s	2012-01-05	2019-03-10	194246	214125	18
4104	Heel quantitative ultrasound index (QUI), direct entry (left)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	2	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Direct entry.	2012-01-05	2019-03-10	194246	214125	20
4105	Heel bone mineral density (BMD) (left)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	2	0	0	Estimation of bone mineral density (BMD) in the left heel is based on the Quantitative Ultrasound Index through the calcaneus. Direct entry.	2012-01-05	2019-03-10	194124	213980	21
4106	Heel bone mineral density (BMD) T-score, automated (left)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	2	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05	2019-03-10	194246	214125	22
4119	Ankle spacing width (right)	0	0	0	31	0	0	0	1	0	0	mm	100018	0	2	0	2	0	0	Right ankle width as indicated by the spacing between measurement transducer pads on heel	2012-01-05	2019-03-10	194397	214433	17.5
4120	Heel broadband ultrasound attenuation (right)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	2	0	0	Broadband ultrasound attenuation through right heel	2012-01-05	2019-03-10	194385	214419	19.5
4122	Speed of sound through heel (right)	0	0	0	31	0	0	1	1	0	0	m/s	100018	0	2	0	2	0	0	Speed of sound through right ankle, m/s<p>Typically 1450-1700 m/s	2012-01-05	2019-03-10	194397	214433	18.5
4123	Heel quantitative ultrasound index (QUI), direct entry (right)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	2	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Direct entry.	2012-01-05	2019-03-10	194397	214433	20.5
4124	Heel bone mineral density (BMD) (right)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	2	0	0	Estimation of bone mineral density (BMD) in the left heel is based on the Quantitative Ultrasound Index through the calcaneus. Direct entry.	2012-01-05	2019-03-10	194267	214285	21.5
4125	Heel bone mineral density (BMD) T-score, automated (right)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	2	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05	2019-03-10	194397	214433	22.5
4136	Arterial pulse-wave stiffness device ID	0	0	0	41	0	0	2	1	0	0		100007	0	2	0	2	0	0	Stiffness device ID	2012-01-05	2019-03-10	205319	227450	0
4138	Heel bone mineral density (BMD) T-score, manual entry (left)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	2	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05	2019-03-10	4582	4587	27
4139	Heel quantitative ultrasound index (QUI), manual entry (left)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	2	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Manual entry.	2012-01-05	2019-03-10	4582	4587	25
4140	Heel bone mineral density (BMD), manual entry (left)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	2	0	0	Estimation of bone mineral density (BMD) in the left heel is based on the Quantitative Ultrasound Index through the calcaneus. Manual entry.	2012-01-05	2019-03-10	4582	4587	26
4141	Heel broadband ultrasound attenuation (BUA), manual entry (left)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	2	0	0	Left heel BUA (manual entry)	2012-01-05	2019-03-10	4582	4587	24
4142	Speed of sound through heel, manual entry (left)	0	0	0	31	0	0	1	1	0	0	m/s	100018	0	2	0	2	0	0	Speed of sound through left ankle <p> Typically 1450-1700 m/s	2012-01-05	2019-03-10	4582	4587	23
4143	Heel bone mineral density (BMD) T-score, manual entry (right)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	2	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05	2019-03-10	4672	4679	27.5
4144	Heel quantitative ultrasound index (QUI), manual entry (right)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	2	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Manual entry.	2012-01-05	2019-03-10	4672	4679	25.5
4145	Heel bone mineral density (BMD), manual entry (right)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	2	0	0	Estimation of bone mineral density (BMD) in the right heel is based on the Quantitative Ultrasound Index through the calcaneus. Manual entry.	2012-01-05	2019-03-10	4672	4679	26.5
4146	Heel broadband ultrasound attenuation (BUA), manual entry (right)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	2	0	0	Right heel BUA (manual entry)	2012-01-05	2019-03-10	4672	4679	24.5
4147	Speed of sound through heel, manual entry (right)	0	0	0	31	0	0	1	1	0	0	m/s	100018	0	2	0	2	0	0	Speed of sound through right ankle <p> Typically 1450-1700 m/s	2012-01-05	2019-03-10	4672	4679	23.5
4186	Stiffness method	0	0	0	21	11	0	0	1	0	0		100007	100263	2	0	2	0	0	Stiffness method described whether the measure was perfomed, and if so, whether the data was entered into the machine directly or manually.	2012-01-05	2019-03-10	204246	225741	0
4194	Pulse rate	0	0	0	11	0	0	0	1	0	0	bpm	100007	0	2	0	2	0	0	Pulse rate during arterial stiffness measurement	2012-01-05	2019-03-10	201468	222276	0
4195	Pulse wave reflection index	0	0	0	11	0	0	0	1	0	0		100007	0	2	0	2	0	0	reflection index is a measure of reflection<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. if 'b' is the height of direct wave peak and 'a' is the height of reflected wave peak the reflected index = (a/b) * 100%	2012-01-05	2019-03-10	201468	222276	0
4196	Pulse wave peak to peak time	0	0	0	11	0	0	0	1	0	0	milliseconds	100007	0	2	0	2	0	0	peak to peak time in milliseconds<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. peak to peak time is the difference between the peak values of direct and reflected components.	2012-01-05	2019-03-10	201362	222143	0
4198	Position of the pulse wave peak	0	0	0	11	0	0	2	1	0	0		100007	0	2	0	2	0	0	position of the peak<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. This field is the time when the peak occurs in the waveform.	2012-01-05	2019-03-10	201468	222276	0
4199	Position of pulse wave notch	0	0	0	11	0	0	2	1	0	0		100007	0	2	0	2	0	0	position of the notch<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. This is the time when when notch occurs in the waveform.	2012-01-05	2019-03-10	201468	222276	0
4200	Position of the shoulder on the pulse waveform	0	0	0	11	0	0	2	1	0	0		100007	0	2	0	2	0	0	position of the shoulder on the waveform<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. This field is the time of the shoulder like curve in the waveform.	2012-01-05	2019-03-10	201468	222276	0
4204	Absence of notch position in the pulse waveform	0	0	0	21	11	0	2	1	0	0		100007	12	2	0	2	0	0	Has value true if there is no notch position in the waveform	2012-01-05	2019-03-10	201468	222276	0
4205	Pulse wave pressure versus time response curve	0	0	0	101	0	0	0	1	0	0		100007	0	2	0	2	0	0	Wave data containing 3 waveforms, each consisting of one direct and one reflected component.<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. Each waveform is actually a single pulse with 100 points. Since the heart rate is in beats per minute, a single beat takes 60seconds / Heart Rate and time between two beats is (60/Heart Rate)/100.<p>The data is formatted as follows:<ul><li>The first number (i.e. digits before the first '|' character)indicate the number of points X,Y for the curve.</li><li>Each pair of X,Y values is separated by a '|' character from the preceding/succeeding pair.</li><li>Each pair of X,Y values is separated internally by a ',' character.</ul>The X-axis is the time in milliseconds and the Y-axis is the Pulse signal strength in arbitrary units.	2012-01-05	2019-03-10	201468	222276	0
4206	Arterial stiffness device ID	0	0	0	41	0	0	2	1	0	0		100007	0	2	0	2	0	0	UKB ID number of the instrument that was used to perform stiffness test.	2012-01-05	2019-03-10	204246	225741	0
4207	Pulse wave velocity (manual entry)	0	0	0	31	0	0	0	1	0	0	m/s	100007	0	2	0	2	0	0	Velocity (manual entry)	2012-01-05	2019-03-10	236	236	0
4229	Triplet played (left)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the triplet played in each round of the hearing test (left ear)	2012-01-05	2019-03-10	199292	3268174	0
4230	Signal-to-noise-ratio (SNR) of triplet (left)	0	0	0	11	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the signal-to-noise ratio for each round (left ear)	2012-01-05	2019-03-10	199292	3268174	0
4232	Triplet correct (left)	0	0	0	21	11	0	0	1	1	0		100049	29	2	0	2	1	15	This denotes whether the triplet in each round was correctly heard and entered by the participant (left ear)	2012-01-05	2019-03-10	198872	3265413	0
4233	Mean signal-to-noise ratio (SNR), (left)	0	0	0	31	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the mean signal-to-noise ratio for rounds 8 onwards (left ear). The triplets played in rounds 1-5 represent the 'hunting phase' where the SNR change is 2 levels (equivalent to 4 dB) harder following a correct response and 2 levels easier following a wrong response, as opposed to a change of 1 level (2 dB) in rounds 8 to 15. Value is stored as -99999 for rounds 1-7.	2012-01-05	2019-03-10	198872	3265413	0
4234	Time to press first digit (left)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	2	1	15	This is the time taken to press the first digit on the touchscreen in each round (left ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05	2019-03-10	198872	3265413	0
4235	Time to press last digit (left)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	2	1	15	This is the time taken to press the last digit on the touchscreen in each round (left ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05	2019-03-10	198872	3265413	0
4236	Triplet entered (left)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the triplet entered by the participant for each round (left ear).	2012-01-05	2019-03-10	198872	3265413	0
4237	Time to press 'next' (left)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	17	2	0	2	1	15	This is the time taken to press the 'next' key on the touchscreen in each round since the triplet played (left ear). This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly we possible.	2012-01-05	2019-03-10	198872	3265413	0
4238	Keystroke history (left)	0	0	0	41	0	0	2	1	1	0		100049	0	2	0	2	1	15	This is the keystroke history for the hearing test (left ear)	2012-01-05	2019-03-10	199292	3268174	0
4239	Number of times 'clear' was pressed (left)	0	0	0	11	0	0	2	1	1	0		100049	0	2	0	2	1	15	This is the number of times the 'clear' key was pressed to reset the triplet entry during the hearing test for the left ear.	2012-01-05	2019-03-10	199292	3268174	0
4240	Triplet played (right)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the triplet played in each round of the hearing test (right ear)	2012-01-05	2019-03-10	199365	3268920	0.5
4241	Signal-to-noise-ratio (SNR) of triplet (right)	0	0	0	11	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the signal-to-noise ratio for each round (right ear)	2012-01-05	2019-03-10	199365	3268920	0.5
4242	Triplet entered (right)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the triplet entered by the participant for each round (right ear).	2012-01-05	2019-03-10	198951	3266180	0.5
4243	Triplet correct (right)	0	0	0	21	11	0	0	1	1	0		100049	29	2	0	2	1	15	This denotes whether the triplet in each round was correctly heard and entered by the participant (right ear)	2012-01-05	2019-03-10	198951	3266180	0.5
4244	Mean signal-to-noise ratio (SNR), (right)	0	0	0	31	0	0	0	1	1	0		100049	0	2	0	2	1	15	This is the mean signal-to-noise ratio for rounds 8 onwards (right ear). The triplets played in rounds 1-5 represent the 'hunting phase' where the SNR change is 2 levels (equivalent to 4 dB) harder following a correct response and 2 levels easier following a wrong response, as opposed to a change of 1 level (2 dB) in rounds 8 to 15. Value is stored as -99999 for rounds 1-7.	2012-01-05	2019-03-10	198951	3266180	0.5
4245	Time to press first digit (right)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	2	1	15	This is the time taken to press the first digit on the touchscreen in each round (right ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05	2019-03-10	198951	3266180	0.5
4246	Time to press last digit (right)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	2	1	15	This is the time taken to press the last digit on the touchscreen in each round (right ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05	2019-03-10	198951	3266180	0.5
4247	Time to press 'next' (right)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	17	2	0	2	1	15	This is the time taken to press the 'next' key on the touchscreen in each round since the triplet played (right ear). This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly we possible.	2012-01-05	2019-03-10	198951	3266180	0.5
4248	Keystroke history (right)	0	0	0	41	0	0	2	1	1	0		100049	0	2	0	2	1	15	This is the keystroke history for the hearing test (right ear)	2012-01-05	2019-03-10	199365	3268920	0.5
4249	Number of times 'clear' was pressed (right)	0	0	0	11	0	0	2	1	1	0		100049	0	2	0	2	1	15	This is the number of times the 'clear' key was pressed to reset the triplet entry during the hearing test for the right ear.	2012-01-05	2019-03-10	199365	3268920	0.5
4250	Number of digits to be memorised/recalled	0	0	0	11	0	0	2	1	1	0		100029	0	2	0	2	0	15	This is the length of the number shown to the participant. The length was capped at 12 digits.	2012-01-05	2019-03-10	70683	596557	4
4251	Target number to be memorised	0	0	0	41	0	0	2	1	1	0		100029	0	2	0	2	0	15	The number displayed to the participant.	2012-01-05	2019-03-10	70679	596551	5
4252	Target number to be entered	0	0	0	41	0	0	2	1	1	0	milliseconds	100029	0	2	0	2	0	15	This is the number the participant was expected to enter - the reverse of ~F4251~	2012-01-05	2019-03-10	70679	596551	6
4253	Time number displayed for	0	0	0	11	0	0	2	1	1	0	milliseconds	100029	0	2	0	2	0	15	The time the number to be memorised was visible to the participant.	2012-01-05	2019-03-10	70679	596551	8
4254	Time first key touched	0	0	0	11	0	0	2	1	1	0	milliseconds	100029	0	2	0	2	0	15	When the participant touched the first key while entering a remembered number.	2012-01-05	2019-03-10	70666	596474	11
4255	Time last key touched	0	0	0	11	0	0	2	1	1	0	milliseconds	100029	0	2	0	2	0	15	When the participant touched the last key while entering a remembered number.	2012-01-05	2019-03-10	70666	596474	12
4256	Time elapsed	0	0	0	11	0	0	1	1	1	0	milliseconds	100029	0	2	0	2	0	15	This is the time the participant had been using the touchscreen before beginning the numeric memory test.	2012-01-05	2019-03-10	70666	596474	13
4257	Keystroke history	0	0	0	41	0	0	2	1	1	0		100029	0	2	0	2	0	15	This records the actual keys touched by the participant while entering a number, including edits/deletions.	2012-01-05	2019-03-10	70683	596557	14
4258	Number entered by participant	0	0	0	41	0	0	0	1	1	0		100029	0	2	0	2	0	15	This is the number entered by participant in each round.	2012-01-05	2019-03-10	70666	596474	7
4259	Digits entered correctly	0	0	0	21	11	0	0	1	1	0		100029	29	2	0	2	0	15	Indicates whether the participant correctly entered all the digits in reverse order. This is true if ~F4252~ is equal to ~F4258~	2012-01-05	2019-03-10	70666	596474	9
4260	Round of numeric memory test	0	0	0	11	0	0	0	1	1	0		100029	0	2	0	2	0	15	Indicates which round of the numeric memory test the associated results belong to.	2012-01-05	2019-03-10	70683	596557	3
4268	Completion status (left)	0	0	0	21	11	0	0	1	0	0		100049	30	2	0	2	0	0	This denotes whether the hearing test was not-started, abandoned or completed (left ear).	2012-01-05	2019-03-10	200986	222761	0
4269	Number of triplets attempted (left)	0	0	0	11	0	0	0	1	0	0		100049	0	2	0	2	0	0	This is the number of triplet rounds attempted (0-15), for the left ear.	2012-01-05	2019-03-10	200986	222761	0
4270	Volume level set by participant (left)	0	0	0	21	11	0	0	1	0	0		100049	15	2	0	2	0	0	Volume level set by participant for left ear as a percentage of the maximum volume. Note that these value do not have some absolute correspondence to a dB scale as the maximum volume could vary between pieces of equipment and the choice might have been influenced by the level of background noise in the touchscreen area.	2012-01-05	2019-03-10	199292	220858	0
4272	Duration of hearing test (left)	0	0	0	11	0	0	2	1	0	0	deciseconds	100049	0	2	0	2	0	0	This is the total duration of the hearing test for the left ear. This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly as possible.	2012-01-05	2019-03-10	200986	222761	0
4275	Completion status (right)	0	0	0	21	11	0	0	1	0	0		100049	30	2	0	2	0	0	This denotes whether the hearing test was not-started, abandoned or completed (right ear).	2012-01-05	2019-03-10	201116	222912	0.5
4276	Number of triplets attempted (right)	0	0	0	11	0	0	0	1	0	0		100049	0	2	0	2	0	0	This is the number of triplet rounds attempted (0-15), for the right ear.	2012-01-05	2019-03-10	201116	222912	0.5
4277	Volume level set by participant (right)	0	0	0	21	11	0	0	1	0	0		100049	15	2	0	2	0	0	Volume level set by participant for right ear as a percentage of the maximum volume. Note that these value do not have some absolute correspondence to a dB scale as the maximum volume could vary between pieces of equipment and the choice might have been influenced by the level of background noise in the touchscreen area.	2012-01-05	2019-03-10	199365	220934	0.5
4279	Duration of hearing test (right)	0	0	0	11	0	0	2	1	0	0		100049	0	2	0	2	0	0	This is the total duration of the hearing test for the left ear. This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly as possible.	2012-01-05	2019-03-10	201116	222912	0.5
4281	Completion status of numeric memory test	0	0	0	21	11	0	0	1	0	0		100029	31	2	0	2	0	0	Completion status of numeric memory test	2012-01-05	2019-03-10	70864	73290	1
4282	Maximum digits remembered correctly	0	0	0	11	0	0	0	1	0	0		100029	100696	2	0	2	0	0	Longest number correctly recalled during the numeric memory test. A value of -1 is recorded if the participant chose to abandon the test before completing the first round.	2012-01-05	2019-03-10	70864	73290	10
4283	Number of rounds of numeric memory test performed	0	0	0	11	0	0	0	1	0	0	rounds	100029	0	2	0	2	0	0	Number of rounds of numeric memory test performed	2012-01-05	2019-03-10	70864	73290	2
4285	Time to complete test	0	0	0	11	0	0	2	1	0	0	deciseconds	100029	0	2	0	2	0	0	Total time use by numeric memory test from first to last rounds.	2012-01-05	2019-03-10	70864	73290	15
4286	Time when initial screen shown	0	0	0	61	0	0	0	1	0	0		100031	0	2	0	2	0	0		2012-01-05	2019-03-10	203821	225023	8
4287	Test completion status	0	0	0	21	11	0	0	1	0	0		100031	32	2	0	2	0	0		2012-01-05	2019-03-10	203821	225023	1
4288	Time to answer	0	0	0	11	0	0	0	1	0	0	seconds	100031	0	2	0	2	0	0	Time between completing initial prompt and displaying answer	2012-01-05	2019-03-10	203821	225023	9
4289	Time screen exited	0	0	0	61	0	0	0	1	0	0		100031	0	2	0	2	0	0		2012-01-05	2019-03-10	203821	225023	10
4290	Duration screen displayed	0	0	0	11	0	0	0	1	0	0	deciseconds	100031	0	2	0	2	0	0	Time for which screen was visible.	2012-01-05	2019-03-10	203821	225023	7
4291	Number of attempts	0	0	0	11	0	0	0	1	0	0		100031	0	2	0	2	0	0		2012-01-05	2019-03-10	203821	225022	5
4292	PM: initial answer	0	0	0	21	11	0	0	1	0	0		100031	16	2	0	2	0	0	Participants were allowed up to 2 attempts to correctly recall the colour/shape shown to them earlier in the touchscreen section. This is the first answer they gave.	2012-01-05	2019-03-10	203821	225023	2
4293	PM: final answer	0	0	0	21	11	0	0	1	0	0		100031	16	2	0	2	0	0	Participants were allowed up to 2 attempts to correctly recall the colour/shape shown to them earlier in the touchscreen section. This is the final answer they gave - whether it is their first or second attempt can be gauged from ~F4291~.	2012-01-05	2019-03-10	203821	225023	3
4294	Final attempt correct	0	0	0	21	11	0	0	1	0	0		100031	29	2	0	2	0	0	True if final answer given was correct.	2012-01-05	2019-03-10	203821	225023	4
4295	History of attempts	0	0	0	41	0	0	0	1	0	0		100031	0	2	0	2	0	0	Records the history of attempts the user made at answering.	2012-01-05	2019-03-10	203821	225023	6
4407	Average monthly red wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average MONTH, how many glasses of RED wine would you drink?  (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling red wine here.<br></i></td></tr></table><p>~F4407~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	49617	52993	3
4418	Average monthly champagne plus white wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average MONTH, how many glasses of WHITE wine or champagne would you drink?  (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling white wine here.<br></i></td></tr></table><p>~F4418~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	49617	52993	4
4429	Average monthly beer plus cider intake	0	0	0	11	0	0	0	1	0	0	pints	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average MONTH, how many pints of beer or cider would you drink? (Include bitter, lager, stout, ale, Guinness)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F4429~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answer to ~F1558~	2012-01-05	2019-03-10	49617	52993	5
4440	Average monthly spirits intake	0	0	0	11	0	0	0	1	0	0	measures	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average MONTH, how many measures of spirits or liqueurs would you drink? (there are 25 standard measures in a normal sized bottle;  spirits include drinks such as whisky, gin, rum, vodka, brandy)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F4440~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	49617	52993	6
4451	Average monthly fortified wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average MONTH, how many glasses of fortified wine would you drink? (There are 12 glasses in an average bottle) (Fortified wines include drinks such as sherry, port, vermouth)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Fortified wines include: Sherry, Port, Vermouth, Muscat,<br>Madeira, Malaga, Tokay, Frontignan, Frontignac.<br></i></td></tr></table><p>~F4451~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	49617	52993	7
4462	Average monthly intake of other alcoholic drinks	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average MONTH, how many glasses of other alcoholic drinks (such as alcopops) would you drink?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li></ul><p>~F4462~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	49617	52993	8
4501	Non-accidental death in close genetic family	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	2	0	0	ACE touchscreen question "Have any of your mother, father, brothers or sisters died suddenly from a non-accidental cause? (Do not include half-, step- or adopted brothers and sisters)"	2012-01-05	2019-03-10	202965	224814	33
4526	Happiness	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	2	0	0	ACE touchscreen question "In general how happy are you?"	2012-01-05	2019-03-10	206161	228411	14
4537	Work/job satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100479	2	0	2	0	0	ACE touchscreen question "In general how satisfied are you with the WORK that you do?"	2012-01-05	2019-03-10	206161	228411	15
4548	Health satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	2	0	0	ACE touchscreen question "In general how satisfied are you with your HEALTH?"	2012-01-05	2019-03-10	206161	228411	16
4559	Family relationship satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	2	0	0	ACE touchscreen question "In general how satisfied are you with your FAMILY RELATIONSHIPS?"	2012-01-05	2019-03-10	206161	228411	17
4570	Friendships satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	2	0	0	ACE touchscreen question "In general how satisfied are you with your FRIENDSHIPS?"	2012-01-05	2019-03-10	206161	228411	18
4581	Financial situation satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	2	0	0	ACE touchscreen question "In general how satisfied are you with your FINANCIAL SITUATION?"	2012-01-05	2019-03-10	206161	228411	19
4598	Ever depressed for a whole week	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Looking back over your life, have you ever had a time when you were feeling depressed or down for at least a whole week?"	2012-01-05	2019-03-10	206161	228411	26
4609	Longest period of depression	0	0	0	11	0	0	0	1	0	0	weeks	100060	100291	2	0	2	0	0	ACE touchscreen question "How many weeks was the longest period when you were feeling depressed or down?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 999 then rejected</li></ul><p>~F4609~ was collected from participants who indicated they have felt depressed or down for at least a whole week, as defined by their answers to ~F4598~	2012-01-05	2019-03-10	108306	117362	27
4620	Number of depression episodes	0	0	0	11	0	0	0	1	0	0	periods	100060	100291	2	0	2	0	0	ACE touchscreen question "How many periods have you had when you were feeling depressed or down for at least a whole week?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 9999 then rejected</li></ul><p>~F4620~ was collected from participants who indicated they have felt depressed or down for at least a whole week, as defined by their answers to ~F4598~	2012-01-05	2019-03-10	108306	117362	28
4631	Ever unenthusiastic/disinterested for a whole week	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had a time when you were uninterested in things or unable to enjoy the things you used to for at least a whole week? "	2012-01-05	2019-03-10	206161	228411	29
4642	Ever manic/hyper for 2 days	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had a period of time lasting at least two days when you were feeling so good, "high", excited or "hyper" that other people thought you were not your normal self or you were so "hyper" that you got into trouble?"	2012-01-05	2019-03-10	206161	228411	32
4653	Ever highly irritable/argumentative for 2 days	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had a period of time lasting at least two days when you were so irritable that you found yourself shouting at people or starting fights or arguments?"	2012-01-05	2019-03-10	206161	228411	33
4674	Private healthcare	0	0	0	21	11	0	0	1	0	0		100067	100511	2	0	2	0	0	ACE touchscreen question "Do you use private healthcare?"	2012-01-05	2019-03-10	206161	228411	2
4689	Age glaucoma diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	2	0	0	ACE touchscreen question "What was your age when glaucoma was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4689~ was collected from participants who indicated they have glaucoma, as defined by their answers to ~F6148~	2012-01-05	2019-03-10	3952	4231	20
4700	Age cataract diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	2	0	0	ACE touchscreen question "What was your age when a cataract was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4700~ was collected from participants who indicated they have cataract, as defined by their answers to ~F6148~	2012-01-05	2019-03-10	12875	13652	22
4717	Shortness of breath walking on level ground	0	0	0	21	11	0	0	1	0	0		100037	100349	2	0	2	0	0	ACE touchscreen question "Do you get short of breath walking with people of your own age on level ground?"	2012-01-05	2019-03-10	206161	228411	2
4728	Leg pain on walking	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	2	0	0	ACE touchscreen question "Do you get a pain in either leg on walking?"	2012-01-05	2019-03-10	206161	228411	1
4792	Cochlear implant	0	0	0	21	11	0	0	1	0	0		100043	100352	2	0	2	0	0	ACE touchscreen question "Do you have a cochlear implant?"<p>~F4792~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05	2019-03-10	206023	228270	5
4803	Tinnitus	0	0	0	21	11	0	0	1	0	0		100043	100635	2	0	2	0	0	ACE touchscreen question "Do you get or have you had noises (such as ringing or buzzing) in your head or in one or both ears that lasts for more than  five minutes at a time?"<p>~F4803~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05	2019-03-10	206023	228270	6
4814	Tinnitus severity/nuisance	0	0	0	21	11	0	0	1	0	0		100043	100636	2	0	2	0	0	ACE touchscreen question "How much do these noises worry, annoy or upset you when they are at their worst?"<p>~F4814~ was collected from participants who hear or heard noises (such as ringing or buzzing) in their head or in one or both ears that last for more than five minutes at a time, as defined by their answers to ~F4803~ and except those who indicated they were completely deaf, as defined by their answers to ~F4803~	2012-01-05	2019-03-10	61367	66234	7
4825	Noisy workplace	0	0	0	21	11	0	0	1	0	0		100043	100637	2	0	2	0	0	ACE touchscreen question "Have you ever worked in a noisy place where you had to shout to be heard?"<p>~F4825~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05	2019-03-10	206023	228270	8
4836	Loud music exposure frequency	0	0	0	21	11	0	0	1	0	0		100043	100637	2	0	2	0	0	ACE touchscreen question "Have you ever listened to music for more than 3 hours per week at a volume which you would need to shout to be heard or, if wearing headphones, someone else would need to shout for you to hear them?"<p>~F4836~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05	2019-03-10	206023	228270	9
4849	Hearing test done	0	0	0	21	11	0	0	1	0	0		100049	100640	2	0	2	0	0	ACE touchscreen question "We would now like to measure your hearing using the headphones provided. Are you happy to do this?  (If you are wearing a hearing aid, please remove it before putting the headphones on.  If you cannot find the headphones, or need assistance putting them on, then please ask a member of staff.)"	2012-01-05	2019-03-10	205250	227442	0
4924	Attempted fluid intelligence (FI) test.	0	0	0	21	11	0	0	1	0	0		100027	100642	2	0	2	0	0	ACE touchscreen question "In this next game you will have two minutes to do as many puzzle questions as possible. Don't spend too long on any one puzzle - you can skip any puzzle if you wish.". Participants were offered the chance to skip the Fluid Intelligence test at this point.	2012-01-05	2019-03-10	200449	221401	1
4935	FI1 : numeric addition test	0	0	0	21	11	0	0	1	0	0		100027	100643	2	0	2	0	0	ACE touchscreen question "Add the following numbers together: 1 2 3 4 5 - is the answer?". Part 1 of Fluid Intelligence test. <p>Asked to choose from 13, 14, 15, 16 or 17.	2012-01-05	2019-03-10	197303	218072	2
4946	FI2 : identify largest number	0	0	0	21	11	0	0	1	0	0		100027	100644	2	0	2	0	0	ACE touchscreen question "Which number is the largest?". Part 2 of Fluid Intelligence test.<p> Asked to choose from 642, 308, 987, 714 and 253.	2012-01-05	2019-03-10	196867	217604	3
4957	FI3 : word interpolation	0	0	0	21	11	0	0	1	0	0		100027	100645	2	0	2	0	0	ACE touchscreen question "Bud is to Flower as Child is to?". Part 3 of Fluid Intelligence test.<p>Offered choice from Grow, Develop, Improve, Adult and Old.	2012-01-05	2019-03-10	196747	217471	4
4968	FI4 : positional arithmetic	0	0	0	21	11	0	0	1	0	0		100027	100646	2	0	2	0	0	ACE touchscreen question "11 12 13 14 15 16 17 18 Divide the sixth number to the right of twelve by three. Is the answer?". Part 4 of Fluid Intelligence test.<p>Offered choice from 5, 6, 7, or 8.	2012-01-05	2019-03-10	196377	217077	5
4979	FI5 : family relationship calculation	0	0	0	21	11	0	0	1	0	0		100027	100647	2	0	2	0	0	ACE touchscreen question "If Truda's mother's brother is Tim's sister's father, what relation is Truda to Tim?". Part 5 of Fluid Intelligence test.<p>Offered choice from Aunt, Sister, Niece, Cousin, No-relation.	2012-01-05	2019-03-10	191391	211766	6
4990	FI6 : conditional arithmetic	0	0	0	21	11	0	0	1	0	0		100027	100648	2	0	2	0	0	ACE touchscreen question "If sixty is more than half of seventy-five, multiply twenty-three by three. If not subtract 15 from eighty-five. Is the answer?". Part 6 of Fluid Intelligence test.<p>Offered choice from 68, 69, 70, 71, 72.	2012-01-05	2019-03-10	172001	190155	7
5001	FI7 : synonym	0	0	0	21	11	0	0	1	0	0		100027	100649	2	0	2	0	0	ACE touchscreen question "Stop means the same as?". Part 7 of Fluid Intelligence test. <p>Offered choice from Pause, Close, Cease, Break or Rest.	2012-01-05	2019-03-10	140811	155377	8
5012	FI8 : chained arithmetic	0	0	0	21	11	0	0	1	0	0		100027	100650	2	0	2	0	0	ACE touchscreen question "If David is twenty-one and Owen is nineteen and Daniel is nine years younger than David, what is half their combined age?". Part 8 of Fluid Intelligence test.<p>Offered choice from 25, 26, 27, 28 or 29.	2012-01-05	2019-03-10	128127	141226	9
5057	Number of older siblings	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	2	0	0	ACE touchscreen question "How many OLDER brothers/sisters do you have? (Please include those who have died, and twins. Do not include half-, step- or adopted brothers and sisters)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F5057~ was collected from participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05	2019-03-10	180280	199628	32
5074	Number of letters shown in round (left)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), number of letters shown in round	2012-01-05	2012-01-06	133083	391884	220
5075	Number of letters shown in round (right)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), number of letters shown in round	2012-01-05	2012-01-06	133133	385463	230
5076	Number of letters correct in round (right)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), number of letters correct in round	2012-01-05	2012-01-06	133133	385463	270
5077	Number of letters correct in round (left)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), number of letters correct in round	2012-01-05	2012-01-06	133083	391884	260
5078	logMAR in round (left)	0	0	0	31	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), logMAR for round	2012-01-05	2012-01-06	133083	391884	340
5079	logMAR in round (right)	0	0	0	31	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), logMAR for round	2012-01-05	2012-01-06	133133	385463	350
5080	Displayed letters in round (right)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), displayed letters in round	2012-01-05	2012-01-06	133133	385463	250
5081	Displayed letters in round (left)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), displayed letters in round	2012-01-05	2012-01-06	133083	391884	240
5082	Visual acuity result in round (left)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), letter-by-letter result for round<p>Value is 1 for correct letter, 0 for error. Ordering is same as ~F5081~.	2012-01-05	2012-01-06	133083	391884	380
5083	Visual acuity result in round (right)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), letter-by-letter result for round<p>Value is 1 for correct letter, 0 for error. Ordering is same as ~F5080~.	2012-01-05	2012-01-06	133133	385463	390
5084	Spherical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the spherical power of refractometry results for the right eye (0.00 indicates none)	2012-01-05	2012-01-06	129741	401152	72.5
5085	Spherical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the spherical power of refractometry results for the left eye (0.00 indicates none)	2012-01-05	2012-01-06	129278	399167	72
5086	Cylindrical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the cylindrical power of refractometry results for the left eye (0.00 indicates none)	2012-01-05	2012-01-06	129278	399167	71
5087	Cylindrical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the cylindrical power of refractometry results for the right eye (0.00 indicates none)	2012-01-05	2012-01-06	129741	401152	71.5
5088	Astigmatism angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	9	This is the astigmatism axial angle of refractometry results for the right eye (blank value indicates no cylinder power)	2012-01-05	2012-01-06	129741	401046	70.5
5089	Astigmatism angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	9	This is the astigmatism axial angle of refractometry results for the left eye (blank value indicates no cylinder power)	2012-01-05	2012-01-06	129278	399068	70
5090	Refractometry result unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1204	2	0	1	0	8	This data field is a string-encoded value meaning refractometry results are unreliable for the left eye	2012-01-05	2012-01-06	7320	16123	75
5091	Refractometry result unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1204	2	0	1	0	6	This data field is a string-encoded value meaning refractometry results are unreliable for the right eye	2012-01-05	2012-01-06	10473	23318	75.5
5096	3mm weak meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 3mm for the left eye	2012-01-05	2012-01-06	124561	376212	54
5097	6mm weak meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 3mm for the left eye	2012-01-05	2012-01-06	107717	307058	69
5098	6mm weak meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 6mm for the right eye	2012-01-05	2012-01-06	108843	301602	69.5
5099	3mm weak meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 3mm for the right eye	2012-01-05	2012-01-06	124540	368043	54.5
5100	3mm weak meridian angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 3mm for the right eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	124540	368043	53.5
5101	6mm weak meridian angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 6mm for the right eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	108843	301602	68.5
5102	6mm weak meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 6mm for the left eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	107717	307058	68
5103	3mm weak meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 3mm for the left eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	124561	376212	53
5104	3mm strong meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the left eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	124561	376212	51
5105	6mm strong meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 6mm for the left eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	107717	307058	66
5106	6mm strong meridian angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 6mm for the right eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	108843	301602	66.5
5107	3mm strong meridian angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the right eye (blank indicates no cylinder power)	2012-01-05	2012-01-06	124540	368043	51.5
5108	3mm asymmetry angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 3mm for the right eye (blank indicates no asymmetry)	2012-01-05	2012-01-06	121942	356733	40.5
5109	6mm asymmetry angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 6mm for the right eye (blank indicates no asymmetry)	2012-01-05	2012-01-06	67183	176238	57.5
5110	6mm asymmetry angle (left)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 6mm for the left eye (blank indicates no asymmetry)	2012-01-05	2012-01-06	66238	179771	57
5111	3mm asymmetry angle (left)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 3mm for the left eye (blank indicates no asymmetry)	2012-01-05	2012-01-06	121711	364590	40
5112	3mm cylindrical power angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 3mm for the left eye (blank indicates none)	2012-01-05	2012-01-06	124542	375590	44
5113	6mm cylindrical power angle (left)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 6mm for the left eye (blank indicates none)	2012-01-05	2012-01-06	107686	306515	61
5114	6mm cylindrical power angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 6mm for the right eye (blank indicates none)	2012-01-05	2012-01-06	108814	301069	61.5
5115	3mm cylindrical power angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 3mm for the right eye (blank indicates none)	2012-01-05	2012-01-06	124528	367393	44.5
5116	3mm cylindrical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 3mm for the right eye (0 indicates none)	2012-01-05	2012-01-06	124540	368043	45.5
5117	6mm cylindrical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 6mm for the right eye (0 indicates none)	2012-01-05	2012-01-06	108843	301602	62.5
5118	6mm cylindrical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 6mm for the left eye (0 indicates none)	2012-01-05	2012-01-06	107717	307058	62
5119	3mm cylindrical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 3mm for the left eye (0 indicates none)	2012-01-05	2012-01-06	124561	376212	45
5132	3mm strong meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the right eye	2012-01-05	2012-01-06	124540	368043	52.5
5133	6mm strong meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 6mm for the right eye	2012-01-05	2012-01-06	108843	301602	67.5
5134	6mm strong meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	[keratometry@6mm/left] strong meridian	2012-01-05	2012-01-06	107717	307058	67
5135	3mm strong meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the left eye	2012-01-05	2012-01-06	124561	376212	52
5136	3mm keratometry result unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1205	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 3mm for the left eye	2012-01-05	2012-01-06	5888	11180	47
5138	6mm keratometry result unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1206	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 6mm for the left eye	2012-01-05	2012-01-06	52814	126940	56
5139	6mm keratometry result unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1206	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 6mm for the right eye	2012-01-05	2012-01-06	54842	124694	56.5
5140	3mm keratometry result unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1205	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 3mm for the right eye	2012-01-05	2012-01-06	6239	10741	47.5
5141	3mm asymmetry index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1207	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 3mm for the left eye	2012-01-05	2012-01-06	11661	21526	41
5142	6mm asymmetry index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1208	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 6mm for the left eye	2012-01-05	2012-01-06	34478	72686	59
5143	6mm asymmetry index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1208	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 6mm for the right eye	2012-01-05	2012-01-06	35524	70666	59.5
5144	3mm asymmetry index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1207	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 3mm for the right eye	2012-01-05	2012-01-06	12011	20342	41.5
5145	3mm regularity index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1209	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 3mm for the right eye	2012-01-05	2012-01-06	12032	20376	49.5
5146	6mm regularity index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1209	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 6mm for the right eye	2012-01-05	2012-01-06	35621	70887	64.5
5147	6mm regularity index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1210	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 6mm for the left eye	2012-01-05	2012-01-06	34512	72772	64
5148	3mm regularity index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1210	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 3mm for the left eye	2012-01-05	2012-01-06	11672	21542	49
5149	3mm regularity index for irregular astigmatism level (left)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the regularity index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the left eye	2012-01-05	2012-01-06	121730	364731	50
5152	3mm asymmetry index for irregular astigmatism level (right)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the asymmetry index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the right eye	2012-01-05	2012-01-06	121942	356745	43.5
5155	3mm asymmetry index for irregular astigmatism level (left)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the asymmetry index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the left eye	2012-01-05	2012-01-06	121711	364612	43
5156	3mm asymmetry index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 3mm for the left eye	2012-01-05	2012-01-06	121711	364612	42
5157	6mm asymmetry index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 6mm for the left eye	2012-01-05	2012-01-06	66238	179771	58
5158	6mm asymmetry index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 6mm for the right eye	2012-01-05	2012-01-06	67183	176238	58.5
5159	3mm asymmetry index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 3mm for the right eye	2012-01-05	2012-01-06	121942	356745	42.5
5160	3mm regularity index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 3mm for the right eye	2012-01-05	2012-01-06	121980	357005	48.5
5161	6mm regularity index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 6mm for the right eye	2012-01-05	2012-01-06	67285	176732	63.5
5162	6mm regularity index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 6mm for the left eye	2012-01-05	2012-01-06	66276	179975	63
5163	3mm regularity index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 3mm for the left eye	2012-01-05	2012-01-06	121730	364731	48
5164	3mm regularity index for irregular astigmatism level (right)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the regularity index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the right eye	2012-01-05	2012-01-06	121980	357005	50.5
5181	Ever had eye surgery	0	0	0	21	11	0	0	1	0	0		100099	100271	2	0	1	0	0	Participant asked "Ever had eye surgery?"	2012-01-05	2012-01-06	133939	138208	1
5182	Both eyes present	0	0	0	21	11	0	0	1	0	0		100099	100273	2	0	1	0	0	Participant asked "Both eyes present?"	2012-01-05	2012-01-06	133939	138208	7
5183	Current eye infection	0	0	0	21	11	0	0	1	0	0		100099	7	2	0	1	0	0	Participant asked "Currently has infectious eye condition (e.g. viral conjunctivitis)?" as a screening question for the eye investigations.<p>Infectious participants were excluded from all investigations where there was a chance the problem could be passed on to subsequent users of the equipment - i.e. they were only eligible for the visual acuity test.	2012-01-05	2012-01-06	133932	138201	8
5185	Visual acuity measured (right)	0	0	0	21	11	0	0	1	0	0		100017	100274	2	0	1	0	0	Visual acuity (right) method	2012-01-05	2012-01-06	133646	137904	170
5186	Duration visual-acuity screen displayed (right)	0	0	0	11	0	0	2	1	0	0	seconds	100017	0	2	0	1	0	0	Duration at which visual-acuity (right eye) first shown	2012-01-05	2012-01-06	133646	137904	410
5187	Visual acuity measured (left)	0	0	0	21	11	0	0	1	0	0		100017	100274	2	0	1	0	0	Visual acuity (left) method	2012-01-05	2012-01-06	133641	137900	160
5188	Duration visual-acuity screen displayed (left)	0	0	0	11	0	0	2	1	0	0	seconds	100017	0	2	0	1	0	0	Duration at which visual-acuity (left eye) first shown,	2012-01-05	2012-01-06	133641	137900	400
5189	Auto-refraction method (right)	0	0	0	21	11	0	0	1	0	0		100014	100274	2	0	1	0	0	Auto-refraction method (right)	2012-01-05	2012-01-06	132153	136319	39.5
5190	Duration at which refractometer first shown (right)	0	0	0	11	0	0	2	1	0	0	seconds	100014	0	2	0	1	0	0	Duration at which refractometer (right eye) first shown.	2012-01-05	2012-01-06	132153	136319	0.5
5191	Auto-refraction method (left)	0	0	0	21	11	0	0	1	0	0		100014	100274	2	0	1	0	0	Auto-refraction method (left)	2012-01-05	2012-01-06	132147	136314	39
5193	Duration at which refractometer first shown (left)	0	0	0	11	0	0	2	1	0	0	seconds	100014	0	2	0	1	0	0	Duration at which refractometer (left eye) first shown.	2012-01-05	2012-01-06	132147	136314	0
5194	Intra-ocular pressure (IOP) method (right)	0	0	0	21	11	0	0	1	0	0		100015	100274	2	0	1	0	0	Indicates whether the Intra-ocular pressure measure was performed or not for right eye	2012-01-05	2012-01-06	132153	136319	9.5
5196	Intra-ocular pressure (IOP) method (left)	0	0	0	21	11	0	0	1	0	0		100015	100274	2	0	1	0	0	Indicates whether the Intra-ocular pressure measure was performed or not for left eye	2012-01-05	2012-01-06	132147	136314	9
5198	Eye measures duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	1	0	0	Time taken for ocular, seconds<p>	2012-01-05	2012-01-06	133939	138208	0
5199	logMAR, initial (right)	0	0	0	31	0	0	1	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), initial logMAR	2012-01-05	2012-01-06	133137	137359	330
5200	Final number of letters displayed (right)	0	0	0	11	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), final number of letters displayed	2012-01-05	2012-01-06	133137	137359	290
5201	logMAR, final (right)	0	0	0	31	0	0	0	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), final logMAR	2012-01-05	2012-01-06	132016	136206	370
5202	Number of rounds to result (right)	0	0	0	11	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), number of rounds required to get final result	2012-01-05	2012-01-06	133137	137359	310
5204	Distance of viewer to screen (right)	0	0	0	31	0	0	2	1	0	0	metres	100017	0	2	0	1	0	0	Distance of viewer to screen in visual acuity (right)	2012-01-05	2012-01-06	133137	137359	190
5205	Direct or mirror view (right)	0	0	0	21	11	0	1	1	0	0		100017	34	2	0	1	0	0	Is view plain or mirrored in visual-acuity (right)<p>0=plain, 1=mirrored	2012-01-05	2012-01-06	133137	137359	210
5206	logMAR, initial (left)	0	0	0	31	0	0	1	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), initial logMAR	2012-01-05	2012-01-06	133084	137302	320
5207	Final number of letters displayed (left)	0	0	0	11	0	0	1	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), final number of letters displayed	2012-01-05	2012-01-06	133084	137302	280
5208	logMAR, final (left)	0	0	0	31	0	0	0	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), final logMAR	2012-01-05	2012-01-06	132012	136199	360
5209	Number of rounds to result (left)	0	0	0	11	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), number of rounds required to get final result	2012-01-05	2012-01-06	133083	137301	300
5211	Distance of viewer to screen (left)	0	0	0	31	0	0	2	1	0	0	metres	100017	0	2	0	1	0	0	Distance of viewer to screen in visual acuity (left)	2012-01-05	2012-01-06	133084	137302	180
5212	Direct or mirror view (left)	0	0	0	21	11	0	1	1	0	0		100017	34	2	0	1	0	0	Is view plain or mirrored in visual-acuity (left)<p>0=plain, 1=mirror	2012-01-05	2012-01-06	133084	137302	200
5214	Auto-refractor device ID (right)	0	0	0	41	0	0	2	1	0	0		100014	0	2	0	1	0	0	Machine serial number of Tomey RC5000 Auto Refkeratometer device used for right eye	2012-01-05	2012-01-05	129741	133749	76.5
5215	Vertex distance (right)	0	0	0	31	0	0	0	1	0	0	mm	100014	0	2	0	1	0	0	Vertex distance for the refractometry measures for the right eye	2012-01-05	2012-01-05	129741	133749	73.5
5221	Index of best refractometry result (right)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative refractometry result for right eye	2012-01-05	2012-01-06	129741	133749	74.5
5237	3mm index of best keratometry results (right)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 3mm for right eye	2012-01-05	2012-01-06	124540	128373	46.5
5251	6mm index of best keratometry results (right)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 6mm for right eye	2012-01-05	2012-01-06	108843	111878	55.5
5253	Intra-ocular pressure device ID (right)	0	0	0	41	0	0	2	0	0	0		100015	0	2	0	0	0	0	Serial number of Reichert Ocular Response Analyzer device for right eye	2012-01-05	2014-08-08	68194	68194	16.5
5254	Intra-ocular pressure, corneal-compensated (right)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	corneal-compensated intraocular pressure for right eye	2012-01-05	2012-01-06	127825	131786	12.5
5255	Intra-ocular pressure, Goldmann-correlated (right)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	goldmann-correlated intraocular pressure for right eye	2012-01-05	2012-01-06	127825	131786	13.5
5256	Corneal hysteresis (right)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal hysteresis for right eye (a measure of viscuous damping in the cornea)	2012-01-05	2012-01-06	127825	131786	10.5
5257	Corneal resistance factor (right)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal resistance factor for right eye	2012-01-05	2012-01-06	127825	131786	11.5
5258	Applanation curve (right)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 applanation values describe the reflected light signal from the cornea as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05	2012-01-06	127825	131786	14.5
5259	Pressure curve (right)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 pressure values describe pressure extered as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05	2012-01-06	127825	131786	15.5
5261	Intra-ocular pressure device ID (left)	0	0	0	41	0	0	2	0	0	0		100015	0	2	0	0	0	0	Serial number of Reichert Ocular Response Analyzer device for left eye.	2012-01-05	2014-08-08	68050	68050	16
5262	Intra-ocular pressure, corneal-compensated (left)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	corneal-compensated intraocular pressure for left eye	2012-01-05	2012-01-06	127455	131399	12
5263	Intra-ocular pressure, Goldmann-correlated (left)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	goldmann-correlated intraocular pressure for left eye	2012-01-05	2012-01-06	127455	131399	13
5264	Corneal hysteresis (left)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal hysteresis for left eye (a measure of viscuous damping in the cornea)	2012-01-05	2012-01-06	127455	131399	10
5265	Corneal resistance factor (left)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal resistance factor for left eye	2012-01-05	2012-01-06	127455	131399	11
5266	Applanation curve (left)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 applanation values describe the reflected light signal from the cornea as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05	2012-01-06	127455	131399	14
5267	Pressure curve (left)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 pressure values describe pressure extered as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05	2012-01-06	127455	131399	15
5270	Optical-coherence tomography device ID	0	0	0	41	0	0	2	1	0	0		100016	0	2	0	1	0	0	Optical-coherence tomography gadget ID	2012-01-05	2012-01-06	133939	138208	240
5273	Auto-refractor device ID (left)	0	0	0	41	0	0	2	1	0	0		100014	0	2	0	1	0	0	Machine serial number of Tomey RC5000 Auto Refkeratometer device used for left eye	2012-01-05	2012-01-05	129278	133252	76
5274	Vertex distance (left)	0	0	0	31	0	0	0	1	0	0	mm	100014	0	2	0	1	0	0	Vertex distance for the refractometry measures for the left eye	2012-01-05	2012-01-05	129278	133252	73
5276	Index of best refractometry result (left)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative refractometry result for left eye	2012-01-05	2012-01-06	129278	133252	74
5292	3mm index of best keratometry results (left)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 3mm for left eye	2012-01-05	2012-01-06	124561	128378	46
5306	6mm index of best keratometry results (left)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 6mm for left eye	2012-01-05	2012-01-06	107717	110638	55
5324	Ever had cataract surgery	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	1	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had cataract surgery. If yes, they were excluded from all eye tests.	2012-01-05	2012-01-06	10628	10880	2
5325	Ever had refractive laser eye surgery	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	1	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had refractive laser eye surgery. If yes, they were excluded from all eye tests.	2012-01-05	2012-01-06	10628	10880	3
5326	Ever had surgery for glaucoma or high eye pressure	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	1	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had surgery for glaucoma or high eye pressure. If yes, they were excluded from all eye tests.	2012-01-05	2012-01-06	10628	10880	4
5327	Ever had laser treatment for glaucoma or high eye pressure	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	1	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had ever had laser treatment for glaucoma or high eye pressure. If yes, they were excluded from all eye tests.	2012-01-05	2012-01-06	10628	10880	5
5328	Ever had corneal graft surgery	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	1	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had ever had corneal graft surgery. If yes, they were excluded from all eye tests.	2012-01-05	2012-01-06	10628	10880	6
5364	Average weekly intake of other alcoholic drinks	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	2	0	0	ACE touchscreen question "In an average WEEK, how many glasses of other alcoholic drinks (such as alcopops) would you drink?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li></ul><p>~F5364~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05	2019-03-10	140770	155913	14
5375	Longest period of unenthusiasm / disinterest	0	0	0	11	0	0	0	1	0	0	weeks	100060	100291	2	0	2	0	0	ACE touchscreen question "How many weeks was the longest period when you were uninterested in things or unable to enjoy the things you used to?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 999 then rejected</li></ul><p>~F5375~ was collected from participants who indicated they have been uninterested in things or unable to enjoy things they used to for at least a week, as defined by their answers to ~F4631~	2012-01-05	2019-03-10	73010	77977	30
5386	Number of unenthusiastic/disinterested episodes	0	0	0	11	0	0	0	1	0	0	periods	100060	100291	2	0	2	0	0	ACE touchscreen question "How many periods have you had when you were uninterested in things or unable to enjoy the things you used to for at least a whole week?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 999 then rejected</li></ul><p>~F5386~ was collected from participants who indicated they have been uninterested in things or unable to enjoy things they used to for at least a week, as defined by their answers to ~F4631~	2012-01-05	2019-03-10	73007	77973	31
5408	Which eye(s) affected by amblyopia (lazy eye)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by amblyopia (lazy eye)?"<p>~F5408~ was collected from participants who indicated they wear prescribed  glasses or contact lenses to correct their amblyopia, as defined by their answers to ~F6147~	2012-01-05	2019-03-10	5555	6005	9
5419	Which eye(s) affected by injury or trauma resulting in loss of vision	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by injury or trauma resulting in loss of vision?"<p>~F5419~ was collected from participants who indicated they have had an injury or trauma resulting in loss of vision, as defined by their answers to ~F6148~	2012-01-05	2019-03-07	1113	1159	16
5430	Age when loss of vision due to injury or trauma diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	2	0	0	ACE touchscreen question "What was your age when injury or trauma resulting in loss of vision was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5430~ was collected from participants who indicated they have had an injury or trauma resulting in loss of vision, as defined by their answers to ~F6148~	2012-01-05	2019-03-07	1113	1159	21
5441	Which eye(s) are affected by cataract	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by a cataract?"<p>~F5441~ was collected from participants who indicated they have cataract, as defined by their answers to ~F6148~	2012-01-05	2019-03-10	11515	12243	17
5452	Leg pain when standing still or sitting	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	2	0	0	ACE touchscreen question "Does this pain ever begin when you are standing still or sitting?"<p>~F5452~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	2
5463	Leg pain in calf/calves	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	2	0	0	ACE touchscreen question "Do you get this pain in your calf (calves)?"<p>~F5463~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	3
5474	Leg pain when walking uphill or hurrying	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	2	0	0	ACE touchscreen question "Do you get pain when you walk uphill or hurry?"<p>~F5474~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	4
5485	Leg pain when walking normally	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	2	0	0	ACE touchscreen question "Do you get pain when you walk at an ordinary pace on the level?"<p>~F5485~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	5
5496	Leg pain when walking ever disappears while walking	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	2	0	0	ACE touchscreen question "Does the pain you get while walking ever disappear when you continue walking?"<p>~F5496~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~ and they get pain walking at an ordinary pace on the level, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	26523	27199	6
5507	Leg pain on walking : action taken	0	0	0	21	11	0	0	1	0	0		100038	100549	2	0	2	0	0	ACE touchscreen question "What do you do if you get pain when you are walking?"<p>~F5507~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	7
5518	Leg pain on walking : effect of standing still	0	0	0	21	11	0	0	1	0	0		100038	100550	2	0	2	0	0	ACE touchscreen question "What happens to the pain you get while walking if you stand still?"<p>~F5518~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	8
5529	Surgery on leg arteries (other than for varicose veins)	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	2	0	0	ACE touchscreen question "Have you ever had surgery on the arteries of your legs (other than for varicose veins)?"<p>~F5529~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	9
5540	Surgery/amputation of toe or leg	0	0	0	21	11	0	0	1	0	0		100038	100552	2	0	2	0	0	ACE touchscreen question "Have you ever had surgery to remove any of the following?"<p>~F5540~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05	2019-03-10	48537	50412	10
5556	FI9 : concept interpolation	0	0	0	21	11	0	0	1	0	0		100027	100651	2	0	2	0	0	ACE touchscreen question "Age is to Years as Height is to?". Part 9 of Fluid Intelligence test.<p>Offered choice from Long, Deep, Top, Metres or Tall.	2012-01-05	2019-03-10	60880	65869	10
5610	Which eye(s) affected by presbyopia	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by presbyopia?"<p>~F5610~ was collected from participants who indicated they wear glasses or contact lenses to correct their presbyopia, as defined by their answers to ~F6147~	2012-01-05	2019-03-10	61994	67069	6
5663	Length of longest manic/irritable episode	0	0	0	21	11	0	0	1	0	0		100060	100499	2	0	2	0	0	ACE touchscreen question "What is the longest time period that these "high" or "irritable" periods have lasted?" <p>~F5663~ was collected from participants who indicated they have had a period of at least two days when they were more high, excited or hyper than their normal self, or so irritable they shouted or started fights or arguments, as defined by their answers to ~F4642~ and ~F4653~	2012-01-05	2019-03-10	42081	43847	35
5674	Severity of manic/irritable episodes	0	0	0	21	11	0	0	1	0	0		100060	100500	2	0	2	0	0	ACE touchscreen question "How much of a problem have these "high" or "irritable" periods caused you?"<p>~F5674~ was collected from participants who indicated they have had a period of at least two days when they were more high, excited or hyper than their normal self, or so irritable they shouted or started fights or arguments, as defined by their answers to ~F4642~ and ~F4642~	2012-01-05	2019-03-10	42081	43847	36
5699	FI10 : arithmetic sequence recognition	0	0	0	21	11	0	0	1	0	0		100027	100652	2	0	2	0	0	ACE touchscreen question "150 ... 137 ... 125 ... 114 ... 104 ... What comes next?". Part 10 of Fluid Intelligence test.<p>Offered choice from 92, 93, 94, 95 or 96.	2012-01-05	2019-03-10	42388	45580	11
5779	FI11 : antonym	0	0	0	21	11	0	0	1	0	0		100027	100653	2	0	2	0	0	ACE touchscreen question "Relaxed means the opposite of?". Part 11 of Fluid Intelligence test.<p>Offered choice from Calm, Anxious, Cool, Worried, Tense.	2012-01-05	2019-03-10	22444	23937	12
5790	FI12 : square sequence recognition	0	0	0	21	11	0	0	1	0	0		100027	100654	2	0	2	0	0	ACE touchscreen question "100 ... 99 ... 95 ... 86 ... 70 ... What comes next?". Part 12 of Fluid Intelligence test.<p>Offered choice from 45, 46, 47, 48, 49, 50.	2012-01-05	2019-03-10	15835	16807	13
5832	Which eye(s) affected by hypermetropia (long sight)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by hypermetropia (long sight)?"<p>~F5832~ was collected from participants who indicated they wear glasses or contact lenses to correct their hypermetropia, as defined by their answers to ~F6147~	2012-01-05	2019-03-10	31337	33106	5
5843	Which eye(s) affected by myopia (short sight)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by myopia (short sight)?"<p>~F5843~ was collected from participants who indicated they wear glasses or contact lenses to correct their myopia, as defined by their answers to ~F6147~	2012-01-05	2019-03-10	57963	64279	4
5855	Which eye(s) affected by astigmatism	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by astigmatism?"<p>~F5855~ was collected from participants who indicated they wear glasses or contact lenses to correct their astigmatism, as defined by their answers to ~F6147~	2012-01-05	2019-03-10	19098	21023	7
5866	FI13 : subset inclusion logic	0	0	0	21	11	0	0	1	0	0		100027	100655	2	0	2	0	0	ACE touchscreen question "If some flinks are plinks and some plinks are stinks then some flinks are definitely stinks?". Part 13 of Fluid Intelligence test.<p>Offered choice from True, False, Neither-true-nor-false.	2012-01-05	2019-03-10	5733	5949	14
5877	Which eye(s) affected by other eye condition	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by your other eye condition?"<p>~F5877~ was collected from participants who indicated they wear glasses or contact lenses to correct their other type of eye condition (not myopia, hypermetropia, presbyopia, astigmatism, strabismus or amblyopia), as defined by their answers to ~F6147~	2012-01-05	2019-03-10	2642	2718	10
5890	Which eye(s) affected by diabetes-related eye disease	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by diabetes related eye disease?"<p>~F5890~ was collected from participants who indicated they have diabetes related eye disease as defined by their answers to ~F6148~	2012-01-05	2019-03-10	1973	2043	14
5901	Age when diabetes-related eye disease diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	2	0	0	ACE touchscreen question "What was your age when diabetes related eye disease was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5901~ was collected from participants who indicated they have diabetes related eye disease, as defined by their answers to ~F6148~	2012-01-05	2019-03-10	2282	2358	19
5912	Which eye(s) affected by macular degeneration	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by macular degeneration?"<p>~F5912~ was collected from participants who indicated they have macular degeneration, as defined by their answers to ~F6148~	2012-01-05	2019-03-10	2256	2397	18
5923	Age macular degeneration diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	2	0	0	ACE touchscreen question "What was your age when macular degeneration was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5923~ was collected from participants who indicated they have macular degeneration, as defined by their answers to ~F6148~	2012-01-05	2019-03-10	2256	2397	23
5934	Which eye(s) affected by other serious eye condition	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by the other serious eye condition?"<p>~F5934~ was collected from participants who indicated they have other serious eye condition (i.e. not diabetes, glaucoma, trauma, cataract or macular degeneration), as defined by their answers to ~F6148~	2012-01-05	2019-03-10	3576	3748	11
5945	Age other serious eye condition diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	2	0	0	ACE touchscreen question "What was your age when the other serious eye condition was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5945~ was collected from participants who indicated they have another serious eye condition (i.e. not diabetes, glaucoma, trauma, cataract or macular degeneration), as defined by their answers to ~F6148~	2012-01-05	2019-03-10	3576	3748	24
5959	Previously smoked cigarettes on most/all days	0	0	0	21	11	0	0	1	0	0		100058	100352	2	0	2	0	0	ACE touchscreen question "Did you previously smoke cigarettes on most or all days?"<p>~F5959~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and those who currently smoke cigars and pipes, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	2668	2768	3010
5983	ECG, heart rate	0	0	0	11	0	0	0	1	1	0		100012	0	2	0	1	0	111	ECG, heart rate<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains heart rate (beats per minute) at the time of the trend entry	2012-01-05	2012-01-05	94858	5728847	20
5984	ECG, load	0	0	0	11	0	0	0	1	1	0	Watts	100012	0	2	0	1	0	113	ECG, load<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains load in Watts at the time of the trend entry.	2012-01-05	2012-01-05	94957	5746075	19
5985	Bicycle speed	0	0	0	11	0	0	2	1	1	0	revolutions/minute	100012	0	2	0	1	0	113	ECG, revolutions per minute<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains revolutions per minute of the treadmill at the time of the trend entry.	2012-01-05	2012-01-05	94957	5746075	10
5986	ECG, phase time	0	0	0	11	0	0	0	1	1	0	seconds	100012	0	2	0	1	0	113	ECG, phase time<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains the time spent within the phase of the trend entry.	2012-01-05	2012-01-05	95153	5759247	14
5987	ECG, trend phase name	0	0	0	41	0	0	0	1	1	0		100012	0	2	0	1	0	113	ECG, phase name<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains the name of the phase when trend entry is taken.	2012-01-05	2012-01-05	95147	5759241	12
5988	ECG, stage name	0	0	0	41	0	0	0	1	1	0		100012	0	2	0	1	0	113	ECG, stage name<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded alongwith the stage name. This field contains the name of the stage when trend entry is taken.	2012-01-05	2012-01-05	95147	5759241	16
5990	ECG, stage duration	0	0	0	11	0	0	0	1	0	0		100012	0	2	0	0	0	0	ECG, stage duration<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. This field contains stage duration within a phase in seconds.	2012-01-05	2000-01-01	-1	-1	18
5991	ECG, phase name	0	0	0	41	0	0	0	1	1	0		100012	0	2	0	1	0	2	ECG, phase name<p>Bike test generally consists of many phases. This field contains phase name.	2012-01-05	2012-01-05	95153	294126	11
5992	ECG, phase duration	0	0	0	11	0	0	0	1	1	0		100012	0	2	0	1	0	2	ECG, phase duration<p>The exercise test consists of many phases. This field contains the duration of a phase in seconds in an exercise test.	2012-01-05	2012-01-05	95153	294126	13
5993	ECG, number of stages in a phase	0	0	0	11	0	0	0	1	1	0		100012	0	2	0	1	0	2	ECG, number of stages in a phase<p>The Bike Test consists many phases. A phase is generally divided into number of stages. This field shows total number of stages within a phase.	2012-01-05	2012-01-05	95153	294126	17
6014	Doctor restricts physical activity due to heart condition	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 1, asked prior to fitness test<p>"Has a doctor ever said that you have a heart condition and that you should only do physical activity recommended by a doctor"	2012-01-05	2012-01-06	96559	99531	1
6015	Chest pain felt during physical activity	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 2, asked prior to fitness test<p>""Do you feel pain in your chest when you do physical activity"	2012-01-05	2012-01-06	96559	99531	2
6016	Chest pain felt outside physical activity	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 3, asked prior to fitness test<p>"In the past month, have you had chest pain when you were NOT doing physical activity"	2012-01-05	2012-01-06	96559	99531	3
6017	Able to walk or cycle unaided for 10 minutes	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 4, asked prior to fitness test<p>"Are you able to walk or cycle unaided for 10 minutes"	2012-01-05	2012-01-06	96559	99531	4
6019	ECG/bike method for fitness test	0	0	0	21	11	0	0	1	0	0		100012	100256	2	0	1	0	0	This data field describes whether the ECG was performed during the bike test, at rest, or not performed.	2012-01-05	2012-01-06	96219	99179	6
6020	Completion status of test	0	0	0	21	11	0	0	1	0	0		100012	100257	2	0	1	0	0	Completion status of test<p>1, "Fully completed" / 31, "Participant wanted to stop early" / 32, "Participant reported chest-pain and/or other discomfort" / 33, "Heart rate reached safety level" / 34, "Incomplete - other reason"	2012-01-05	2012-01-06	95165	98055	26
6022	ECG during exercise duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	1	0	0	Time taken for exercise, seconds<p>	2012-01-05	2012-01-06	96561	99533	0
6023	Description of exercise protocol recommended	0	0	0	41	0	0	2	1	0	0		100012	0	2	0	1	0	0	Description of exercise protocol recommended	2012-01-05	2012-01-06	95163	98052	5
6024	Program category	0	0	0	21	11	0	0	1	0	0		100012	35	2	0	1	0	0	Participants are divided into 5 categories based on their risk profile (as detailed in the explanatory documentation). <p> <ul> <li>Minimal risk, cycle at 50% level of the absolute maximum work load;</li><li>Small risk, cycle at 35% level of the absolute maximum work load;</li><li>Medium risk, cycle at constant level; </li><li>High risk, take measurement at rest only;</li><li>ECG not to be performed.</li> </ul>	2012-01-05	2012-01-06	96561	99533	7
6025	Fitness test results, including ECG data	0	0	0	41	0	20	0	1	0	0		100012	0	2	0	1	0	0	Readings taken during the exercise bike test are recorded in an XML file at the end of the test. This is the name of that file (which will be required by any researchers wishing to analyse the data).	2012-01-05	2013-03-25	95063	97940	24
6032	Maximum workload during fitness test	0	0	0	11	0	0	0	1	0	0	Watts	100012	0	2	0	1	0	0	Maximum workload attained during the fitness test<p>The Bike Test consists of three phases, a Pre-Test phase, where a resting ECG is recorded for some time. An Activity phase, where the participant cycles for a set period of time with increasing cycling workload, and finally a Recovery phase, where the participant has stopped pedalling and an ECG is recorded.	2012-01-05	2012-01-06	95152	98041	22
6033	Maximum heart rate during fitness test	0	0	0	11	0	0	0	1	0	0	bpm	100012	0	2	0	1	0	0	This is the maximum heart rate recorded during bike exercise test.<p>The Bike Test consists of three phases: <ul><li>A Pre-Test phase, where a resting ECG is recorded for some time;</li> <li>an Activity phase, where the participant cycles for a set period of time with increasing cycling workload;</li> <li>and finally a Recovery phase, where the participant has stopped pedalling and an ECG is recorded.</li> </ul> Heart rate is recorded in all stages and this field gives the maximum of those values.	2012-01-05	2012-01-06	95132	98019	21
6034	Target heart rate achieved	0	0	0	21	11	0	0	1	0	0		100012	12	2	0	1	0	0	This field specifies whether the target heart rate was achieved during the fitness test.<p>Target HR formula used for biobank participants is = (220 - age ) * 0.75.	2012-01-05	2012-01-06	95153	98042	23
6038	Number of trend entries	0	0	0	11	0	0	0	1	0	0		100012	0	2	0	1	0	0	Number of trend entries during exercise bike test<p>The Bike Test consists of three phases, a Pre- Test phase, where a resting ECG is recorded for some time. An Activity phase, where the participant cycles for a set period of time with increasing cycling workload, and finally a Recovery phase, where the participant has stopped pedalling and an ECG is recorded. At various points, called trends, during the test readings about heart rate, workload etc is recorded. This is the total number of trend entries.	2012-01-05	2012-01-05	95153	98042	8
6039	Duration of fitness test	0	0	0	11	0	0	0	1	0	0	seconds	100012	0	2	0	1	0	0	Length of the exercise test.<p>Difference between ObservationEndDateTime and ObservationDateTime	2012-01-05	2012-01-06	95153	98042	25
6070	OCT measured (right)	0	0	0	21	11	0	0	1	0	0		100016	100274	2	0	1	0	0	Was optical-coherence tomography performed on the right eye	2012-01-05	2012-01-06	95957	98861	170
6071	Duration at which OCT screen shown (right)	0	0	0	11	0	0	2	1	0	0	seconds	100016	0	2	0	1	0	0	Duration at which OCT screen (right eye) first shown, seconds	2012-01-05	2012-01-06	95957	98861	230
6072	OCT measured (left)	0	0	0	21	11	0	0	1	0	0		100016	100274	2	0	1	0	0	Was optical-coherence tomography performed on the left eye	2012-01-05	2012-01-06	95962	98867	160
6073	Duration at which OCT screen shown (left)	0	0	0	11	0	0	2	1	0	0	seconds	100016	0	2	0	1	0	0	Duration at which OCT screen (left eye) first shown	2012-01-05	2012-01-06	95962	98867	220
6074	Glasses worn/required (right)	0	0	0	21	11	0	0	1	0	0		100017	36	2	0	1	0	0	Are glasses worn/required during visual acuity test of right eye.	2012-01-05	2012-01-06	96839	99782	150
6075	Glasses worn/required (left)	0	0	0	21	11	0	0	1	0	0		100017	36	2	0	1	0	0	Are glasses worn/required during visual acuity test of left eye.	2012-01-05	2012-01-06	96814	99754	140
6119	Which eye(s) affected by glaucoma	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by glaucoma?"<p>~F6119~ was collected from participants who indicated they have glaucoma as defined by their answers to ~F6148~	2012-01-05	2019-03-10	3263	3518	15
6138	Qualifications	0	0	0	22	11	0	0	1	1	0		100063	100305	2	0	2	0	5	ACE touchscreen question "Which of the following qualifications do you have? (You can select more than one)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>A levels/AS levels and equivalent includes the Higher School Certificate<br><br>O levels/GCSEs and equivalent includes the School Certificate.<br></i></td></tr></table>	2012-01-05	2019-03-10	498743	1016337	1
6139	Gas or solid-fuel cooking/heating	0	0	0	22	11	0	0	1	1	0		100066	100288	2	0	2	0	2	ACE touchscreen question "Do you have any of the following in your home? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Solid fuel refers to wood or coal.<br>Regular use is when you use this for most days of the<br>week in the winter time.<br></i></td></tr></table>	2012-01-05	2019-03-10	498746	751548	3
6140	Heating type(s) in home	0	0	0	22	11	0	0	1	1	0		100066	100289	2	0	2	0	2	ACE touchscreen question "How is your home mainly heated? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Solid fuel refers to wood or coal.<br>Regular use is when you use this for most days of the<br>week in the winter time.<br></i></td></tr></table>	2012-01-05	2019-03-10	206161	230389	5
6141	How are people in household related to participant	0	0	0	22	11	0	0	1	1	0		100066	100292	2	0	2	0	4	ACE touchscreen question "How are the other people who live with you related to you? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please select all the options that apply.<br>Answer this question considering all the people who you counted in the<br>household in response to the previous question.<br></i></td></tr></table><p>~F6141~ was collected from all participants except those who indicated they were living in a sheltered accommodation or in a care home, as defined by their answers to ~F670~ and living alone, as defined by their answers to ~F670~	2012-01-05	2019-03-10	408954	627425	8
6142	Current employment status	0	0	0	22	11	0	0	1	1	0		100064	100295	2	0	2	0	6	ACE touchscreen question "Which of the following describes your current situation? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If more than one situation applies, select all that are appropriate.<br></i></td></tr></table>	2012-01-05	2019-03-10	501680	609108	1
6143	Transport type for commuting to job workplace	0	0	0	22	11	0	0	1	1	0		100064	100299	2	0	2	0	3	ACE touchscreen question "What types of transport do you use to get to and from work? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your MAIN<br>job only.<br>If you use more than one form of transport then select all that apply<br><br></i></td></tr></table><p>~F6143~ was collected from participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~ except those who indicated they always work from home, as defined by their answers to ~F6142~	2012-01-05	2019-03-10	267321	356045	5
6144	Never eat eggs, dairy, wheat, sugar	0	0	0	22	11	0	0	1	1	0		100052	100385	2	0	2	0	3	ACE touchscreen question "Which of the following do you NEVER eat? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code 5 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2019-03-10	498716	573821	13
6145	Illness, injury, bereavement, stress in last 2 years	0	0	0	22	11	0	0	1	1	0		100060	100502	2	0	2	0	5	ACE touchscreen question "In the last 2 years have you experienced any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2019-03-10	498700	632592	37
6146	Attendance/disability/mobility allowance	0	0	0	22	11	0	0	1	1	0		100067	100510	2	0	2	0	2	ACE touchscreen question "Do you receive any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Only select a response if you personally receive the benefit.<br>Do not include if your spouse or someone in your household<br>receives one of these benefits.<br></i></td></tr></table>	2012-01-05	2019-03-10	501632	572583	1
6147	Reason for glasses/contact lenses	0	0	0	22	11	0	0	1	1	0		100041	100514	2	0	2	0	5	ACE touchscreen question "Why were you prescribed glasses/contacts? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6147~ was collected from participants who indicated they wear glasses or contact lenses to correct their vision, as defined by their answers to ~F2207~	2012-01-05	2019-03-10	142580	200265	3
6148	Eye problems/disorders	0	0	0	22	11	0	0	1	1	0		100041	100523	2	0	2	0	4	ACE touchscreen question "Has a doctor told you that you have any of the following problems with your eyes? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you have had any of the listed<br>eye problems enter Do not know.<br></i></td></tr></table>	2012-01-05	2019-03-10	207179	237418	13
6149	Mouth/teeth dental problems	0	0	0	22	11	0	0	1	1	0		100046	100538	2	0	2	0	5	ACE touchscreen question "Do you have any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past year.<br></i></td></tr></table>	2012-01-05	2019-03-10	498694	620437	1
6150	Vascular/heart problems diagnosed by doctor	0	0	0	22	11	0	0	1	1	0		100044	100605	2	0	2	0	3	ACE touchscreen question "Has a doctor ever told you that you have had any of the following conditions? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you do not know if you have had any of the listed<br>conditions, enter None of the above. You can check this<br>with an interviewer later in the visit.<br></i></td></tr></table>	2012-01-05	2016-11-03	501613	556769	1
6151	Fractured bone site(s)	0	0	0	22	11	0	0	1	1	0		100044	100622	2	0	2	0	6	ACE touchscreen question "Which bones did you fracture/break? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6151~ was collected from participants who indicated they have had fractured/broken bones in the last 5 years, as defined by their answers to ~F2463~	2012-01-05	2019-03-10	51070	58124	19
6152	Blood clot, DVT, bronchitis, emphysema, asthma, rhinitis, eczema, allergy diagnosed by doctor	0	0	0	22	11	0	0	1	1	0		100044	100610	2	0	2	0	4	ACE touchscreen question "Has a doctor ever told you that you have had any of the following conditions? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you do not know if you have had any of the listed<br>conditions, enter None of the above. You can check this<br>with an interviewer later in the visit.<br></i></td></tr></table>	2012-01-05	2019-03-10	501619	596386	6
6153	Medication for cholesterol, blood pressure, diabetes, or take exogenous hormones	0	0	0	22	11	0	0	1	1	2		100045	100626	2	0	2	0	3	ACE touchscreen question "Do you regularly take any of the following medications? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you take any of the types of medications,<br>enter Do not know. You will be asked to provide all of the<br>medications that you take later in the visit.<br></i></td></tr></table>	2012-01-05	2019-03-10	271319	329537	2
6154	Medication for pain relief, constipation, heartburn	0	0	0	22	11	0	0	1	1	0		100045	100628	2	0	2	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Some over the counter medicines are known by other names.  Please enter<br>the corresponding name if you take any of the following REGULARLY<br>(that is, most days of the week for the last 4 weeks):<br><br>Aspirin: Alka Rapid Crystals, Alka-Seltzer XS, Anadin Extra, Anadin<br>  Original, Askit powders, Aspro Clear, Codis 500, Disprin, Disprin Extra<br><br>Ibuprofen: Anadin Ultra, Anadin Ibuprofen, Cuprofen Plus, Nurofen,<br>  Solpaflex, Ibuleve<br><br>Paracetamol: Anadin Extra, Hedex Extra, Panadol, Paracodol, Paramol,<br>  Solpadeine, Syndol, Veganin, Feminax, Midrid, Migraleve<br><br>Codeine: Codis 500, Cuprofen Plus, Nurofen Plus, Panadol Ultra,<br>  Paracodol, Paramol, Solpadeine Max, Sopadeine Plus, Solpafelx, Syndol,<br>  Veganin, Feminax, Migraleve<br></i></td></tr></table>	2012-01-05	2019-03-10	498681	648950	4
6155	Vitamin and mineral supplements	0	0	0	22	11	0	0	1	1	0		100045	100629	2	0	2	0	6	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2019-03-10	498681	634177	7
6156	Manic/hyper symptoms	0	0	0	22	11	0	0	1	1	0		100060	100498	2	0	2	0	3	ACE touchscreen question "Please try to remember a period when you were in a "high" or "irritable" state and select which of the following apply."<p>The following checks were performed:<ul><li>If code 15 was selected, then no additional choices were allowed.</li><li>If code -7 was selected, then no additional choices were allowed.</li></ul><p>~F6156~ was collected from participants who indicated they have had a period of at least two days when they were more high, excited or hyper than their normal self, or so irritable they shouted or started fights or arguments, as defined by their answers to ~F4642~ and ~F4642~	2012-01-05	2019-03-10	42081	51506	34
6157	Why stopped smoking	0	0	0	22	11	0	0	1	1	0		100058	100361	2	0	2	0	3	ACE touchscreen question "Why did you stop smoking? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6157~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~ and that during the time they smoked they stopped for more than 6 months, as defined by their answers to ~F1249~	2012-01-05	2019-03-10	122171	168178	3170
6158	Why reduced smoking	0	0	0	22	11	0	0	1	1	0		100058	100361	2	0	2	0	3	ACE touchscreen question "Why did you reduce your smoking? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6158~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and those who smoke less nowadays than 10 years ago, as defined by their answers to ~F1239~	2012-01-05	2019-03-10	17089	22742	3100
6159	Pain type(s) experienced in last month	0	0	0	22	11	0	0	1	1	0		100048	100553	2	0	2	0	6	ACE touchscreen question "In the last month have you experienced any of the following that interfered with your usual activites? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code 8 was selected, then no additional choices were allowed.</li><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2019-03-10	501628	850792	1
6160	Leisure/social activities	0	0	0	22	11	0	0	1	1	0		100061	100328	2	0	2	0	4	ACE touchscreen question "Which of the following do you attend once a week or more often? (You can select more than one)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies, please think about activities in the last year.<br></i></td></tr></table>	2012-01-05	2019-03-10	501668	736140	3
6162	Types of transport used (excluding work)	0	0	0	22	11	0	0	1	1	0		100054	100299	2	0	2	0	3	ACE touchscreen question "In the last 4 weeks, which forms of transport have you used most often to get about?  (Not including any journeys to and from work; you can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Remember not to include journeys to and from work.<br></i></td></tr></table><p>~F6162~ was collected from all participants except those who indicated they were unable to walk, as defined by their answers to ~F864~	2012-01-05	2019-03-10	496852	912271	0
6164	Types of physical activity in last 4 weeks	0	0	0	22	11	0	0	1	1	0		100054	100316	2	0	2	0	4	ACE touchscreen question "In the last 4 weeks did you spend any time doing the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Strenuous sports include sports that make you sweat or breathe hard.<br>Heavy DIY includes chopping wood, home or car maintenance, lifting<br>heavy objects or using heavy tools.<br></i></td></tr></table>	2012-01-05	2019-03-10	497107	1262840	0
6177	Medication for cholesterol, blood pressure or diabetes	0	0	0	22	11	0	0	1	1	1		100045	100625	2	0	2	0	2	ACE touchscreen question "Do you regularly take any of the following medications? (you can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you take any of the types of medications,<br>enter Do not know. You will be asked to provide all of the<br>medications that you take later in the visit.<br></i></td></tr></table>	2012-01-05	2019-03-10	227349	295704	1
6179	Mineral and other dietary supplements	0	0	0	22	11	0	0	1	1	0		100045	100630	2	0	2	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2019-03-10	498680	685379	9
6183	Number of cigarettes previously smoked daily (current cigar/pipe smokers)	0	0	0	11	0	0	0	1	0	0		100058	100353	2	0	2	0	0	ACE touchscreen question "About how many cigarettes did you smoke on average each day?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 150 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the total number of cigarettes (including both hand-rolled<br>and manufactured cigarettes if both were smoked)<br>For hand-rolled cigarettes:<br> - One ounce of tobacco makes about 30 cigarettes<br> - One gram of tobacco makes about 1 cigarette<br></i></td></tr></table><p>~F6183~ was collected from participants who indicated they currently smoke cigars and pipes, as defined by their answers to ~F3446~ and previously smoked cigarettes on most or all days, as defined by their answers to ~F3446~	2012-01-05	2019-03-07	1807	1863	3040
6194	Age stopped smoking cigarettes (current cigar/pipe or previous cigarette smoker)	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	2	0	0	ACE touchscreen question "How old were you when you last smoked cigarettes on most days?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>~F6194~ was collected from participants who indicated they currently smoke cigars and pipes, as defined by their answers to ~F3446~ and previously smoked cigarettes on most or all days, as defined by their answers to ~F3446~	2012-01-05	2019-03-07	1807	1863	3030
6205	Which eye(s) affected by strabismus (squint)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	2	0	0	ACE touchscreen question "Which eye(s) are affected by strabismus (squint)?"<p>~F6205~ was collected from participants who indicated they wear glasses or contact lenses to correct their strabismus, as defined by their answers to ~F6147~	2012-01-05	2019-03-10	2866	3101	8
6218	Impedance of whole body, manual entry	0	0	0	11	0	0	1	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09	2015-08-21	28	28	430
6219	Impedance of leg, manual entry (right)	0	0	0	11	0	0	1	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09	2015-08-21	28	28	470
6220	Impedance of leg, manual entry (left)	0	0	0	11	0	0	1	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09	2015-08-21	28	28	460
6221	Impedance of arm, manual entry (right)	0	0	0	11	0	0	1	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09	2015-08-21	28	28	450
6222	Impedance of arm, manual entry (left)	0	0	0	11	0	0	1	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09	2015-08-21	28	28	440
6312	Value entered	0	2	0	21	11	0	0	0	1	0		503	6312	0	2	2	0	17	This field contains the values the participant entered when shown each puzzle.	2017-06-15	2019-03-10	20181	266006	120
6313	Duration to entering selection	1	2	0	11	0	0	0	0	1	0	deciseconds	503	0	0	2	2	0	17	This is the time interval between the participant being able to make a selection and them actually doing so.	2017-06-15	2019-03-10	20181	266006	130
6314	Word/picture group used for each round	1	2	0	22	11	0	1	0	1	0		504	6314	0	2	2	0	29	The challenge for each round consisted of a single Word and Four pictures. This field is an index identifying the Word and linking to the picture sets illustrated in ~R666~.	2017-06-09	2019-03-10	20464	509830	120
6315	Picture selected for each round	1	2	0	22	11	0	0	0	1	0		504	6315	0	2	2	0	29	Picture selected for each round	2017-06-09	2019-03-10	20516	511094	130
6317	Duration of selection in each round	1	2	0	11	0	0	0	0	1	0	milliseconds	504	0	0	2	2	0	29	This is the time that a participant looked at each word/picture group before selecting their best match.	2017-06-09	2019-03-10	20464	509830	140
6332	Item selected for each puzzle	0	2	0	22	11	0	0	0	1	0		501	6332	0	2	2	0	14	This indicates the item selected for each puzzle as illustrated in ~R15~. <br>For puzzles which had 6 options the codes 0-5 correspond to the following layout: <p> 0 1 2 <br> 3 4 5 <p> For puzzles which had 8 options the codes 0-7 correspond to the following layout: <p> 0 1 2 3 <br> 4 5 6 7 <p> If a participant answered all 15 puzzles correctly the sequence would be: 3,2,5,0,3,5,0,5,3,0,7,1,4,2,6	2017-06-08	2019-03-10	20366	267126	120
6333	Duration spent answering each puzzle	0	2	0	11	0	0	0	0	1	0	deciseconds	501	0	0	2	2	0	14	This is an array of values, one for each puzzle answered, detailing how long the participant spent looking at a puzzle before selecting their answer. <p> Some values are zero indicating a response time of less than 0.1 seconds, which is below the realistic minimum time for mentally processing the picture and deciding which image to touch. Such values are assumed to be due to a participant hovering a finger over the screen and accidentally making contact with it when the puzzle first appears.	2017-06-08	2019-03-10	20366	267126	130
6334	Screen layout	0	2	0	41	0	0	0	0	1	0		100030	0	0	2	2	1	3	This field describes the screen layout of the pairs test displayed to the participant (the layouts were generated randomly so differ between participants). It is a sequence of values like <p> [a,b]=c <p> where a,b are the co-ordinates on the screen of a card and c is an index describing the face pattern. <p> The layout was only captured from late 2016 onwards so is not available for most of the pairs result sets.	2017-06-07	2019-03-10	20610	53961	140
6348	Duration to complete numeric path (trail #1)	0	2	0	11	0	0	0	0	0	0	deciseconds	505	1990	0	2	2	0	0	Duration to complete numeric path (trail #1)	2017-06-14	2019-03-10	20610	20610	100
6349	Total errors traversing numeric path (trail #1)	0	2	0	11	0	0	0	0	0	0	error-count	505	0	0	2	2	0	0	Total errors made while traversing numeric path. A zero value here does not indicate that the participant completed the trail without problems as it is possible they abandoned during the process prior to making any mistakes - see ~F6348~ to determine whether they actually completed the trail.	2017-06-14	2019-03-10	20610	20610	120
6350	Duration to complete alphanumeric path (trail #2)	0	2	0	11	0	0	0	0	0	0	deciseconds	505	1990	0	2	2	0	0	Duration to complete alphanumeric path (trail #2)	2017-06-14	2019-03-10	20610	20610	110
6351	Total errors traversing alphanumeric path (trail #2)	0	2	0	11	0	0	0	0	0	0	error-count	505	0	0	2	2	0	0	Total errors traversing alphanumeric path (trail #2). A zero value here does not indicate that the participant completed the trail without problems as it is possible they abandoned during the process prior to making any mistakes - see ~F6350~ to determine whether they actually completed the trail.	2017-06-14	2019-03-10	20610	20610	130
6362	First code array presented	0	2	0	21	11	0	2	0	0	0		502	500	0	2	2	0	0	The tests were described by an outer array of 32 symbol-digit arrays each containing the digits 0-7. To present some element of unpredictability between participants, each run of the program chose a random starting point in the outer array and presented tests from that point onwards (looping back to the origin if required). The outer array was zero-indexed, so that a value of 0 in this field means that the first symbol-digit array was used for the Coding array. <p> To illustrate, suppose a participant was allocated the value 5 for their start array. Then round 1 would use Array 4 [values 4,5,1,3,7,2,6,0] for the Code and Array 5 [3,5,2,0,4,6,1,7] for the Test. Round 2 would still use Array 4 for the Code but Array 6 [6,3,7,2,4,5,0,1] for the test etc. <p>The test arrays are listed below, and also in ~C500~ with the symbol dictionary shown in ~R111~. <p> 0) 5,0,3,6,1,2,4,7 <br> 1) 1,3,5,7,4,6,0,2 <br> 2) 4,5,6,7,3,0,2,1 <br> 3) 1,4,6,7,2,3,0,5 <br> 4) 4,5,1,3,7,2,6,0 <br> 5) 3,5,2,0,4,6,1,7 <br> 6) 6,3,7,2,4,5,0,1 <br> 7) 1,4,5,6,0,7,2,3 <br> 8) 3,4,2,5,6,0,7,1 <br> 9) 2,5,3,0,7,1,6,4 <br> 10) 3,6,4,1,0,5,7,2 <br> 11) 5,3,2,0,4,1,7,6 <br> 12) 2,3,4,1,7,5,0,6 <br> 13) 4,3,1,5,2,0,6,7 <br> 14) 3,5,0,1,4,7,2,6 <br> 15) 4,2,1,0,6,7,5,3 <br> 16) 0,2,3,7,1,4,6,5 <br> 17) 7,1,2,4,0,6,5,3 <br> 18) 5,1,7,3,2,4,0,6 <br> 19) 7,6,4,5,0,2,3,1 <br> 20) 2,6,1,4,5,7,0,3 <br> 21) 4,0,6,1,3,7,5,2 <br> 22) 5,6,0,7,3,2,1,4 <br> 23) 6,5,1,3,0,4,7,2 <br> 24) 4,1,7,2,5,6,3,0 <br> 25) 5,2,0,6,7,4,1,3 <br> 26) 3,0,5,6,7,2,4,1 <br> 27) 3,2,5,4,7,0,6,1 <br> 28) 0,6,7,5,1,2,3,4 <br> 29) 4,3,1,0,6,5,2,7 <br> 30) 5,4,6,7,1,0,2,3 <br> 31) 0,4,7,2,3,1,5,6 <p>The first round (attempts 0-7) used a constant fixed pattern [2,4,6,1,3,5,7,0] for the Code Array and [7,1,5,4,6,0,3,2] for the test Array for all participants.	2017-06-14	2019-03-10	21482	21482	120
6364	Vocabulary level	1	2	0	31	0	0	0	0	0	0		504	0	0	2	2	0	0	This is the final estimate of the participant's vocabulary level, at the end of the test. It ranges between -11 (most basic) and 11 (most complex) . ~F6365~ gives the Standard Error associated with this estimated value.	2017-06-09	2019-03-10	20373	20373	100
6365	Uncertainty in vocabulary level	1	2	0	31	0	0	0	0	0	0		504	0	0	2	2	0	0	This is the Standard Error (corresponding to the MLE calculation) in the final estimate of the participant's vocabulary level as given in ~F6364~.	2017-06-09	2019-03-10	20373	20373	110
6373	Number of puzzles correctly solved	0	2	0	11	0	0	0	0	0	0	correct-answers	501	0	0	2	2	0	0	This is the number of puzzles for which the participant gave the correct solution. It should be used in conjunction with ~F6374~ which describes the number of puzzles attempted. The range is 0-15.	2017-06-08	2019-03-10	20367	20367	100
6374	Number of puzzles viewed	0	2	0	11	0	0	0	0	0	0	attempts	501	0	0	2	2	0	0	This is the number of puzzles which the participant viewed irrespective of whether they supplied any answer (though the were unable to progress to the next puzzle without supplying an answer). The range is 0-15. <p> If the participant did not attempt all 15 puzzles then this value is likely to be greater than the number of entries for ~F6332~ and ~F6333~ as it will usually include a last puzzle which was viewed by the participant but for which an answer was not selected within the overall time limit.	2017-06-08	2019-03-10	20367	20367	110
6382	Number of puzzles correct	0	2	0	11	0	0	0	0	0	0	correct-answers	503	0	0	2	2	0	0	Number of puzzles correct	2017-06-15	2019-03-10	20610	20610	100
6383	Number of puzzles attempted	0	2	0	11	0	0	0	0	0	0	attempts	503	0	0	2	2	0	0	This is the number of puzzles which the participant viewed irrespective of whether they supplied any answer (though the were unable to progress to the next puzzle without supplying an answer) <p> If the participant did not attempt all 18 puzzles then this value is likely to be greater than the number of entries for ~F6312~ and ~F6313~ as it will usually include a last puzzle which was viewed by the participant but for which an answer was not selected within the overall time limit.	2017-06-15	2019-03-10	20610	20610	110
6448	Word associated with "huge"	1	2	0	21	11	0	0	0	0	0		506	6448	0	2	2	0	0	The correct word associated with "huge" was "trousers".	2017-06-07	2019-03-10	20610	20610	110
6459	Word associated with "happy"	1	2	0	21	11	0	0	0	0	0		506	6459	0	2	2	0	0	The correct word associated with "happy" was "dog".	2017-06-07	2019-03-10	20610	20610	120
6470	Word associated with "tattered"	1	2	0	21	11	0	0	0	0	0		506	6470	0	2	2	0	0	The correct word associated with "tattered" was "dress".	2017-06-07	2019-03-10	20610	20610	130
6481	Word associated with "old"	1	2	0	21	11	0	0	0	0	0		506	6481	0	2	2	0	0	The correct word associated with "old" was "house".	2017-06-07	2019-03-10	20610	20610	140
6492	Word associated with "long"	1	2	0	21	11	0	0	0	0	0		506	6492	0	2	2	0	0	The correct word associated with "long" was "curtains".	2017-06-07	2019-03-10	20610	20610	150
6503	Word associated with "red"	1	2	0	21	11	0	0	0	0	0		506	6503	0	2	2	0	0	The correct word associated with "red" was "car".	2017-06-07	2019-03-10	20610	20610	160
6514	Word associated with "sulking"	1	2	0	21	11	0	0	0	0	0		506	6514	0	2	2	0	0	The correct word associated with "sulking" was "elephant".	2017-06-07	2019-03-10	20610	20610	170
6525	Word associated with "pretty"	1	2	0	21	11	0	0	0	0	0		506	6525	0	2	2	0	0	The correct word associated with "pretty" was "dish".	2017-06-07	2019-03-10	20610	20610	180
6536	Word associated with "tiny"	1	2	0	21	11	0	0	0	0	0		506	6536	0	2	2	0	0	The correct word associated with "tiny" was "cat".	2017-06-07	2019-03-10	20610	20610	190
6547	Word associated with "new"	1	2	0	21	11	0	0	0	0	0		506	6547	0	2	2	0	0	The correct word associated with "new" was "plant".	2017-06-07	2019-03-10	20610	20610	200
6671	Number of antibiotics taken in last 3 months	0	3	0	11	0	0	0	0	0	0		100075	0	0	2	2	0	0	Number of antibiotics taken	2018-11-09	2019-03-10	19959	19959	130
6770	Errors before selecting correct item in numeric path (trail #1)	0	2	0	11	0	0	3	0	1	0	error-count	505	0	0	2	2	0	23	Errors before selecting a particular correct item in numeric path (trail #1). Only values greater than zero are recorded. <p>It is possible that the value recorded here is less than the sum of the values in ~F6349~ since this field does not count mistakes made on the latest circle when the trail timed-out before it was correctly selected.	2017-06-14	2019-03-10	6261	7636	160
6771	Errors before selecting correct item in alphanumeric path (trail #2)	0	2	0	11	0	0	3	0	1	0	error-count	505	0	0	2	2	0	23	Errors before selecting a particular correct item in alphanumeric path (trail #2). Only values greater than zero are recorded. <p>It is possible that the value recorded here is less than the sum of the values in ~F6351~ since this field does not count mistakes made on the latest circle when the trail timed-out before it was correctly selected.	2017-06-14	2019-03-10	8781	15232	170
6772	Interval between previous point and current one in numeric path (trail #1)	0	2	0	11	0	0	3	0	1	0	deciseconds	505	0	0	2	2	0	24	Interval between previous point and current one in numeric path (trail #1). Note that these intervals are unlikely to sum to ~F6348~ due to rounding truncation. <p> If a participant did not complete the trail (as indicated by a zero in ~F6348~) then the number of results for this field will be smaller than the length (25) of the trail.	2017-06-14	2019-03-10	20452	510493	140
6773	Interval between previous point and current one in alphanumeric path (trail #2)	0	2	0	11	0	0	3	0	1	0	milliseconds	505	0	0	2	2	0	24	Interval between previous point and current one in alphanumeric path (trail #2). Note that these intervals are unlikely to sum to ~F6350~ due to rounding truncation. <p> If a participant did not complete the trail (as indicated by a zero in ~F6350~) then the number of results for this field will be smaller than the length (25) of the trail.	2017-06-14	2019-03-10	20382	502326	150
10004	Medication for pain relief, constipation, heartburn (pilot)	0	0	0	22	11	0	0	0	1	0		100045	100688	2	0	0	0	4	ACE touchscreen question "Do you regularly take any of the following over-the-counter medications? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Some over the counter medicines are known by other names. Please enter<br>the corresponding name if you take any of the following REGULARLY<br>(that is, most days of the week for the last 4 weeks):<br><br>Aspirin: Alka Rapid Crystals, Alka-Seltzer XS, Anadin Extra, Anadin<br>  Original, Askit powders, Aspro Clear, Codis 500, Disprin, Disprin Extra<br><br>Ibuprofen: Anadin Ultra, Anadin Ibuprofen, Cuprofen Plus, Nurofen, <br>  Solpaflex, Ibuleve<br><br>Paracetamol: Anadin Extra, Hedex Extra, Panadol, Paracodol, Paramol,<br>  Solpadeine, Syndol, Veganin, Feminax, Midrid, Migraleve<br><br>Codeine: Codis 500, Cuprofen Plus, Nurofen Plus, Panadol Ultra,<br>  Paracodol, Paramol, Solpadeine Max, Sopadeine Plus, Solpafelx, Syndol,<br>  Veganin, Feminax, Migraleve<br></i></td></tr></table>	2012-01-05	2012-01-05	3775	4465	5
10005	Medication for smoking cessation, constipation, heartburn, allergies (pilot)	0	0	0	22	11	0	0	0	1	0		100045	100689	2	0	0	0	2	ACE touchscreen question "Do you regularly take any of the following over-the-counter medications? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2012-01-05	3775	3829	6
10006	Mouth/teeth dental problems (pilot)	0	0	0	22	11	0	0	0	1	0		100046	100685	2	0	0	0	3	ACE touchscreen question "In the last year have you experienced any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2012-01-05	3775	4346	2
10007	Vitamin and mineral supplements (pilot)	0	0	0	22	11	0	0	0	1	0		100045	100692	2	0	0	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2012-01-05	3775	4924	8
10016	Regular use of hands-free device/speakerphone with mobile phone (pilot)	0	0	0	21	11	0	0	0	0	0		100053	100349	2	0	0	0	0	ACE touchscreen question "Do you use a hands-free device/speakerphone regularly, i.e. for more than half the calls you make or receive on a mobile phone?"	2012-01-05	2012-01-05	2954	2954	4
10105	Internet user (pilot)	0	0	0	21	11	0	0	0	0	0		100053	100352	2	0	0	0	0	ACE touchscreen question "Do you use the internet?"	2012-01-05	2012-01-05	3775	3775	10
10114	Willing to be contacted by email (pilot)	0	0	0	21	11	0	0	0	0	0		100053	100352	2	0	0	0	0	ACE touchscreen question "Would you be willing for the study organisers to contact you in the future by email?" <p> This question was asked in the Pilot assessment centre (2006) only to gauge the best methods for re-contacting participants.	2012-01-05	2012-01-05	3775	3775	11
10115	Why stopped smoking (pilot)	0	0	0	21	11	0	0	0	0	0		100058	100669	2	0	0	0	0	ACE touchscreen question "Why did you stop smoking?"	2012-01-05	2012-01-05	934	934	3180
10132	Type of progestan-only oral contraceptive used (pilot)	0	0	0	21	11	0	0	0	0	2		100069	100686	2	0	0	0	0	ACE touchscreen question "Are you NOW taking any of the following?"	2012-01-05	2012-01-05	44	44	21
10133	Number of columns displayed in round (pilot)	0	0	0	11	0	0	2	0	1	0		100030	0	2	0	0	1	3		2012-01-05	2012-01-05	3717	11151	160
10134	Number of rows displayed in round (pilot)	0	0	0	11	0	0	2	0	1	0		100030	0	2	0	0	1	3		2012-01-05	2012-01-05	3717	11151	180
10136	Number of correct matches in round (pilot)	0	0	0	11	0	0	0	0	1	0		100030	0	2	0	0	1	3	This is the number of correct matches in the round. It should always be 3 for a 2x3 game and 6 for a 3x4 game, unless the participant abandoned before finishing.	2012-01-05	2012-01-05	3717	11151	200
10137	Number of incorrect matches in round (pilot)	0	0	0	11	0	0	0	0	1	0		100030	0	2	0	0	1	3	A value of 0 indicates the participant made no mistakes.	2012-01-05	2012-01-05	3717	11151	110
10138	Time to complete round (pilot)	0	0	0	11	0	0	0	0	1	0	deciseconds	100030	402	2	0	0	1	3		2012-01-05	2012-01-05	3717	11151	130
10139	Index for card A in round (pilot)	0	0	0	21	11	0	2	0	1	0		100032	92	2	0	0	0	19		2012-01-05	2012-01-05	3717	74340	2
10140	Index for card B in round (pilot)	0	0	0	21	11	0	2	0	1	0		100032	92	2	0	0	0	19		2012-01-05	2012-01-05	3717	74340	4
10141	Number of times snap-button pressed (pilot)	0	0	0	11	0	0	0	0	1	0		100032	0	2	0	0	0	19	This indicates the number of times the snap-button was pressed (i.e. the user indicated the cards matched) in each round.	2012-01-05	2012-01-05	3717	74340	6
10142	Number of columns displayed (pilot)	0	0	0	11	0	0	2	0	1	0		100028	0	2	0	0	1	3	This is the number of columns in the lights memory test.	2012-01-05	2012-01-05	3717	11151	1
10143	Number of rows displayed (pilot)	0	0	0	11	0	0	2	0	1	0		100028	0	2	0	0	1	3	This is the number of rows in the lights memory test.	2012-01-05	2012-01-05	3717	11151	2
10144	Time taken to complete lights test (pilot)	0	0	0	11	0	0	0	0	1	0	deciseconds	100028	0	2	0	0	1	3		2012-01-05	2012-01-05	3717	11151	5
10145	Pattern of lights displayed (pilot)	0	0	0	41	0	0	0	0	1	0		100028	0	2	0	0	1	3		2012-01-05	2012-01-05	3717	11151	3
10146	Pattern of lights as remembered (pilot)	0	0	0	41	0	0	0	0	1	0		100028	0	2	0	0	1	3		2012-01-05	2012-01-05	3717	11151	4
10147	Duration to first press of snap-button in each round (pilot)	0	0	0	11	0	0	0	0	1	0	milliseconds	100032	0	2	0	0	0	19	This gives the interval between the cards being displayed and the participant pressing the snap-button to indicate a match. Note that the time is recorded regardless of whether the cards shown formed a matching pair. Fields ~F10139~ and ~F10140~ need to be compared to determine if the cards were the same. <p>Each pair was displayed for 2 seconds, followed by a 1 second gap. If the button-press occurred during a gap then it was recorded against the previous pair, giving a value in the range 2001-2999ms.	2012-01-05	2012-07-06	3704	30045	8
10241	Touchscreen duration (pilot)	0	0	0	11	0	0	2	0	0	0	deciseconds	152	0	2	0	0	0	0	The Pilot touchscreen questionnaire did not included the cognitive assessments and contained fewer 'ordinary' questions than the subsequent Main study versions.	2012-01-05	2012-01-05	3717	3717	0
10609	Words answer array (pilot)	0	0	0	11	0	0	0	0	1	0		100077	0	2	0	0	0	50	Words answer array.	2012-01-05	2012-01-05	3744	67167	0
10610	Word count (pilot)	0	0	0	21	11	0	0	0	0	0		100077	100280	2	0	0	0	0	Word count<p>Participant's were told <p><i> Now I would you to tell me as many different words as you can think of beginning with the letter `S'. Please do not include people's names or place names. You have one minute to do this. Ready, go! </i> <p> The number of distinct valid words they spoke was recorded in this field by the staff member clicking a button as each new one was spoken. <p> If a participant stalled before the end of the timed minute, they were prompted with the verbal message <p><i> I want you to tell me as many words as you can think of beginning with the letter `S'.</i>	2012-01-05	2012-01-05	3749	3749	0
10612	Number of words beginning with 'S' (pilot)	0	0	0	11	0	0	0	0	0	0	words	100077	100696	2	0	0	0	0	Number of words beginning with 'S', or -1 if abandoned	2012-01-05	2012-01-05	3749	3749	0
10691	Result ranking (pilot)	0	0	0	21	11	0	0	0	1	0		100020	22	2	0	0	1	4	How good was each blow; 1=best; 3=worst	2012-01-05	2012-01-05	3421	10192	240
10693	Acceptability of each blow result (pilot)	0	0	0	11	0	0	2	0	1	0		100020	0	2	0	0	1	4	Acceptability of spirometry result (bit field)<p>START_OF_TEST Set if the extrapolated volume at start of test is excessive = 0x01<br>TIME_TO_PEF Set if time to peak flow is excessive = 0x02<br>END_OF_TEST Set if an adequate plateau at the end of the test does not exist = 0x04<br>COUGHING Set if a cough was detected during the manovoure = 0x08<br>TEST_DURATION Set if the test is less than 6 seconds = 0x10<br>USER_ACCEPTED Specifies whether or not the test was explicitly acceped by the investigator = 0x20<br>USER_REJECTED Specifies whether or not the test was explicitly rejected by the investigator = 0x40<p>Hence a decimal value of 24 (0x08+0x10) indicates a test of less than 6 seconds during which a cough was detected.	2012-01-05	2012-01-05	3421	10192	290
10694	Forced vital capacity (FVC) (pilot)	0	0	0	31	0	0	0	0	1	0	litres	100020	0	2	0	0	1	4	FVC value calculated from blow	2012-01-05	2012-01-05	3421	10192	310
10695	Forced expiratory volume in 1-second (FEV1) (pilot)	0	0	0	31	0	0	0	0	1	0	litres	100020	0	2	0	0	1	4	FEV1 value calculated from blow	2012-01-05	2012-01-05	3421	10192	350
10696	Peak expiratory flow (PEF) (pilot)	0	0	0	11	0	0	0	0	1	0		100020	0	2	0	0	1	4	Peak expiratory flow during blow	2012-01-05	2012-01-05	3421	10192	420
10697	Data points for blow (pilot)	0	0	0	101	0	0	0	0	1	0		100020	0	2	0	0	1	4		2012-01-05	2013-02-19	3421	10192	270
10711	Spirometry method (pilot)	0	0	0	21	11	0	0	0	0	0		100020	100282	2	0	0	0	0		2012-01-05	2012-01-05	3435	3435	260
10714	Spirometry device serial number (pilot)	0	0	0	41	0	0	2	0	0	0		100020	0	2	0	0	0	0		2012-01-05	2012-01-05	3430	3430	460
10717	Number of measurements made (pilot)	0	0	0	11	0	0	1	0	0	0		100020	0	2	0	0	0	0	Number of sets of spirometry results collected from the device	2012-01-05	2012-01-05	3430	3430	200
10721	Illness, injury, bereavement, stress in last 2 years (pilot)	0	0	0	22	11	0	0	0	1	0		100060	100683	2	0	0	0	4	ACE touchscreen question "In the last 2 years have you experienced any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2012-01-05	3775	4347	38
10722	Qualifications (pilot)	0	0	0	22	11	0	0	0	1	0		100063	100658	2	0	0	0	4	ACE touchscreen question "Which of the following qualifications do you have? (You can select more than one)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i> - A levels/AS levels and equivalent includes the Higher<br>   School Certificate.<br><br> - O levels/GCSEs and equivalent includes the School Certificate.<br></i></td></tr></table>	2012-01-05	2012-01-05	3775	6201	2
10723	Vitamin supplements (pilot)	0	0	0	22	11	0	0	0	1	0		100045	100691	2	0	0	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2012-01-05	3775	4482	10
10740	Frequency of friend/family visits (pilot)	0	0	0	21	11	0	0	0	0	0		100061	100662	2	0	0	0	0	ACE touchscreen question "How often do you visit friends or family or have them visit you?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies, please give an average of how often<br>you visit or have had visits in the last year.<br>Include meeting with friends or family in environments<br>outside of the home such as in the park, at a sports<br>field, at a restaurant or pub.<br></i></td></tr></table>	2012-01-05	2012-01-05	3775	3775	2
10749	Time using mobile phone in last 3 months (pilot)	0	0	0	21	11	0	0	0	0	0		100053	100663	2	0	0	0	0	ACE touchscreen question "Over the last 3 months, on average how much time per week did you spend making or receiving calls on a mobile phone?"	2012-01-05	2012-01-05	2954	2954	3
10767	Spread type (pilot)	0	0	0	21	11	0	0	0	0	0		100052	100673	2	0	0	0	0	ACE touchscreen question "What type of spread do you mainly use?"	2012-01-05	2012-01-05	3775	3775	19
10776	Bread type/intake (pilot)	0	0	0	21	11	0	0	0	0	0		100052	100674	2	0	0	0	0	ACE touchscreen question "What type of bread do you mainly eat?"	2012-01-05	2012-01-05	3658	3658	22
10793	Hearing difficulty/problems (pilot)	0	0	0	21	11	0	0	0	0	0		100043	100349	2	0	0	0	0	ACE touchscreen question "Do you have any difficulty with your hearing?"	2012-01-05	2012-01-05	3775	3775	2
10818	Reason for reducing amount of alcohol drunk (pilot)	0	0	0	21	11	0	0	0	0	0		100051	100669	2	0	0	0	0	ACE touchscreen question "Why did you reduce the amount you drank?"	2012-01-05	2012-01-05	1516	1516	18
10827	Ever stopped smoking for 6+ months (pilot)	0	0	0	21	11	0	0	0	0	0		100058	100668	2	0	0	0	0	ACE touchscreen question "In the time that you smoked, did you ever stop for more than 6 months?"	2012-01-05	2012-01-05	934	934	3160
10844	Gestational diabetes only (pilot)	0	0	0	21	11	0	0	0	0	2		100044	100349	2	0	0	0	0	ACE touchscreen question "Did you only have diabetes during pregnancy?"	2012-01-05	2012-01-05	63	63	14
10853	Reason former drinker stopped drinking alcohol (pilot)	0	0	0	21	11	0	0	0	0	0		100051	100669	2	0	0	0	0	ACE touchscreen question "Why did you stop drinking?" <br> Former drinkers were asked why they stopped drinking alcohol.	2012-01-05	2012-01-05	139	139	20
10854	Other dietary supplements (pilot)	0	0	0	22	11	0	0	0	1	0		100045	100690	2	0	0	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2012-01-05	3775	4188	11
10855	Never eat eggs, dairy, wheat, sugar (pilot)	0	0	0	22	11	0	0	0	1	0		100052	100672	2	0	0	0	3	ACE touchscreen question "Which of the following do you NEVER eat? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code 5 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05	2012-01-05	3775	3943	14
10860	Gas or solid-fuel cooking/heating (pilot)	0	0	0	22	11	0	0	0	1	0		100066	100656	2	0	0	0	2	ACE touchscreen question "Do you have any of the following in your home? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>A gas cooker is where your cooker has a gas hob and gas<br>oven.<br>Solid fuel refers to wood or coal.<br>'Regular use' is when you use this for most days of the<br>week in the winter time.<br></i></td></tr></table>	2012-01-05	2012-01-05	3775	4386	4
10877	Average total household income before tax (pilot)	0	0	0	21	11	0	0	0	0	0		100066	100657	2	0	0	0	0	ACE touchscreen question "What is the average total income before tax received by your HOUSEHOLD?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure of annual household income here are<br>the weekly and monthly equivalents:<br><br>Annual    Monthly   Weekly<br><br>less than &pound;18,000  less than &pound;1,500  less than &pound;350<br>&pound;18,000 to &pound;29,999  &pound;1,500 to &pound;2,499  &pound;350 to &pound;576<br>&pound;30,000 to &pound;51,999  &pound;2,500 to &pound;4,300  &pound;577 to &pound;1000<br>&pound;52,000 to &pound;100,000  &pound;4,300 to &pound;8,300  &pound;1000 to &pound;1,900<br>greater than &pound;100,000  greater than &pound;8,300  greater than &pound;1,900 <br></i></td></tr></table>	2012-01-05	2012-01-05	3755	3755	11
10886	Difference in mobile phone use compared to one year previously (pilot)	0	0	0	21	11	0	0	0	0	0		100053	100664	2	0	0	0	0	ACE touchscreen question "Is there any difference between your mobile phone use now compared to one year ago?"	2012-01-05	2012-01-05	2954	2954	7
10895	Light smokers, at least 100 smokes in lifetime (pilot)	0	0	0	21	11	0	0	0	0	0		100058	100352	2	0	0	0	0	ACE touchscreen question "In your lifetime, have you smoked a total of at least 100 cigarettes or equivalent?"	2012-01-05	2012-01-05	935	935	100
10912	Variation in diet (pilot)	0	0	0	21	11	0	0	0	0	0		100052	100394	2	0	0	0	0	ACE touchscreen question "Does your diet vary much from week to week?"	2012-01-05	2012-01-05	3775	3775	33
10953	Duration of walks (pilot)	0	0	0	21	11	0	0	0	0	0		100054	100659	2	0	0	0	0	ACE touchscreen question "How much time do you usually spend walking on one of those days? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend walking on each day of<br>the week varies a lot, give an average of the time you<br>spend walking. For instance if on one day of the week<br>you usually walk for 4 hours but on the other day you<br>walk 2 hours then give the average - that is 3 hours.<br></i></td></tr></table>	2012-01-05	2012-01-05	3639	3639	0
10962	Duration of moderate physical activity (pilot)	0	0	0	21	11	0	0	0	0	0		100054	100659	2	0	0	0	0	ACE touchscreen question "How much time do you usually spend doing moderate physical activities on one of those days? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing moderate physical<br>activity on each day of the week varies a lot, give an<br>average of the time you spend doing moderate physical<br>activity.<br></i></td></tr></table>	2012-01-05	2012-01-05	3048	3048	0
10971	Duration of vigorous physical activity (pilot)	0	0	0	21	11	0	0	0	0	0		100054	100659	2	0	0	0	0	ACE touchscreen question "How much time do you usually spend doing vigorous physical activities on one of those days? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing vigorous physical<br>activity on each day of the week varies a lot, give an<br>average of the time you spend doing vigorous physical<br>activity.<br></i></td></tr></table>	2012-01-05	2012-01-05	1981	1981	0
12139	Believed safe to perform brain MRI scan	0	2	0	21	11	0	0	0	0	0		100	634	2	2	2	0	0	A trained nurse interviewed the participant about their medical history (for instance metallic implants) and declared whether or not they believed it was safe for the participant to undergo the Brain MRI scan on the basis of the information they were given.	2015-09-02	2019-03-10	35639	35639	100
12140	Believed safe to perform abdominal MRI scan	0	2	0	21	11	0	0	0	0	0		105	634	2	2	2	0	0	A trained nurse interviewed the participant about their medical history (for instance metallic implants) and declared whether or not they believed it was safe for the participant to undergo the Abdominal MRI scan on the basis of the information they were given.	2015-09-02	2019-03-10	35639	35639	0
12141	Believed safe to perform DXA scan	0	2	0	21	11	0	0	0	0	0		103	634	2	2	2	0	0	A trained nurse interviewed the participant about their medical history (for instance metallic implants) and declared whether or not they believed it was safe for the participant to undergo the DXA scan on the basis of the information they were given.	2015-09-02	2019-03-10	35639	35639	130
12143	Weight (pre-imaging)	0	2	0	11	0	0	0	0	0	0	Kg	100010	0	2	2	2	0	0	Weight measured prior to imaging stages. Required by DXA device for calibration.	2015-09-02	2019-03-10	35639	35639	0
12144	Height	0	2	0	11	0	0	0	0	0	0	cm	100010	0	2	2	2	0	0	Height measured prior to imaging stages. Required by DXA device for calibration.	2015-09-02	2019-03-10	35639	35639	0
12148	Number of imaging stages blocked at screening	0	2	0	11	0	0	0	0	0	0		100004	0	2	2	2	0	0	This summarises the number of imaging stages (Brain MRI, Chest MRI and DXA) that were judged to be unsafe to perform during the face-to-face screening process in the clinic (participants having been screened initially over the telephone when making their clinic appointment).	2015-09-02	2019-03-10	35639	35639	0
12187	Brain MRI measuring method	0	2	0	21	11	0	0	0	0	0		100	470	2	2	2	0	0	This field indicates whether the participant was able to attempt the brain MRI (direct entry) or was unable to start it due to equipment failure or some other reason.	2015-09-02	2019-03-10	34941	34941	110
12188	Brain MRI measurement completed	0	2	0	21	11	0	0	0	0	0		100	21	2	2	2	0	0	At the end of the brain MRI process the operator was required to indicate whether they believed the measurement had been performed fully.	2015-09-02	2019-03-10	33476	33476	120
12223	Abdominal MRI measuring method	0	2	0	21	11	0	0	0	0	0		105	470	2	2	2	0	0	.	2015-09-02	2019-03-10	34991	34991	0
12224	Abdominal MRI measurement completed	0	2	0	21	11	0	0	0	0	0		105	7	2	2	2	0	0	.	2015-09-02	2019-03-10	33951	33951	0
12253	DXA measuring method	0	2	0	21	11	0	0	0	0	0		103	470	2	2	2	0	0	.	2015-09-02	2019-03-10	35512	35512	120
12254	DXA measurement completed	0	2	0	21	11	0	0	0	0	0		103	7	2	2	2	0	0	.	2015-09-02	2019-03-10	34383	34383	110
12291	Carotid ultrasound measuring method	0	2	0	21	11	0	0	0	0	0		101	470	2	2	2	0	0	.	2015-09-02	2019-03-10	35452	35452	110
12292	Carotid ultrasound measurement completed	0	2	0	21	11	0	0	0	0	0		101	7	2	2	2	0	0	.	2015-09-02	2019-03-10	34757	34757	100
12323	12-lead ECG measuring method	0	2	0	21	11	0	0	0	0	0		104	470	2	2	2	0	0	.	2015-09-02	2019-03-10	35225	35225	100
12336	Ventricular rate	0	2	0	11	0	0	0	0	0	0	bpm	104	0	2	2	2	0	0	Ventricular rate during ECG measurement.	2015-09-02	2019-03-10	30722	30722	150
12338	P duration	0	2	0	11	0	0	0	0	0	0	ms	104	0	2	2	2	0	0	P duration during ECG	2015-09-02	2019-03-10	28937	28937	160
12340	QRS duration	0	2	0	11	0	0	0	0	0	0	ms	104	0	2	2	2	0	0	QRS duration during ECG measurement	2015-09-02	2019-03-10	30717	30717	200
12352	Reason ECG not performed	0	2	0	41	0	0	0	0	0	0		104	0	2	2	2	0	0	.	2015-09-02	2019-03-10	2204	2204	280
12623	Reason abdominal MRI not completed	0	2	0	41	0	0	0	0	0	0		105	0	2	2	2	0	0	.	2015-09-02	2019-03-10	5390	5390	0
12624	Identifier for blood pressure device	0	2	0	41	0	0	0	0	0	0		102	0	2	2	2	0	0	Identifier for blood pressure device	2015-09-02	2019-03-10	35023	35023	180
12634	Reason carotid ultrasound not performed	0	2	0	41	0	0	0	0	0	0		101	0	2	2	2	0	0	.	2015-09-02	2019-03-10	681	681	120
12651	Duration of eprime test	0	2	0	11	0	0	0	0	0	0	seconds	106	0	2	2	2	0	0	This is the length of time that the eprime test was administered for.	2015-09-02	2019-03-10	29135	29135	210
12652	Reason brain MRI not performed	0	2	0	41	0	0	0	0	0	0		100	0	2	2	2	0	0	.	2015-09-02	2019-03-10	1174	1174	140
12653	ECG automated diagnoses	0	2	0	41	0	0	0	0	1	0		104	0	2	2	2	0	14	ECG automated diagnoses	2015-09-02	2019-03-10	30714	174318	120
12654	Number of automated diagnostic comments recorded during 12-lead ECG	0	2	0	11	0	0	0	0	0	0		104	0	2	2	2	0	0	.	2015-09-02	2019-03-10	30714	30714	140
12657	Suspicious flag for 12-lead ECG	0	2	0	11	0	0	2	0	0	0		104	0	2	2	2	0	0	A value of zero indicates that no process warnings were raised by the automated device during the measurement.	2015-09-02	2015-09-02	1876	1876	110
12658	Identifier for 12-lead ECG device	0	2	0	41	0	0	0	0	0	0		104	0	2	2	2	0	0	Identifier for 12-lead ECG device. An empty value may be recorded in some cases for participants who did not attempt the measurment,	2015-09-02	2019-03-10	35194	35194	270
12663	Reason believed unsafe to perform brain MRI	0	2	0	41	0	0	0	0	0	0		100	0	2	2	2	0	0	.	2015-09-02	2019-03-07	720	720	130
12664	Reason believed unsafe to perform abdominal MRI	0	2	0	41	0	0	0	0	0	0		105	0	2	2	2	0	0	.	2015-09-02	2019-03-07	709	709	0
12671	PWA start time	0	2	0	41	0	0	2	0	1	0		128	0	2	2	2	0	3	Vicorder result examination date	2015-09-02	2019-03-10	29192	58085	290
12673	Heart rate during PWA	0	2	0	11	0	0	0	0	1	0	bpm	128	0	2	2	2	0	3	Heart rate recorded during vicorder run.	2015-09-02	2019-03-10	29186	58011	210
12674	Systolic brachial blood pressure during PWA	0	2	0	11	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	Systolic brachial blood pressure during PWA	2015-09-02	2019-03-10	29010	57114	270
12675	Diastolic brachial blood pressure during PWA	0	2	0	11	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	Diastolic brachial blood pressure during PWA	2015-09-02	2019-03-10	29010	57114	180
12676	Peripheral pulse pressure during PWA	0	2	0	11	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	Peripheral pulse pressure during PWA	2015-09-02	2019-03-10	29006	57093	240
12677	Central systolic blood pressure during PWA	0	2	0	11	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	Central systolic blood pressure during PWA	2015-09-02	2019-03-10	29009	57100	160
12678	Central pulse pressure during PWA	0	2	0	11	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	Central pulse pressure during PWA	2015-09-02	2019-03-10	29006	57093	150
12679	Number of beats in waveform average for PWA	0	2	0	31	0	0	0	0	1	0	beats	128	0	2	2	2	0	3	Number of beats in waveform average for PWA	2015-09-02	2019-03-10	29191	58071	230
12680	Central augmentation pressure during PWA	0	2	0	31	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	Central augmentation pressure during PWA	2015-09-02	2019-03-10	29001	57000	140
12681	Augmentation index for PWA	0	2	0	31	0	0	3	0	1	0	percent	128	0	2	2	2	0	3	Augmentation index for PWA. Defined as <br> <i>Central augmentation pressure</i> / <i>peripheral pulse pressure</i> <br>with result expressed as percentage.	2015-09-02	2019-03-10	29186	57974	100
12682	Cardiac output during PWA	0	2	0	31	0	0	0	0	1	0	litres/min	128	0	2	2	2	0	3	Cardiac output during PWA	2015-09-02	2019-03-10	28488	54908	130
12683	End systolic pressure during PWA	0	2	0	31	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	End systolic pressure during PWA	2015-09-02	2019-03-10	28936	56959	190
12684	End systolic pressure index during PWA	0	2	0	31	0	0	0	0	1	0		128	0	2	2	2	0	3	End systolic pressure index during PWA. Defined as <br><i>end systolic pressure</i> / <i>peripheral pulse pressure</i> <br>	2015-09-02	2019-03-10	28468	54915	200
12685	Total peripheral resistance during PWA	0	2	0	31	0	0	0	0	1	0	PRU	128	0	2	2	2	0	3	Total peripheral resistance during PWA	2015-09-02	2019-03-10	28935	56929	280
12686	Stroke volume during PWA	0	2	0	11	0	0	0	0	1	0	ml	128	0	2	2	2	0	3	Stroke volume during PWA	2015-09-02	2019-03-10	28493	54953	250
12687	Mean arterial pressure during PWA	0	2	0	11	0	0	0	0	1	0	mmHg	128	0	2	2	2	0	3	Mean arterial pressure during PWA. Measured from the area under the aortic waveform.	2015-09-02	2019-03-10	29009	57100	220
12688	Vicorder trace	0	2	0	101	0	0	2	0	0	0		128	0	0	2	2	0	0	Raw data from Vicorder device.	2018-05-14	2019-03-10	29456	29456	320
12695	Blood pressure test start time	0	2	0	41	0	0	2	0	0	0		128	0	2	2	2	0	0	Blood pressure test start time	2015-09-02	2019-03-10	29359	29359	110
12697	Systolic brachial blood pressure	0	2	0	11	0	0	0	0	0	0	mmHg	128	0	2	2	2	0	0	Systolic brachial blood pressure during blood pressure test.	2015-09-02	2019-03-10	29353	29353	260
12698	Diastolic brachial blood pressure	0	2	0	11	0	0	0	0	0	0	mmHg	128	0	2	2	2	0	0	Diastolic brachial blood pressure during blood pressure test.	2015-09-02	2019-03-10	29355	29355	170
12699	Number of PWA tests performed	0	2	0	11	0	0	0	0	0	0	tests	128	0	2	2	2	0	0	Number of PWA tests performed during vicorder run.	2015-09-02	2019-03-10	29456	29456	300
12700	Vicorder results plausible	0	2	0	21	11	0	0	0	0	0		128	7	2	2	2	0	0	Flag indication whether vicorder results are plausible. The results are marked as plausible if the raw csv data is present in the output datastream, and the data for the first PWA test contains values for the Aortic Pulse Pressure and the Augmentation Index.	2015-09-02	2019-03-10	29456	29456	310
12702	Cardiac index during PWA	0	2	0	31	0	0	0	0	1	0	litres/min/m2	128	0	2	2	2	0	3	Cardiac index during PWA. Defined as <br> <i>cardiac output</i> / <i>body surface area</i>	2015-09-02	2019-03-10	28012	53961	120
12704	Reason brain MRI not completed	0	2	0	41	0	0	0	0	0	0		100	0	2	2	2	0	0	.	2015-09-02	2019-03-10	5015	5015	150
12706	Eprime error flag	0	2	0	21	11	0	3	0	0	0		106	100699	2	2	2	0	0	The Eprime test was run on a separate computer to the ICE system. This flag indicates occasions when the ICE computer detected a problem with the remote Eprime system resulting in either partial or no datasets being returned.	2015-09-10	2019-03-07	249	249	220
12848	Reason abdominal MRI not performed	0	2	0	41	0	0	0	0	0	0		105	0	2	2	2	0	0	.	2015-09-11	2019-03-10	692	692	0
12851	Reason DXA not performed	0	2	0	41	0	0	0	0	0	0		103	0	2	2	2	0	0	.	2015-09-11	2019-03-10	427	427	150
12854	Reason DXA not completed	0	2	0	41	0	0	0	0	0	0		103	0	2	2	2	0	0	.	2015-09-11	2019-03-10	1016	1016	140
12868	Reason carotid ultrasound not completed	0	2	0	41	0	0	0	0	0	0		101	0	2	2	2	0	0	.	2015-09-11	2019-03-07	130	130	130
20001	Cancer code, self-reported	0	0	0	22	11	0	3	1	1	0		100074	3	2	0	2	0	5	Code for cancer. If the participant was uncertain of the type of cancer they had had, then they described it to the interviewer (a trained nurse) who attempted to place it within the coding tree. If the cancer could not be located in the coding tree then the interviewer entered a free-text description of it. These free-text descriptions were subsequently examined by a doctor and, where possible, matched to entries in the coding tree. Free-text descriptions which could not be matched with very high probability have been marked as "unclassifiable".	2012-01-12	2019-03-10	44660	51447	0
20002	Non-cancer illness code, self-reported	0	0	0	22	11	0	3	1	1	0		100074	6	2	0	2	0	33	Code for non-cancer illness. If the participant was uncertain of the type of illness they had had, then they described it to the interviewer (a trained nurse) who attempted to place it within the coding tree. If the illness could not be located in the coding tree then the interviewer entered a free-text description of it. These free-text descriptions were subsequently examined by a doctor and, where possible, matched to entries in the coding tree. Free-text descriptions which could not be matched with very high probability have been marked as "unclassifiable". <p> Note that myasthenia gravis appears twice (under codes 1260 and 1437) and both these should be treated identically.	2012-01-12	2019-03-10	383478	1081034	0
20003	Treatment/medication code	0	0	0	22	11	0	0	1	1	0		100075	4	2	0	2	0	47	Code for treatment<p>Negative codes indicate free-text entry.	2012-01-12	2019-03-10	371206	1354706	120
20004	Operation code	0	0	0	22	11	0	3	1	1	0		100076	5	2	0	2	0	31	Code for operation. If the participant was uncertain of the type of operation they had undergone, then they described it to the interviewer (a trained nurse) who attempted to place it within the coding tree. If the operation could not be located in the coding tree then the interviewer entered a free-text description of it. These free-text descriptions were subsequently examined by a doctor and, where possible, matched to entries in the coding tree. Free-text descriptions which could not be matched with very high probability have been marked as "unclassifiable".	2012-01-12	2019-03-10	396975	966300	0
20005	Email access	0	3	0	21	11	0	3	0	0	0		2	1007	0	0	0	0	0	This field indicates how many participants have access to email as deduced from their supplying an email address to UK Biobank.<p>A participant is flagged as having an Unusable address if any of the following are true:<br><ul> <li>The email address held is syntactically incorrect.</li> <li>A bounce-back failure message was received during a newsletter or other mailing to the address from UK Biobank.</li> <li>The participant has asked for their email address to be withdrawn or deleted.</li></ul><p>Note that the actual email addresses are treated with utmost confidentiality by UK Biobank and will not be made available to researchers.	2012-02-13	2012-02-13	317752	317752	120
20006	Interpolated Year when cancer first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	2	0	5	This is the interpolated time when the participant indicated the corresponding cancer was first diagnosed by a doctor, measured in years. <ul> <li>If the participant gave a calendar year, then the best-fit time is half-way through that year. For example if the year was given as 1970, then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is the date at which they were 30years+6months. <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17	2019-03-10	44649	51434	0
20007	Interpolated Age of participant when cancer first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	2	0	5	This is the interpolated time when the participant indicated the corresponding cancer was first diagnosed by a doctor, given as their estimated age. <ul> <li>If the participant gave a calendar year, then the best-fit time is their age at the mid-point of that year. For example if the year was given as 1970, and the participant was born on 1 April 1950, then their age on 1st July 1970 is 20.25</li> then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is 30.5 <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17	2019-03-10	44649	51434	0
20008	Interpolated Year when non-cancer illness first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	2	0	33	This is the interpolated time when the participant indicated the corresponding condition was first diagnosed by a doctor, measured in years. <ul> <li>If the participant gave a calendar year, then the best-fit time is half-way through that year. For example if the year was given as 1970, then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is the date at which they were 30years+6months. <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17	2019-03-10	383448	1080674	0
20009	Interpolated Age of participant when non-cancer illness first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	2	0	33	This is the interpolated time when the participant indicated the corresponding condition was first diagnosed by a doctor, given as their estimated age. <ul> <li>If the participant gave a calendar year, then the best-fit time is their age at the mid-point of that year. For example if the year was given as 1970, and the participant was born on 1 April 1950, then their age on 1st July 1970 is 20.25</li> then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is 30.5 <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17	2019-03-10	383448	1080674	0
20010	Interpolated Year when operation took place	0	0	0	31	0	0	0	1	1	0	years	100076	13	2	0	2	0	31	This is the year when the participant indicated the operation took place.	2012-02-17	2019-03-10	396955	966041	0
20011	Interpolated Age of participant when operation took place	0	0	0	31	0	0	0	1	1	0	years	100076	13	2	0	2	0	31	This is the age participant indicated they were when the corresponding operation took place.	2012-02-17	2019-03-10	396955	966041	0
20012	Method of recording time when cancer first diagnosed	0	0	0	21	11	0	0	1	1	0		100074	14	2	0	2	0	5	Participants were able to record the time the cancer was diagnosed by entering either their age or the year. Some participants recorded an event but were unable to recall the time.	2012-02-20	2019-03-10	44660	51447	0
20013	Method of recording time when non-cancer illness first diagnosed	0	0	0	21	11	0	0	1	1	0		100074	14	2	0	2	0	33	Participants were able to record the time the non-cancer illness was diagnosed by entering either their age or the year. Some participants recorded an event but were unable to recall the time.	2012-02-20	2019-03-10	383478	1081034	0
20014	Method of recording time when operation occurred	0	0	0	21	11	0	0	1	1	0		100076	14	2	0	2	0	31	Participants were able to record the time the operation took place by entering either their age or the year. Some participants recorded an operation but were unable to recall the time.	2012-02-20	2019-03-10	396975	966300	0
20015	Sitting height	0	0	0	31	0	0	3	1	0	0	cm	100010	0	2	0	2	0	0	Distance from rump to crown when sitting, calculated as the difference between ~F51~ and ~F3077~.	2012-03-01	2019-03-10	497148	551193	7
20016	Fluid intelligence score	0	0	0	11	0	0	3	1	0	0	correct-answers	100027	0	2	0	2	0	0	This is a simple unweighted sum of the number of correct answers given to the 13 fluid intelligence questions. Participants who did not answer all of the questions within the allotted 2 minute limit are scored as zero for each of the unattempted questions.	2012-03-28	2019-03-10	197303	218072	0
20018	Prospective memory result	0	0	0	21	11	0	3	1	0	0		100031	18	2	0	2	0	0	This field condenses the results of the prospective memory test into 3 groups. It does not distinguish between people who, at the first attempt, followed the on-screen instruction (thereby giving an incorrect result) and people who remembered to ignore the instruction but did not correctly recall what to do instead. Please see the constituent parts ~F4292~ and ~F4293~ if additional detail is required.	2012-07-02	2019-03-10	203821	225023	0
20019	Speech-reception-threshold (SRT) estimate (left)	0	0	0	31	0	0	3	1	0	0		100049	0	2	0	2	0	0	SRT is the Speech Reception Threshold, defined here as the signal-to-noise ratio at which half of the presented speech can be understood correctly. This was estimated as the value of the last round of the signal-to-noise ratio measurement for participants who completed all 15 rounds of the test (left-ear).	2012-08-08	2019-03-10	195917	216808	0
20021	Speech-reception-threshold (SRT) estimate (right)	0	0	0	31	0	0	3	1	0	0		100049	0	2	0	2	0	0	SRT is the Speech Reception Threshold, defined here as the signal-to-noise ratio at which half of the presented speech can be understood correctly. This was estimated as the value of the last round of the signal-to-noise ratio measurement for participants who completed all 15 rounds of the test (right-ear).	2012-08-08	2019-03-10	195925	216824	0
20022	Birth weight	0	0	0	31	0	0	3	1	0	0	Kg	100072	0	2	0	2	0	0	Participants were asked to enter their own birth-weight.<p>The weight could be entered either in Kg or in Imperial pounds+ounces. Values entered as Imperial units are held in ~F121~ and ~F122~, and their values have been converted into Kg and incorporated into this field.	2012-08-17	2016-11-03	280273	293452	0
20023	Mean time to correctly identify matches	0	0	0	11	0	0	3	1	0	0	milliseconds	100032	0	2	0	2	0	0	This field is the mean duration to first press of snap-button summed over rounds in which both cards matched. It gives a crude measure of the raw processing+reaction speed of a participant. <p> The following data points were excluded when forming the average: <ul><li>Rounds 0-4 were regarded as "training";</li> <li>Times under 50ms must be due to anticipation rather than reaction;</li> <li>Times over 2000ms were ignored as the cards had disappeared by then.</li> </ul><p> Values were rounded to the nearest whole number.	2013-06-06	2019-03-10	496846	549961	0
20024	Job code - deduced	0	0	0	21	11	0	3	0	0	0		100073	2	2	0	0	0	0	These are the SOC scores generated by running the CASCOT program on the free text job codes.	2013-06-07	2013-06-07	14552	14552	0
20025	Time saliva sample collected	0	0	0	61	0	0	2	0	0	0		100096	0	2	0	0	0	0	This was the time that the operator scanned the barcode of the container for the saliva sample.	2012-01-05	2012-03-23	120151	120151	0
20031	Acceptability of each blow result (text)	0	0	0	41	0	0	3	1	1	0		100020	0	2	0	2	0	2	This field presents the data regarding the acceptability of spirometry results as a series of none-or-more text flags for researchers unable to work directly with the raw bit-field information in ~F3061~. The text flags are as follows: <p>START Present if the extrapolated volume at start of test is excessive<br>EXPFLOW Present if time to peak flow is excessive<br>END Present if an adequate plateau at the end of the test does not exist<br>COUGH Present if a cough was detected during the manovoure<br>BELOW6SEC Set if the test is less that 6 seconds<br>ACCEPT Present if the test was explicitly acceped by the investigator<br>REJECT Present if the test was explicitly rejected by the investigator. <p>Bit-field values of 0 are not translated into strings since they correspond to a blow with no flags set.	2012-08-24	2019-03-10	293619	589069	100
20032	Acceptability of each blow result (text) (pilot)	0	0	0	41	0	0	3	0	1	0		100020	0	2	0	0	1	4	This field presents the data regarding the acceptability of spirometry results as a series of none-or-more text flags for researchers unable to work directly with the raw bit-field information in ~F10693~. The text flags are as follows: <p>START Present if the extrapolated volume at start of test is excessive<br>EXPFLOW Present if time to peak flow is excessive<br>END Present if an adequate plateau at the end of the test does not exist<br>COUGH Present if a cough was detected during the manovoure<br>BELOW6SEC Set if the test is less than 6 seconds<br>ACCEPT Present if the test was explicitly acceped by the investigator<br>REJECT Present if the test was explicitly rejected by the investigator. <p>Bit-field values of 0 are not translated into strings since they correspond to a blow with no flags set.	2012-08-25	2012-08-25	2654	6509	120
20033	Home location at assessment - east co-ordinate	0	0	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	2	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F20034~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F20074~ and ~F20075~.	2012-08-28	2018-08-08	497904	544159	0
20034	Home location at assessment - north co-ordinate	0	0	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	2	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F20033~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F20074~ and ~F20075~.	2012-08-28	2018-08-08	497904	544159	0
20035	Time urine sample collected	0	0	0	61	0	0	2	0	0	0		100095	0	2	0	0	0	0	This was the time that the operator scanned the barcode of the container for the urine sample.	2012-01-05	2012-03-23	494804	494804	0
20041	Reason for skipping weight	0	0	0	21	11	0	3	0	0	0		100010	47	2	0	0	0	0	Reason weight measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-10-09	1044	1044	-0.1000000014901161
20042	Reason for skipping spirometry	0	0	0	21	11	0	3	0	0	0		100020	47	2	0	0	0	0	Reason spirometry measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-10-09	2013	2013	110
20043	Reason for skipping grip strength (right)	0	0	0	21	11	0	3	0	0	0		100019	47	2	0	0	0	0	Reason hand grip strength measurement (right hand) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2013-05-23	1628	1628	0.4000000059604645
20044	Reason for skipping grip strength (left)	0	0	0	21	11	0	3	0	0	0		100019	47	2	0	0	0	0	Reason hand grip strength measurement (left hand) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-10-09	1695	1695	-0.1000000014901161
20045	Reason for skipping waist	0	0	0	21	11	0	3	0	0	0		100010	47	2	0	0	0	0	Reason waist measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-10-09	445	445	-0.1000000014901161
20046	Reason for skipping hip measurement	0	0	0	21	11	0	3	0	0	0		100010	47	2	0	0	0	0	Reason hip measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-10-09	504	504	-0.1000000014901161
20047	Reason for skipping standing height	0	0	0	21	11	0	3	0	0	0		100010	47	2	0	0	0	0	Reason standing height measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-10-09	824	824	-0.1000000014901161
20048	Reason for skipping sitting height	0	0	0	21	11	0	3	0	0	0		100010	47	2	0	0	0	0	Reason sitting height measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-10-09	843	843	-0.1000000014901161
20049	Blood sample #, note contents	0	0	0	21	11	0	3	0	1	0		100002	49	2	0	0	0	6	Notes relating to blood sample #, particularly why it was not collected.<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	11388	34928	-0.1000000014901161
20050	Reason blood sampling not attempted	0	0	0	21	11	0	3	0	0	0		100002	50	2	0	0	0	0	Reason blood sampling was not attempting (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	1583	1583	-0.1000000014901161
20051	Reason for skipping arterial stiffness	0	0	0	21	11	0	3	0	0	0		100007	51	2	0	0	0	0	Reason arterial stiffness measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	931	931	-0.1000000014901161
20052	Reason for skipping refractometry (left)	0	0	0	21	11	0	3	0	0	0		100014	54	2	0	0	0	0	Reason refractometry measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	1520	1520	-0.1000000014901161
20053	Reason for skipping IOP (right)	0	0	0	21	11	0	3	0	0	0		100015	54	2	0	0	0	0	Reason intraocular pressure measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	2403	2403	0.4000000059604645
20054	Reason for skipping IOP (left)	0	0	0	21	11	0	3	0	0	0		100015	54	2	0	0	0	0	Reason intraocular pressure measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	2596	2596	-0.1000000014901161
20055	Reason for skipping refractometry (right)	0	0	0	21	11	0	3	0	0	0		100014	54	2	0	0	0	0	Reason refractometry measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	1399	1399	0.4000000059604645
20056	Reason for skipping visual acuity (right)	0	0	0	21	11	0	3	0	0	0		100017	56	2	0	0	0	0	Reason visual acuity measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	410	410	130
20057	Reason for skipping visual acuity (left)	0	0	0	21	11	0	3	0	0	0		100017	56	2	0	0	0	0	Reason visual acuity measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	449	449	100
20058	Reason for skipping ECG	0	0	0	21	11	0	3	0	0	0		100012	47	2	0	0	0	0	Reason ECG measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	358	358	-0.1000000014901161
20059	Reason ECG not completed	0	0	0	21	11	0	3	0	0	0		100012	59	2	0	0	0	0	Reason ECG measurement was not completed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	262	262	-0.1000000014901161
20060	Reason at-rest ECG performed without bicycle	0	0	0	21	11	0	3	0	0	0		100012	60	2	0	0	0	0	Reason at-rest (i.e. without bike) ECG measurement was performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	943	943	-0.1000000014901161
20061	Reason for skipping OCT (right)	0	0	0	21	11	0	3	0	0	0		100016	54	2	0	0	0	0	Reason optical coherence tomography measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	3164	3164	150
20062	Reason for skipping OCT (left)	0	0	0	21	11	0	3	0	0	0		100016	54	2	0	0	0	0	Reason optical coherence tomography measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-21	3360	3360	140
20071	Reason no saliva sample collected	0	0	0	21	11	0	3	0	0	0		100096	71	2	0	0	0	0	Reason saliva sample was not collected (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-22	783	783	-0.1000000014901161
20072	Reason no urine sample collected	0	0	0	21	11	0	3	0	0	0		100095	71	2	0	0	0	0	Reason urine sample was not collected (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21	2012-08-22	3560	3560	-0.1000000014901161
20074	Home location at assessment - east co-ordinate (rounded)	0	0	0	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	2	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F20075~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F20033~ and ~F20034~, however special approval will be required to release the more detailed information.	2012-08-28	2018-08-08	497904	544159	0
20075	Home location at assessment - north co-ordinate (rounded)	0	0	0	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	2	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F20074~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F20033~ and ~F20034~, however special approval will be required to release the more detailed information.	2012-08-28	2018-08-08	497904	544159	0
20076	Treatment/medication READ-code	0	2	0	41	0	0	0	1	0	0		100075	0	2	0	0	0	0	READ-code for treatment. <p> The phrase "UKB" indicates free-text entry.	2015-06-17	2000-01-01	-1	-1	110
20077	Number of diet questionnaires completed	0	0	0	11	0	0	3	0	0	0		100114	0	0	0	0	0	0		2012-09-21	2012-09-22	211022	211022	6
20078	When diet questionnaire completion requested	0	0	0	51	0	0	0	1	0	0		100114	0	1	0	4	0	0	During the online phase participants were emailed an invitation to complete the questionnaire and asked to complete it the same day if possible. This email contained a weblink to the server hosting the system. <p> In the initial instance the questionnaire was presented at the end of the clinic visit so by necessity completion had to be on the same day.	2012-09-21	2012-09-24	211022	458620	9
20079	Day-of-week questionnaire completion requested	0	0	0	21	11	0	1	1	0	0		100114	73	1	0	4	0	0	During the online phase participants were emailed an invitation to complete the questionnaire and asked to complete it the same day if possible. This email contained a weblink to the server hosting the system.	2012-09-21	2012-10-01	211019	458617	2
20080	Day-of-week questionnaire completed	0	0	0	21	11	0	1	1	0	0		100114	73	1	0	4	0	0	This field holds the day of the week on which participants completed the questionnaire. Note that the data returned represents their recall of the previous day of the week.	2012-09-21	2012-10-01	211019	458617	1
20081	Hour-of-day questionnaire completed	0	0	0	11	0	0	1	1	0	0	hours	100114	0	1	0	4	0	0	This is the hour at which the diet questionnaire was completed. It is represented using the standard 24-hour clock whereby (e.g.) 14 represents the interval 2.00pm to 2.59pm inclusive.	2012-09-21	2012-09-23	211019	458617	5
20082	Duration of questionnaire	0	0	0	11	0	0	3	1	0	0	minutes	100114	0	1	0	4	0	0	This is the time participants took to complete the diet questionnaire as measured from initially connecting to the web-server to clicking the sign-off button on the final screen. Participants were able to stop and resume completing a questionnaire multiple times within the same day, and hence the longer times recorded are unlikely to indicate continuous use.	2012-09-21	2012-09-23	211019	458617	4
20083	Delay between questionnaire request and completion	0	0	0	11	0	0	3	1	0	0	days	100114	0	1	0	4	0	0	This field gives the number of whole days elapsed between a participant being requested to do the questionnaire and the time when they complete it. Note that within the clinic the questionnaire was always done at the same time as the request. In the first and second online instances participants were allowed 3 days after the invitation date to complete, and in the third and fourth online instances they were allowed 14 days after the invitation date to complete.	2012-09-24	2012-09-24	211019	458617	3
20084	Vitamin and/or mineral supplement use	0	0	0	22	11	0	3	1	1	0		100112	74	1	0	4	0	20	This field indicates the vitamin and/or mineral supplements that the participant indicated they consumed yesterday. The data is an amalgamation of 21 individual Yes/No answers which were asked if the participant indicated they consumed any supplements.	2012-09-24	2012-09-26	103851	451462	2
20085	Reason for not eating or drinking normally	0	0	0	22	11	0	3	1	1	0		100097	75	1	0	4	0	3	This field indicates the reason why the participant did not eat or drink normally yesterday. The data is an amalgamation of 4 individual Yes/No answers which were asked if the participant indicated they did not eat or drink normally.	2012-09-25	2012-09-26	67941	90441	3
20086	Type of special diet followed	0	0	0	22	11	0	3	1	1	0		100097	76	1	0	4	0	5	This field indicates whether the participant routinely follows a special diet. The data is an amalgamation of 4 individual Yes/No answers. <p> Some of the self-entered data regarding special diets is inconsistent with the actual food intake reported on the same occasion by participants. For instance, around a tenth of people indicating they followed a vegan diet also answered that they had eaten meat the prevous day.	2012-09-26	2012-09-26	58985	112191	5
20087	Types of spread used on bread/crackers	0	0	0	22	11	0	3	1	1	0		100101	77	1	0	4	0	12	This field indicates the type(s) of spread the participant used on bread or crackers yesterday. The data is an amalgamation of 8 individual Yes/No answers and 29 corresponding tick boxes which were asked if the participant indicated they used spread on bread or crackers.	2012-09-26	2012-09-26	161209	617083	35
20088	Types of spreads/sauces consumed	0	0	0	22	11	0	3	1	1	0		100110	78	1	0	4	0	16	This field indicates the type(s) of spreads or sauces the participant consumed yesterday. The data is an amalgamation of 19 individual Yes/No answers which were asked if the participant indicated they consumed any spreads or sauces.	2012-09-26	2012-09-26	146008	443457	2
20089	Type of meals eaten	0	0	0	22	11	0	3	1	1	0		100105	79	1	0	4	0	4	This field indicates the type(s) of meals the participant consumed yesterday. The data is an amalgamation of 5 individual Yes/No answers.	2012-09-26	2012-09-26	204940	523844	1
20090	Type of fat/oil used in cooking	0	0	0	22	11	0	3	1	1	0		100110	80	1	0	4	0	23	This field indicates the type(s) of fats or oils the participant used when cooking yesterday. The data is an amalgamation of 16 individual Yes/No answers and 29 corresponding tick boxes.	2012-09-26	2012-09-26	191521	594834	5
20091	Type of sliced bread eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	4	This field indicates the type(s) of sliced bread the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed sliced bread.	2012-09-27	2012-09-27	159408	350296	3
20092	Type of baguette eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	4	This field indicates the type(s) of baguette the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed baguette.	2012-09-27	2012-09-27	36169	46786	6
20093	Type of large bap eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	3	This field indicates the type(s) of large bap the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed large bap.	2012-09-27	2012-09-27	14406	17354	9
20094	Type of bread roll eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	4	This field indicates the type(s) of bread roll the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed bread roll.	2012-09-27	2012-09-27	54588	79105	12
20095	Size of white wine glass drunk	0	0	0	22	11	0	3	1	1	0		100100	82	1	0	4	0	2	This field indicates the size(s) of white wine glass the participant consumed yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they consumed white wine.	2012-09-27	2012-09-27	47038	65484	7
20096	Size of red wine glass drunk	0	0	0	22	11	0	3	1	1	0		100100	82	1	0	4	0	1	This field indicates the size(s) of red wine glass the participant consumed yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they consumed red wine.	2012-09-27	2012-09-27	59443	87734	3
20097	Size of rose wine glass drunk	0	0	0	22	11	0	3	1	1	0		100100	82	1	0	4	0	1	This field indicates the size(s) of rose wine glass the participant consumed yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they consumed rose wine.	2012-09-27	2012-09-27	10890	12441	5
20098	Thickness of butter/margarine spread on sliced bread	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	2	This field indicates the thickness(es) the participant spread butter or margarine on to sliced bread yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to sliced bread.	2012-09-28	2012-09-28	116415	181300	22
20099	Thickness of butter/margarine spread on baguettes	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to baguettes yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to baguettes.	2012-09-28	2012-09-28	18460	20320	24
20100	Thickness of butter/margarine spread on large baps	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to large baps yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to large baps.	2012-09-28	2012-09-28	5631	5978	26
20101	Thickness of butter/margarine spread on bread rolls	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to bread rolls yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to bread rolls.	2012-09-28	2012-09-28	32225	38328	28
20102	Thickness of butter/margarine spread on crackers/crispbreads	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to crackers or crispbreads yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to crackers or crispbreads.	2012-09-28	2012-09-28	14781	17717	30
20103	Thickness of butter/margarine spread on oatcakes	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to oatcakes yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to oatcakes.	2012-09-28	2012-09-28	3479	4080	32
20104	Thickness of butter/margarine spread on other bread	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to other breads yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to other breads.	2012-09-28	2012-09-28	10032	10955	34
20105	Liquid used to make porridge	0	0	0	22	11	0	3	1	1	0		100102	84	1	0	4	0	1	This field indicates the liquid(s) the participant used to make porridge yesterday. The data is an amalgamation of 2 individual tick boxes which were asked if the participant indicated they consumed porridge.	2012-09-28	2012-09-28	47525	78914	3
20106	Type of yogurt eaten	0	0	0	22	11	0	3	1	1	0		100109	85	1	0	4	0	1	This field indicates the type(s) of yoghurt the participant consumed yesterday. The data is an amalgamation of 2 individual tick boxes which were asked if the participant indicated they consumed yoghurt.	2012-09-28	2012-09-28	89403	137731	14
20107	Illnesses of father	0	0	0	21	11	0	0	1	1	0		100034	1010	2	0	2	0	9	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your father ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for blood relations only. If you are not sure if your father suffered from any of the listed illnesses please select Do not know. If you know your father suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their natural father was still alive or had died, as defined by their answers to ~F1797~.<p>Note that although Breast cancer is present in ~C1010~, participants were not presented with this option when selecting Father illnesses.	2012-10-05	2019-03-10	488052	1220110	0
20108	Ingredients in canned soup	0	0	0	22	11	0	3	1	1	0		100109	86	1	0	4	0	4	This field indicates the ingredients in canned soup the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed canned soup.	2012-10-08	2012-10-08	19949	24197	58
20109	Ingredients in homemade soup	0	0	0	22	11	0	3	1	1	0		100109	86	1	0	4	0	5	This field indicates the ingredients in homemade soup the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed homemade soup.	2012-10-08	2012-10-08	32728	45285	61
20110	Illnesses of mother	0	0	0	21	11	0	0	1	1	0		100034	1010	2	0	2	0	10	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your mother ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for blood relations only. If you are not sure if your mother suffered from any of the listed illnesses please select Do not know. If you know your mother suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their natural mother was still alive or had died, as defined by their answers to ~F1835~.<p>Note that although Prostate cancer is present in ~C1010~, participants were not presented with this option when selecting Mother illnesses.	2012-10-08	2019-03-10	493008	1229034	0
20111	Illnesses of siblings	0	0	0	21	11	0	0	1	1	0		100034	1010	2	0	2	0	11	This field contains the combined results of 2 ACE touchscreen questions, both asked "Have any of your brothers or sisters suffered from any of the following diseases? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for blood relations only. Include any sisters or brothers who have died. If you are not sure if your sisters or brothers suffered from any of the listed illnesses please select Do not know. If more than one sister or brother has suffered from any of the listed illnesses, you only need to select the illness once.</i></td></tr></table><p>The information was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~ and that they had at least one natural brother or sister, as defined by their answers to ~F1873~ and ~F1883~.	2012-10-08	2019-03-10	434164	1028528	0
20112	Illnesses of adopted father	0	0	0	21	11	0	0	1	1	0		100034	1010	2	0	2	0	6	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your ADOPTED father ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for your adopted father only. If you are not sure if your adopted father suffered from any of the listed illnesses please select Do not know. If you know your adopted father suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who they were adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their adopted father was still alive or had died, as defined by their answers to ~F3912~.<p>Note that although Breast cancer is present in ~C1010~, participants were not presented with this option when selecting adopted Father illnesses.	2012-10-09	2019-03-10	5249	12319	0
20113	Illnesses of adopted mother	0	0	0	21	11	0	0	1	1	0		100034	1010	2	0	2	0	5	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your ADOPTED mother ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for your adopted mother only. If you are not sure if your adopted mother suffered from any of the listed illnesses please select Do not know. If you know your adopted mother suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their adopted mother was still alive or had died, as defined by their answers to ~F3942~.<p>Note that although Prostate cancer is present in ~C1010~, participants were not presented with this option when selecting adopted Mother illnesses.	2012-10-09	2019-03-10	5591	13260	0
20114	Illnesses of adopted siblings	0	0	0	21	11	0	0	1	1	0		100034	1010	2	0	2	0	6	This field contains the combined results of 2 ACE touchscreen questions, both asked "Have any of your ADOPTED brothers or sisters suffered from any of the following diseases? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for adopted brothers and sisters only. Include any adopted sisters or brothers who have died. If you are not sure if your adopted sisters or brothers suffered from any of the listed illnesses please select Do not know. If more than one adopted sister or brother has suffered from any of the listed illnesses, you only need to select the illness once.</i></td></tr></table><p>The information was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~ and that they had at least one adopted brother or sister, as defined by their answers to ~F3972~ and ~F3982~.	2012-10-09	2019-03-10	3812	8592	0
20115	Country of Birth (non-UK origin)	0	0	0	21	11	0	3	0	0	0		100072	89	2	0	0	0	0	This is the country of birth as described by the participant to an interviewer. The question was only asked to participants who identified themselves as having been born outside of the United Kingdom / Republic of Ireland during the touchscreen questionnaire (~F1647~), however some participants then gave a location within the United Kingdom / Republic of Ireland (and have been coded here as such). <p>Answers have been grouped by continent. Coding was performed after the assessment visit using the strings either selected or entered as free-text. Some of the free-text could not be mapped onto a region and these entries have been omitted from the dataset.	2013-03-05	2013-03-05	40582	40582	0
20116	Smoking status	0	0	0	21	11	0	3	1	0	0		100058	90	2	0	2	0	0	This field summarises the current/past smoking status of the participant.	2013-03-06	2019-03-10	501659	557343	2910
20117	Alcohol drinker status	0	2	0	21	11	0	3	1	0	0		100051	90	2	0	2	0	0		2013-03-06	2019-03-10	501653	557337	0
20118	Home area population density - urban or rural	0	0	0	21	11	0	0	0	0	0		100024	91	2	0	0	0	0	The classification is derived by combining each participants home postcode with data generated from the 2001 census from the Office of National Statistics, using the Geoconvert tool from <a href="http://cdu.mimas.ac.uk/" class="basic">Census Dissemination Unit</a>.	2013-03-18	2013-03-18	497485	497485	0
20119	Current employment status - corrected	0	0	0	21	11	0	3	0	0	0		100064	100295	2	0	0	0	0	Most participant jobs were code by staff in the clinic when the participant was present, with the results presented in ~F132~. However, for various reasons, staff were occasionally unable to find suitable codings and the job was recorded as a "Other job" accompanied by a free-text description. <p>In some cases participants declared an occupation which was not actually classified as paid/self-employment and this information was used to correct the answer given in ~F6142~.	2013-06-07	2013-06-07	3364	3364	0
20121	Cascot confidence score	0	0	0	11	0	0	3	0	0	0	percent	100073	0	2	0	0	0	0		2013-06-07	2013-06-07	14552	14552	0
20122	Bipolar disorder status	0	0	0	21	11	0	3	0	0	0		100060	100694	2	0	0	0	0	This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20	2015-04-09	1615	1615	0
20123	Single episode of probable major depression	0	0	0	21	11	0	3	0	0	0		100060	7	2	0	0	0	0	Single episode of probable major depression. <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20	2015-04-09	9754	9754	0
20124	Probable recurrent major depression (moderate)	0	0	0	21	11	0	3	0	0	0		100060	7	2	0	0	0	0	Probable recurrent major depression (moderate). <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20	2015-04-09	15245	15245	0
20125	Probable recurrent major depression (severe)	0	0	0	21	11	0	3	0	0	0		100060	7	2	0	0	0	0	Probable recurrent major depression (severe). <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20	2015-04-09	9401	9401	0
20126	Bipolar and major depression status	0	0	0	21	11	0	3	0	0	0		100060	100695	2	0	0	0	0	Bipolar and major depression status. <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20	2015-04-09	122982	122982	0
20127	Neuroticism score	0	0	0	11	0	0	3	0	0	0		100060	0	2	0	0	0	0	This is an externally derived summary score of neuroticism, based on 12 neurotic behaviour domains as reported from fields 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020 and 2030 from the touchscreen questionnaire at baseline. Participants were assessed for twelve domains of neurotic behaviours via the touchscreen questionnaire. Questions included: <ul> <li>Does your mood often go up and down?</li> <li>Do you ever feel 'just miserable' for no reason?</li> <li>Are you an irritable person?</li> <li>Are your feelings easily hurt?</li> <li>Do you often feel 'fed-up'?</li> <li>Would you call yourself a nervous person?</li> <li>Are you a worrier?</li> <li>Would you call yourself tense or 'highly strung'?</li> <li>Do you worry too long after an embarrassing experience?</li> <li>Do you suffer from 'nerves'?</li> <li>Do you often feel lonely?</li> <li>Are you often troubled by feelings of guilt?</li> </ul>Participants could answer Yes, No, Do not know or Prefer not to answer. <p> This field summarises the number of Yes answers across these twelve questions into a single integer score for each participant. <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20	2015-04-09	401596	401596	0
20128	Number of fluid intelligence questions attempted within time limit	0	0	0	11	0	0	3	1	0	0	questions	100027	0	2	0	2	0	0	Number of fluid intelligence questions attempted within time limit. As the questions were asked in a constant order, and it was not possible to skip any, this value also represents the highest numbered question that the participant attempted.	2015-07-06	2019-03-10	197303	218072	0
20129	Number of columns displayed in round	0	0	0	11	0	0	2	0	1	0		117	0	2	0	0	0	2		2012-01-05	2015-07-23	118541	252046	1
20130	Number of rows displayed in round	0	0	0	11	0	0	2	0	1	0		117	0	2	0	0	0	2		2012-01-05	2015-07-23	118541	252046	3
20131	Number of correct matches in round	0	0	0	11	0	0	0	0	1	0		117	0	2	0	0	0	2	This is the number of correct matches in the round. It should always be 3 for a 2x3 game and 6 for a 3x4 game, unless the participant abandoned before finishing.	2012-01-05	2015-07-23	118541	252046	5
20132	Number of incorrect matches in round	0	0	0	11	0	0	0	0	1	0		117	0	2	0	0	0	2	A value of 0 indicates the participant made no mistakes.	2012-01-05	2015-07-23	118541	252046	7
20133	Time to complete round	0	0	0	11	0	0	0	0	1	0	deciseconds	117	485	2	0	0	0	2	These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2012-01-05	2015-08-11	118541	252046	9
20134	When pairs test completed	0	0	0	61	0	0	0	0	0	0		117	0	0	0	0	0	0	Time pairs test completed	2015-07-06	2015-07-23	118541	118541	0
20135	When fluid intelligence test completed	0	0	0	61	0	0	0	0	0	0		118	0	0	0	0	0	0	Time fluid intelligence test completed	2015-07-06	2015-07-21	123652	123652	0
20136	When trail making test completed	0	0	0	61	0	0	0	0	0	0		121	0	0	0	0	0	0	Time trail making test completed	2015-07-06	2015-07-23	120472	120472	190
20137	When symbol digit substitution test completed	0	0	0	61	0	0	0	0	0	0		122	0	0	0	0	0	0	Time sybol digit substitution test completed	2015-07-06	2015-08-12	120189	120189	180
20138	When numeric memory test completed	0	0	0	61	0	0	0	0	0	0		120	0	0	0	0	0	0	Time numeric memory test completed	2015-07-06	2015-10-15	111074	111074	100
20140	When initial questions completed	0	0	0	61	0	0	0	0	0	0		116	0	0	0	0	0	0	Time when initial entry/pointer method mood questions were completed	2015-07-06	2000-01-01	-1	-1	100
20147	Errors before selecting correct item in numeric path (trail #1)	0	0	0	11	0	0	0	0	1	0	error-count	121	0	0	0	0	1	25	Errors before selecting correct item in numeric path (trail #1). Only values greater than zero are recorded.	2015-07-07	2015-07-23	26364	44193	160
20148	Errors before selecting correct item in alphanumeric path (trail #2)	0	0	0	11	0	0	0	0	1	0	error-count	121	0	0	0	0	1	25	Errors before selecting correct item in alphanumeric path (trail #2). Only values greater than zero are recorded.	2015-07-07	2015-07-23	42775	72327	170
20149	Interval between previous point and current one in numeric path (trail #1)	0	0	0	11	0	0	0	0	1	0	milliseconds	121	485	0	0	0	1	25	These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2015-07-07	2015-08-11	115163	2848331	140
20150	Forced expiratory volume in 1-second (FEV1), Best measure	0	0	0	31	0	0	3	0	0	0	litres	100020	0	2	0	0	0	0	Highest measure from the array of values for Forced Expiratory Volume in 1-second (FEV1) ~F3063~, which was "acceptable" according to corresponding acceptability field (~F3061~). A blow was deemed acceptable if recorded as 0 (no problems) or 32 (0x20 - "USER_ACCEPTED"). <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	353330	353330	360
20151	Forced vital capacity (FVC), Best measure	0	0	0	31	0	0	3	0	0	0	litres	100020	0	2	0	0	0	0	Highest measure from the array of values for Forced Vital Capacity (FVC) (~F3062~), which was "acceptable" according to corresponding acceptability field (~F3061~). A blow was deemed acceptable if recorded as 0 (no problems) or 32 (0x20 - "USER_ACCEPTED"). <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	353330	353330	320
20152	Reproduciblity of spirometry measurement using ERS/ATS criteria	0	0	0	21	11	0	3	0	0	0		100020	7	2	0	0	0	0	Indicates whether an individual's spirometry meets European Respiratory Society/American Thoracic Society (ERS/ATS) Criteria, that is their highest acceptable measure was reproducible (the highest acceptable measure and any other measure were within 150 millilitres for both for Forced Expiratory Volume in 1-second (FEV1) and Forced Vital Capacity (FVC), although not necessarily the same blow. Note, if FVC &lt;=1 litre the criteria is within 100 millilitres). <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	353330	353330	130
20153	Forced expiratory volume in 1-second (FEV1), predicted	0	0	0	31	0	0	3	0	0	0	litres	100020	0	2	0	0	0	0	Predicted Forced Expiratory Volume in 1-second (FEV1), was calculated using a subset of "healthy never smokers" from UK Biobank. "Healthy never smokers", were selected as individuals with "Ever Smoking Status"=0 and with "Reproducible measure using the European Respiratory Society/American Thoracic Society (ERS/ATS) Criteria"=YES (1), with the following exclusions: <ul> <li> ~F2316~: Individuals who indicated that they had experienced wheeze: "Yes" (1), "Do not know" (-1) or "Prefer not to answer" (-3). </li> <li> ~F6152~: Individuals who reported "emphysema/chronic bronchitis" (6) or "asthma" (8) or "Prefer not to answer" (-3). </li> <li>~F20002~: Individuals who reported any of the following: asthma (1111), COPD (1112), emphysema/chronic bronchitis (1113), bronchiectasis (1114), interstitial lung disease (1115), asbestosis (1120), pulmonary fibrosis (1121), fibrosing/unspecified alveolitis (1122), respiratory failure (1124), pleurisy (1125), spontaneous/recurrent pneumothorax (1126), other respiratory problems (1117). </li> </ul> Healthy never smokers were grouped into 58 age-sex bands (29 age bands per sex; ages 39, 40 and 41 were grouped into one band and ages 69, 70 and 72 were grouped into one band with ages 42 to 68 each forming a separate band) and the following linear regression model was fitted in each age-sex band: <p>FEV1 = <i>Beta0</i> + <i>Beta1</i> * Standing Height <p> Predicted FEV1 was then calculated for all samples who were never smokers ("Ever Smoking Status"=0) or heavy smokers ("Ever Smoking Status"=1 AND "Pack years as proportion of life span exposed to smoking" &gt;= 0.42) and with "Reproducible measure using the European Respiratory Society/American Thoracic Society (ERS/ATS) Criteria"=YES, using the estimates of <i>Beta0</i> and <i>Beta1</i>, from the appropriate age-sex band: <p>Predicted FEV1= (pred.<i>Beta0</i>) + (pred.<i>Beta1</i>)^ * Standing Height <p> Five individuals were outliers in terms of their FEV1 and were not coded. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	151979	151979	370
20154	Forced expiratory volume in 1-second (FEV1), predicted percentage	0	0	0	31	0	0	3	0	0	0	percent	100020	0	2	0	0	0	0	This value was only calculated for samples with non-missing predicted Forced Expiratory Volume in 1-second, using derived variables Force Expiratory Volume in 1-second (FEV1) and predicted Forced Expiratory Volume in 1-second (pred.FEV1). It is defined as the Force Expiratory Volume in 1-second divided by the Percent predicted Forced Expiratory Volume in 1-second multiplied by 100: <p>FEV1 /pred.FEV1 * 100 <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	151979	151979	380
20155	Interval between previous point and current one in alphanumeric path (trail #2)	0	0	0	11	0	0	0	0	1	0	milliseconds	121	485	0	0	0	1	25	These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2015-07-07	2015-08-11	110414	2724857	150
20156	Duration to complete numeric path (trail #1)	0	0	0	31	0	0	3	0	0	0	seconds	121	0	0	0	0	0	0	Derived by summing the values in ~F20149~. <p> Where some of the individual timings were flagged as Invalid, the total duration was calculated by interpolating from the valid timings.	2015-07-07	2015-08-11	104042	104042	100
20157	Duration to complete alphanumeric path (trail #2)	0	0	0	31	0	0	3	0	0	0	seconds	121	0	0	0	0	0	0	Derived by summing the values in ~F20155~	2015-07-07	2015-08-11	104040	104040	110
20158	DXA images	0	2	0	41	0	20	0	0	0	0		103	0	0	2	2	0	0	Contains the DXA image set as generated by the scanning device. <br> Includes whole body; lateral thoraco-lumbar spine; right and left hips; right and left knees .	2015-09-23	2019-02-23	15965	15965	100
20159	Number of symbol digit matches made correctly	0	0	0	11	0	0	0	0	0	0	correct-answers	122	0	0	0	0	0	0	This is the number of times a participant correctly matched a symbol with a digit summed across all the rounds of the test that they performed, excluding the initial 8 items corresponding to the training round.	2015-07-07	2015-08-13	118479	118479	100
20160	Ever smoked	0	0	0	21	11	0	3	1	0	0		100058	7	2	0	2	0	0	Derived using variables "Current tobacco smoking" (~F1239~) and "Past tobacco smoking" (~F1249~). <p>Individual classed as Eversmoker if Current tobacco smoking= most days (1) or occasionally (2) OR Past tobacco smoking= most days (1) or occasionally (2) or tried once or twice (3). <p> Individual were classed as Neversmoker if Current tobacco smoking= no (0) AND Past tobacco smoking= never (4). <p> Individuals who answered to either question "Do not know" (-1) "Prefer not to answer" (-3) and "None of the above" (-7) were not coded. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2019-03-10	499753	555185	0
20161	Pack years of smoking	0	0	0	31	0	0	3	1	0	0	years	100058	0	2	0	2	0	0	Pack years calculated for individuals who have ever smoked according to data field Ever smoking status=1, using appropriate data: Current cigarette (either manufactured or hand rolled) smokers who smoke most days (smoking data fields used: ~F3436~ and ~F6183~). Past cigarette (either manufactured or hand rolled) smokers who smoked most days (smoking data fields used: ~F2867~, ~F2897~ and ~F2887~). Current cigar/pipe smokers who smoked most days and previously smoked cigarettes (smoking data fields used: ~F3436~, ~F6194~ and ~F6183~). The general definition of a pack year is the number of cigarettes smoked per day, divided by twenty, multiplied by the number of years of smoking. The number of years of smoking is calculated by substracting the age of starting smoking from the age smoking was stopped. <p> Number of cigarettes per day / 20 * (Age stopped smoking - Age start smoking) <p>The figure is adjusted for individuals who gave up smoking for more than 6 months, according to data fields 2907 or 3486 by subtracting six months from the number of years of smoking. <p>Number of cigarettes per day / 20 * (Age stopped smoking - Age start smoking - 0.5) <p>Note: Individuals who started and gave up smoking before 16 years of age were coded as NA. For individuals who started smoking before 16 but gave up after 16, their age start was set as 16. Individuals who reported starting and stopping smoking at the same age and reported giving up smoking for more than 6 months had pack-years set at 0. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2019-03-10	152319	164779	0
20162	Pack years adult smoking as proportion of life span exposed to smoking	0	0	0	31	0	0	3	1	0	0	Units	100058	0	2	0	2	0	0	Average number of pack-years smoked by an individual each year, over their adult lifetime, calculated using pack-years data field. Pack years as a proportion of lifespan exposed to smoking is defined as pack years divided by the number of years between the participants' age at recruitment and the age of 16: <p> Pack years / (Age at recruitment - 16) <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2019-03-10	152318	164754	0
20165	FI1 : numeric addition test	0	0	0	21	11	0	0	0	0	0		118	5001	2	0	0	0	0	ACE touchscreen question "Add the following numbers together: 1 2 3 4 5 - is the answer?". Part 1 of Fluid Intelligence test. <p>Asked to choose from 13, 14, 15, 16 or 17.	2012-01-05	2015-07-21	123186	123186	120
20167	FI2 : identify largest number	0	0	0	21	11	0	0	0	0	0		118	5002	2	0	0	0	0	ACE touchscreen question "Which number is the largest?". Part 2 of Fluid Intelligence test.<p> Asked to choose from 642, 308, 987, 714 and 253.	2012-01-05	2015-07-21	123214	123214	130
20169	FI3 : word interpolation	0	0	0	21	11	0	0	0	0	0		118	5003	2	0	0	0	0	ACE touchscreen question "Bud is to Flower as Child is to?". Part 3 of Fluid Intelligence test.<p>Offered choice from Grow, Develop, Improve, Adult and Old.	2012-01-05	2015-07-21	123178	123178	140
20171	FI4 : positional arithmetic	0	0	0	21	11	0	0	0	0	0		118	5004	2	0	0	0	0	ACE touchscreen question "11 12 13 14 15 16 17 18 Divide the sixth number to the right of twelve by three. Is the answer?". Part 4 of Fluid Intelligence test.<p>Offered choice from 5, 6, 7, or 8.	2012-01-05	2015-07-21	122535	122535	150
20173	FI5 : family relationship calculation	0	0	0	21	11	0	0	0	0	0		118	5005	2	0	0	0	0	ACE touchscreen question "If Truda's mother's brother is Tim's sister's father, what relation is Truda to Tim?". Part 5 of Fluid Intelligence test.<p>Offered choice from Aunt, Sister, Niece, Cousin, No-relation.	2012-01-05	2015-07-21	119937	119937	160
20175	FI6 : conditional arithmetic	0	0	0	21	11	0	0	0	0	0		118	5006	2	0	0	0	0	ACE touchscreen question "If sixty is more than half of seventy-five, multiply twenty-three by three. If not subtract 15 from eighty-five. Is the answer?". Part 6 of Fluid Intelligence test.<p>Offered choice from 68, 69, 70, 71, 72.	2012-01-05	2015-07-21	107559	107559	170
20177	FI7 : synonym	0	0	0	21	11	0	0	0	0	0		118	5007	2	0	0	0	0	ACE touchscreen question "Stop means the same as?". Part 7 of Fluid Intelligence test. <p>Offered choice from Pause, Close, Cease, Break or Rest.	2012-01-05	2015-07-21	87426	87426	180
20179	FI8 : chained arithmetic	0	0	0	21	11	0	0	0	0	0		118	5008	2	0	0	0	0	ACE touchscreen question "If David is twenty-one and Owen is nineteen and Daniel is nine years younger than David, what is half their combined age?". Part 8 of Fluid Intelligence test.<p>Offered choice from 25, 26, 27, 28 or 29.	2012-01-05	2015-07-21	79526	79526	190
20181	FI9 : concept interpolation	0	0	0	21	11	0	0	0	0	0		118	5009	2	0	0	0	0	ACE touchscreen question "Age is to Years as Height is to?". Part 9 of Fluid Intelligence test.<p>Offered choice from Long, Deep, Top, Metres or Tall.	2012-01-05	2015-07-21	32428	32428	200
20183	FI10 : arithmetic sequence recognition	0	0	0	21	11	0	0	0	0	0		118	5010	2	0	0	0	0	ACE touchscreen question "150 ... 137 ... 125 ... 114 ... 104 ... What comes next?". Part 10 of Fluid Intelligence test.<p>Offered choice from 92, 93, 94, 95 or 96.	2012-01-05	2015-07-21	21572	21572	210
20185	FI11 : antonym	0	0	0	21	11	0	0	0	0	0		118	5011	2	0	0	0	0	ACE touchscreen question "Relaxed means the opposite of?". Part 11 of Fluid Intelligence test.<p>Offered choice from Calm, Anxious, Cool, Worried, Tense.	2012-01-05	2015-07-21	10009	10009	220
20187	FI12 : square sequence recognition	0	0	0	21	11	0	0	0	0	0		118	5012	2	0	0	0	0	ACE touchscreen question "100 ... 99 ... 95 ... 86 ... 70 ... What comes next?". Part 12 of Fluid Intelligence test.<p>Offered choice from 45, 46, 47, 48, 49, 50.	2012-01-05	2015-07-21	6424	6424	230
20189	FI13 : subset inclusion logic	0	0	0	21	11	0	0	0	0	0		118	5013	2	0	0	0	0	ACE touchscreen question "If some flinks are plinks and some plinks are stinks then some flinks are definitely stinks?". Part 13 of Fluid Intelligence test.<p>Offered choice from True, False, Neither-true-nor-false.	2012-01-05	2015-07-21	1444	1444	240
20191	Fluid intelligence score	0	0	0	11	0	0	3	0	0	0	correct-answers	118	0	2	0	0	0	0	This is a simple unweighted sum of the number of correct answers given to the 13 fluid intelligence questions. Participants who did not answer all of the questions within the allotted 2 minute limit are scored as zero for each of the unattempted questions.	2012-03-28	2015-11-17	123652	123652	100
20192	Number of fluid intelligence questions attempted within time limit	0	0	0	11	0	0	3	0	0	0	questions	118	0	0	0	0	0	0	Number of fluid intelligence questions attempted within time limit	2015-07-06	2000-01-01	-1	-1	110
20193	FI14 : alphanumeric substitution	0	0	0	21	11	0	0	0	0	0		118	5014	0	0	0	0	0	Question : "If 'Anne' is thirty-four and 'John' is forty-seven, what number is 'that'? <br> Is it: 49,50,51,52,53" <p> This question was not asked in the original touchscreen version.	2015-07-06	2015-07-21	525	525	250
20195	Number of symbol digit matches attempted	0	0	0	11	0	0	0	0	0	0	attempts	122	0	0	0	0	0	0	This is the number of symbol digit combinations which a participant attempted to match, excluding the initial 8 items corresponding to the training round.	2015-07-07	2015-08-13	118479	118479	110
20196	First code array presented	0	0	0	21	11	0	2	0	0	0		122	500	0	0	0	0	0	The tests were described by an outer array of 33 symbol-digit arrays each containing the digits 0-7. To present some element of unpredictability between participants, each run of the program chose a random starting point in the outer array and presented tests from that point onwards (looping back to the origin if required). The outer array was zero-indexed, so that a value of 0 in this field means that the first symbol-digit array was used for the Coding array. <p> To illustrate, suppose a participant was allocated the value 5 for their start array. Then round 1 would use Array 5 [values 3,5,2,0,4,6,1,7] for the Code and Array 6 [6,3,7,2,4,5,0,1] for the Test. Round 2 would still use Array 5 for the Code but Array 7 [1,4,5,6,0,7,2,3] for the test etc. <p>The test arrays are listed below, and also in ~C500~ with the symbol dictionary shown in ~R111~. <p> 0) 5,0,3,6,1,2,4,7 <br> 1) 1,3,5,7,4,6,0,2 <br> 2) 4,5,6,7,3,0,2,1 <br> 3) 1,4,6,7,2,3,0,5 <br> 4) 4,5,1,3,7,2,6,0 <br> 5) 3,5,2,0,4,6,1,7 <br> 6) 6,3,7,2,4,5,0,1 <br> 7) 1,4,5,6,0,7,2,3 <br> 8) 3,4,2,5,6,0,7,1 <br> 9) 2,5,3,0,7,1,6,4 <br> 10) 3,6,4,1,0,5,7,2 <br> 11) 5,3,2,0,4,1,7,6 <br> 12) 2,3,4,1,7,5,0,6 <br> 13) 4,3,1,5,2,0,6,7 <br> 14) 3,5,0,1,4,7,2,6 <br> 15) 4,2,1,0,6,7,5,3 <br> 16) 0,2,3,7,1,4,6,5 <br> 17) 7,1,2,4,0,6,5,3 <br> 18) 5,1,7,3,2,4,0,6 <br> 19) 7,6,4,5,0,2,3,1 <br> 20) 2,6,1,4,5,7,0,3 <br> 21) 4,0,6,1,3,7,5,2 <br> 22) 5,6,0,7,3,2,1,4 <br> 23) 6,5,1,3,0,4,7,2 <br> 24) 4,1,7,2,5,6,3,0 <br> 25) 5,2,0,6,7,4,1,3 <br> 26) 3,0,5,6,7,2,4,1 <br> 27) 3,2,5,4,7,0,6,1 <br> 28) 0,6,7,5,1,2,3,4 <br> 29) 4,3,1,0,6,5,2,7 <br> 30) 5,4,6,7,1,0,2,3 <br> 31) 0,4,7,2,3,1,5,6 <br> 32) 2,0,1,5,6,7,4,3 <p>The first round (attempts 0-7) used a constant fixed pattern [2,4,6,1,3,5,7,0] for the Code Array and [7,1,5,4,6,0,3,2] for the test Array for all participants.	2015-07-07	2015-08-13	120189	120189	120
20197	Number of word pairs correctly associated	1	2	0	11	0	0	3	0	0	0		506	0	0	2	2	0	0	This is the number of word pairs correctly associated out of ten attempts.	2017-06-07	2019-03-10	20610	20610	100
20198	Test array presented	0	0	0	21	11	0	1	0	1	0		122	500	0	0	0	0	116	This field indicates the layout of symbols presented as a test. <p> The tests were described by an outer array of 33 symbol-digit arrays each containing the digits 0-7. To present some element of unpredictability between participants, each run of the program chose a random starting point in the outer array and presented tests from that point onwards (looping back to the origin if required). The outer array was zero-indexed, so that a value of 0 in this field means that the first symbol-digit array was used for the Coding array. <p> To illustrate, suppose a participant was allocated the value 5 for their start array. Then round 1 would use Array 5 [values 3,5,2,0,4,6,1,7] for the Code and Array 6 [6,3,7,2,4,5,0,1] for the Test. Round 2 would still use Array 5 for the Code but Array 7 [1,4,5,6,0,7,2,3] for the test etc. <p>The test arrays are listed below, and also in ~C500~ with the symbol dictionary shown in ~R111~. <p> 0) 5,0,3,6,1,2,4,7 <br> 1) 1,3,5,7,4,6,0,2 <br> 2) 4,5,6,7,3,0,2,1 <br> 3) 1,4,6,7,2,3,0,5 <br> 4) 4,5,1,3,7,2,6,0 <br> 5) 3,5,2,0,4,6,1,7 <br> 6) 6,3,7,2,4,5,0,1 <br> 7) 1,4,5,6,0,7,2,3 <br> 8) 3,4,2,5,6,0,7,1 <br> 9) 2,5,3,0,7,1,6,4 <br> 10) 3,6,4,1,0,5,7,2 <br> 11) 5,3,2,0,4,1,7,6 <br> 12) 2,3,4,1,7,5,0,6 <br> 13) 4,3,1,5,2,0,6,7 <br> 14) 3,5,0,1,4,7,2,6 <br> 15) 4,2,1,0,6,7,5,3 <br> 16) 0,2,3,7,1,4,6,5 <br> 17) 7,1,2,4,0,6,5,3 <br> 18) 5,1,7,3,2,4,0,6 <br> 19) 7,6,4,5,0,2,3,1 <br> 20) 2,6,1,4,5,7,0,3 <br> 21) 4,0,6,1,3,7,5,2 <br> 22) 5,6,0,7,3,2,1,4 <br> 23) 6,5,1,3,0,4,7,2 <br> 24) 4,1,7,2,5,6,3,0 <br> 25) 5,2,0,6,7,4,1,3 <br> 26) 3,0,5,6,7,2,4,1 <br> 27) 3,2,5,4,7,0,6,1 <br> 28) 0,6,7,5,1,2,3,4 <br> 29) 4,3,1,0,6,5,2,7 <br> 30) 5,4,6,7,1,0,2,3 <br> 31) 0,4,7,2,3,1,5,6 <br> 32) 2,0,1,5,6,7,4,3 <p>The first round (attempts 0-7) used a constant fixed pattern [2,4,6,1,3,5,7,0] for the Code Array and [7,1,5,4,6,0,3,2] for the test Array for all participants.	2015-07-07	2015-08-13	118799	3350205	130
20199	Antibiotic codes for last 3 months	0	3	0	22	11	0	0	0	1	0		100075	744	0	2	2	0	3	Antibiotic code	2018-11-09	2019-03-10	1295	1402	140
20200	Values wanted	0	0	0	11	0	0	0	0	1	0		122	0	0	0	0	0	116	This is the value matching the displayed symbol according to the coding dictionary presented on the screen. <p> To illustrate, the initial training screen displays <ul> <li>[2,4,6,1,3,5,7,0] - code (upper) Array</li> <li>[7,1,5,4,6,0,3,2] - test (lower) Array </li> </ul> Then the leftmost picture in the test Array has index 7 (a crescent). In the upper code array the crescent appears above the numeral 7, so the value wanted here is 7. <p> The next item in the test Array has index 1 (an "H" shape), which appears above the numeral 4 in the code array. <p> The last item in the test Array has an index 2 (an "="), which appears above the numeral 1 in the code array.	2015-07-07	2015-08-13	118799	3350205	140
20201	Dixon technique for internal fat - DICOM	0	2	0	41	0	20	0	0	0	0		105	0	2	2	2	0	0	Dixon technique. Measures internal fat. Will be assessed by 'AMRA'	2014-07-25	2019-03-10	31707	31707	0
20202	Pancreatic fat - DICOM	0	2	0	41	0	20	0	0	0	0		131	0	2	2	2	0	0	Measures fat in and around pancreas.	2014-07-25	2019-03-10	30713	30713	100
20203	Liver images - gradient echo - DICOM	0	2	0	41	0	20	0	0	0	0		126	0	2	2	2	0	0	Liver images collected using gradient echo. This protocol was superceded during 2016 by ~F20254~.	2014-07-25	2017-07-10	10130	10130	120
20204	Liver Imaging - T1 ShMoLLI - DICOM	0	2	0	41	0	20	0	0	0	0		126	0	2	2	2	0	0	Experimental sequence developed by Oxford OCMR group. A single breath-hold cardiac-gated T1-mapping Modified Look-Locker Inversion Recovery sequence (typically 12 seconds), which acquires a series of seven images (8mm slice thickness, in-plane pixel spacing 9.3mm) each with a different T1 weighting.	2014-07-25	2019-03-10	31363	31363	100
20205	ECG datasets	0	2	0	41	0	20	0	0	0	0		104	0	2	2	2	0	0	ECG datasets are stored as XML formatted records containing the lead-traces and some ancillary reporting data.	2014-07-28	2019-03-10	30653	30653	130
20206	Measurements of pancreas volume - DICOM	0	2	0	41	0	20	0	0	0	0		131	0	2	2	2	0	0	Different method of measuring fat around pancreas (one will likely be dropped eventually).	2014-07-25	2018-12-24	21734	21734	110
20207	Scout images for heart MRI - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Scout images for heart scans	2014-07-25	2019-03-10	32389	32389	160
20208	Long axis heart images - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Long Axis measures in three directions to cover various chambers of the heart.	2014-07-25	2019-03-10	32308	32308	150
20209	Short axis heart images - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Short axis scans. Used to measure function of heart.<p>Note that the number will vary depending on the size of the participant since the larger the heart the more slices are required. There should always be a relationship between the number of images in the _inlineVF series and the number of SAX series. Roughly invlineVF = SAX_b1 + b2 + bn + LAX_2ch _ LAX_3ch + LAX_4ch.	2014-07-25	2019-03-10	32172	32172	170
20210	Aortic distensibilty images - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Aortic distensibilty scans.	2014-07-25	2019-03-10	31067	31067	100
20211	Cine tagging images - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Cine tagging	2014-07-25	2019-03-10	30956	30956	120
20212	Left ventricular outflow tract images - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Left Ventricular Outflow Tract scan.	2014-07-25	2019-03-10	31008	31008	140
20213	Blood flow images - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Measures blood flow to try and identify heart disease.	2014-07-25	2019-03-10	30816	30816	110
20214	Experimental shMOLLI sequence images - DICOM	0	2	0	41	0	20	0	0	0	0		102	0	2	2	2	0	0	Experimental shMOLLI sequence used by Oxford OCMR.	2014-07-25	2019-03-10	30979	30979	130
20215	Scout images for brain scans - DICOM	0	2	0	41	0	20	0	0	0	0		108	0	2	2	2	0	0	Scout images for brain scans	2014-07-25	2019-03-10	32598	32598	100
20216	T1 structural brain images - DICOM	0	2	1	41	0	20	0	0	0	0		110	0	2	2	2	0	0	The DICOM image was acquired using the following parameters: <p> Resolution: 1x1x1 mm <br> Field-of-view: 208x256x256 matrix <br> Scan duration: 5 minutes <br>3D MPRAGE, sagittal, in-plane acceleration iPAT=2, prescan-normalise	2014-07-25	2019-03-10	32585	32585	110
20217	Functional brain images - task - DICOM	0	2	0	41	0	20	0	0	0	0		106	0	2	2	2	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 4 minutes (332 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation <p> As implemented in the CMRR multiband acquisition, a separate "single-band reference scan" is also acquired. This has the same geometry (including EPI distortion) as the timeseries data, but has higher between-tissue contrast to noise, and is used as the reference scan in head motion correction and alignment to other modalities.	2014-07-25	2019-03-10	28979	28979	130
20218	Multiband diffusion brain images - DICOM	0	2	0	41	0	20	0	0	0	0		107	0	2	2	2	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 2x2x2 mm <br>Field-of-view: 104x104x72 matrix <br>Duration: 7 minutes (including 36 seconds phase-encoding reversed data) <br>10x b=0, 50x b=1000, 50x b=2000 <br>SE-EPI with x3 multislice acceleration, no iPAT, fat saturation <p> For the two diffusion-weighted shells, 50 distinct diffusion-encoding directions were acquired (and all 100 directions are distinct). The diffusion prepraration is a standard ("monopolar") Stejskal-Tanner pulse sequence. This enables higher SNR due to a shorter echo time (TE=92ms) than than a twice-refocused ("bipolar") sequence. This improvement comes at the expense of stronger eddy current distortions, which are removed in the processed data available in NIFTI format.	2014-07-25	2019-03-10	31095	31095	110
20219	Susceptibility weighted brain images - DICOM	0	2	0	41	0	20	0	0	0	0		109	0	2	2	2	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 0.8x0.8x3 mm <br> Field-of-view: 256x288x48 matrix <br>Duration: 2.5 minutes <br>Two echos, TE=9.42,20 ms <br>2D, axial, in-plane acceleration iPAT=2, partial Fourier = 7/8, prescan-normalise <p> To date (Oct 2015) the magnitude and phase images have been saved for each RF coil and echo time separately. In future the expectation is to combine these on the scanner	2014-07-25	2019-03-10	29817	29817	110
20220	T2 FLAIR structural brain images - DICOM	0	2	1	41	0	20	0	0	0	0		112	0	2	2	2	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 1.05x1x1 mm <br>Field-of-view: 192x256x256 matrix <br>Duration: 6 minutes <br>3D SPACE, sagittal, in-plane acceleration iPAT=2, partial Fourier = 7/8, fat saturation, elliptical k-space scanning, prescannormalise	2014-07-25	2019-03-10	31843	31843	110
20221	T2/PD brain images - DICOM	0	2	1	41	0	20	0	0	0	0		112	0	2	2	2	0	0	The T2/PD scan was originally tentatively included as a standard protocol in diagnostic imaging for the detection of some pathologies. Consultation with research experts concluded it has little or no value to the research questions UK Biobank is likely to investigate. Further, the b=0 dMRI scans can to some extent be used as a surrogate for this. Hence in the face of overall scan time pressure, the T2/PD scan was dropped from the protocol during the pilot.	2014-07-25	2015-05-08	554	554	140
20222	Carotid artery ultrasound image (left)	0	2	0	41	0	20	0	0	0	0		101	0	2	2	2	0	0	Left carotid artery ultrasound image	2014-07-28	2018-11-11	7949	7949	300
20223	Carotid artery ultrasound image (right)	0	2	0	41	0	20	0	0	0	0		101	0	2	2	2	0	0	Right carotid artery ultrasound image	2014-07-28	2018-11-11	7952	7952	310
20224	Phoenix - DICOM	0	2	0	41	0	20	0	0	0	0		108	0	2	2	2	0	0	Phoenix setup/configuration information	2015-02-10	2019-03-10	32063	32063	110
20225	Functional brain images - resting - DICOM	0	2	0	41	0	20	0	0	0	0		111	0	2	2	2	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 6 minutes (490 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation	2015-02-10	2019-03-10	32490	32490	110
20226	Carotid artery ultrasound report	0	2	0	41	0	20	1	0	0	0		101	0	2	2	2	0	0	Screenshots captured from carotid ultrasound measurement device showing auxillary information.	2015-02-11	2018-11-11	7952	7952	320
20227	Functional brain images - resting - NIFTI	0	2	0	41	0	20	3	0	0	0		111	0	2	2	2	0	0	Resting-functional brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 6 minutes (490 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation <p> The average size of these NIFTI datasets is 670MB per participant.	2015-10-12	2018-08-18	22331	22331	100
20229	Values entered	0	0	0	11	0	0	0	0	1	0		122	0	0	0	0	0	116	This is the value entered by the participant. To be a correct match it must be the same as the corresponding value in ~F20200~.	2015-07-07	2015-08-13	118799	3350205	150
20230	Duration to entering value	0	0	0	11	0	0	0	0	1	0	milliseconds	122	0	0	0	0	0	116	This is the time in milliseconds between the participant being shown a pattern and their entering this value. The counter is reset to zero at the beginning of each round (i.e. when a new pattern is displayed). <p> These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2015-07-07	2015-08-13	118799	3350205	160
20240	Maximum digits remembered correctly	0	0	0	11	0	0	0	0	0	0		120	0	0	0	0	0	0	Longest number correctly recalled during the numeric memory test. A value of -1 is recorded if the participant chose to abandon the test before completing the first round.	2012-01-05	2015-10-15	111074	111074	190
20242	Fluid intelligence completion status	0	0	0	21	11	0	0	0	0	0		118	498	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21	2015-07-21	123652	123652	0
20244	Pairs matching completion status	0	0	0	21	11	0	0	0	0	0		117	498	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21	2015-07-23	118541	118541	0
20245	Symbol digit completion status	0	0	0	21	11	0	0	0	0	0		122	498	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21	2015-08-13	120189	120189	170
20246	Trail making completion status	0	0	0	21	11	0	0	0	0	0		121	479	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21	2015-07-23	120472	120472	180
20247	Total errors traversing numeric path (trail #1)	0	0	0	11	0	0	3	0	0	0	error-count	121	0	0	0	0	0	0	Total errors made while traversing numeric path. Only participants who made at least one error have data recorded in this field.	2015-07-21	2015-08-11	26364	26364	120
20248	Total errors traversing alphanumeric path (trail #2)	0	0	0	11	0	0	3	0	0	0	error-count	121	0	0	0	0	0	0	Total errors made while traversing alphanumeric path. Only participants who made at least one error have data recorded in this field.	2015-07-21	2015-08-11	42775	42775	130
20249	Functional brain images - task - NIFTI	0	2	0	41	0	20	3	0	0	0		106	0	2	2	2	0	0	Task-functional brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 4 minutes (332 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation <p> As implemented in the CMRR multiband acquisition, a separate "single-band reference scan" is also acquired. This has the same geometry (including EPI distortion) as the timeseries data, but has higher between-tissue contrast to noise, and is used as the reference scan in head motion correction and alignment to other modalities. <p> The average size of these NIFTI datasets is 450MB per participant.	2015-10-12	2018-08-18	20967	20967	120
20250	Multiband diffusion brain images - NIFTI	0	2	0	41	0	20	3	0	0	0		107	0	2	2	2	0	0	Multiband diffusion brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 2x2x2 mm <br>Field-of-view: 104x104x72 matrix <br>Duration: 7 minutes (including 36 seconds phase-encoding reversed data) <br>10x b=0, 50x b=1000, 50x b=2000 <br>SE-EPI with x3 multislice acceleration, no iPAT, fat saturation <p> For the two diffusion-weighted shells, 50 distinct diffusion-encoding directions were acquired (and all 100 directions are distinct). The diffusion prepraration is a standard ("monopolar") Stejskal-Tanner pulse sequence. This enables higher SNR due to a shorter echo time (TE=92ms) than than a twice-refocused ("bipolar") sequence. This improvement comes at the expense of stronger eddy current distortions, which are removed in the image processing pipeline. <p> The average size of these NIFTI datasets is 550MB per participant.	2015-10-12	2018-08-18	20923	20923	100
20251	Susceptibility weighted brain images - NIFTI	0	2	0	41	0	20	3	0	0	0		109	0	2	2	2	0	0	Susceptibility weighted brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 0.8x0.8x3 mm <br> Field-of-view: 256x288x48 matrix <br>Duration: 2.5 minutes <br>Two echos, TE=9.42,20 ms <br>2D, axial, in-plane acceleration iPAT=2, partial Fourier = 7/8, prescan-normalise <p> To date (Oct 2015) the magnitude and phase images have been saved for each RF coil and echo time separately. In future the expectation is to combine these on the scanner. <p> The average size of these NIFTI datasets is 35MB per participant.	2015-10-12	2018-08-18	19650	19650	100
20252	T1 structural brain images - NIFTI	0	2	0	41	0	20	3	0	0	0		110	0	2	2	2	0	0	T1 structural images in NIFTI format. <p> The source DICOM image was acquired using the following parameters: <p> Resolution: 1x1x1 mm <br> Field-of-view: 208x256x256 matrix <br> Scan duration: 5 minutes <br>3D MPRAGE, sagittal, in-plane acceleration iPAT=2, prescan-normalise <p> The average size of these NIFTI datasets is 50MB per participant.	2015-10-12	2018-08-18	22392	22392	100
20253	T2 FLAIR structural brain images - NIFTI	0	2	0	41	0	20	3	0	0	0		112	0	2	2	2	0	0	T2 FLAIR structural brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 1.05x1x1 mm <br>Field-of-view: 192x256x256 matrix <br>Duration: 6 minutes <br>3D SPACE, sagittal, in-plane acceleration iPAT=2, partial Fourier = 7/8, fat saturation, elliptical k-space scanning, prescannormalise <p> The average size of these NIFTI datasets is 30MB per participant.	2015-10-12	2018-10-01	21708	21708	100
20254	Liver images - IDEAL protocol - DICOM	0	2	0	41	0	20	0	0	0	0		126	0	0	2	2	0	0	Liver images collected using the "IDEAL" protocol.	2018-02-26	2019-03-10	22916	22916	110
20255	Spirometry QC measure	0	2	0	21	11	0	3	0	0	0		100020	1506	0	0	0	0	0	Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27	2018-05-02	379411	379411	210
20256	Forced expiratory volume in 1-second (FEV1) Z-score	0	2	0	31	0	0	3	0	0	0	Z	100020	0	0	0	0	0	0	Inverted GLI 2012 z-score for FEV1 (forced expiratory volume). <p> Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27	2018-05-02	379411	379411	390
20257	Forced vital capacity (FVC) Z-score	0	2	0	31	0	0	3	0	0	0	Z	100020	0	0	0	0	0	0	Inverted GLI 2012 z-score for FVC (forced vital capacity). <p> Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27	2018-05-02	379411	379411	330
20258	FEV1/ FVC ratio Z-score	0	2	0	31	0	0	3	0	0	0	Z	100020	0	0	0	0	0	0	Inverted GLI 2012 z-score for FEV1/FVC ratio. <p> Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27	2018-05-02	379411	379411	400
20259	Pancreas Images - ShMoLLI - DICOM	0	3	0	41	0	20	0	0	0	0		131	0	0	2	2	0	0	DICOM images of the pancreas collected using a T1 Shortened Modified Look-Locker Inversion (ShMoLLI) sequence.	2018-05-09	2019-03-10	24228	24228	0
20260	Pancreas Images - gradient echo - DICOM	0	3	0	41	0	20	0	0	0	0		131	0	0	2	2	0	0	DICOM images of the pancreas collected using a gradient multi echo sequence.	2018-05-09	2019-03-10	24351	24351	0
20261	avMSE	0	0	0	31	0	0	3	0	0	0	dioptres	100017	0	0	0	0	0	0	Specifyies the mean spherical equivalent refractive error, averaged between the fellow eyes, in Dioptres.	2018-05-18	2018-05-23	114712	114712	120
20262	Myopia diagnosis	0	0	0	21	11	0	3	0	0	0		100017	1543	0	0	0	0	0	Myopia classification	2018-05-18	2018-05-23	114712	114712	110
20400	Date of completing mental health questionnaire	0	2	0	51	0	0	0	0	0	0		136	0	0	0	0	0	0	Date of completing UK Biobank online mental health questionnaire.	2016-12-06	2017-07-28	157387	157387	0
20401	Ever addicted to any substance or behaviour	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to or dependent on one or more things, including substances (not cigarettes/coffee) or behaviours (such as gambling)?"	2016-10-25	2017-07-28	157356	157356	130
20403	Amount of alcohol drunk on a typical drinking day	0	2	0	21	11	0	0	0	0	0		142	522	0	0	0	0	0	Question asked: "In the next two questions, a "drink" is defined as one unit of alcohol. How many drinks containing alcohol do you have on a typical day when you are drinking?" <p>Question was asked when ~F20414~ was not Never.	2016-10-25	2017-07-28	143670	143670	110
20404	Ever physically dependent on alcohol	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been physically dependent on alcohol?" <p>Question was asked when ~F20406~ was Yes.	2016-10-25	2017-07-28	3593	3593	190
20405	Ever had known person concerned about, or recommend reduction of, alcohol consumption	0	2	0	21	11	0	0	0	0	0		142	524	0	0	0	0	0	Question asked: "Has a relative or friend or a doctor or another health worker been concerned about your drinking or suggested you cut down?"	2016-10-25	2017-07-28	157356	157356	190
20406	Ever addicted to alcohol	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to alcohol?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25	2017-07-28	9384	9384	120
20407	Frequency of failure to fulfil normal expectations due to drinking alcohol in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you failed to do what was normally expected from you because of drinking?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25	2017-07-28	85199	85199	140
20408	Frequency of memory loss due to drinking alcohol in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you been unable to remember what happened the night before because you had been drinking?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25	2017-07-28	85199	85199	170
20409	Frequency of feeling guilt or remorse after drinking alcohol in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you had a feeling of guilt or remorse after drinking?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25	2017-07-28	85199	85199	160
20410	Age when known person last commented about drinking habits	0	2	0	11	0	0	0	0	0	0		142	525	0	0	0	0	0	Question asked: "About how old were you when somebody last commented this way about your drinking habits?" <p>Question was asked when ~F20405~ was Yes.	2016-10-25	2017-07-28	7023	7023	200
20411	Ever been injured or injured someone else through drinking alcohol	0	2	0	21	11	0	0	0	0	0		142	524	0	0	0	0	0	Question asked: "Have you or someone else been injured as a result of your drinking?"	2016-10-25	2017-07-28	157356	157356	180
20412	Frequency of needing morning drink of alcohol after heavy drinking session in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you needed a first drink in the morning to get yourself going after a heavy drinking session?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25	2017-07-28	85199	85199	150
20413	Frequency of inability to cease drinking in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you found that you were not able to stop drinking once you had started?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25	2017-07-28	85199	85199	130
20414	Frequency of drinking alcohol	0	2	0	21	11	0	0	0	0	0		142	521	0	0	0	0	0	Question asked: "How often do you have a drink containing alcohol?"	2016-10-25	2017-07-28	157356	157356	100
20415	Ongoing addiction to alcohol	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Is this addiction ongoing?" <p>Question was asked when ~F20406~ was Yes.	2016-10-25	2017-07-28	3593	3593	200
20416	Frequency of consuming six or more units of alcohol	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "In the next two questions, a "drink" is defined as one unit of alcohol. How often do you have six or more drinks on one occasion?" <p>Question was asked when ~F20414~ was not Never.	2016-10-25	2017-07-28	143670	143670	120
20417	Tense, sore, or aching muscles during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Having tense, sore, or aching muscles?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20418	Impact on normal roles during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	510	0	0	0	0	0	Question asked: "Think about your roles at the time of this episode, including study / employment, childcare and housework, leisure pursuits. How much did these problems interfere with your life or activities?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20419	Difficulty concentrating during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Having difficulty keeping your mind on what you were doing?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20420	Longest period spent worried or anxious	0	2	0	11	0	0	0	0	0	0		140	517	0	0	0	0	0	Question asked: "What is the longest period of time that this kind of worrying has ever continued?" <p>Question was asked when ~F20421~ was Yes.	2016-10-25	2017-07-28	39013	39013	0
20421	Ever felt worried, tense, or anxious for most of a month or longer	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Have you ever had a period lasting one month or longer when most of the time you felt worried, tense, or anxious?"	2016-10-25	2017-07-28	157356	157356	0
20422	More irritable than usual during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: More irritable than usual?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20423	Keyed up or on edge during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Keyed up or on edge?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20425	Ever worried more than most people would in similar situation	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "People differ a lot in how much they worry about things. Did you ever have a time when you worried a lot more than most people would in your situation?"	2016-10-25	2017-07-28	157356	157356	0
20426	Restless during period of worst anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Restless?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20427	Frequent trouble falling or staying asleep during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Often having trouble falling or staying asleep?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20428	Professional informed about anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Did you ever tell a professional about these problems (medical doctor, psychologist, social worker, counsellor, nurse, clergy, or other helping professional)?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20429	Easily tired during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Easily tired?" <p>uestion was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20431	Ever addicted to a behaviour or miscellanous	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to a behaviour (such as gambling) or to anything else we have not mentioned?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25	2017-07-28	9384	9384	110
20432	Ongoing behavioural or miscellanous addiction	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Are these addictions ongoing?" <p>Question was asked when ~F20431~ was Yes.	2016-10-25	2017-07-28	2243	2243	210
20433	Age at first episode of depression	0	2	0	11	0	0	0	0	0	0		138	513	0	0	0	0	0	Question asked: "About how old were you the FIRST time you had a period of two weeks like this? (Whether or not you received any help for it.)" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	130
20434	Age at last episode of depression	0	2	0	11	0	0	0	0	0	0		138	513	0	0	0	0	0	Question asked: "About how old were you the LAST time you had a period of two weeks like this? (Whether or not you received any help for it.)" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	140
20435	Difficulty concentrating during worst depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you have a lot more trouble concentrating than usual?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	180
20436	Fraction of day affected during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	505	0	0	0	0	0	Question asked: "How much of the day did these feelings usually last?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	220
20437	Thoughts of death during worst depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you think a lot about death - either your own, someone else's or death in general?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	370
20438	Duration of worst depression	0	2	0	21	11	0	0	0	0	0		138	509	0	0	0	0	0	Question asked: "About how long altogether did you feel this way? Count the time before, during and after the worst two weeks." <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	190
20439	Frequency of depressed days during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	506	0	0	0	0	0	Question asked: "Did you feel this way" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	230
20440	Impact on normal roles during worst period of depression	0	2	0	21	11	0	0	0	0	0		138	510	0	0	0	0	0	Question asked: "Think about your roles at the time of this episode, including study / employment, childcare and housework, leisure pursuits. How much did these problems interfere with your life or activities?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	240
20441	Ever had prolonged loss of interest in normal activities	0	2	0	21	11	0	0	0	0	0		138	503	0	0	0	0	0	Question asked: "Have you ever had a time in your life lasting two weeks or more when you lost interest in most things like hobbies, work, or activities that usually give you pleasure?"	2016-10-25	2017-07-28	157356	157356	110
20442	Lifetime number of depressed periods	0	2	0	11	0	0	0	0	0	0		138	511	0	0	0	0	0	Question asked: "How many periods did you have in your life lasting two or more weeks where you felt like this?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	250
20445	Depression possibly related to childbirth	0	2	0	21	11	0	0	0	0	0		138	514	0	0	0	0	0	Question asked: "Did this episode occur within months of giving birth? Or has it been suggested you had post-natal depression?" <p>Question was asked for women (only) when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	150
20446	Ever had prolonged feelings of sadness or depression	0	2	0	21	11	0	0	0	0	0		138	503	0	0	0	0	0	Question asked: "Have you ever had a time in your life when you felt sad, blue, or depressed for two weeks or more in a row?"	2016-10-25	2017-07-28	157356	157356	100
20447	Depression possibly related to stressful or traumatic event	0	2	0	21	11	0	0	0	0	0		138	503	0	0	0	0	0	Question asked: "Did this worst period start within two months of the death of someone close to you or after a stressful or traumatic event in your life?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	160
20448	Professional informed about depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you ever tell a professional about these problems (medical doctor, psychologist, social worker, counsellor, nurse, clergy, or other helping professional)?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	260
20449	Feelings of tiredness during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you feel more tired out or low on energy than is usual for you?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	200
20450	Feelings of worthlessness during worst period of depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "People sometimes feel down on themselves, no good, worthless. Did you feel this way?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	210
20453	Ever taken cannabis	0	2	0	21	11	0	0	0	0	0		143	526	0	0	0	0	0	Question asked: "Have you taken CANNABIS (marijuana, grass, hash, ganja, blow, draw, skunk, weed, spliff, dope), even if it was a long time ago?"	2016-10-25	2017-07-28	157356	157356	0
20454	Maximum frequency of taking cannabis	0	2	0	21	11	0	0	0	0	0		143	527	0	0	0	0	0	Question asked: "Considering when you were taking cannabis most regularly, how often did you take it?" <p>Question was asked unless the answer to ~F20453~ was No.	2016-10-25	2017-07-28	34885	34885	0
20455	Age when last took cannabis	0	2	0	11	0	0	0	0	0	0		143	0	0	0	0	0	0	Question asked: "About how old were you when you last had cannabis?" <p>Question was asked unless the answer to ~F20453~ was No.	2016-10-25	2017-07-28	34885	34885	0
20456	Ever addicted to illicit or recreational drugs	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to Illicit or recreational drugs?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25	2017-07-28	9384	9384	140
20457	Ongoing addiction or dependence on illicit or recreational drugs	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Is this addiction or dependence ongoing?" <p>Question was asked when ~F20456~ was Yes.	2016-10-25	2017-07-28	778	778	150
20458	General happiness	0	2	0	21	11	0	0	0	0	0		147	537	0	0	0	0	0	Question asked: "In general how happy are you?"	2016-10-25	2017-07-28	157356	157356	100
20459	General happiness with own health	0	2	0	21	11	0	0	0	0	0		147	537	0	0	0	0	0	Question asked: "In general how happy are you with your HEALTH?"	2016-10-25	2017-07-28	157356	157356	110
20460	Belief that own life is meaningful	0	2	0	21	11	0	0	0	0	0		147	538	0	0	0	0	0	Question asked: "To what extent do you feel your life to be meaningful?"	2016-10-25	2017-07-28	157356	157356	120
20461	Age when first had unusual or psychotic experience	0	2	0	11	0	0	0	0	0	0		144	530	0	0	0	0	0	Question asked: "How old were you (approximately) when you first had one of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25	2017-07-28	7803	7803	0
20462	Distress caused by unusual or psychotic experiences	0	2	0	21	11	0	0	0	0	0		144	531	0	0	0	0	0	Question asked: "How distressing did you find having any of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25	2017-07-28	7803	7803	0
20463	Ever heard an un-real voice	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever hear things that other people said did not exist, like strange voices coming from inside your head talking to you or about you, or voices coming out of the air when there was no one around?"	2016-10-25	2017-07-28	157356	157356	0
20465	Number of times heard an un-real voice	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [hear things]" <p>Question was asked when ~F20463~ was Yes.	2016-10-25	2017-07-28	2777	2777	0
20466	Ever prescribed a medication for unusual or psychotic experiences	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Were you ever prescribed a medication by a health professional for any of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25	2017-07-28	7803	7803	0
20467	Frequency of unusual or psychotic experiences in past year	0	2	0	21	11	0	0	0	0	0		144	529	0	0	0	0	0	Question asked: "How often did any of these experiences happen in the past 1 year (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25	2017-07-28	7803	7803	0
20468	Ever believed in an un-real conspiracy against self	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever believe that there was an unjust plot going on to harm you or to have people follow you, and which your family and friends did not believe existed?"	2016-10-25	2017-07-28	157356	157356	0
20470	Number of times believed in an un-real conspiracy against self	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [plot]" <p>Question was asked when ~F20468~ was Yes.	2016-10-25	2017-07-28	1262	1262	0
20471	Ever seen an un-real vision	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever see something that wasn't really there that other people could not see?"	2016-10-25	2017-07-28	157356	157356	0
20473	Number of times seen an un-real vision	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [see things]" <p>Question was asked when ~F20471~ was Yes.	2016-10-25	2017-07-28	5031	5031	0
20474	Ever believed in un-real communications or signs	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever believe that a strange force was trying to communicate directly with you by sending special signs or signals that you could understand but that no one else could understand (for example through the radio or television)?"	2016-10-25	2017-07-28	157356	157356	0
20476	Number of times believed in un-real communications or signs	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [signs]" <p>Question was asked when ~F20474~ was Yes.	2016-10-25	2017-07-28	1138	1138	0
20477	Ever talked to a health professional about unusual or psychotic experiences	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever talk to a doctor, counsellor, psychiatrist or other health professional about any of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25	2017-07-28	7803	7803	0
20479	Ever thought that life not worth living	0	2	0	21	11	0	0	0	0	0		146	535	0	0	0	0	0	Question asked: "Many people have thoughts that life is not worth living. Have you felt that way?"	2016-10-25	2017-07-28	157356	157356	100
20480	Ever self-harmed	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you deliberately harmed yourself, whether or not you meant to end your life?"	2016-10-25	2017-07-28	157356	157356	130
20481	Self-harmed in past year	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you harmed yourself in the last 12 months, whether or not you meant to end your life?" <p>Question was asked when ~F20480~ was Yes.	2016-10-25	2017-07-28	6872	6872	150
20482	Number of times self-harmed	0	2	0	21	11	0	0	0	0	0		146	536	0	0	0	0	0	Question asked: "How many times have you harmed yourself?" <p>Question was asked when ~F20480~ was Yes.	2016-10-25	2017-07-28	6872	6872	140
20483	Ever attempted suicide	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you harmed yourself with the intention to end your life?" <p>Question was asked when ~F20480~ was Yes.	2016-10-25	2017-07-28	6872	6872	180
20484	Attempted suicide in past year	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Was this in the last 12 months?" <p>Question was asked when ~F20483~ was Yes.	2016-10-25	2017-07-28	3563	3563	190
20485	Ever contemplated self-harm	0	2	0	21	11	0	0	0	0	0		146	535	0	0	0	0	0	Question asked: "Have you contemplated harming yourself (for example by cutting, biting, hitting yourself or taking an overdose)?"	2016-10-25	2017-07-28	157356	157356	110
20486	Contemplated self-harm in past year	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you felt this way in the last 12 months?" <p>Question was asked when ~F20485~ was any Yes.	2016-10-25	2017-07-28	23192	23192	120
20487	Felt hated by family member as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... I felt that someone in my family hated me"	2016-10-25	2017-07-28	157356	157356	120
20488	Physically abused by family as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... People in my family hit me so hard that it left me with bruises or marks"	2016-10-25	2017-07-28	157356	157356	110
20489	Felt loved as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... I felt loved"	2016-10-25	2017-07-28	157356	157356	100
20490	Sexually molested as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... Someone molested me (sexually)"	2016-10-25	2017-07-28	157356	157356	130
20491	Someone to take to doctor when needed as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... There was someone to take me to the doctor if I needed it"	2016-10-25	2017-07-28	157356	157356	140
20492	Longest period of mania or irritability	0	2	0	21	11	0	0	0	0	0		139	515	0	0	0	0	0	Question asked: "What is the longest time that these "high" or "irritable" periods have lasted?" <p>Question was asked when ~F20501~ was Yes or ~F20502~ was Yes.	2016-10-25	2017-07-28	42503	42503	0
20493	Severity of problems due to mania or irritability	0	2	0	21	11	0	0	0	0	0		139	516	0	0	0	0	0	Question asked: "How much of a problem have these "high" or "irritable" periods caused you?" <p>Question was asked when ~F20501~ was Yes or ~F20502~ was Yes.	2016-10-25	2017-07-28	42503	42503	0
20494	Felt irritable or had angry outbursts in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Please indicate how much you have been bothered by that problem in the past month: Feeling irritable or having angry outbursts?" <p>Question was asked when ~F20497~ or ~F20498~ or ~F20495~ was at least "A little bit".	2016-10-25	2017-07-28	71196	71196	300
20495	Avoided activities or situations because of previous stressful experience in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Next is a list of problems and complaints that people sometimes have in response to such extremely stressful experiences. Please indicate how much you have been bothered by that problem in the past month: Avoiding activities or situations because they reminded you of a stressful experience?"	2016-10-25	2017-07-28	157356	157356	280
20496	Felt distant from other people in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Please indicate how much you have been bothered by that problem in the past month: Feeling distant or cut off from other people?" <p>Question was asked when ~F20497~ or ~F20498~ or ~F20495~ was at least "A little bit".	2016-10-25	2017-07-28	71196	71196	290
20497	Repeated disturbing thoughts of stressful experience in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Next is a list of problems and complaints that people sometimes have in response to such extremely stressful experiences. Please indicate how much you have been bothered by that problem in the past month: Repeated, disturbing memories, thoughts, or images of a stressful experience?"	2016-10-25	2017-07-28	157356	157356	260
20498	Felt very upset when reminded of stressful experience in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Next is a list of problems and complaints that people sometimes have in response to such extremely stressful experiences. Please indicate how much you have been bothered by that problem in the past month: Feeling very upset when something reminded you of a stressful experience?"	2016-10-25	2017-07-28	157356	157356	270
20499	Ever sought or received professional help for mental distress	0	2	0	21	11	0	0	0	0	0		137	502	0	0	0	0	0	Question asked: "In your life, did you seek or receive help from a professional (medical doctor, psychologist, social worker, counsellor, nurse, clergy, or other helping professional) for mental distress, psychological problems or unusual experiences?"	2016-10-25	2017-07-28	157356	157356	0
20500	Ever suffered mental distress preventing usual activities	0	2	0	21	11	0	0	0	0	0		137	502	0	0	0	0	0	Question asked: "In your life, have you suffered from a period of mental distress that prevented you from doing your usual activities?"	2016-10-25	2017-07-28	157356	157356	0
20501	Ever had period of mania / excitability	0	2	0	21	11	0	0	0	0	0		139	502	0	0	0	0	0	Question asked: "Have you ever had a period of time when you were feeling so good, "high", "excited", or "hyper" that other people thought you were not your normal self or you were so "hyper" that you got into trouble?"	2016-10-25	2017-07-28	157356	157356	0
20502	Ever had period extreme irritability	0	2	0	21	11	0	0	0	0	0		139	502	0	0	0	0	0	Question asked: "Have you ever had a period of time when you were so irritable that you found yourself shouting at people or starting fights or arguments?"	2016-10-25	2017-07-28	157356	157356	0
20503	Ever addicted to prescription or over-the-counter medication	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to or dependent on prescription or over-the-counter medication?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25	2017-07-28	9384	9384	160
20504	Ongoing addiction or dependence to over-the-counter medication	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Is this addiction or dependence ongoing?" <p>Question was asked when ~F20503~ was Yes.	2016-10-25	2017-07-28	1319	1319	170
20505	Recent easy annoyance or irritability	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Becoming easily annoyed or irritable"	2016-10-25	2017-07-28	157356	157356	0
20506	Recent feelings or nervousness or anxiety	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Feeling nervous, anxious or on edge"	2016-10-25	2017-07-28	157356	157356	0
20507	Recent feelings of inadequacy	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Feeling bad about yourself or that you are a failure or have let yourself or your family down"	2016-10-25	2017-07-28	157356	157356	290
20508	Recent trouble concentrating on things	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Trouble concentrating on things, such as reading the newspaper or watching television"	2016-10-25	2017-07-28	157356	157356	340
20509	Recent inability to stop or control worrying	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Not being able to stop or control worrying"	2016-10-25	2017-07-28	157356	157356	0
20510	Recent feelings of depression	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Feeling down, depressed, or hopeless"	2016-10-25	2017-07-28	157356	157356	280
20511	Recent poor appetite or overeating	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Poor appetite or overeating"	2016-10-25	2017-07-28	157356	157356	320
20512	Recent feelings of foreboding	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Feeling afraid as if something awful might happen"	2016-10-25	2017-07-28	157356	157356	0
20513	Recent thoughts of suicide or self-harm	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Thoughts that you would be better off dead or of hurting yourself in some way"	2016-10-25	2017-07-28	157356	157356	330
20514	Recent lack of interest or pleasure in doing things	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Little interest or pleasure in doing things"	2016-10-25	2017-07-28	157356	157356	310
20515	Recent trouble relaxing	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Trouble relaxing"	2016-10-25	2017-07-28	157356	157356	0
20516	Recent restlessness	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Being so restless that it is hard to sit still"	2016-10-25	2017-07-28	157356	157356	0
20517	Trouble falling or staying asleep, or sleeping too much	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Trouble falling or staying asleep, or sleeping too much"	2016-10-25	2017-07-28	157356	157356	390
20518	Recent changes in speed/amount of moving or speaking	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Moving or speaking so slowly that other people could have noticed?  Or the opposite - being so fidgety or restless that you have been moving around a lot more than usual"	2016-10-25	2017-07-28	157356	157356	270
20519	Recent feelings of tiredness or low energy	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Feeling tired or having little energy"	2016-10-25	2017-07-28	157356	157356	300
20520	Recent worrying too much about different things	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Worrying too much about different things"	2016-10-25	2017-07-28	157356	157356	0
20521	Belittlement by partner or ex-partner as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... A partner or ex-partner repeatedly belittled me to the extent that I felt worthless"	2016-10-25	2017-07-28	157356	157356	170
20522	Been in a confiding relationship as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... I have been in a confiding relationship"	2016-10-25	2017-07-28	157356	157356	150
20523	Physical violence by partner or ex-partner as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... A partner or ex-partner deliberately hit me or used violence in any other way"	2016-10-25	2017-07-28	157356	157356	160
20524	Sexual interference by partner or ex-partner without consent as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... A partner or ex-partner sexually interfered with me, or forced me to have sex against my wishes"	2016-10-25	2017-07-28	157356	157356	180
20525	Able to pay rent/mortgage as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... There was money to pay the rent or mortgage when I needed it"	2016-10-25	2017-07-28	157356	157356	190
20526	Been in serious accident believed to be life-threatening	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been in a serious accident that you believed to be life-threatening at the time"	2016-10-25	2017-07-28	157356	157356	220
20527	Been involved in combat or exposed to war-zone	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been involved in combat or exposed to a war-zone (either in the military or as a civilian)"	2016-10-25	2017-07-28	157356	157356	250
20528	Diagnosed with life-threatening illness	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been diagnosed with a life-threatening illness"	2016-10-25	2017-07-28	157356	157356	240
20529	Victim of physically violent crime	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been attacked, mugged, robbed, or been the victim of a physically violent crime"	2016-10-25	2017-07-28	157356	157356	210
20530	Witnessed sudden violent death	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Witnessed a sudden violent death (eg. murder, suicide, aftermath of an accident)"	2016-10-25	2017-07-28	157356	157356	230
20531	Victim of sexual assault	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been a victim of a sexual assault, whether by a stranger or someone you knew"	2016-10-25	2017-07-28	157356	157356	200
20532	Did your sleep change?	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did your sleep change?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	170
20533	Trouble falling asleep	0	2	0	21	11	0	0	0	0	0		138	508	0	0	0	0	0	Question asked: "Was that: [re sleep change] Trouble falling asleep" <p>Question was asked when ~F20532~ was Yes.	2016-10-25	2017-07-28	60909	60909	380
20534	Sleeping too much	0	2	0	21	11	0	0	0	0	0		138	508	0	0	0	0	0	Question asked: "Was that: [re sleep change] Sleeping too much" <p>Question was asked when ~F20532~ was Yes.	2016-10-25	2017-07-28	60909	60909	350
20535	Waking too early	0	2	0	21	11	0	0	0	0	0		138	508	0	0	0	0	0	Question asked: "Was that: [re sleep change] Waking too early" <p>Question was asked when ~F20532~ was Yes.	2016-10-25	2017-07-28	60909	60909	400
20536	Weight change during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	507	0	0	0	0	0	Question asked: "Did you gain or lose weight without trying, or did you stay about the same weight?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	89040	89040	410
20537	Frequency of difficulty controlling worry during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	519	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. How often did you find it difficult to control your worry?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20538	Worried most days during period of worst anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you worry most days?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20539	Frequency of inability to stop worrying during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	519	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. How often was your worry so strong that you couldn't put it out of your mind no matter how hard you tried?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20540	Multiple worries during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you ever have different worries on your mind at the same time?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20541	Difficulty stopping worrying during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you find it difficult to stop worrying?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20542	Stronger worrying (than other people) during period of worst anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. During that period, was your worry stronger than in other people?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20543	Number of things worried about during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	518	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you usually worry about one particular thing, such as your job security or the failing health of a loved one, or more than one thing?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	48775	48775	0
20544	Mental health problems ever diagnosed by a professional	0	2	0	22	11	0	0	0	1	0		137	1401	0	0	0	1	16	Question asked: "Have you been diagnosed with one or more of the following mental health problems by a professional, even if you don't have it currently? (tick all that apply):"<p>Participant was offered a set of options which have been combined here into a single answer	2016-10-25	2017-07-28	50099	74891	0
20546	Substances taken for depression	0	2	0	22	11	0	0	0	1	0		138	1405	0	0	0	1	3	Question asked: "Did you ever try the following for these problems? (tick all that apply)" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	45718	54590	360
20547	Activities undertaken to treat depression	0	2	0	22	11	0	0	0	1	0		138	1406	0	0	0	1	2	Question asked: "Did you ever try talking therapies for these problems, or other structured activities you regard as therapeutic? Include only those you attended more than once." <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25	2017-07-28	40344	47695	120
20548	Manifestations of mania or irritability	0	2	0	22	11	0	0	0	1	0		139	1407	0	0	0	1	8	Question asked: "Please try to remember a period when you were in a "high" or "irritable" state and select all of the following that apply:" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20501~ was Yes or ~F20502~ was Yes.	2016-10-25	2017-07-28	29055	74871	0
20549	Substances taken for anxiety	0	2	0	22	11	0	0	0	1	0		140	1405	0	0	0	1	3	Question asked: "Did you ever use the following for the worry or the problems it caused? (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	26505	32411	0
20550	Activities undertaken to treat anxiety	0	2	0	22	11	0	0	0	1	0		140	1406	0	0	0	1	2	Question asked: "Did you ever try talking therapies for these problems, or other structured activities you regard as therapeutic? Include only those you attended more than once." <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25	2017-07-28	24214	29165	0
20551	Substance of prescription or over-the-counter medication addiction	0	2	0	22	11	0	0	0	1	0		141	1414	0	0	0	1	3	Question asked: "Was this addiction or dependence to one of the following? (tick all that apply)" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20503~ was Yes.	2016-10-25	2017-07-28	1319	1434	180
20552	Behavioural and miscellaneous addictions	0	2	0	22	11	0	0	0	1	0		141	1415	0	0	0	1	2	Question asked: "Were you addicted to (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20431~ was Yes.	2016-10-25	2017-07-28	2243	2329	100
20553	Methods of self-harm used	0	2	0	22	11	0	0	0	1	0		146	1422	0	0	0	1	6	Question asked: "Have you done any of the following to harm or endanger yourself? (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20480~ was Yes.	2016-10-25	2017-07-28	6872	9542	160
20554	Actions taken following self-harm	0	2	0	22	11	0	0	0	1	0		146	1423	0	0	0	1	5	Question asked: "Following any time when you took an overdose or deliberately tried to harm yourself did you (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20480~ was Yes.	2016-10-25	2017-07-28	4338	9440	170
21000	Ethnic background	0	0	0	21	11	0	3	1	0	0		100065	1001	2	0	2	0	0	This is an amalgam of sequential branching questions asked during the initial Assessment Centre visit as part of the touchscreen questionnaire.	2012-01-10	2016-11-03	501644	533645	2
21001	Body mass index (BMI)	0	0	0	31	0	0	3	1	0	0	Kg/m2	100010	0	2	0	2	0	0	BMI value here is constructed from height and weight measured during the initial Assessment Centre visit. Value is not present if either of these readings were omitted.	2012-01-11	2019-03-10	499520	554330	2
21002	Weight	0	0	0	31	0	0	3	1	0	0	Kg	100010	0	2	0	2	0	0	Weight was measured by a variety of means during the initial Assessment Centre visit. This field amalgamates these values into a single item.	2012-01-11	2019-03-10	499839	554828	1
21003	Age when attended assessment centre	0	0	0	11	0	0	3	1	0	0	years	100024	0	2	0	2	0	0	This is a derived variable based on date of birth and date of attending assessment centre and refers to the age of the participant on the day they attended an Assessment Centre, truncated to whole year part.	2012-01-10	2019-03-10	502537	558426	6
21004	Number of puzzles correct	0	2	0	11	0	0	3	0	0	0	correct-answers	503	0	0	2	2	0	0	Number of puzzles correct, scored from the participant answers in ~F6312~.	2017-11-22	2019-03-10	20181	20181	0
21011	FDA data file (left)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	1	0	1	The fda file contains the compressed fundus image and 3D OCT scan data together with the results of the analysis done by the OCT device for the left eye. File size is typically 5 MB.	2012-01-05	2013-08-20	84800	87602	180
21012	FDS data file (left)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	1	0	1	The fds file contains the raw fundus image and 3D OCT scan data for the left eye. File size is typically 97 MB.	2012-01-05	2013-08-20	83455	86072	200
21013	FDA data file (right)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	1	0	1	The fda file contains the compressed fundus image and 3D OCT scan data together with the results of the analysis done by the OCT device for the right eye. File size is typically 5 MB.	2012-01-05	2013-08-20	85271	88293	190
21014	FDS data file (right)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	1	0	1	The fds file contains the raw fundus image and 3D OCT scan data for the right eye. File size is typically 97 MB.	2012-01-05	2013-08-20	83934	86758	210
21015	Fundus retinal eye image (left)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	1	0	1	The fundus image of the retina of the left eye. Images are stored in PNG-format, approximately 2MB each.	2012-08-28	2017-11-09	84767	87569	100
21016	Fundus retinal eye image (right)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	1	0	1	The fundus image of the retina of the right eye. Images are stored in PNG-format, approximately 2MB each.	2012-08-28	2017-11-09	85246	88267	110
21017	OCT image slices (left)	0	0	0	41	0	20	0	1	1	0		100016	0	2	0	1	0	1	Individual images of OCT slices through left retina in PNG format.	2018-11-08	2018-11-12	84800	87602	120
21018	OCT image slices (right)	0	0	0	41	0	20	0	1	1	0		100016	0	2	0	1	0	1	Individual images of OCT slices through right retina in PNG format.	2018-11-08	2018-11-12	85269	88290	130
21021	Pulse wave Arterial Stiffness index	0	0	0	31	0	0	3	1	0	0		100007	0	2	0	2	0	0	The time between peaks of the waveform (the peak-to-peak time) is divided into the persons height to obtain the Stiffness Index.  This value was calculated outside the Assessment Centre visit as the participant height was not known until after the stiffness device had been used.	2012-01-10	2019-03-10	200295	220951	0
21022	Age at recruitment	0	0	0	11	0	0	3	0	0	0	years	100094	0	0	0	0	0	0	This is a derived variable based on date of birth and date of attending an initial assessment centre and refers to the age of the participant on the day they attended an Initial Assessment Centre, truncated to whole year.	2014-07-15	2014-07-15	502537	502537	0
21023	When digestive health questionnaire completed	0	2	0	61	0	0	0	0	0	0		153	0	0	0	0	0	0	Date and time when online digestive health questionnaire completed.	2018-07-12	2018-08-10	174778	174778	0
21024	Ever diagnosed with IBS	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Have you ever been diagnosed with IBS?"	2018-07-12	2018-08-10	174778	174778	0
21025	Frequency of discomfort/pain in abdomen in last 3 months	0	2	0	21	11	0	0	0	0	0		153	871	0	0	0	0	0	Question asked: "In the last 3 months, how often did you have discomfort or pain anywhere in your abdomen?"	2018-07-12	2018-08-10	174778	174778	0
21026	Discomfort/pain occurring only during menstrual bleed	0	2	0	21	11	0	0	0	0	2		153	1022	0	0	0	0	0	Question asked: "Did this discomfort or pain occur only during your menstrual bleeding and not at other times?" <p> Question was asked to female participants (based on responses to question A2 in the Digestive Health questionnaire, not presented) when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12	2018-08-10	61024	61024	0
21027	Abdominal discomfort/pain for 6 months or longer	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Have you had this discomfort or pain 6 months or longer?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12	2018-08-10	93901	93901	0
21028	Frequency of discomfort/pain getting better or stopping after a bowel movement	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "How often did this discomfort or pain get better or stop after you had a bowel movement?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12	2018-08-10	93901	93901	0
21029	More frequent bowel movements when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, did you have more frequent bowel movements?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12	2018-08-10	93901	93901	0
21030	Less frequent bowel movements when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, did you have less frequent bowel movements?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12	2018-08-10	93901	93901	0
21031	Stools looser when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, were your stools (bowel movements) looser?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12	2018-08-10	93901	93901	0
21032	Frequency of harder stools when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, how often did you have harder stools?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12	2018-08-10	93901	93901	0
21033	Frequency of hard/lumpy stools in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "In the last 3 months, how often did you have hard or lumpy stools?"	2018-07-12	2018-08-10	174778	174778	0
21034	Frequency of loose/mushy/watery stools in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "In the last 3 months, how often did you have loose, mushy or watery stools?"	2018-07-12	2018-08-10	174778	174778	0
21035	Currently (in last 3 months) suffer from abdominal pain	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Do you currently (in the last 3 months) suffer from abdominal (tummy) pain?"	2018-07-12	2018-08-10	174778	174778	0
21036	Severity of current abdominal pain	0	2	0	21	11	0	0	0	0	0		153	408	0	0	0	0	0	Question asked: "How severe is your abdominal pain?" <p> Participants were asked to move the slider to choose a number from 0 to 10, with 0 meaning "no pain" and 10 meaning "very severe". Participants using an older browser were asked to select a button from 0 to 10. <p> Question asked if ~F21035~ was "Yes".	2018-07-12	2018-08-10	50620	50620	0
21037	Number of days (out of 10) with abdominal pain	0	2	0	21	11	0	0	0	0	0		153	913	0	0	0	0	0	Question asked: "Please move the slider to select the number of times that you get the pain every 10 days. For example, if you choose 4 it means that you get pain 4 out of 10 days. If you get pain every day enter 10." <p> Participants using an older browser were asked to select a button from 0 to 10. <p> Question asked if ~F21035~ was "Yes".	2018-07-13	2018-09-10	50620	50620	0
21038	Currently suffer from abdominal distension	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Do you currently suffer from abdominal distension? (bloating, swollen or tight tummy) Women please ignore distension related to your period."	2018-07-13	2018-08-10	174778	174778	0
21039	Severity of current abdominal distension/tightness	0	2	0	21	11	0	0	0	0	0		153	620	0	0	0	0	0	Question asked: "How severe is your abdominal distension/tightness?" <p> Participants were asked to move a slider to choose a number from 0 to 10, with 0 meaning "no distension" and 10 meaning "very severe". Participants using an older browser were asked to select a button from 0 to 10.	2018-07-13	2018-09-10	40667	40667	0
21040	Satisfaction with bowel habits	0	2	0	21	11	0	0	0	0	0		153	616	0	0	0	0	0	Question asked: "How happy/satisfied are you with your bowel habits?" <p> Participants were asked to move a slider to choose a number from 0 to 10, with 0 meaning "very happy" and 10 meaning "very unhappy". Participants using an older browser were asked to select a button from 0 to 10.	2018-07-13	2018-09-10	174778	174778	0
21041	Degree to which abdominal pain/discomfort/altered bowel habits affect/interfere with life in general	0	2	0	21	11	0	0	0	0	0		153	548	0	0	0	0	0	Question asked: "Please indicate how much abdominal pain or discomfort or altered bowel habits are affecting or interfering with your life in general." <p> Participants were asked to move a slider to choose a number between 0 to 10, with 0 meaning "not at all" and 10 meaning "completely". Participants using an older browser were asked to select a button from 0 to 10.	2018-07-13	2018-09-10	174778	174778	0
21042	Greatest number of times bowels opened per day	0	2	0	11	0	0	0	0	0	0	times/day	153	584	0	0	0	0	0	Question asked: "What is the greatest number of times you open your bowels per day?" <p> Values entered here were restricted to the range 1 to 40.	2018-07-13	2018-08-10	174778	174778	0
21043	Least number of times bowels opened per week	0	2	0	11	0	0	0	0	0	0	times/week	153	584	0	0	0	0	0	Question asked: "What is the least number of times you open your bowels per week?" <p> Values entered here were restricted to the range 0 to 150.	2018-07-13	2018-08-10	174778	174778	0
21044	Average number of times bowels opened per day	0	2	0	11	0	0	0	0	0	0	times/day	153	584	0	0	0	0	0	Question asked: "What is the average number of times you open your bowels per day?" <p> Values entered here were restricted to the range 0 to 20.	2018-07-13	2018-08-10	174778	174778	0
21045	Number of weeks absent from work due to IBS, in the last year	0	2	0	11	0	0	0	0	0	0	weeks	153	957	0	0	0	0	0	Question asked: "In the last year approximately how many weeks were you absent from work due to IBS?" <p> Participants were asked to answer 0 if they had IBS but it did not prevent them from going to work.	2018-07-13	2018-09-10	21362	21362	0
21046	When gave up work due to IBS	0	2	0	51	0	0	0	0	0	0		153	586	0	0	0	0	0	Question asked when the participant had given up work due to IBS. <p> The reported month and year have been converted into a date with the date in the month given as the 1st. For participants who provided the year only (i.e. without a month) a value of 1st July was used. <p> Question asked if ~F21024~ was "Yes" and ~F21045~ was "Given up work because of IBS".	2018-07-13	2018-08-10	150	150	0
21047	Number of weeks (in the last year) at work suffering because of IBS	0	2	0	11	0	0	0	0	0	0	weeks	153	42	0	0	0	0	0	Question asked how many weeks (in the last year) the participant was at work suffering because of IBS. <p> <ul> <li>Participants where instructed to enter 0 if IBS did not affect them at work in the last year</li> <li>Participants were instructed to enter 52 if IBS affects them at work all the time.</li> </ul> Question asked if ~F21024~ was "Yes" and ~F21045~ was neither "Given up work because of IBS" nor "Do not work".	2018-07-13	2018-08-10	8370	8370	0
21048	Degree bothered by back pain in the past 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by back pain?"	2018-07-13	2018-08-10	174778	174778	0
21049	Degree bothered by pain in arms/legs/joints in the past 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by pain in your arms, legs or joints (knees, hips etc)?"	2018-07-13	2018-08-10	174778	174778	0
21050	Degree bothered by menstrual cramps or other problems with period in the last 3 months	0	2	0	21	11	0	0	0	0	2		153	1018	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by menstrual cramps or other problems with your periods?" <p> This question was asked to women only.	2018-07-13	2018-08-10	99292	99292	0
21051	Degree bothered by headaches in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by headaches?"	2018-07-13	2018-08-10	174778	174778	0
21052	Degree bothered by chest pain in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by chest pain?"	2018-07-13	2018-08-10	174778	174778	0
21053	Degree bothered by dizziness in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by dizziness?"	2018-07-13	2018-08-10	174778	174778	0
21054	Degree bothered by fainting spells in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by fainting spells?"	2018-07-13	2018-08-10	174778	174778	0
21055	Degree bothered by feeling heart pound/race in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by feeling your heart pound or race?"	2018-07-13	2018-08-10	174778	174778	0
21056	Degree bothered by shortness of breath in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by shortness of breath?"	2018-07-13	2018-08-10	174778	174778	0
21057	Degree bothered by pain/problems during intercourse in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	1018	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by pain or problems during intercourse?"	2018-07-13	2018-08-10	174778	174778	0
21058	Degree bothered by urinary frequency/bladder irritability in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by urinary frequency or bladder irritability?"	2018-07-13	2018-08-10	174778	174778	0
21059	Degree bothered by nausea in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by nausea?"	2018-07-13	2018-08-10	174778	174778	0
21060	Degree bothered by feeling tired all the time in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by feeling tired all the time or having low energy?"	2018-07-13	2018-08-10	174778	174778	0
21061	Degree bothered by trouble sleeping in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by trouble sleeping?"	2018-07-13	2018-08-10	174778	174778	0
21062	Ever been offered/sought treatment for anxiety	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Have you ever been offered or sought treatment for anxiety?"	2018-07-13	2018-08-10	174778	174778	0
21063	Ever been offered/sought treatment for depression	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Have you ever been offered or sought treatment for depression?"	2018-07-13	2018-08-10	174778	174778	0
21064	Sensitive stomach	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Do you have a sensitive stomach?"	2018-07-13	2018-08-10	174778	174778	0
21065	Family history of IBS	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Do you have a family history of IBS in your parents/siblings/children?"	2018-07-13	2018-08-10	174778	174778	0
21066	Born by caesarian section	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Were you born by caesarian section?"	2018-07-13	2018-08-10	174778	174778	0
21067	Long-term/recurrent antibiotics as child or teenager	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "During childhood or as a teenager did you receive long-term or recurrent courses (3 or more per year) of antibiotics (for example for tonsillitis or acne)?"	2018-07-13	2018-08-10	174778	174778	0
21068	Diagnosed with coeliac disease or gluten sensitivity	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Have you been diagnosed with coeliac disease/gluten sensitivity?"	2018-07-13	2018-08-10	174778	174778	0
21069	Method of coeliac disease/gluten sensitivity diagnosis	0	2	0	21	11	0	0	0	0	0		153	1862	0	0	0	0	0	Question asked: "When you were diagnosed with coeliac disease/gluten sensitivity, was this" and user was presented with the options listed in ~C1862~. <p> Question asked if ~F21068~ was "Yes".	2018-07-13	2018-08-10	3262	3262	0
21070	Speed of onset of IBS symptoms	0	2	0	21	11	0	0	0	0	0		153	2730	0	0	0	0	0	Question asked: "Did your IBS symptoms start suddenly, over one or a few days, or did they come on gradually?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13	2018-08-10	21362	21362	0
21071	Infectious illness diagnosis status when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), were you diagnosed with an infectious illness ('tummy bug')?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13	2018-08-10	21362	21362	0
21072	Infection diagnosed alongside IBS when IBS symptoms began	0	2	0	21	11	0	0	0	0	0		153	7310	0	0	0	0	0	Question asked the participant to select the infection they had had prior to IBS from a list in ~C7310~. <p> Question asked if both ~F21024~ was "Yes" and ~F21071~ was "Yes".	2018-07-13	2018-08-10	2118	2118	0
21073	Fever when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have a fever?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13	2018-08-10	21362	21362	0
21074	Diarrhoea when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have diarrhoea?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13	2018-08-10	21362	21362	0
21075	Bloody diarrhoea when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	1021	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have bloody diarrhoea?" <p> Question asked if both ~F21024~ was "Yes" and ~F21074~ was "Yes".	2018-07-13	2018-08-10	10744	10744	0
21076	Vomiting when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have vomiting?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13	2018-08-10	21362	21362	0
21711	Reception authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	502432	558424	0
21721	Consent authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	502536	538188	0
21722	Touchscreen authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	501601	557285	0
21723	Touchscreen cognitive authorisation (pilot)	0	2	0	21	11	0	2	0	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2018-01-11	3717	3717	0
21725	Touchscreen cognitive authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	21482	21482	0
21731	Verbal interview authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	501687	554606	0
21732	Pilot Spirometry authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2018-01-11	3741	3741	0
21733	Measurement/Impedance authorisation (pilot)	0	2	0	21	11	0	2	0	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2018-01-11	3751	3751	0
21734	Biometrics authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	497949	552241	0
21736	Eye measures authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	1	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2018-01-12	133942	138211	0
21738	ECG during exercise authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	1	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2018-01-12	96562	99534	0
21741	Urine collection authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2018-01-11	3716	3716	0
21742	Sample collection authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	501353	557018	0
21751	Conclusion authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	501866	557791	0
21761	Imaging screening authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	35639	35639	0
21762	Brain MRI authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	35010	35010	0
21763	Chest MRI authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	35051	35051	0
21764	DXA assessment authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	35514	35514	0
21765	Carotid ultrasound authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	35452	35452	0
21766	ECG at rest authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	35225	35225	0
21771	Cardiac monitor authorisation	0	2	0	21	11	0	2	0	0	0		127	123	2	2	2	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10	2019-03-10	14086	14086	0
21811	Reception sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	502432	558424	0
21821	Consent sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	502536	538188	0
21822	Touchscreen sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	501601	557285	0
21823	Touchscreen cognitive sign-off timestamp (pilot)	0	2	0	61	0	0	2	0	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2018-01-11	3717	3717	0
21825	Touchscreen cognitive sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	21482	21482	0
21831	Verbal nterview sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	501687	554606	0
21832	Pilot Spirometry sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2018-01-11	3741	3741	0
21833	Measurement/Impedance sign-off timestamp (pilot)	0	2	0	61	0	0	2	0	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2018-01-11	3751	3751	0
21834	Biometrics sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	497949	552241	0
21836	Eye measures sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	1	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2018-01-11	133942	138211	0
21838	ECG during exercise sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	1	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2018-01-11	96562	99534	0
21841	Urine collection sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off the urine collection stage as having been completed correctly. <p> Note that urine collection only existed as separate stage during the initial pilot phase. In the later clinics it was subsumed into the Conclusion stage (~F21851~).	2018-01-10	2018-01-11	3716	3716	0
21842	Sample collection sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	501353	557018	0
21851	Conclusion sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	501866	557791	0
21861	Imaging screening sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	35639	35639	0
21862	Brain MRI sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	35010	35010	0
21863	Chest MRI sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	35051	35051	0
21864	DXA assessment sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	35514	35514	0
21865	Carotid ultrasound sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	35452	35452	0
21866	ECG at rest sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	35225	35225	0
21871	Cardiac monitor sign-off timestamp	0	2	0	61	0	0	2	0	0	0		129	0	2	2	2	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10	2019-03-10	14086	14086	0
22000	Genotype measurement batch	0	2	0	21	11	0	0	0	0	0		100313	22000	0	0	0	0	0	Genotyping was done using two closely related arrays, referred to as the UK BiLEVE array and the UK Biobank Axiom array. The BiLEVE array was designed first and run on ~50,000 participants. The UKB Axiom array was designed subsequently with a view to maximizing marker overlap as much as possible between the arrays and run on the remaining ~450,000 participants. The UKB Axiom array had over 820,000 SNPs and indel markers, and the UK BiLEVE array was very similar with over 95% common content. <p> Samples were analysed in batches of approximately 4700 items. Interim results from first 33 batches (UKBiLEVE_b1-11 and Batch_b001-022) were released 18 months ahead of the remainder. The CEL files from these interim batches were subsequently re-analysed as part of the QC process for the full release, and this resulted in minor changes to the associated calls.	2014-07-28	2017-04-26	488288	488288	100
22001	Genetic sex	0	0	0	21	11	0	0	0	0	0		100313	9	0	0	0	0	0	Sex as determined from genotyping analysis. <p> In a small number (38) of cases the genetic sex currently listed differs from that calculated at the earlier 'Interim 150K' release. The new values are the result of re-genotyping these samples as they were felt to be of insufficient quality, and the genetic sex now agrees with the self-reported gender in ~F31~. <p> Note that in over 300 cases the genetic sex differs from the self-reported value in ~F31~.	2014-08-26	2017-05-23	488288	488288	130
22002	CEL files	0	2	0	41	0	20	0	0	0	0		100313	0	0	0	0	0	0	CEL files	2014-09-17	2017-06-30	488288	488288	310
22003	Heterozygosity	0	2	0	31	0	0	3	0	0	0	Fraction	100313	0	0	0	0	0	0	Heterozygosity across a set of high-quality markers. See genotype QC documentation (~R530~) for details.	2015-01-29	2017-05-23	488288	488288	180
22004	Heterozygosity, PCA corrected	0	3	0	31	0	0	3	0	0	0	Fraction	100313	0	0	0	0	0	0	Heterozygosity after adjusting for ancestry using principal components. This metric was used to identify outliers based on heterozygosity and missing rates. See genotype QC documentation (~R530~) for details.	2015-01-29	2017-05-23	488288	488288	190
22005	Missingness	0	2	0	31	0	0	3	0	0	0	Fraction	100313	0	0	0	0	0	0	Missing rate of each sample based on a set of high-quality markers.	2015-01-29	2017-05-23	488288	488288	200
22006	Genetic ethnic grouping	0	2	0	21	11	0	3	0	0	0		100313	1002	0	0	0	0	0	Genetic ethnic group. <p> Indicates samples who self-identified as 'White British' according to ~F21000~ and have very similar genetic ancestry based on a principal components analysis of the genotypes.	2015-01-30	2017-05-23	409629	409629	150
22007	Genotype measurement plate	0	2	0	41	0	0	0	0	0	0		100313	0	0	0	0	0	0	This field indicates on which 96-well plate a particular sample was measured.	2015-02-02	2017-04-26	488288	488288	110
22008	Genotype measurement well	0	2	0	41	0	0	0	0	0	0		100313	0	0	0	0	0	0	Genotype measurements were conducted using 96-well plates. This field indicates the position within a plate of the well used to contain a particular participants sample.	2015-02-02	2017-04-26	488288	488288	120
22009	Genetic principal components	0	2	0	31	0	0	3	0	1	0	Units	100313	0	0	0	0	1	40	Score for each principal component 1-40. See genotype QC documentation in ~R530~ for details.	2015-02-04	2017-07-14	488288	19531520	210
22010	Recommended genomic analysis exclusions	0	2	0	21	11	0	3	0	0	0		199001	1101	0	0	0	0	0	During processing of the genotype data it was deemed that certain samples showed signs of insufficient data quality, and it is recommend their genotype data should not be included in analyses such as GWAS. This field identifies these samples and the reason(s) for recommending their exclusion. Details of the analysis used to detect these samples will be given in forthcoming documentation.	2015-02-11	2015-02-16	480	480	200
22011	Genetic relatedness pairing	0	2	0	11	0	0	3	0	1	0		199001	0	0	0	0	0	4	This field is used to identify pairs of participants who are estimated to be genetically related. <p>Because each set of data distributed to researchers is anonymised differently it is impractical to provide an individually customised list of related participants IDs. Instead, each pairing of related participants is assigned a unique number, and the pairings can be reconstructed by identifying participants who share the same number. <p>The strength of the inferred relationship is indicated in ~F22012~ and ~F22013~.	2015-03-23	2015-03-23	17304	19379	120
22012	Genetic relatedness factor	0	2	0	31	0	0	3	0	1	0		199001	0	0	0	0	0	4	This field gives the kinship coefficient associated with each pair of participants who have the same value for the Genetic relatedness pairing in ~F22011~.	2015-03-23	2015-03-23	17304	19379	140
22013	Genetic relatedness IBS0	0	2	0	31	0	0	3	0	1	0		199001	0	0	0	0	0	4	This field gives the IBS0 value associated with each pair of participants who have the same value for the Genetic relatedness pairing in ~F22011~. <p> For a pair of genotypes, IBS0 it is the proportion of SNPs where one sample carries two A alleles, and the other carries two B alleles.	2015-03-23	2015-03-23	17304	19379	150
22014	Average X chromosome intensities for determining sex	1	2	0	31	0	0	3	0	0	0	Units	100317	0	0	0	0	0	0	Average intensities for variants on the X chromosome used for determining genetic sex.	2015-05-01	2015-05-26	152692	152692	350
22015	Average Y chromosome intensities for determining sex	1	2	0	31	0	0	3	0	0	0	units	100317	0	0	0	0	0	0	Average intensities for variants on the Y chromosome used for determining genetic sex.	2015-05-01	2015-05-26	152692	152692	360
22016	Invitation to complete online occupational questionnaire, date sent	0	2	0	51	0	0	0	0	0	0		123	0	0	0	0	0	0	Dates that invitations to online occupational health questionnaire were emailed to participants.	2015-07-30	2000-01-01	-1	-1	680
22017	Invitation to complete online cognitive function questionnaire, date sent	0	0	0	51	0	0	0	0	0	0		116	0	0	0	0	0	0	Dates that invitations to online cognitive function questionnaire were emailed to participants.	2015-07-30	2000-01-01	-1	-1	110
22018	Genetic relatedness exclusions	0	2	0	21	11	0	3	0	0	0		199001	947	0	0	0	0	0	This field identifies the persons excluded from the calculations of genetic relatedness and gives the reasons for their exclusion.	2016-02-09	2016-02-09	1532	1532	130
22019	Sex chromosome aneuploidy	0	0	0	21	11	0	3	0	0	0		100313	1	0	0	0	0	0	Sex chromosome aneuploidy marker. This indicates samples which were identified as putatively carrying sex chromosome configurations that are not either XX or XY. These were identified by looking at average log2Ratios for Y and X chromosomes.	2017-05-23	2017-05-23	651	651	160
22020	Used in genetic principal components	0	0	0	21	11	0	2	0	0	0		100313	1	0	0	0	0	0	Indicates participants whose samples were used to compute the genetic principal components in ~F22009~. All samples with genotype data were subsequently projected onto each of the 40 computed components.	2017-05-23	2017-05-23	407146	407146	220
22021	Genetic kinship to other participants	0	0	0	21	11	0	3	0	0	0		100313	682	0	0	0	0	0	Genetic kinship to other participants	2017-05-23	2017-05-23	488288	488288	140
22022	Sex inference X probe-intensity	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix metric used for determining sex. Measures average probe intensity on a set of non-polymorphic probes on the X chromosome. Note this set of probes are not in the genotype calls.	2017-05-23	2017-05-23	488288	488288	230
22023	Sex inference Y probe-intensity	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix metric used for determining sex. Measures average probe intensity on a set of non-polymorphic probes on the Y chromosome. Note this set of probes are not in the genotype calls.	2017-05-23	2017-05-23	488288	488288	240
22024	DNA concentration	0	0	0	31	0	0	1	0	0	0	ng/micro-l	100313	0	0	0	0	0	0	Measure of DNA concentration in sample used by Affymetrix to determine genotypes. Labelled in dataset as Internal.Pico..ng.uL.	2017-05-23	2017-05-23	488288	488288	270
22025	Affymetrix quality control metric "Cluster.CR"	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix quality control metric. Corresponds to sample-specific call rate for each individual, computed using probesets internal to Affymetrix.	2017-05-23	2017-05-23	488288	488288	250
22026	Affymetrix quality control metric "dQC"	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix quality control metric. Measures the resolution of the distributions of intensity 'contrast' values, based on intensities of probe sequences for non-polymorphic genome locations. See Affymetrix SNP-polisher documentation for details. Note that values were rounded to 2 decimal places for individuals type on the UKBiobank array, and 5 decimal places for individuals typed on the UKBiLEVE array.	2017-05-23	2017-05-23	488288	488288	260
22027	Outliers for heterozygosity or missing rate	0	0	0	21	11	0	3	0	0	0		100313	1	0	0	0	0	0	Indicates samples identified as outliers in heterozygosity and missing rates, which implies that the genotypes for these samples are of poor quality.	2017-05-25	2017-05-25	968	968	170
22028	Use in phasing Chromosomes 1-22	0	0	0	21	11	0	1	0	0	0		100313	100264	0	0	0	0	0	Indicates whether data from a participant was used in phasing calculation for Chromosomes 1-22.	2017-07-24	2017-07-24	488288	488288	280
22029	Use in phasing Chromosome X	0	0	0	21	11	0	1	0	0	0		100313	100264	0	0	0	0	0	Indicates whether data from a participant was used in phasing calculation for Chromosome X.	2017-07-24	2017-07-24	488288	488288	290
22030	Use in phasing Chromosome XY	0	0	0	21	11	0	1	0	0	0		100313	100264	0	0	0	0	0	Indicates whether data from a participant was used in phasing calculation for Chromosome XY.	2017-07-24	2017-07-24	488288	488288	300
22032	IPAQ activity group	0	0	0	21	11	0	3	0	0	0		54	100700	2	0	0	0	0	IPAQ groups	2018-01-25	2018-05-04	402400	402400	0
22033	Summed days activity	0	0	0	11	0	0	3	0	0	0	days	54	0	2	0	0	0	0	Sum of days performing walking, moderate and vigorous activity.	2018-01-25	2018-05-04	414060	414060	0
22034	Summed minutes activity	0	0	0	11	0	0	3	0	0	0	minutes	54	0	2	0	0	0	0	Sum of mins performing walking, moderate and vigorous activity.	2018-01-25	2018-05-04	402400	402400	0
22035	Above moderate/vigorous recommendation	0	0	0	21	11	0	3	0	0	0		54	7	2	0	0	0	0	Indicates whether a person met the 2017 UK Physical activity guidelines of 150 minutes of moderate activity per week or 75 minutes of vigorous activity.	2018-01-25	2018-05-04	402400	402400	0
22036	Above moderate/vigorous/walking recommendation	0	0	0	21	11	0	3	0	0	0		54	7	2	0	0	0	0	Indicates whether a person met the 2017 UK Physical activity guidelines of 150 minutes of walking or moderate activity per week or 75 minutes of vigorous activity.	2018-01-25	2018-05-04	402288	402288	0
22037	MET minutes per week for walking	0	0	0	31	0	0	3	0	0	0	minutes/week	54	0	2	0	0	0	0	Metabolic Equivalent Task (MET) minutes per week for walking.	2018-01-25	2018-05-04	402400	402400	0
22038	MET minutes per week for moderate activity	0	0	0	31	0	0	3	0	0	0	minutes/week	54	0	2	0	0	0	0	Metabolic Equivalent Task (MET) minutes per week for moderate activity.	2018-01-25	2018-05-04	402400	402400	0
22039	MET minutes per week for vigorous activity	0	0	0	31	0	0	3	0	0	0	minutes/week	54	0	2	0	0	0	0	Metabolic Equivalent Task (MET) minutes per week for vigorous activity.	2018-01-25	2018-05-04	402400	402400	0
22040	Summed MET minutes per week for all activity	0	0	0	31	0	0	3	0	0	0	minutes/week	54	0	2	0	0	0	0	Total Metabolic Equivalent Task (MET) minutes per week for all activity including walking, moderate and vigorous activity.	2018-01-25	2018-05-04	402400	402400	0
22050	UKBiLEVE Affymetrix quality control for samples	1	0	0	21	11	0	0	0	0	0		199001	100	0	0	0	0	0	Sample quality control undertaked by Affymetrix was a DNA quality filter (dish quality control &lt; 0.82) and initial clustering call rate (&lt;97%). 520 duplicates passed Affymetrix quality control in both samples, 33 passed Affymetrix quality control in 1 sample, 0 duplicates failed Affymetrix quality control in both samples. Therefore keeping 1 of each duplicate (the 1 that passed) 50,008 unique samples were present. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	49993	49993	0
22051	UKBiLEVE genotype quality control for samples	0	0	0	21	11	0	0	0	0	0		199001	100	0	0	0	0	0	Quality control steps carried out in Leicester (the location of the UKBiLEVE project) were: <ul> <li>sex mismatch (remove sample if submitted gender is different to gender inferred from sex chromosomes);</li> <li>final call rate (&lt;95%), heterozygosity outliers (outlier if &gt; 3sd from mean heterozygosity);</li> <li>unintended duplicate (> 98% of alleles shared identical by descent);</li> <li>ancestry principal components outlier (outlier if &gt;10sd from mean on first 10 principal components).</li> </ul> <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	49993	49993	0
22052	UKBiLEVE unrelatedness indicator	0	0	0	21	11	0	0	0	0	0		199001	101	0	0	0	0	0	Indicates whether a UKBiLEVE sample may be included in a subset of unrelated UKBiLEVE samples. Samples were coded as "Not_tested" if they failed Affymetrix quality control (~F22050~) or Leicester quality control (~F22051~). <p> ~F22011~ should be used if the set of participants being analysed included non-UKBiLEVE samples. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30	2015-03-31	49993	49993	210
22100	Chromosome XY genotype results	0	0	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome XY (pseduo-autosomal regions) genotype results.	2017-04-18	2017-07-21	488288	488288	340
22101	Chromosome 1 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 1 genotype results.	2014-08-26	2017-07-21	488288	488288	100
22102	Chromosome 2 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 2 genotype results.	2014-08-26	2017-07-21	488288	488288	110
22103	Chromosome 3 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 3 genotype results.	2014-08-26	2017-07-21	488288	488288	120
22104	Chromosome 4 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 4 genotype results.	2014-08-26	2017-07-21	488288	488288	130
22105	Chromosome 5 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 5 genotype results.	2014-08-26	2017-07-21	488288	488288	140
22106	Chromosome 6 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 6 genotype results.	2014-08-26	2017-07-21	488288	488288	150
22107	Chromosome 7 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 7 genotype results.	2014-08-26	2017-07-21	488288	488288	160
22108	Chromosome 8 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 8 genotype results.	2014-08-26	2017-07-21	488288	488288	170
22109	Chromosome 9 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 9 genotype results.	2014-08-26	2017-07-21	488288	488288	180
22110	Chromosome 10 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 10 genotype results.	2014-08-26	2017-07-21	488288	488288	190
22111	Chromosome 11 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 11 genotype results.	2014-08-26	2017-07-21	488288	488288	200
22112	Chromosome 12 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 12 genotype results.	2014-08-26	2017-07-21	488288	488288	210
22113	Chromosome 13 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 13 genotype results.	2014-08-26	2017-07-21	488288	488288	220
22114	Chromosome 14 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 14 genotype results.	2014-08-26	2017-07-21	488288	488288	230
22115	Chromosome 15 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 15 genotype results.	2014-08-26	2017-07-21	488288	488288	240
22116	Chromosome 16 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 16 genotype results.	2014-08-26	2017-07-21	488288	488288	250
22117	Chromosome 17 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 17 genotype results.	2014-08-26	2017-07-21	488288	488288	260
22118	Chromosome 18 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 18 genotype results.	2014-08-26	2017-07-21	488288	488288	270
22119	Chromosome 19 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 19 genotype results.	2014-08-26	2017-07-21	488288	488288	280
22120	Chromosome 20 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 20 genotype results.	2014-08-26	2017-07-21	488288	488288	290
22121	Chromosome 21 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 21 genotype results.	2014-08-26	2017-07-21	488288	488288	300
22122	Chromosome 22 genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 22 genotype results.	2014-08-26	2017-07-21	488288	488288	310
22123	Chromosome X genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome X genotype results. <p> Note that ~R1007~ should be used when examining SNP posterior data for Chromosome X.	2014-08-26	2017-07-21	488288	488288	320
22124	Chromosome Y genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome Y genotype results.	2014-08-26	2017-07-21	488288	488288	330
22125	Mitochondrial genotype results	0	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Mitochondrial genotype results.	2014-08-26	2017-07-21	488288	488288	350
22126	Doctor diagnosed hayfever or allergic rhinitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"hayfever or allergic rhinitis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	290
22127	Doctor diagnosed asthma	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"asthma" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	220
22128	Doctor diagnosed emphysema	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"emphysema" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	270
22129	Doctor diagnosed chronic bronchitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"chronic bronchitis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	240
22130	Doctor diagnosed COPD (chronic obstructive pulmonary disease)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"COPD (Chronic Obstructive Pulmonary Disease)" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	250
22131	Doctor diagnosed cystic fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"cystic fibrosis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	260
22132	Doctor diagnosed alpha-1 antitrypsin deficiency	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"alpha-1 antitrypsin deficiency" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	200
22133	Doctor diagnosed sarcoidosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"sarcoidosis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	330
22134	Doctor diagnosed bronchiectasis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"bronchiectasis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	230
22135	Doctor diagnosed idiopathic pulmonary fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"idiopathic pulmonary fibrosis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	300
22136	Doctor diagnosed fibrosing alveolitis/unspecified alveolitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"fibrosing alveolitis/unspecified alveolitis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	280
22137	Doctor diagnosed tuberculosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"tuberculosis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	350
22138	Doctor diagnosed silicosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"silicosis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	340
22139	Doctor diagnosed asbestosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"asbestosis" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	210
22140	Doctor diagnosed lung cancer (not mesothelioma)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"lung cancer (not mesothelioma)" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	310
22141	Doctor diagnosed mesothelioma of the lung	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"mesothelioma of the lung" was one of the options listed.	2015-07-10	2017-07-27	121283	121283	320
22146	Age hayfever or allergic rhinitis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed hayfever or allergic rhinitis	2015-07-10	2017-07-27	27704	27704	450
22147	Age asthma diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed asthma	2015-07-10	2017-07-27	15492	15492	380
22148	Age emphysema diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed emphysema	2015-07-10	2017-07-27	365	365	430
22149	Age chronic bronchitis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed chronic bronchitis	2015-07-10	2017-07-27	1383	1383	400
22150	Age COPD (Chronic Obstructive Pulmonary Disease) diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed COPD (Chronic Obstructive Pulmonary Disease)	2015-07-10	2017-07-27	1768	1768	410
22151	Age cystic fibrosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed cystic fibrosis	2015-07-10	2016-01-29	9	9	420
22152	Age alpha-1 antitrypsin deficiency diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed alpha-1 antitrypsin deficiency	2015-07-10	2015-11-26	48	48	360
22153	Age sarcoidosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed sarcoidosis	2015-07-10	2017-07-27	529	529	490
22154	Age bronchiectasis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed bronchiectasis	2015-07-10	2017-07-27	1073	1073	390
22155	Age idiopathic pulmonary fibrosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed idiopathic pulmonary fibrosis	2015-07-10	2017-02-03	108	108	460
22156	Age fibrosing alveolitis/unspecified alveolitis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed fibrosing alveolitis/unspecified alveolitis	2015-07-10	2016-01-29	46	46	440
22157	Age tuberculosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed tuberculosis	2015-07-10	2017-07-27	654	654	510
22158	Age silicosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed silicosis	2015-07-10	2015-09-29	8	8	500
22159	Age asbestosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed asbestosis	2015-07-10	2016-09-16	85	85	370
22160	Age lung cancer (not mesothelioma) diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed lung cancer (not mesothelioma)	2015-07-10	2017-07-27	156	156	470
22161	Age mesothelioma of the lung diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed mesothelioma of the lung	2015-07-10	2017-07-27	14	14	480
22166	Recent medication for hayfever or allergic rhinitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the hayfever or allergic rhinitis which was diagnosed by a doctor	2015-07-10	2017-07-27	27704	27704	610
22167	Recent medication for asthma	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the asthma which was diagnosed by a doctor	2015-07-10	2017-07-27	15492	15492	540
22168	Recent medication for emphysema	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the emphysema which was diagnosed by a doctor	2015-07-10	2017-07-27	365	365	590
22169	Recent medication for chronic bronchitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the chronic bronchitis which was diagnosed by a doctor	2015-07-10	2017-07-27	1383	1383	560
22170	Recent medication for COPD (Chronic Obstructive Pulmonary Disease)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the COPD (Chronic Obstructive Pulmonary Disease) which was diagnosed by a doctor	2015-07-10	2017-07-27	1768	1768	570
22171	Recent medication for cystic fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the cystic fibrosis which was diagnosed by a doctor	2015-07-10	2016-01-29	9	9	580
22172	Recent medication for alpha-1 antitrypsin deficiency	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the alpha-1 antitrypsin deficiency which was diagnosed by a doctor	2015-07-10	2015-11-26	48	48	520
22173	Recent medication for sarcoidosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the sarcoidosis which was diagnosed by a doctor	2015-07-10	2017-07-27	529	529	650
22174	Recent medication for bronchiectasis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the bronchiectasis which was diagnosed by a doctor	2015-07-10	2017-07-27	1073	1073	550
22175	Recent medication for idiopathic pulmonary fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the idiopathic pulmonary fibrosis which was diagnosed by a doctor	2015-07-10	2017-02-03	108	108	620
22176	Recent medication for fibrosing alveolitis/unspecified alveolitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the fibrosing alveolitis/unspecified alveolitis which was diagnosed by a doctor	2015-07-10	2016-01-29	46	46	600
22177	Recent medication for tuberculosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the tuberculosis which was diagnosed by a doctor	2015-07-10	2017-07-27	654	654	670
22178	Recent medication for silicosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the silicosis which was diagnosed by a doctor	2015-07-10	2015-09-29	8	8	660
22179	Recent medication for asbestosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the asbestosis which was diagnosed by a doctor	2015-07-10	2016-09-16	85	85	530
22180	Recent medication for lung cancer (not mesothelioma)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the lung cancer (not mesothelioma) which was diagnosed by a doctor	2015-07-10	2017-07-27	156	156	630
22181	Recent medication for mesothelioma of the lung	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the mesothelioma of the lung which was diagnosed by a doctor	2015-07-10	2017-07-27	14	14	640
22182	HLA imputation values	0	2	0	101	0	0	3	0	0	0		100035	0	0	0	0	0	0	Each entry contains all HLA loci (one line per person) in the following order: <p> A, B, C, DRB5, DRB4, DRB3, DRB1, DQB1, DQA1, DPB1, DPA1 <p> There is one value (separated by commas) per imputed allele and only the best-guess alleles are reported. The quantities P(A1|D) and P(A2|D,A1) from the Q column of the HLA:IMP*2 output are reported for each locus. For further information on the calculation methodology and the Quality metric see ~R182~. <p>To extract this data into a single file, approved researchers in possession of a UKB dataset may use -s22182 as a parameter to the ukbconv utility. To download an example row of data see ~R1520~.	2016-03-18	2017-05-19	488288	488288	360
22200	Year of birth	0	2	0	11	0	0	0	0	0	0	calendar year	130	0	0	0	0	0	0	Year of birth as entered by participant.	2015-07-22	2017-07-27	121283	121283	110
22201	Chromosome 1 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 1 genotype probabilities	2014-08-26	2015-04-09	152692	152692	1
22202	Chromosome 2 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 2 genotype probabilities	2014-08-26	2015-04-09	152692	152692	2
22203	Chromosome 3 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 3 genotype probabilities	2014-08-26	2015-04-09	152692	152692	3
22204	Chromosome 4 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 4 genotype probabilities	2014-08-26	2015-04-09	152692	152692	4
22205	Chromosome 5 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 5 genotype probabilities	2014-08-26	2015-04-09	152692	152692	5
22206	Chromosome 6 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 6 genotype probabilities	2014-08-26	2015-04-09	152692	152692	6
22207	Chromosome 7 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 7 genotype probabilities	2014-08-26	2015-04-09	152692	152692	7
22208	Chromosome 8 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 8 genotype probabilities	2014-08-26	2015-04-09	152692	152692	8
22209	Chromosome 9 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 9 genotype probabilities	2014-08-26	2015-04-09	152692	152692	9
22210	Chromosome 10 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 10 genotype probabilities	2014-08-26	2015-04-09	152692	152692	10
22211	Chromosome 11 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 11 genotype probabilities	2014-08-26	2015-04-09	152692	152692	11
22212	Chromosome 12 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 12 genotype probabilities	2014-08-26	2015-04-09	152692	152692	12
22213	Chromosome 13 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 13 genotype probabilities	2014-08-26	2015-04-09	152692	152692	13
22214	Chromosome 14 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 14 genotype probabilities	2014-08-26	2015-04-09	152692	152692	14
22215	Chromosome 15 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 15 genotype probabilities	2014-08-26	2015-04-09	152692	152692	15
22216	Chromosome 16 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 16 genotype probabilities	2014-08-26	2015-04-09	152692	152692	16
22217	Chromosome 17 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 17 genotype probabilities	2014-08-26	2015-04-09	152692	152692	17
22218	Chromosome 18 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 18 genotype probabilities	2014-08-26	2015-04-09	152692	152692	18
22219	Chromosome 19 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 19 genotype probabilities	2014-08-26	2015-04-09	152692	152692	19
22220	Chromosome 20 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 20 genotype probabilities	2014-08-26	2015-04-09	152692	152692	20
22221	Chromosome 21 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 21 genotype probabilities	2014-08-26	2015-04-09	152692	152692	21
22222	Chromosome 22 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 22 genotype probabilities	2014-08-26	2015-04-09	152692	152692	22
22223	Chromosome X genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome X genotype probabilities	2014-08-26	2015-04-09	152692	152692	23
22224	Chromosome Y genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome Y genotype probabilities	2014-08-26	2015-04-09	152692	152692	24
22225	Mitochondrial genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Mitochondrial genotype probabilities	2014-08-26	2015-04-09	152692	152692	25
22297	Analysis date	0	2	0	51	0	0	2	0	0	0		347	0	0	0	0	0	0	This is the date on which the data returned by the monitor was extracted.	2019-02-26	2019-02-26	578	578	0
22298	Impedance	0	2	0	41	0	20	0	0	0	0		347	0	0	0	0	0	0	Impedance	2019-02-26	2000-01-01	-1	-1	0
22299	Acceleration	0	2	0	41	0	20	0	0	0	0		347	0	0	0	0	0	0	Acceleration	2019-02-26	2000-01-01	-1	-1	0
22300	ECG trace	0	2	0	41	0	20	0	0	0	0		347	0	0	0	0	0	0	ECG trace	2019-02-26	2019-02-26	578	578	0
22301	Chromosome 1 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 1 genotype intensities	2014-08-26	2015-04-09	152692	152692	100
22302	Chromosome 2 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 2 genotype intensities	2014-08-26	2015-04-09	152692	152692	110
22303	Chromosome 3 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 3 genotype intensities	2014-08-26	2015-04-09	152692	152692	120
22304	Chromosome 4 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 4 genotype intensities	2014-08-26	2015-04-09	152692	152692	130
22305	Chromosome 5 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 5 genotype intensities	2014-08-26	2015-04-09	152692	152692	140
22306	Chromosome 6 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 6 genotype intensities	2014-08-26	2015-04-09	152692	152692	150
22307	Chromosome 7 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 7 genotype intensities	2014-08-26	2015-04-09	152692	152692	160
22308	Chromosome 8 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 8 genotype intensities	2014-08-26	2015-04-09	152692	152692	170
22309	Chromosome 9 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 9 genotype intensities	2014-08-26	2015-04-09	152692	152692	180
22310	Chromosome 10 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 10 genotype intensities	2014-08-26	2015-04-09	152692	152692	190
22311	Chromosome 11 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 11 genotype intensities	2014-08-26	2015-04-09	152692	152692	200
22312	Chromosome 12 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 12 genotype intensities	2014-08-26	2015-04-09	152692	152692	210
22313	Chromosome 13 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 13 genotype intensities	2014-08-26	2015-04-09	152692	152692	220
22314	Chromosome 14 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 14 genotype intensities	2014-08-26	2015-04-09	152692	152692	230
22315	Chromosome 15 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 15 genotype intensities	2014-08-26	2015-04-09	152692	152692	240
22316	Chromosome 16 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 16 genotype intensities	2014-08-26	2015-04-09	152692	152692	250
22317	Chromosome 17 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 17 genotype intensities	2014-08-26	2015-04-09	152692	152692	260
22318	Chromosome 18 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 18 genotype intensities	2014-08-26	2015-04-09	152692	152692	270
22319	Chromosome 19 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 19 genotype intensities	2014-08-26	2015-04-09	152692	152692	280
22320	Chromosome 20 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 20 genotype intensities	2014-08-26	2015-04-09	152692	152692	290
22321	Chromosome 21 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 21 genotype intensities	2014-08-26	2015-04-09	152692	152692	300
22322	Chromosome 22 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 22 genotype intensities	2014-08-26	2015-04-09	152692	152692	310
22323	Chromosome X genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome X genotype intensities	2014-08-26	2015-04-09	152692	152692	320
22324	Chromosome Y genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome Y genotype intensities	2014-08-26	2015-04-09	152692	152692	330
22325	Mitochondrial genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Mitochondrial genotype intensities	2014-08-26	2015-04-09	152692	152692	340
22330	PQ interval	0	2	0	11	0	0	0	0	0	0	ms	104	0	2	2	2	0	0	PQ interval during ECG	2018-09-25	2018-09-26	23679	23679	180
22331	QT interval	0	2	0	11	0	0	0	0	0	0	ms	104	0	2	2	2	0	0	QT interval during ECG	2018-09-25	2018-09-26	24924	24924	210
22332	QTC interval	0	2	0	11	0	0	0	0	0	0	ms	104	0	2	2	2	0	0	QTC interval during ECG	2018-09-25	2018-09-26	24924	24924	220
22333	RR interval	0	2	0	11	0	0	0	0	0	0	ms	104	0	2	2	2	0	0	RR interval during ECG	2018-09-25	2018-09-26	24924	24924	230
22334	PP interval	0	2	0	11	0	0	0	0	0	0	ms	104	0	2	2	2	0	0	PP interval during ECG	2018-09-25	2018-09-26	24924	24924	170
22335	P axis	0	2	0	11	0	0	0	0	0	0	degrees	104	0	2	2	2	0	0	P axis during ECG	2018-09-25	2018-09-26	23722	23722	240
22336	R axis	0	2	0	11	0	0	0	0	0	0	degrees	104	0	2	2	2	0	0	R axis during ECG	2018-09-25	2018-09-26	24924	24924	250
22337	T axis	0	2	0	11	0	0	0	0	0	0	degrees	104	0	2	2	2	0	0	T axis during ECG	2018-09-25	2018-09-26	24924	24924	260
22338	QRS num	0	2	0	11	0	0	0	0	0	0	units	104	0	2	2	2	0	0	QRS num during ECG	2018-09-25	2018-09-26	24924	24924	190
22400	Liver iron (Fe)	0	2	0	31	0	0	3	0	0	0	mg/g	126	0	2	0	0	0	0	Liver iron (Fe) derived from liver MRI scan.	2015-09-18	2015-10-08	1112	1112	150
22401	Liver inflammation factor (LIF)	0	2	0	31	0	0	3	0	0	0	units	126	0	2	0	0	0	0	Liver inflammation factor (LIF) is measured on a scale of 0 to 4 where 0 is regarded as normal and 4 as indicating high fibrosis.	2015-09-18	2015-10-08	1095	1095	140
22402	Liver fat percentage	0	2	0	31	0	0	3	0	0	0	percent	126	0	2	2	2	0	0	Liver fat percentage is defined as : fat / ( water + fat )	2015-09-18	2018-04-27	4617	4617	130
22403	Anterior thigh lean muscle volume (right)	0	2	0	31	0	0	3	0	0	0	litres	149	0	2	2	2	0	0	Anterior thigh muscles were defined as quadriceps femoris and sartorius.	2015-09-18	2017-10-26	5846	5846	120
22404	Posterior thigh lean muscle volume (right)	0	2	0	31	0	0	3	0	0	0	litres	149	0	2	2	2	0	0	Posterior thigh muscles were defined as gluteus, iliacus, adductor and hamstring muscles.	2015-09-18	2017-10-26	5846	5846	140
22405	Anterior thigh lean muscle volume (left)	0	2	0	31	0	0	3	0	0	0	litres	149	0	2	2	2	0	0	Anterior thigh muscles were defined as quadriceps femoris and sartorius.	2015-09-18	2017-10-26	5793	5793	110
22406	Posterior thigh lean muscle volume (left)	0	2	0	31	0	0	3	0	0	0	litres	149	0	2	2	2	0	0	Posterior thigh muscles were defined as gluteus, iliacus, adductor and hamstring muscles.	2015-09-18	2017-10-26	5793	5793	130
22407	Visceral adipose tissue volume (VAT)	0	2	0	31	0	0	3	0	0	0	litres	149	0	2	2	2	0	0	Visceral adipose tissue volume (VAT) is the volume of the adipose tissue within the abdominal cavity, excluding adipose tissue outside the abdominal skeletal muscles and adipose tissue and lipids within and posterior of the spine and posterior of the back muscles.	2015-09-18	2017-10-26	5995	5995	180
22408	Abdominal subcutaneous adipose tissue volume (ASAT)	0	2	0	31	0	0	3	0	0	0	litres	149	0	2	2	2	0	0	Abdominal subcutaneous adipose tissue volume (ASAT) is the volume of the subcutaneous adipose tissue in the abdomen from the top of the femoral head to the top of the thoracic vertebrae T9.	2015-09-18	2017-10-26	5995	5995	190
22409	Total thigh muscle volume	0	2	0	31	0	0	3	0	0	0	litres	149	0	0	2	2	0	0	Total thigh muscle volume is a derived variable calculated as a sum of all thigh muscle groups.	2017-01-06	2017-10-26	5741	5741	100
22410	Total trunk fat	0	2	0	31	0	0	3	0	0	0	litres	149	0	0	2	2	0	0	Total trunk fat is a derived variable calculated as a sum of VAT and ASAT volumes.	2017-01-06	2017-10-26	5995	5995	170
22411	VAT/ASAT error indicator	0	2	0	21	11	0	3	0	0	0		149	403	0	2	2	0	0	VAT/ASAT error indicator, indicates that one or more slab(s) are missing in the torso region so that the data is not analysable for VAT/ASAT.	2017-01-06	2017-10-26	25	25	200
22412	Thigh error indicator (left)	0	2	0	22	11	0	3	0	1	0		149	401	0	2	2	0	1	Left thigh error indicator	2017-01-06	2017-10-26	228	232	150
22413	Thigh error indicator (right)	0	2	0	22	11	0	3	0	1	0		149	401	0	2	2	0	1	Right thigh error indicator	2017-01-06	2017-10-26	175	178	160
22414	Image quality indicator	0	2	0	21	11	0	3	0	1	0		149	400	0	2	2	0	1	General image quality indicator for VAT, ASAT and thigh measurements.	2017-01-06	2017-10-26	82	83	210
22420	LV ejection fraction	0	2	0	11	0	0	3	0	0	0	percent	133	0	2	2	2	0	0	Left ventricular ejection fraction	2015-09-18	2015-09-21	4711	4711	0
22421	LV end diastolic volume	0	2	0	11	0	0	3	0	0	0	ml	133	0	2	2	2	0	0	Left ventricular end diastolic volume	2015-09-18	2015-09-21	4711	4711	0
22422	LV end systolic volume	0	2	0	11	0	0	3	0	0	0	ml	133	0	2	2	2	0	0	Left ventricular end systolic volume	2015-09-18	2015-09-21	4711	4711	0
22423	LV stroke volume	0	2	0	11	0	0	3	0	0	0	ml	133	0	2	2	2	0	0	Left ventricular stroke volume	2015-09-21	2015-09-21	4711	4711	0
22424	Cardiac output	0	2	0	31	0	0	3	0	0	0	litres/min	133	0	2	2	2	0	0	Cardiac output	2015-09-21	2015-09-21	4711	4711	0
22425	Cardiac index	0	2	0	31	0	0	3	0	0	0	litres/min/m2	133	0	2	2	2	0	0	Cardiac index	2015-09-21	2015-09-21	4711	4711	0
22426	Average heart rate	0	2	0	11	0	0	0	0	0	0	bpm	133	0	2	2	2	0	0	Average heart rate	2015-09-21	2015-09-21	4711	4711	0
22427	Body surface area	0	2	0	31	0	0	0	0	0	0	m2	133	0	2	2	2	0	0	This body surface area of the participant is estimated using the formula: <br>BSA = 0.20247 * (weight^0.425) * (height^0.725) <p> The height and weight are entered manually by the device operator and it is possible they differ from the values recorded in ~F50~ and ~F21002~.	2015-09-21	2015-09-21	4711	4711	0
22499	Device used to enter occupational data	0	2	0	21	11	0	2	0	0	0		123	480	0	0	0	0	0	User asked: "Which description best describes the device you are currently using to complete this questionnaire?"	2015-07-22	2017-07-27	121283	121283	690
22500	When occupational data entered	0	2	0	51	0	0	0	0	0	0		123	0	0	0	0	0	0	This is the date that the participant completed entering their occupational history.	2015-07-22	2017-07-27	121283	121283	100
22501	Year ended full time education	0	2	0	11	0	0	0	0	0	0	calendar year	123	100306	0	0	0	0	0	Year ended full time education	2015-07-22	2017-07-27	121283	121283	120
22502	Cough on most days	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	Participant asked " Do you cough on most days?"	2015-07-22	2017-07-27	121283	121283	130
22503	Years of cough on most days	0	2	0	11	0	0	0	0	0	0	years	132	0	0	0	0	0	0	Participants who indicated they coughed on most days were asked:<br> "For how many years have you had this cough?"	2015-07-22	2017-07-27	16498	16498	150
22504	Bring up phlegm/sputum/mucus on most days	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	Participant asked "Do you bring up phlegm/sputum/mucus on most days?"	2015-07-22	2017-07-27	121283	121283	140
22505	Years of bringing up phlegm/sputum/mucus on most days	0	2	0	11	0	0	0	0	0	0	years	132	0	0	0	0	0	0	Participants who indicated they brought up phlegm/sputum/mucus on most days were asked: <br>"For how many years have you had this phlegm/sputum/mucus?	2015-07-22	2017-07-27	10481	10481	160
22506	Tobacco smoking	0	2	0	21	11	0	0	0	0	0		132	496	0	0	0	0	0	Participants asked "Do you smoke tobacco now?"	2015-07-22	2017-07-27	121283	121283	170
22507	Age of stopping smoking	0	2	0	11	0	0	0	0	0	0	years	132	0	0	0	0	0	0	Participants who had stopped smoking where asked:<br> "At what age did you give up?"	2015-07-22	2017-07-27	44011	44011	180
22508	Amount of tobacco currently smoked	0	2	0	11	0	0	0	0	0	0		132	946	0	0	0	0	0	Participants who indicated they currently smoked tobacco were asked: <br>"How much do you smoke?"	2015-07-22	2017-07-27	2873	2873	190
22599	Number of jobs held	0	2	0	11	0	0	3	0	0	0	jobs	130	0	0	0	0	0	0	This is the number of jobs described by each participant who completed the Occupational questionnaire.	2015-07-22	2016-09-12	118686	118686	110
22600	Job Title	0	2	0	41	0	0	0	0	0	0		130	0	0	0	0	0	39	Job title as entered in free-text by participant.	2015-07-22	2016-09-12	0	0	160
22601	Job coding	0	2	0	21	11	0	0	0	1	0		130	497	0	0	0	0	39	Participants were asked to select a job group by navigating down a three-level tree. This field records the code they selected at the final level of the tree.	2015-07-22	2017-07-27	120306	402709	160
22602	Year job started	0	2	0	11	0	0	0	0	1	0	calendar year	130	0	0	0	0	0	39	Year job started	2015-07-22	2017-07-27	120306	402709	190
22603	Year job ended	0	2	0	11	0	0	0	0	1	0	calendar year	130	100698	0	0	0	0	39	Year job ended	2015-07-22	2017-07-27	120306	402709	200
22604	Work hours - lumped category	0	2	0	21	11	0	0	0	1	0		130	494	0	0	0	0	39	Participants were asked "On average, how many hours a week did you work?". They were able to select a lumped category or enter a precise number of hours. This field captures the results for participants who selected a lumped category.	2015-07-22	2017-07-27	99389	287596	210
22605	Work hours per week - exact value	0	2	0	31	0	0	0	0	1	0	hours/week	130	0	0	0	0	0	34	Participants were asked "On average, how many hours a week did you work?". They were able to select a lumped category or enter a precise number of hours. This field captures the results for participants who entered a precise number.	2015-07-22	2017-07-27	44327	115113	220
22606	Workplace very noisy	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very noisy?"<p>Participants were allowed to skip answering this question.	2015-07-22	2017-07-27	120094	400684	380
22607	Workplace very cold	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very cold?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119961	399521	390
22608	Workplace very hot	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very hot?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119978	399310	400
22609	Workplace very dusty	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very dusty?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119909	398605	410
22610	Workplace full of chemical or other fumes	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it full of chemical or other fumes?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119922	399002	420
22611	Workplace had a lot of cigarette smoke from other people smoking	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was there a lot of cigarette smoke from other people smoking?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119972	399167	430
22612	Worked with materials containing asbestos	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Did you work with materials containing asbestos?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119867	398074	440
22613	Worked with paints, thinners or glues	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Did you work with paints, thinners or glues?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119922	398725	450
22614	Worked with pesticides	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Did you work with pesticides?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119846	397678	460
22615	Workplace had a lot of diesel exhaust	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was there a lot of diesel exhaust?" <p>Participants were allowed to skip answering this question.	2015-07-23	2017-07-27	119825	396917	470
22616	Breathing problems during period of job	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	39	Particpant asked: "When you had this job, did you have problems with your breathing?"	2015-07-23	2017-07-27	120306	402709	480
22617	Job SOC coding	0	2	0	21	11	0	3	0	1	0		130	2	0	0	0	0	39	Each self-coded job group was mapped to a 4-digit SOC2000 coding. In some cases several self-coded job groups map to the same SOC2000 coding as the input interface was designed to help untrained users classify their job according to the criteria/paths that would seem most natural to them. <p> It was not thought practical to ask participants to code their job to the more detailed levels of the SOC2000 coding.	2015-07-30	2017-07-27	120306	402709	170
22618	Breathing problems improved/stopped away from workplace or on holiday	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	34	Participants who indicated they had breathing problems during a job were asked: <br> "Did these problems improve or stop when you were away from the workplace or on holiday?" <p> Question only asked if participant has value Yes in ~F22616~	2015-07-23	2017-07-27	8912	15242	490
22619	Breathing problems responsible for leaving job	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	22	Participants who indicated they had breathing problems during a job were asked: <br> "Did you leave this job because of breathing problems?" <p>Question only asked if participant has value Yes in ~F22616~	2015-07-23	2017-07-27	7525	12774	500
22620	Job involved shift work	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	39	Participants were asked: "Did you ever work shifts (day and/or night shifts) for this job?" <p> Day-shifts were defined as work in nomal daytime hours or morning, afternoon or evening work. <p> Night-shifts were defined as work for at least 3 hours between midnight and 5am.	2015-07-24	2017-07-27	120306	402709	230
22630	Day shifts worked	0	2	0	21	11	0	0	0	1	0		130	489	0	0	0	0	32	Participants were asked: "Which shift pattern(s) did you follow for this job?" <br> Participants who indicated they worked day shifts were then asked: "Did you work day shifts for the whole of this job?" <p> Day-shifts were defined as work in nomal daytime hours or morning, afternoon or evening work.	2015-07-23	2017-07-27	34413	53944	240
22631	Period spent working day shifts	0	2	0	31	0	0	0	0	1	0	years	130	0	0	0	0	0	14	Participants who indicated they worked day shifts (but not for whole of job) were asked: "For how long did you work days shifts?"	2015-07-23	2017-07-27	2314	2461	250
22640	Mixture of day and night shifts worked	0	2	0	21	11	0	0	0	1	0		130	489	0	0	0	0	32	Participants were asked: "Which shift pattern(s) did you follow for this job?" <br> Participants who indicated they worked a mixture of day and night shifts were then asked: "Did you work a mixture of day and night shifts for the whole of this job?" <p> Day-shifts were defined as work in nomal daytime hours or morning, afternoon or evening work. <p> Night-shifts were defined as work for at least 3 hours between midnight and 5am.	2015-07-23	2017-07-27	34413	53944	260
22641	Period spent working mix of day and night shifts	0	2	0	31	0	0	0	0	1	0	years	130	488	0	0	0	0	13	Participants who indicated they worked a mix of day and night shifts (but not for whole of job) were asked: "For how long did you work a mixture of day and night shifts?"	2015-07-24	2017-07-27	12140	13297	270
22642	Usual length of each night shift during mixed shift periods	0	2	0	11	0	0	0	0	1	0	hours	130	0	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many hours was each night shift usually?"	2015-07-24	2017-07-27	26665	38006	280
22643	Number of night shifts worked monthly during mixed shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	0	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts a month did you usually work?"	2015-07-24	2017-07-27	26665	38006	290
22644	Consecutive night shifts during mixed shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	487	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts in a row did you usually work before a change of shift or rest day?"	2015-07-24	2017-07-27	26665	38006	300
22645	Rest days during mixed shift periods	0	2	0	11	0	0	0	0	1	0	days	130	487	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many rest days did you usually have after working a block of night shifts?"	2015-07-24	2017-07-27	23434	32519	310
22650	Night shifts worked	0	2	0	21	11	0	0	0	1	0		130	489	0	0	0	0	32	Participants were asked: "Which shift pattern(s) did you follow for this job?" <br>Participants who indicated they worked night shifts were then asked: "Did you work night shifts for the whole of this job?" <p> Night-shifts were defined as work for at least 3 hours between midnight and 5am.	2015-07-23	2017-07-27	34413	53944	320
22651	Period spent working night shifts	0	2	0	31	0	0	0	0	1	0		130	488	0	0	0	0	32	Participants who indicated they worked night shifts (but not for whole of job) were asked: "For how long did you work night shifts?"	2015-07-24	2017-07-27	1084	1145	330
22652	Usual length of each night shift during night shift periods	0	2	0	11	0	0	0	0	1	0	hours	130	0	0	0	0	0	32	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many hours was each night shift usually?"	2015-07-24	2017-07-27	2822	3192	340
22653	Number of night shifts worked monthly during night shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	0	0	0	0	0	32	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts a month did you usually work?"	2015-07-24	2017-07-27	2822	3192	350
22654	Consecutive night shifts during night shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	487	0	0	0	0	32	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts in a row did you usually work before a change of shift or rest day?"	2015-07-24	2017-07-27	2822	3192	360
22655	Rest days during night shift periods	0	2	0	11	0	0	0	0	1	0	days	130	487	0	0	0	0	16	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many rest days did you usually have after working a block of night shifts?"	2015-07-24	2017-07-27	2690	3043	370
22660	Gap coding	0	2	0	21	11	0	0	0	1	0		130	486	0	0	0	0	32	Participants were asked what they did in any periods when they were not working in paid employment for at least 20 hours each week. These periods were called "gaps".	2015-07-24	2017-07-27	95580	179347	120
22661	Number of gap periods	0	2	0	11	0	0	0	0	0	0		130	0	0	0	0	0	0	This is the number of distinct periods in which a participant was not working in paid employment for at least 20 hours each week.	2015-07-24	2016-09-12	118686	118686	100
22662	Title for other gap	0	2	0	41	0	0	0	0	1	0		130	0	0	0	0	0	18	Participants who answered "other" in ~F22660~ were allowed to enter a free-text description of what they had been doing.	2015-07-24	2017-07-27	6601	8395	130
22663	Year gap started	0	2	0	11	0	0	0	0	1	0	calendar year	130	0	0	0	0	0	32	Year gap started	2015-07-24	2017-07-27	95580	179347	140
22664	Year gap ended	0	2	0	11	0	0	0	0	1	0	calendar year	130	100698	0	0	0	0	32	Year gap ended	2015-07-24	2017-07-27	95580	179347	150
22670	Minimum carotid IMT (intima-medial thickness) at 120 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Minimum carotid IMT at 120 degrees (on right side).	2015-09-30	2018-08-15	25737	25737	220
22671	Mean carotid IMT (intima-medial thickness) at 120 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Mean carotid IMT at 120 degrees (on right side).	2015-09-30	2018-08-15	25737	25737	180
22672	Maximum carotid IMT (intima-medial thickness) at 120 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Maximum carotid IMT at 120 degrees (on right side).	2015-09-30	2018-08-15	25737	25737	140
22673	Minimum carotid IMT (intima-medial thickness) at 150 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Minimum carotid IMT at 150 degrees (on right side).	2015-09-30	2018-08-15	25845	25845	230
22674	Mean carotid IMT (intima-medial thickness) at 150 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Mean carotid IMT at 150 degrees (on right side).	2015-09-30	2018-08-15	25845	25845	190
22675	Maximum carotid IMT (intima-medial thickness) at 150 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Maximum carotid IMT at 150 degrees (on right side).	2015-09-30	2018-08-15	25845	25845	150
22676	Minimum carotid IMT (intima-medial thickness) at 210 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Minimum carotid IMT at 210 degrees (on left side).	2015-09-30	2018-08-15	25769	25769	240
22677	Mean carotid IMT (intima-medial thickness) at 210 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Mean carotid IMT at 210 degrees (on left side).	2015-09-30	2018-08-15	25769	25769	200
22678	Maximum carotid IMT (intima-medial thickness) at 210 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Maximum carotid IMT at 210 degrees (on left side).	2015-09-30	2018-08-15	25769	25769	160
22679	Minimum carotid IMT (intima-medial thickness) at 240 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Minimum carotid IMT at 240 degrees (on left side).	2015-09-30	2018-08-15	25570	25570	250
22680	Mean carotid IMT (intima-medial thickness) at 240 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Mean carotid IMT at 240 degrees (on left side).	2015-09-30	2018-08-15	25570	25570	210
22681	Maximum carotid IMT (intima-medial thickness) at 240 degrees 	0	2	0	31	0	0	0	0	0	0	micrometres	101	909	2	2	2	0	0	Maximum carotid IMT at 240 degrees (on left side).	2015-09-30	2018-08-15	25570	25570	170
22682	Quality control indicator for IMT at 120 degrees	0	2	0	21	11	0	3	0	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 120 degrees	2015-10-15	2015-10-27	2579	2579	260
22683	Quality control indicator for IMT at 150 degrees	0	2	0	21	11	0	3	0	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 150 degrees	2015-10-15	2015-10-27	2579	2579	270
22684	Quality control indicator for IMT at 210 degrees	0	2	0	21	11	0	3	0	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 210 degrees	2015-10-15	2015-10-27	2579	2579	280
22685	Quality control indicator for IMT at 240 degrees	0	2	0	21	11	0	3	0	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 240 degrees	2015-10-15	2015-10-27	2579	2579	290
22700	Date first recorded at location	0	3	0	51	0	0	0	0	1	0		150	0	0	0	0	0	14	This the date at which a participant is first recorded (according to the record sources available to UK Biobank) at the location given in ~F22702~ and ~F22704~ (or the more precise, but restricted, ~F22701~ and ~F22703~). <p> Note that, when data is supplied to approved researchers, the array index of dates will not necessarily be in the same order as the dates themselves as UK Biobank does not itself receive location data in chronological order.	2017-01-06	2017-01-11	502526	774987	0
22701	Home location - east co-ordinate	0	3	1	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F22703~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F22702~ and ~F22704~.	2017-01-06	2017-01-11	502526	774987	0
22702	Home location - east co-ordinate (rounded)	0	3	0	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F22704~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F22701~ and ~F22703~, however special approval will be required to release the more detailed information. <p> In some cases participants will appear to be at the same location at consecutive times. This occurs because there is a difference of under 1Km in the distance between two consecutive locations according to the more granular data.	2017-01-06	2017-01-11	502526	774987	0
22703	Home location - north co-ordinate	0	3	1	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F22701~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F22702~ and ~F22704~.	2017-01-06	2017-01-11	502526	774987	0
22704	Home location - north co-ordinate (rounded)	0	3	0	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F22702~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F22701~ and ~F22703~, however special approval will be required to release the more detailed information. <p> In some cases participants will appear to be at the same location at consecutive times. This occurs because there is a difference of under 1Km in the distance between two consecutive locations according to the more granular data.	2017-01-06	2017-01-11	502526	774987	0
22800	Chromosome XY imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome XY imputation results	2017-04-18	2017-11-30	486355	486355	340
22801	Chromosome 1 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 1 imputation results.	2014-08-26	2017-07-21	487320	487320	100
22802	Chromosome 2 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 2 imputation results.	2014-08-26	2017-07-21	487320	487320	110
22803	Chromosome 3 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 3 imputation results.	2014-08-26	2017-07-21	487320	487320	120
22804	Chromosome 4 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 4 imputation results.	2014-08-26	2017-07-21	487320	487320	130
22805	Chromosome 5 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 5 imputation results.	2014-08-26	2017-07-21	487320	487320	140
22806	Chromosome 6 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 6 imputation results.	2014-08-26	2017-07-21	487320	487320	150
22807	Chromosome 7 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 7 imputation results.	2014-08-26	2017-07-21	487320	487320	160
22808	Chromosome 8 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 8 imputation results.	2014-08-26	2017-07-21	487320	487320	170
22809	Chromosome 9 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 9 imputation results.	2014-08-26	2017-07-21	487320	487320	180
22810	Chromosome 10 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 10 imputation results.	2014-08-26	2017-07-21	487320	487320	190
22811	Chromosome 11 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 11 imputation results.	2014-08-26	2017-07-21	487320	487320	200
22812	Chromosome 12 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 12 imputation results.	2014-08-26	2017-07-21	487320	487320	210
22813	Chromosome 13 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 13 imputation results.	2014-08-26	2017-07-21	487320	487320	220
22814	Chromosome 14 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 14 imputation results.	2014-08-26	2017-07-21	487320	487320	230
22815	Chromosome 15 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 15 imputation results.	2014-08-26	2017-07-21	487320	487320	240
22816	Chromosome 16 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 16 imputation results.	2014-08-26	2017-07-21	487320	487320	250
22817	Chromosome 17 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 17 imputation results.	2014-08-26	2017-07-21	487320	487320	260
22818	Chromosome 18 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 18 imputation results.	2014-08-26	2017-07-21	487320	487320	270
22819	Chromosome 19 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 19 imputation results.	2014-08-26	2017-07-21	487320	487320	280
22820	Chromosome 20 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 20 imputation results.	2014-08-26	2017-07-21	487320	487320	290
22821	Chromosome 21 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 21 imputation results.	2014-08-26	2017-07-21	487320	487320	300
22822	Chromosome 22 imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 22 imputation results.	2014-08-26	2017-07-21	487320	487320	310
22823	Chromosome X imputation and haplotype results	0	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome X imputation results.	2014-08-26	2017-11-30	486669	486669	320
23000	1gG antigen for Herpes Simplex virus-1	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of 1gG antigen for HSV-1 (Herpes Simplex virus-1).	2018-06-01	2018-06-07	9691	9968	0
23001	2mgG unique antigen for Herpes Simplex virus-2	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of 2mgG unique antigen for HSV-2 (Herpes Simplex virus-2).	2018-06-01	2018-06-07	9691	9968	0
23002	gE / gI antigen for Varicella Zoster Virus 	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of gE / gI antigen for VZV (Varicella Zoster Virus ).	2018-06-01	2018-06-07	9691	9968	0
23003	VCA p18 antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of VCA p18 antigen for EBV (Epstein-Barr Virus).	2018-06-01	2018-06-07	9691	9968	0
23004	EBNA-1 antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of EBNA-1 antigen for EBV (Epstein-Barr Virus).	2018-06-01	2018-06-07	9691	9968	0
23005	ZEBRA antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of ZEBRA antigen for EBV (Epstein-Barr Virus).	2018-06-01	2018-06-07	9691	9968	0
23006	EA-D antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of EA-D antigen for EBV (Epstein-Barr Virus).	2018-06-01	2018-06-07	9691	9968	0
23007	pp150 Nter antigen for Human Cytomegalovirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pp150 Nter antigen for CMV (Human Cytomegalovirus).	2018-06-01	2018-06-07	9691	9968	0
23008	pp 52 antigen for Human Cytomegalovirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pp 52 antigen for CMV (Human Cytomegalovirus).	2018-06-01	2018-06-07	9691	9968	0
23009	pp 28 antigen for Human Cytomegalovirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pp 28 antigen for CMV (Human Cytomegalovirus).	2018-06-01	2018-06-07	9691	9968	0
23010	IE1A antigen for Human Herpesvirus-6	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of IE1A antigen for HHV-6 (Human Herpesvirus-6).	2018-06-01	2018-06-07	9691	9968	0
23011	IE1B antigen for Human Herpesvirus-6	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of IE1B antigen for HHV-6 (Human Herpesvirus-6).	2018-06-01	2018-06-07	9691	9968	0
23012	p101 k antigen for Human Herpesvirus-6	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of p101 k antigen for HHV-6 (Human Herpesvirus-6).	2018-06-01	2018-06-07	9691	9968	0
23013	U14 antigen for Human Herpesvirus-7	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of U14 antigen for HHV-7 (Human Herpesvirus-7).	2018-06-01	2018-06-07	9691	9968	0
23014	LANA antigen for Kaposi's Sarcoma-Associated Herpesvirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of LANA antigen for KSHV (Kaposi's Sarcoma-Associated Herpesvirus).	2018-06-01	2018-06-07	9691	9968	0
23015	K8.1 antigen for Kaposi's Sarcoma-Associated Herpesvirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of K8.1 antigen for KSHV (Kaposi's Sarcoma-Associated Herpesvirus).	2018-06-01	2018-06-07	9691	9968	0
23016	HBc antigen for Hepatitis B Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HBc antigen for HBV (Hepatitis B Virus).	2018-06-01	2018-06-07	9691	9968	0
23017	HBe antigen for Hepatitis B Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HBe antigen for HBV (Hepatitis B Virus).	2018-06-01	2018-06-07	9691	9968	0
23018	Core antigen for Hepatitis C Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of Core antigen for HCV (Hepatitis C Virus).	2018-06-01	2018-06-07	9691	9968	0
23019	NS3 antigen for Hepatitis C Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of NS3 antigen for HCV (Hepatitis C Virus).	2018-06-01	2018-06-07	9691	9968	0
23020	p22 antigen for Toxoplasma gondii	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of p22 antigen for T. gondii (Toxoplasma gondii).	2018-06-01	2018-06-07	9691	9968	0
23021	sag1 antigen for Toxoplasma gondii	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of sag1 antigen for T. gondii (Toxoplasma gondii).	2018-06-01	2018-06-07	9691	9968	0
23022	HTLV-1 gag antigen for Human T-Lymphotropic Virus 1	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HTLV-1 gag antigen for HTLV-1 (Human T-Lymphotropic Virus 1).	2018-06-01	2018-06-07	9691	9968	0
23023	HTLV-1 env antigen for Human T-Lymphotropic Virus 1	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HTLV-1 env antigen for HTLV-1 (Human T-Lymphotropic Virus 1).	2018-06-01	2018-06-07	9691	9968	0
23024	HIV-1 gag antigen for Human Immunodeficiency Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HIV-1 gag antigen for HIV-1 (Human Immunodeficiency Virus).	2018-06-01	2018-06-07	9691	9968	0
23025	HIV-1 env antigen for Human Immunodeficiency Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HIV-1 env antigen for HIV-1 (Human Immunodeficiency Virus).	2018-06-01	2018-06-07	9691	9968	0
23026	BK VP1 antigen for Human Polyomavirus BKV	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of BK VP1 antigen for BKV (Human Polyomavirus BKV).	2018-06-01	2018-06-07	9691	9968	0
23027	JC VP1 antigen for Human Polyomavirus JCV	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of JC VP1 antigen for JCV (Human Polyomavirus JCV).	2018-06-01	2018-06-07	9691	9968	0
23028	MC VP1 antigen for Merkel Cell Polyomavirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of MC VP1 antigen for MCV (Merkel Cell Polyomavirus).	2018-06-01	2018-06-07	9691	9968	0
23029	L1 antigen for Human Papillomavirus type-16	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of L1 antigen for HPV 16 (Human Papillomavirus type-16).	2018-06-01	2018-06-07	9691	9968	0
23030	E6 antigen for Human Papillomavirus type-16	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of E6 antigen for HPV 16 (Human Papillomavirus type-16).	2018-06-01	2018-06-07	9691	9968	0
23031	E7 antigen for Human Papillomavirus type-16	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of E7 antigen for HPV 16 (Human Papillomavirus type-16).	2018-06-01	2018-06-07	9691	9968	0
23032	L1 antigen for Human Papillomavirus type-18	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of L1 antigen for HPV 18 (Human Papillomavirus type-18).	2018-06-01	2018-06-07	9691	9968	0
23033	momp D antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of momp D antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01	2018-06-07	9691	9968	0
23034	momp A antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of momp A antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01	2018-06-07	9691	9968	0
23035	tarp-D F1 antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of tarp-D F1 antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01	2018-06-07	9691	9968	0
23036	tarp-D F2 antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of tarp-D F2 antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01	2018-06-07	9691	9968	0
23037	PorB antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of PorB antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01	2018-06-07	9691	9968	0
23038	pGP3 antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pGP3 antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01	2018-06-07	9691	9968	0
23039	CagA antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of CagA antigen for H. pylori (Helicobacter pylori).	2018-06-01	2018-06-07	4898	5075	0
23040	VacA antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of VacA antigen for H. pylori (Helicobacter pylori).	2018-06-01	2018-06-07	9691	9968	0
23041	OMP antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of OMP antigen for H. pylori (Helicobacter pylori).	2018-06-01	2018-06-07	9691	9968	0
23042	GroEL antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of GroEL antigen for H. pylori (Helicobacter pylori).	2018-06-01	2018-06-07	9691	9968	0
23043	Catalase antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of Catalase antigen for H. pylori (Helicobacter pylori).	2018-06-01	2018-06-07	9691	9968	0
23044	UreA antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of UreA antigen for H. pylori (Helicobacter pylori).	2018-06-01	2018-06-07	9691	9968	0
23048	Antigen assay date	0	2	0	51	0	0	2	2	0	0		1307	0	0	0	1	0	0	Data that antigen assay was conducted.	2018-06-01	2018-06-07	9691	9968	0
23049	Antigen assay QC indicator	0	2	0	21	11	0	2	2	0	0		1307	7618	0	0	1	0	0	Quality control indicator for antigen assay.	2018-06-01	2018-06-07	1586	1605	0
23050	HSV-1 seropositivity for Herpes Simplex virus-1	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HSV-1 seropositivity for Herpes Simplex virus-1 <p>Defined as positive if: antigen 1gG > 150.<br>	2018-06-01	2018-06-07	9691	9968	100
23051	HSV-2 seropositivity for Herpes Simplex virus-2	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HSV-2 seropositivity for Herpes Simplex virus-2 <p>Defined as positive if: antigen 2mgG unique > 150.<br>	2018-06-01	2018-06-07	9691	9968	110
23052	VZV seropositivity for Varicella Zoster Virus 	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	VZV seropositivity for Varicella Zoster Virus <p>Defined as positive if: antigen gE / gl > 100.<br>	2018-06-01	2018-06-07	9691	9968	120
23053	EBV seropositivity for Epstein-Barr Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	EBV seropositivity for Epstein-Barr Virus <p>Defined as positive if: two or more of antigen VCA p18 > 250, antigen EBNA-1 > 250, antigen ZEBRA > 100, antigen EA-D > 100.<br>	2018-06-01	2018-06-07	9691	9968	130
23054	CMV seropositivity for Human Cytomegalovirus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	CMV seropositivity for Human Cytomegalovirus <p>Defined as positive if: two or more of antigen pp150 Nter > 100, antigen pp 52 > 150, antigen pp 28 > 200.<br>	2018-06-01	2018-06-07	9691	9968	140
23055	HHV-6 overall seropositivity for Human Herpesvirus-6	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-6 overall seropositivity for Human Herpesvirus-6 <p>Defined as positive if: one or more of antigen IE1A > 100, antigen IE1B > 100, antigen p101 k > 100.<br>	2018-06-01	2018-06-07	9691	9968	150
23056	HHV-6A seropositivity for Human Herpesvirus-6	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-6A seropositivity for Human Herpesvirus-6 <p>Defined as positive if: antigen IE1A > 100.<br>	2018-06-01	2018-06-07	9691	9968	160
23057	HHV-6B seropositivity for Human Herpesvirus-6	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-6B seropositivity for Human Herpesvirus-6 <p>Defined as positive if: antigen IE1B > 100.<br>	2018-06-01	2018-06-07	9691	9968	170
23058	HHV-7 seropositivity for Human Herpesvirus-7	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-7 seropositivity for Human Herpesvirus-7 <p>Defined as positive if: antigen U14 > 100.<br>	2018-06-01	2018-06-07	9691	9968	180
23059	KSHV seropositivity for Kaposi's Sarcoma-Associated Herpesvirus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	KSHV seropositivity for Kaposi's Sarcoma-Associated Herpesvirus <p>Defined as positive if: either antigen LANA > 100 or antigen K8.1 > 175.<br>	2018-06-01	2018-06-07	9691	9968	190
23060	HBV seropositivity for Hepatitis B Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HBV seropositivity for Hepatitis B Virus <p>Defined as positive if: both antigen HBc > 100 and antigen HBe > 150.<br>	2018-06-01	2018-06-07	9691	9968	200
23061	HCV seropositivity for Hepatitis C Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HCV seropositivity for Hepatitis C Virus <p>Defined as positive if: both antigen Core > 150 and antigen NS3 > 150.<br>	2018-06-01	2018-06-07	9691	9968	210
23062	T. gondii seropositivity for Toxoplasma gondii	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	T. gondii seropositivity for Toxoplasma gondii <p>Defined as positive if: either antigen p22 > 100 or antigen sag1 > 160.<br>	2018-06-01	2018-06-07	9691	9968	220
23063	HTLV-1 seropositivity for Human T-Lymphotropic Virus 1	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HTLV-1 seropositivity for Human T-Lymphotropic Virus 1 <p>Defined as positive if: either antigen HTLV-1 gag > 1500 or antigen HTLV-1 env > 150.<br>	2018-06-01	2018-06-07	9691	9968	230
23064	HIV-1 seropositivity for Human Immunodeficiency Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HIV-1 seropositivity for Human Immunodeficiency Virus <p>Defined as positive if: both antigen HIV-1 gag > 600 and antigen HIV-1 env > 150.<br>	2018-06-01	2018-06-07	9691	9968	240
23065	BKV seropositivity for Human Polyomavirus BKV	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	BKV seropositivity for Human Polyomavirus BKV <p>Defined as positive if: antigen BK VP1 > 250.<br>	2018-06-01	2018-06-07	9691	9968	250
23066	JCV seropositivity for Human Polyomavirus JCV	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	JCV seropositivity for Human Polyomavirus JCV <p>Defined as positive if: antigen JC VP1 > 250.<br>	2018-06-01	2018-06-07	9691	9968	260
23067	MCV seropositivity for Merkel Cell Polyomavirus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	MCV seropositivity for Merkel Cell Polyomavirus <p>Defined as positive if: antigen MC VP1 > 250.<br>	2018-06-01	2018-06-07	9691	9968	270
23068	HPV 16 Definition I seropositivity for Human Papillomavirus type-16	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HPV 16 Definition I seropositivity for Human Papillomavirus type-16 <p>Defined as positive if: antigen L1 > 175.<br>	2018-06-01	2018-06-07	9691	9968	280
23069	HPV 18 seropositivity for Human Papillomavirus type-18	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HPV 18 seropositivity for Human Papillomavirus type-18 <p>Defined as positive if: antigen L1 > 175.<br>	2018-06-01	2018-06-07	9691	9968	300
23070	C. trachomatis Definition I seropositivity for Chlamydia trachomatis	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	C. trachomatis Definition I seropositivity for Chlamydia trachomatis <p>Defined as positive if: antigen pGP3 > 200.<br>	2018-06-01	2019-02-27	9691	9968	310
23071	C. trachomatis Definition II seropositivity for Chlamydia trachomatis	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	C. trachomatis Definition II seropositivity for Chlamydia trachomatis <p>Defined as positive if: two or more of (the maximum of antigen momp A and antigen momp D) > 100, tarp-D F1 > 100, tarp-D F2 > 100, porB > 80. <br> <p>Data is only provided for this field in cases where the participant is seronegative under Definition I in ~F23070~, which should used be used as the main definition for seropositivity for Chlamydia trachomatis.<br>	2018-06-01	2019-02-27	7620	7851	320
23073	H. pylori Definition I seropositivity for Helicobacter pylori	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	H. pylori Definition I seropositivity for Helicobacter pylori <p>Defined as positive if: two or more of antigen CagA > 400, antigen VacA > 100, antigen OMP > 170, antigen GroEL > 80, antigen Catalase > 180, antigen UreA > 130.<br>	2018-06-01	2018-06-07	4898	5075	330
23074	H. pylori Definition II seropositivity for Helicobacter pylori	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	H. pylori Definition II seropositivity for Helicobacter pylori <p>Defined as positive if: two or more of antigen VacA > 100, antigen OMP > 170, antigen GroEL > 80, antigen Catalase > 180, antigen UreA > 130.<br> <p> The CagA antigen was excluded from the data generated in the 2nd week because of a lab-based handling mistake. Hence, this second definition is available without the CagA antigen. <br>	2018-06-01	2018-06-07	9691	9968	340
23075	HPV 16 Definition II seropositivity for Human Papillomavirus type-16	0	2	0	21	11	0	3	2	0	0		51428	12	0	0	1	0	0	HPV 16 Definition II seropositivity for Human Papillomavirus type-16 <p>Defined as positive if: either antigen E6 > 120 or antigen E7 > 150.<br>	2019-01-21	2019-02-27	9691	9968	290
23098	Weight	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Weight of person taken during impedance measurement.<p>0.1 increments. Range 0 - 200Kg.	2012-01-10	2013-08-16	492681	512452	100
23099	Body fat percentage	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Body fat percentage<p>Body fat percentage. Range 1% - 75% in 0.1% increments.	2012-01-10	2013-08-16	492410	512165	280
23100	Whole body fat mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Fat mass<p>Total fat mass in Kg, in 0.1Kg increments.	2012-01-10	2013-08-16	491854	511585	290
23101	Whole body fat-free mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Fat free mass<p>Fat free mass in Kg. Increment in 0.1 Kg	2012-01-10	2013-08-16	492634	512403	300
23102	Whole body water mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Body water mass<p>Units in Kg. Increments in 0.1 Kg.	2012-01-10	2013-08-16	492677	512447	310
23104	Body mass index (BMI)	0	0	0	31	0	0	3	1	0	0	Kg/m2	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Body Mass Index.<p>Increments of 0.1 .	2012-01-10	2013-08-16	492674	512444	110
23105	Basal metabolic rate	0	0	0	31	0	0	3	1	0	0	KJ	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Basal metabolic rate<p>Return value in Kilo- Joules.	2012-01-10	2013-08-16	492663	512433	270
23106	Impedance of whole body	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	2	0	0	Body composition estimation by impedance measurement. Impedance of whole body. is Range 150 - 1200ohms in 1ohm increments.	2012-01-10	2019-03-10	492966	546382	380
23107	Impedance of leg (right)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	2	0	0	Body composition estimation by impedance measurement. Impedance of right leg, oh<p>Measured impedance of right leg. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10	2019-03-10	492993	546415	420
23108	Impedance of leg (left)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	2	0	0	Body composition estimation by impedance measurement. Impedance of left leg, ohm<p>Measured impedance of left leg. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10	2019-03-10	492988	546409	410
23109	Impedance of arm (right)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	2	0	0	Body composition estimation by impedance measurement. Impedance of right arm, oh<p>Measured impedance of right arm. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10	2019-03-10	492958	546377	400
23110	Impedance of arm (left)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	2	0	0	Body composition estimation by impedance measurement. Impedance of left arm, ohm<p>Measured impedance of left arm. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10	2019-03-10	492981	546401	390
23111	Leg fat percentage (right)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right leg fat percentages<p>Range 1-75% in 0.1% increments.	2012-01-10	2013-08-16	492643	512413	330
23112	Leg fat mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right leg fat mass<p>Right leg fat mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492634	512404	350
23113	Leg fat-free mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right leg fat free mass.<p>Right leg fat free mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492622	512392	120
23114	Leg predicted mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right leg predicted mass.<p>in Kg, 0.1 increments.	2012-01-10	2013-08-16	492621	512391	140
23115	Leg fat percentage (left)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left leg fat percentage<p>Range 1-75% in 0.1% increments.	2012-01-10	2013-08-16	492611	512381	320
23116	Leg fat mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left leg fat mass<p>Left leg free mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492606	512376	340
23117	Leg fat-free mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left leg fat free mass.<p>Left leg fat free mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492588	512357	360
23118	Leg predicted mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left leg predicted mass.<p>in Kg, 0.1 increments.	2012-01-10	2013-08-16	492582	512351	130
23119	Arm fat percentage (right)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right arm fat percentage<p>Range 1-75% in 0.1% increments.	2012-01-10	2013-08-16	492570	512339	160
23120	Arm fat mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right arm fat mass.<p>Right arm fat mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492536	512305	180
23121	Arm fat-free mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right arm fat free mass<p>Right arm fat free mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492533	512301	190
23122	Arm predicted mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Right Arm predicted mass<p>in Kg, 0.1 increments.	2012-01-10	2013-08-16	492525	512293	220
23123	Arm fat percentage (left)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left arm fat percentage<p>Range 1-75% in 0.1% increments.	2012-01-10	2013-08-16	492503	512270	150
23124	Arm fat mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left arm fat mass.<p>Left arm fat mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492462	512227	170
23125	Arm fat-free mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left arm fat free mass<p>Left arm fat free mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492447	512212	200
23126	Arm predicted mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Left arm predicted mass.<p>in Kg, 0.1 increments.	2012-01-10	2013-08-16	492428	512193	210
23127	Trunk fat percentage	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Trunk fat percentages<p>Range 1-75% in 0.1% increments.	2012-01-10	2013-08-16	492388	512150	230
23128	Trunk fat mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Trunk fat mass<p>Trunk fat mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492362	512123	240
23129	Trunk fat-free mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Trunk fat free mass.<p>Trunk fat free mass in Kg, 0.1 increments.	2012-01-10	2013-08-16	492281	512039	250
23130	Trunk predicted mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	1	0	0	Body composition estimation by impedance measurement. Trunk predicted mass<p>in Kg, 0.1 increments.	2012-01-10	2013-08-16	492236	511990	260
23160	Population-level FE variants, PLINK format	1	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Population-level FE variant results encoded in PLINK format. To download this information use the ukbgene utility with the command <pre> ukbgene efe -c1 </pre> <p>using any recent valid keyfile for the Application. The associated fam files can be downloaded with the command <pre> ukbgene efe -c1 -m </pre> <p> Note that, unlike the genotyped and imputed information, all of the data for the whole genome is stored in a single file with properties: <p>Size: 111905503923 Bytes. <br>MD5: a5a922cd24a79774c715f91684731e49 <p>The corresponding bim file is available as ~R1534~.	2019-03-01	2000-01-01	49997	49997	110
23161	Exome FE variant call files (VCFs)	1	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Exome FE variant call files (VCFs)	2019-03-01	2019-03-08	49997	49997	160
23162	Exome FE variant calls indices	1	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Exome FE variant calls indices	2019-03-01	2019-03-08	49997	49997	170
23163	Exome FE CRAM files	1	2	0	41	0	20	0	0	0	0		170	0	0	0	0	0	0	Exome FE CRAM files	2019-03-01	2019-03-10	3744	3744	180
23164	Exome FE CRAM indices	1	2	0	41	0	20	0	0	0	0		170	0	0	0	0	0	0	Exome FE CRAM indices	2019-03-01	2019-03-10	3753	3753	190
23170	Population-level SPB variants, PLINK format	1	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Population-level SPB variant results encoded in PLINK format. To download this information use the ukbgene utility with the command <pre> ukbgene evc -c1 </pre> <p>using any recent valid keyfile for the Application. The associated fam files can be downloaded with the command <pre> ukbgene evc -c1 -m </pre> <p> Note that, unlike the genotyped and imputed information, all of the data for the whole genome is stored in a single file with properties: <p>Size: 130504562763 Bytes <br>MD5: ed7335777fc5128978cdb314957131ce <p> The corresponding bim file is available as ~R910~.	2019-02-08	2000-01-01	49997	49997	100
23171	Exome SPB variant call files (VCFs)	1	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Exome SPB variant call files (VCFs)	2018-07-02	2018-07-09	49997	49997	120
23172	Exome SPB variant calls indices	1	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Variant calls indices	2018-07-02	2018-07-09	49997	49997	130
23173	Exome SPB CRAM files	1	2	0	41	0	20	0	0	0	0		170	0	0	0	0	0	0	Exome SPB CRAM files	2018-07-02	2018-07-09	49997	49997	140
23174	Exome SPB CRAM indices	1	2	0	41	0	20	0	0	0	0		170	0	0	0	0	0	0	CRAM indices	2018-07-02	2018-07-09	49997	49997	150
23181	BGI WGS CRAM files	0	0	0	41	0	20	0	0	1	0		181	0	0	0	0	0	1	This field contains the sequencing results returned by BGI during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38 and is made available in CRAM format	2018-07-03	2018-07-10	48	50	0
23182	BGI WGS CRAM indices	0	0	0	41	0	20	3	0	1	0		181	0	0	0	0	0	1	This field contains the CRAM indexes to the sequencing results returned by BGI during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38.	2018-07-03	2018-07-10	48	50	0
23183	Broad WGS CRAM files	0	0	0	41	0	20	0	0	1	0		182	0	0	0	0	0	1	This field contains the sequencing results returned by the Broad Institute during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38 and is made available in CRAM format	2018-08-13	2018-08-13	48	50	0
23184	Broad WGS CRAM indices	0	0	0	41	0	20	0	0	1	0		182	0	0	0	0	0	1	This field contains the CRAM indexes to the sequencing results returned by the BROAD Institute during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38.	2018-08-13	2018-08-13	48	50	0
23200	L1-L4 area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	470
23201	L1-L4 average height	0	2	0	31	0	0	0	0	0	0	cm	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	480
23202	L1-L4 average width	0	2	0	31	0	0	0	0	0	0	cm	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	490
23203	L1-L4 BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	600
23204	L1-L4 BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	610
23205	L1-L4 BMD (bone mineral density) T-score	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5120	5120	620
23206	Femur lower neck BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	2344	2344	240
23207	Femur lower neck BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16	2000-01-01	-1	-1	280
23208	Femur neck BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5183	5183	320
23209	Femur neck BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	340
23210	Femur shaft BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5168	5168	360
23211	Femur shaft BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16	2000-01-01	-1	-1	380
23212	Femur total BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5168	5168	400
23213	Femur total BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5137	5137	420
23214	Femur troch BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5183	5183	440
23215	Femur troch BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	460
23216	Femur upper neck BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	2344	2344	510
23217	Femur upper neck BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	2332	2332	530
23218	Femur wards BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5183	5183	550
23219	Femur wards BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5150	5150	570
23220	Arm BMC (bone mineral content) (left)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	100
23221	Arm BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	140
23222	Arm BMC (bone mineral content) (right)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	120
23223	Arm BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	160
23224	Arms BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	180
23225	Arms BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	200
23226	Head BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	590
23227	Leg BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	650
23228	Leg BMC (bone mineral content) (right)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	640
23229	Leg BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	660
23230	Legs BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	670
23231	Legs BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	680
23232	Pelvis BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	700
23233	Ribs BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	720
23234	Spine BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	740
23235	Total BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	750
23236	Total BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	760
23237	Total BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	770
23238	Total BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	780
23239	Total BMD (bone mineral density) T-score	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5139	5139	790
23240	Trunk BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	800
23241	Trunk BMD (bone mineral density)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	810
23242	Trunk BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	820
23243	Trunk BMD (bone mineral density) (right)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	830
23244	Android bone mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	100
23245	Android fat mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	110
23246	Android lean mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	120
23247	Android tissue fat percentage	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	130
23248	Android total mass	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	140
23249	Arm fat mass (left)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	150
23250	Arm lean mass (left)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	170
23251	Arm tissue fat percentage (left)	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	190
23252	Arm total mass (left)	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	210
23253	Arm fat mass (right)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	160
23254	Arm lean mass (right)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	180
23255	Arm tissue fat percentage (right)	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	200
23256	Arm total mass (right)	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	220
23257	Arms fat mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	230
23258	Arms lean mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	240
23259	Arms tissue fat percentage	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	250
23260	Arms total mass	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	260
23261	Gynoid bone mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	270
23262	Gynoid fat mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	280
23263	Gynoid lean mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	290
23264	Gynoid tissue fat percentage	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	300
23265	Gynoid total mass	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	310
23266	Leg fat mass (left)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	350
23267	Leg lean mass (left)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	370
23268	Leg tissue fat percentage (left)	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	390
23269	Leg total mass (left)	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	410
23270	Leg fat mass (right)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	360
23271	Leg lean mass (right)	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	380
23272	Leg tissue fat percentage (right)	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	400
23273	Leg total mass (right)	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	4350	4350	420
23274	Legs fat mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	430
23275	Legs lean mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	440
23276	Legs tissue fat percentage	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	450
23277	Legs total mass	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	460
23278	Total fat mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	470
23279	Total fat-free mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	480
23280	Total lean mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	490
23281	Total tissue fat percentage	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	500
23282	Total tissue mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	510
23283	Total mass	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	520
23284	Trunk fat mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	530
23285	Trunk lean mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	540
23286	Trunk tissue fat percentage	0	2	0	31	0	0	0	0	0	0	percent	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	550
23287	Trunk total mass	0	2	0	31	0	0	0	0	0	0	kg	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5170	5170	560
23288	VAT (visceral adipose tissue) mass	0	2	0	11	0	0	0	0	0	0	g	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5109	5109	570
23289	VAT (visceral adipose tissue) volume	0	2	0	11	0	0	0	0	0	0	cm3	124	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5109	5109	580
23290	Femur shaft BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5165	5165	350
23291	Femur total BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5165	5165	390
23292	Femur upper neck BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	2345	2345	500
23293	Femur total BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5134	5134	410
23294	Femur lower neck BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16	2000-01-01	-1	-1	260
23295	Femur troch BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5183	5183	430
23296	Femur upper neck BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	2335	2335	520
23297	Femur wards BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5183	5183	540
23298	Femur troch BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	450
23299	Femur neck BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5183	5183	300
23300	Femur neck BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5152	5152	330
23301	Femur wards BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	0	0	0	Std.Devs	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	5151	5151	560
23302	Femur lower neck BMD (bone mineral density) (left)	0	2	0	31	0	0	0	0	0	0	g/cm2	125	0	2	2	2	0	0	Value output by DXA system	2015-09-16	2015-09-25	2345	2345	220
23303	Femur shaft BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16	2000-01-01	-1	-1	370
23304	Trunk bone area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Trunk area	2015-09-24	2015-09-25	5170	5170	230
23305	Head bone area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Head area	2015-09-24	2015-09-25	5170	5170	110
23306	Head BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	0	2	2	0	0	Head BMC	2015-09-24	2015-09-25	5170	5170	580
23307	Pelvis bone area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Pelvis area	2015-09-24	2015-09-25	5170	5170	250
23308	Pelvis BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0		125	0	0	2	2	0	0	Pelvis BMC	2015-09-24	2015-09-25	5170	5170	690
23309	Ribs bone area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Ribs area	2015-09-24	2015-09-25	5170	5170	190
23310	Ribs BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	0	2	2	0	0	Ribs BMC	2015-09-24	2015-09-25	5170	5170	710
23311	Spine bone area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Spine area	2015-09-24	2015-09-25	5170	5170	210
23312	Spine BMC (bone mineral content)	0	2	0	31	0	0	0	0	0	0	g	125	0	0	2	2	0	0	Spine BMC	2015-09-24	2015-09-25	5170	5170	730
23313	Arm bone area (left)	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Arm area (left)	2015-09-24	2015-09-25	4350	4350	150
23314	Arm bone area (right)	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Arm area (right)	2015-09-24	2015-09-25	4350	4350	170
23315	Leg bone area (left)	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Leg area (left)	2015-09-24	2015-09-25	4350	4350	290
23316	Leg bone area (right)	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Leg area (right)	2015-09-24	2015-09-25	4350	4350	310
23317	Arms combined bone area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Arms combined area is the sum of ~F23313~ and ~F23314~. It has been presented in addition to the component parts because the DXA device did not always return the separate Left and Right values.	2015-09-24	2015-09-25	5170	5170	130
23318	Legs combined bone area	0	2	0	31	0	0	0	0	0	0	cm2	125	0	0	2	2	0	0	Legs combined area is the sum of ~F23315~ and ~F23316~. It has been presented in addition to the component parts because the DXA device did not always return the separate Left and Right values.	2015-09-24	2015-09-25	5170	5170	270
23320	Leg BMC (bone mineral content) (left)	0	2	0	31	0	0	0	0	0	0	g	125	0	2	2	2	0	0	Value output by DXA system	2015-09-17	2015-09-25	4350	4350	630
23321	Values wanted	0	2	0	11	0	0	1	0	1	0		502	0	0	2	2	0	88	This is an array of values indicating the digit that the participant would have entered if they had correctly matched the symbols above and below.	2017-06-12	2019-03-10	20437	403077	130
23322	Values entered	0	2	0	11	0	0	1	0	1	0		502	0	0	2	2	0	88	Digits entered by participant	2017-06-12	2019-03-10	20437	403077	140
23323	Number of symbol digit matches attempted	0	2	0	11	0	0	3	0	0	0	attempts	502	6361	0	2	2	0	0	Number of symbol digit matches attempted before the participant timed-out.	2017-06-09	2019-03-10	20437	20437	100
23324	Number of symbol digit matches made correctly	0	2	0	11	0	0	3	0	0	0	correct-answers	502	0	0	2	2	0	0	This is the number of symbols correctly matched to digits by the participant. <p> Note that it would be possible to get a high score here simply by repeated entering "1" very quickly as it would be correct 1/8 of the time and a large number of attempts could be made. For this reason, the score must be interpreted alongside ~F6774~ which shows the total number of attempts.	2017-06-16	2019-03-10	20437	20437	110
24003	Nitrogen dioxide air pollution; 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23	2015-04-01	495155	495155	0
24004	Nitrogen oxides air pollution; 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen oxides; Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23	2015-04-01	495155	495155	0
24005	Particulate matter air pollution (pm10); 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM10 (particulate matter with diameter less than or equal to 10 micrometres); Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23	2015-04-01	461228	461228	0
24006	Particulate matter air pollution (pm2.5); 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM10 (particulate matter with diameter less than or equal to 2.5 micrometres); Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23	2015-04-01	461228	461228	0
24007	Particulate matter air pollution (pm2.5) absorbance; 2010	0	0	0	31	0	0	0	0	0	0	per-metre	114	0	0	0	0	0	0	PM2.5 absorbance. This is ameasurement of the blackness of PM2.5 filters; a proxy for elemental carbon, which is the dominant light absorbing substanc. Land Use Regression (LUR) estimate for annual average 2010	2015-03-23	2015-04-01	461228	461228	0
24008	Particulate matter air pollution 2.5-10um; 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM coarse (particulate matter betweem 2.5 and 10 micrometres); Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23	2015-04-01	461228	461228	0
24009	Traffic intensity on the nearest road	0	0	0	11	0	0	0	0	0	0	vehicles/day	114	0	0	0	0	0	0	Traffic intensity (average total number of motor vehicles per 24 hours) on the nearest road based upon local road network measured in vehicles per day. Traffic count data is from the Road Traffic Statistics Branch at the Department for Transport attached to the local road network. Traffic data for unmonitored links were estimates based on surrounding monitored links. The minimum traffic count was set to 500 vehicles per day. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23	2015-04-02	495155	495155	0
24010	Inverse distance to the nearest road	0	0	0	31	0	0	0	0	0	0	1/metres	114	0	0	0	0	0	0	Inverse distance to the nearest road based upon local road network. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23	2015-04-01	495155	495155	0
24011	Traffic intensity on the nearest major road	0	0	0	11	0	0	0	0	0	0	vehicles/day	114	0	0	0	0	0	0	Traffic intensity is the average total number of motor vehicles per 24 hours on the nearest major road based upon a local road network. Traffic count data is from the Road Traffic Statistics Branch at the Department for Transport attached to the local road network. Traffic data for unmonitored links were estimates based on surrounding monitored links. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009. The definition of a major road for the local road network is a road with traffic intensity greater than 5000 motor vehicles per 24 hours.	2015-03-23	2015-04-02	495155	495155	0
24012	Inverse distance to the nearest major road	0	0	0	31	0	0	0	0	0	0	1/metres	114	0	0	0	0	0	0	Inverse distance to the nearest major road based upon a local road network. The definition of a major road for the local road network is a road with traffic intensity greater than 5000 motor vehicles per 24 hours. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23	2015-04-01	495155	495155	0
24013	Total traffic load on major roads	0	0	0	11	0	0	0	0	0	0	vehicles/day	114	0	0	0	0	0	0	Total traffic load (average total number of motor vehicles per 24 hours * length of road segment) on major roads in a 100 metres circular buffer of residential address based upon local road network. The definition of a major road for the local road network is a road with traffic intensity greater than 5000 motor vehicles per 24 hours. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23	2015-04-02	495155	495155	0
24014	Close to major road	0	0	0	21	11	0	0	0	0	0		114	7	0	0	0	0	0	Indicator variable indicating whether a residential address is within 50 metres of a class 1 or 2 type road and/or within 100 metres of a class 0 road, based upon central road network. The Central road network is taken from Eurostreets version 3.1 digital road network (scale 1:10000), derived from the TeleAtlas MultiNet TM dataset for the year 2008. All roads of class 0, 1 and 2 (motorways, main roads of major importance and other main roads) were classified as major roads. Based upon local knowledge classes 3 and 4 (secondary roads and local connecting roads) were also classified as major roads.	2015-03-23	2015-04-02	495155	495155	0
24015	Sum of road length of major roads within 100m	0	0	0	31	0	0	0	0	0	0	metres	114	0	0	0	0	0	0	Sum of road length of major roads from the central road network within a 100 metre circular buffer of residential address. The Central road network is taken from Eurostreets version 3.1 digital road network (scale 1:10000), derived from the TeleAtlas MultiNet TM dataset for the year 2008. All roads of class 0, 1and 2 (motorways, main roads of major importance and other main roads) were classified as major roads. Based upon local knowledge classes 3 and 4 (secondary roads and local connecting roads) were also classified as major roads.	2015-03-23	2015-04-01	495155	495155	0
24016	Nitrogen dioxide air pollution; 2005	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2005.	2015-03-23	2015-04-01	495155	495155	0
24017	Nitrogen dioxide air pollution; 2006	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2006.	2015-03-23	2015-04-01	495155	495155	0
24018	Nitrogen dioxide air pollution; 2007	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2007.	2015-03-23	2015-04-01	495155	495155	0
24019	Particulate matter air pollution (pm10); 2007	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM10 (particulate matter with diameter less than or equal to 10 micrometres); Land Use Regression (LUR) estimate for annual average 2007.	2015-03-23	2015-04-01	494057	494057	0
24020	Average daytime sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LDay (day equivalent level): Average sound level pressure LAeq over the 12-hour period 07:00 to 19:00.	2015-03-23	2015-04-01	495155	495155	0
24021	Average evening sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LEve (evening equivalent level): Average sound level pressure LAeq between the hours of 19:00 to 23:00.	2015-03-23	2015-04-01	495155	495155	0
24022	Average night-time sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LNight (night equivalent level): Average sound level pressure LAeq overnight 23:00 to 07:00.	2015-03-23	2015-04-01	495155	495155	0
24023	Average 16-hour sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LAeq,16hr (A-weighted equivalent sound level): Average sound level pressure LAeq between the hours of 07:00 to 23:00.	2015-03-23	2015-04-01	495155	495155	0
24024	Average 24-hour sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LDen: (day-evening-night equivalent level): A-weighted Leq noise level measured over the 24 hour period with a 10 decibel penality added to the levels between 23:00 and 07:00.	2015-03-23	2015-04-01	495155	495155	0
24025	Included in pollution study	0	0	0	21	11	0	3	0	0	0		113	102	0	0	0	0	0	This field indicates whether a participant was included in the residential air/noise pollution studies. Participants without a value here were not in the studies.	2015-03-31	2000-01-01	-1	-1	0
24500	Greenspace percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Greenspace', as a proportion of all land-use types, and with home location data buffered at 1000m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as gs1000_0 and gs1000_1.	2017-09-13	2017-10-18	441055	461227	120
24501	Domestic garden percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Domestic garden', as a proportion of all land-use types, and with home location data buffered at 1000m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where his field is derived from variables referred to as grd1000_0 and grd1000_1.	2017-09-13	2017-10-18	441055	461227	140
24502	Water percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Water', as a proportion of all land-use types, and with home location data buffered at 1000m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as wa1000_0 and wa1000_1.	2017-09-13	2017-10-18	441055	461227	160
24503	Greenspace percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Greenspace', as a proportion of all land-use types, and with home location data buffered at 300m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as gs300_0 and gs300_1.	2017-09-13	2017-10-18	441055	461227	130
24504	Domestic garden percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Domestic garden', as a proportion of all land-use types, and with home location data buffered at 300m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as grd300_0 and grd300_1.	2017-09-13	2017-10-18	441055	461227	150
24505	Water percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Water', as a proportion of all land-use types, and with home location data buffered at 300m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as wa300_0 and wa300_1.	2017-09-13	2017-10-18	441055	461227	170
24506	Natural environment percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Natural Environment' in the Land Cover Map (LCM) 2007, and with home location data buffered at 1000m. <p> Land use data were obtained from the Land Cover Map, 2007, and the 23 land cover classes were reclassified to a binary classification; classes 1-2 ('Natural Environment'), and 22-23 ('Built environment'). <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as ne1000_0 and ne1000_1.	2017-09-13	2017-10-18	497720	517902	100
24507	Natural environment percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Natural Environment' in the Land Cover Map (LCM) 2007, and with home location data buffered at 300m. <p> Land use data were obtained from the Land Cover Map, 2007, and the 23 land cover classes were reclassified to a binary classification; classes 1-2 ('Natural Environment'), and 22-23 ('Built environment'). <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as ne300_0 and ne300_1.	2017-09-13	2017-10-18	497720	517902	110
24508	Distance (Euclidean) to coast	0	0	0	31	0	0	3	1	0	0	Kilometres	151	0	2	0	1	0	0	Distance from each UK Biobank participant's residence location to the coast, measured in Kilometres (Km). <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as coastkm_0 and coastkm_1.	2017-09-13	2017-10-18	497720	517902	180
25000	Volumetric scaling from T1 head image to standard space	0	2	0	31	0	0	3	0	0	0	ratio	110	0	2	2	2	0	0	Volumetric scaling from the T1 head image to standard space	2015-10-09	2018-08-29	21407	21407	170
25001	Volume of peripheral cortical grey matter (normalised for head size)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of peripheral cortical grey matter (from T1 brain image, normalised for head size)	2015-10-09	2018-08-29	21407	21407	250
25002	Volume of peripheral cortical grey matter	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of peripheral cortical grey matter (from T1 brain image)	2015-10-09	2018-08-29	21407	21407	240
25003	Volume of ventricular cerebrospinal fluid (normalised for head size)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of ventricular cerebrospinal fluid (from T1 brain image, normalised for head size)	2015-10-09	2018-08-29	21407	21407	270
25004	Volume of ventricular cerebrospinal fluid	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of ventricular cerebrospinal fluid (from T1 brain image)	2015-10-09	2018-08-29	21407	21407	260
25005	Volume of grey matter (normalised for head size)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter (from T1 brain image, normalised for head size)	2015-10-09	2018-08-29	21407	21407	230
25006	Volume of grey matter	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter (from T1 brain image)	2015-10-09	2018-08-29	21407	21407	220
25007	Volume of white matter (normalised for head size)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of white matter (from T1 brain image, normalised for head size)	2015-10-09	2018-08-29	21407	21407	210
25008	Volume of white matter	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of white matter (from T1 brain image)	2015-10-09	2018-08-29	21407	21407	200
25009	Volume of brain, grey+white matter (normalised for head size)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of brain, grey+white, from T1 brain image, normalised for head size	2015-10-09	2018-08-29	21407	21407	190
25010	Volume of brain, grey+white matter	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of brain, grey+white, from T1 brain image	2015-10-09	2018-08-29	21407	21407	180
25011	Volume of thalamus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of left thalamus (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1800
25012	Volume of thalamus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of right thalamus (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1810
25013	Volume of caudate (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of left caudate (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1720
25014	Volume of caudate (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of right caudate (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1730
25015	Volume of putamen (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of left putamen (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1780
25016	Volume of putamen (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of right putamen (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1790
25017	Volume of pallidum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of left pallidum (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1760
25018	Volume of pallidum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of right pallidum (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1770
25019	Volume of hippocampus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of left hippocampus (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1740
25020	Volume of hippocampus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of right hippocampus (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1750
25021	Volume of amygdala (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of left amygdala (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1700
25022	Volume of amygdala (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of right amygdala (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1710
25023	Volume of accumbens (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of left accumbens (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1680
25024	Volume of accumbens (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of right accumbens (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	1690
25025	Volume of brain stem + 4th ventricle	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of brain stem + 4th ventricle (from T1 brain image)	2015-10-09	2018-08-29	21390	21390	280
25026	Median T2star in thalamus (left)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in left thalamus (from SWI data)	2015-10-09	2018-08-29	19664	19664	250
25027	Median T2star in thalamus (right)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in right thalamus (from SWI data)	2015-10-09	2018-08-29	19664	19664	260
25028	Median T2star in caudate (left)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in left caudate (from SWI data)	2015-10-09	2018-08-29	19664	19664	170
25029	Median T2star in caudate (right)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in right caudate (from SWI data)	2015-10-09	2018-08-29	19664	19664	180
25030	Median T2star in putamen (left)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in left putamen (from SWI data)	2015-10-09	2018-08-29	19664	19664	230
25031	Median T2star in putamen (right)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in right putamen (from SWI data)	2015-10-09	2018-08-29	19664	19664	240
25032	Median T2star in pallidum (left)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in left pallidum (from SWI data)	2015-10-09	2018-08-29	19664	19664	210
25033	Median T2star in pallidum (right)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in right pallidum (from SWI data)	2015-10-09	2018-08-29	19664	19664	220
25034	Median T2star in hippocampus (left)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in left hippocampus (from SWI data)	2015-10-09	2018-08-29	19664	19664	190
25035	Median T2star in hippocampus (right)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in right hippocampus (from SWI data)	2015-10-09	2018-08-29	19664	19664	200
25036	Median T2star in amygdala (left)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in left amygdala (from SWI data)	2015-10-09	2018-08-29	19664	19664	150
25037	Median T2star in amygdala (right)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in right amygdala (from SWI data)	2015-10-09	2018-08-29	19664	19664	160
25038	Median T2star in accumbens (left)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in left accumbens (from SWI data)	2015-10-09	2018-08-29	19664	19664	130
25039	Median T2star in accumbens (right)	0	2	0	31	0	0	3	0	0	0	ms	109	0	2	2	2	0	0	Median T2star in right accumbens (from SWI data)	2015-10-09	2018-08-29	19664	19664	140
25040	Median BOLD effect (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	460
25042	Median z-statistic (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	Median z-statistic (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	500
25044	Median BOLD effect (in group-defined mask) for faces activation	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces activation (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	450
25046	Median z-statistic (in group-defined mask) for faces activation	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	Median z-statistic (in group-defined mask) for faces activation (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	490
25048	Median BOLD effect (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	470
25050	Median z-statistic (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	Median z-statistic (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	510
25052	Median BOLD effect (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	440
25054	Median z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	Median z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-09	2018-08-29	18663	18663	480
25056	Mean FA in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in middle cerebellar peduncle on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	330
25057	Mean FA in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in pontine crossing tract on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	340
25058	Mean FA in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in genu of corpus callosum on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	280
25059	Mean FA in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in body of corpus callosum on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	140
25060	Mean FA in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in splenium of corpus callosum on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	450
25061	Mean FA in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in fornix on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	270
25062	Mean FA in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in corticospinal tract (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	220
25063	Mean FA in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in corticospinal tract (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	210
25064	Mean FA in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in medial lemniscus (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	320
25065	Mean FA in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in medial lemniscus (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	310
25066	Mean FA in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in inferior cerebellar peduncle (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	300
25067	Mean FA in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in inferior cerebellar peduncle (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	290
25068	Mean FA in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior cerebellar peduncle (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	470
25069	Mean FA in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior cerebellar peduncle (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	460
25070	Mean FA in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in cerebral peduncle (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	160
25071	Mean FA in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in cerebral peduncle (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	150
25072	Mean FA in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in anterior limb of internal capsule (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	130
25073	Mean FA in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in anterior limb of internal capsule (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	120
25074	Mean FA in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in posterior limb of internal capsule (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	380
25075	Mean FA in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in posterior limb of internal capsule (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	370
25076	Mean FA in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in retrolenticular part of internal capsule (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	420
25077	Mean FA in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in retrolenticular part of internal capsule (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	410
25078	Mean FA in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in anterior corona radiata (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	110
25079	Mean FA in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in anterior corona radiata (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	100
25080	Mean FA in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior corona radiata (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	490
25081	Mean FA in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior corona radiata (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	480
25082	Mean FA in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in posterior corona radiata (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	360
25083	Mean FA in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in posterior corona radiata (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	350
25084	Mean FA in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in posterior thalamic radiation (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	400
25085	Mean FA in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in posterior thalamic radiation (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	390
25086	Mean FA in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in sagittal stratum (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	440
25087	Mean FA in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in sagittal stratum (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	430
25088	Mean FA in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in external capsule (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	240
25089	Mean FA in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in external capsule (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	230
25090	Mean FA in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in cingulum cingulate gyrus (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	180
25091	Mean FA in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in cingulum cingulate gyrus (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	170
25092	Mean FA in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in cingulum hippocampus (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	200
25093	Mean FA in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in cingulum hippocampus (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	190
25094	Mean FA in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in fornix cres+stria terminalis (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	260
25095	Mean FA in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in fornix cres+stria terminalis (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	250
25096	Mean FA in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior longitudinal fasciculus (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	530
25097	Mean FA in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior longitudinal fasciculus (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	520
25098	Mean FA in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior fronto-occipital fasciculus (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	510
25099	Mean FA in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in superior fronto-occipital fasciculus (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	500
25100	Mean FA in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in uncinate fasciculus (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	570
25101	Mean FA in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in uncinate fasciculus (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	560
25102	Mean FA in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in tapetum (right) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	550
25103	Mean FA in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean FA (fractional anisotropy) in tapetum (left) on FA skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	540
25104	Mean MD in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3210
25105	Mean MD in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3220
25106	Mean MD in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3160
25107	Mean MD in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3020
25108	Mean MD in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3330
25109	Mean MD in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3150
25110	Mean MD in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3100
25111	Mean MD in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3090
25112	Mean MD in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3200
25113	Mean MD in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3190
25114	Mean MD in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3180
25115	Mean MD in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3170
25116	Mean MD in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3350
25117	Mean MD in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3340
25118	Mean MD in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3040
25119	Mean MD in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3030
25120	Mean MD in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3010
25121	Mean MD in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3000
25122	Mean MD in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3260
25123	Mean MD in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3250
25124	Mean MD in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3300
25125	Mean MD in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3290
25126	Mean MD in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2990
25127	Mean MD in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2980
25128	Mean MD in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3370
25129	Mean MD in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3360
25130	Mean MD in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3240
25131	Mean MD in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3230
25132	Mean MD in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3280
25133	Mean MD in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3270
25134	Mean MD in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3320
25135	Mean MD in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3310
25136	Mean MD in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3120
25137	Mean MD in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3110
25138	Mean MD in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3060
25139	Mean MD in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3050
25140	Mean MD in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3080
25141	Mean MD in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3070
25142	Mean MD in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3140
25143	Mean MD in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3130
25144	Mean MD in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3410
25145	Mean MD in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3400
25146	Mean MD in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3390
25147	Mean MD in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3380
25148	Mean MD in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3450
25149	Mean MD in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3440
25150	Mean MD in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3430
25151	Mean MD in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MD (mean diffusivity) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3420
25152	Mean MO in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3690
25153	Mean MO in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3700
25154	Mean MO in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3640
25155	Mean MO in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3500
25156	Mean MO in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3810
25157	Mean MO in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3630
25158	Mean MO in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3580
25159	Mean MO in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3570
25160	Mean MO in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3680
25161	Mean MO in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3670
25162	Mean MO in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3660
25163	Mean MO in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3650
25164	Mean MO in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3830
25165	Mean MO in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3820
25166	Mean MO in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3520
25167	Mean MO in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3510
25168	Mean MO in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3490
25169	Mean MO in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3480
25170	Mean MO in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3740
25171	Mean MO in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3730
25172	Mean MO in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3780
25173	Mean MO in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3770
25174	Mean MO in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3470
25175	Mean MO in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3460
25176	Mean MO in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3850
25177	Mean MO in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3840
25178	Mean MO in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3720
25179	Mean MO in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3710
25180	Mean MO in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3760
25181	Mean MO in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3750
25182	Mean MO in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3800
25183	Mean MO in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3790
25184	Mean MO in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3600
25185	Mean MO in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3590
25186	Mean MO in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3540
25187	Mean MO in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3530
25188	Mean MO in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3560
25189	Mean MO in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3550
25190	Mean MO in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3620
25191	Mean MO in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3610
25192	Mean MO in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3890
25193	Mean MO in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3880
25194	Mean MO in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3870
25195	Mean MO in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3860
25196	Mean MO in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3930
25197	Mean MO in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3920
25198	Mean MO in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3910
25199	Mean MO in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean MO (diffusion tensor mode) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	3900
25200	Mean L1 in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1770
25201	Mean L1 in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1780
25202	Mean L1 in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1720
25203	Mean L1 in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1580
25204	Mean L1 in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1890
25205	Mean L1 in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1710
25206	Mean L1 in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1660
25207	Mean L1 in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1650
25208	Mean L1 in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1760
25209	Mean L1 in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1750
25210	Mean L1 in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1740
25211	Mean L1 in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1730
25212	Mean L1 in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1910
25213	Mean L1 in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1900
25214	Mean L1 in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1600
25215	Mean L1 in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1590
25216	Mean L1 in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1570
25217	Mean L1 in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1560
25218	Mean L1 in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1820
25219	Mean L1 in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1810
25220	Mean L1 in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1860
25221	Mean L1 in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1850
25222	Mean L1 in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1550
25223	Mean L1 in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1540
25224	Mean L1 in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1930
25225	Mean L1 in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1920
25226	Mean L1 in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1800
25227	Mean L1 in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1790
25228	Mean L1 in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1840
25229	Mean L1 in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1830
25230	Mean L1 in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1880
25231	Mean L1 in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1870
25232	Mean L1 in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1680
25233	Mean L1 in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1670
25234	Mean L1 in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1620
25235	Mean L1 in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1610
25236	Mean L1 in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1640
25237	Mean L1 in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1630
25238	Mean L1 in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1700
25239	Mean L1 in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1690
25240	Mean L1 in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1970
25241	Mean L1 in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1960
25242	Mean L1 in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1950
25243	Mean L1 in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1940
25244	Mean L1 in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2010
25245	Mean L1 in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2000
25246	Mean L1 in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1990
25247	Mean L1 in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L1 in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	1980
25248	Mean L2 in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2250
25249	Mean L2 in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2260
25250	Mean L2 in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2200
25251	Mean L2 in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2060
25252	Mean L2 in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2370
25253	Mean L2 in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2190
25254	Mean L2 in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2140
25255	Mean L2 in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2130
25256	Mean L2 in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2240
25257	Mean L2 in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2230
25258	Mean L2 in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2220
25259	Mean L2 in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2210
25260	Mean L2 in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2390
25261	Mean L2 in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2380
25262	Mean L2 in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2080
25263	Mean L2 in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2070
25264	Mean L2 in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2050
25265	Mean L2 in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2040
25266	Mean L2 in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2300
25267	Mean L2 in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2290
25268	Mean L2 in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2340
25269	Mean L2 in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2330
25270	Mean L2 in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2030
25271	Mean L2 in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2020
25272	Mean L2 in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2410
25273	Mean L2 in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2400
25274	Mean L2 in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2280
25275	Mean L2 in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2270
25276	Mean L2 in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2320
25277	Mean L2 in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2310
25278	Mean L2 in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2360
25279	Mean L2 in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2350
25280	Mean L2 in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2160
25281	Mean L2 in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2150
25282	Mean L2 in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2100
25283	Mean L2 in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2090
25284	Mean L2 in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2120
25285	Mean L2 in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2110
25286	Mean L2 in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2180
25287	Mean L2 in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2170
25288	Mean L2 in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2450
25289	Mean L2 in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2440
25290	Mean L2 in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2430
25291	Mean L2 in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2420
25292	Mean L2 in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2490
25293	Mean L2 in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2480
25294	Mean L2 in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2470
25295	Mean L2 in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L2 in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2460
25296	Mean L3 in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2730
25297	Mean L3 in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2740
25298	Mean L3 in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2680
25299	Mean L3 in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2540
25300	Mean L3 in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2850
25301	Mean L3 in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2670
25302	Mean L3 in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2620
25303	Mean L3 in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2610
25304	Mean L3 in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2720
25305	Mean L3 in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2710
25306	Mean L3 in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2700
25307	Mean L3 in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2690
25308	Mean L3 in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2870
25309	Mean L3 in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2860
25310	Mean L3 in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2560
25311	Mean L3 in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2550
25312	Mean L3 in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2530
25313	Mean L3 in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2520
25314	Mean L3 in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2780
25315	Mean L3 in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2770
25316	Mean L3 in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2820
25317	Mean L3 in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2810
25318	Mean L3 in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2510
25319	Mean L3 in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2500
25320	Mean L3 in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2890
25321	Mean L3 in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2880
25322	Mean L3 in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2760
25323	Mean L3 in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2750
25324	Mean L3 in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2800
25325	Mean L3 in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2790
25326	Mean L3 in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2840
25327	Mean L3 in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2830
25328	Mean L3 in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2640
25329	Mean L3 in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2630
25330	Mean L3 in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2580
25331	Mean L3 in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2570
25332	Mean L3 in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2600
25333	Mean L3 in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2590
25334	Mean L3 in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2660
25335	Mean L3 in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2650
25336	Mean L3 in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2930
25337	Mean L3 in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2920
25338	Mean L3 in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2910
25339	Mean L3 in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2900
25340	Mean L3 in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2970
25341	Mean L3 in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2960
25342	Mean L3 in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2950
25343	Mean L3 in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean L3 in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19395	19395	2940
25344	Mean ICVF in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	810
25345	Mean ICVF in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	820
25346	Mean ICVF in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	760
25347	Mean ICVF in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	620
25348	Mean ICVF in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	930
25349	Mean ICVF in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	750
25350	Mean ICVF in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	700
25351	Mean ICVF in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	690
25352	Mean ICVF in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	800
25353	Mean ICVF in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	790
25354	Mean ICVF in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	780
25355	Mean ICVF in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	770
25356	Mean ICVF in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	950
25357	Mean ICVF in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	940
25358	Mean ICVF in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	640
25359	Mean ICVF in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	630
25360	Mean ICVF in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	610
25361	Mean ICVF in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	600
25362	Mean ICVF in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	860
25363	Mean ICVF in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	850
25364	Mean ICVF in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	900
25365	Mean ICVF in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	890
25366	Mean ICVF in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	590
25367	Mean ICVF in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	580
25368	Mean ICVF in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	970
25369	Mean ICVF in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	960
25370	Mean ICVF in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	840
25371	Mean ICVF in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	830
25372	Mean ICVF in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	880
25373	Mean ICVF in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	870
25374	Mean ICVF in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	920
25375	Mean ICVF in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	910
25376	Mean ICVF in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	720
25377	Mean ICVF in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	710
25378	Mean ICVF in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	660
25379	Mean ICVF in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	650
25380	Mean ICVF in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	680
25381	Mean ICVF in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	670
25382	Mean ICVF in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	740
25383	Mean ICVF in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	730
25384	Mean ICVF in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1010
25385	Mean ICVF in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1000
25386	Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	990
25387	Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	980
25388	Mean ICVF in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1050
25389	Mean ICVF in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1040
25390	Mean ICVF in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1030
25391	Mean ICVF in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ICVF (intra-cellular volume fraction) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1020
25392	Mean OD in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4170
25393	Mean OD in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4180
25394	Mean OD in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4120
25395	Mean OD in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	3980
25396	Mean OD in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4290
25397	Mean OD in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4110
25398	Mean OD in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4060
25399	Mean OD in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4050
25400	Mean OD in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4160
25401	Mean OD in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4150
25402	Mean OD in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4140
25403	Mean OD in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4130
25404	Mean OD in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4310
25405	Mean OD in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4300
25406	Mean OD in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4000
25407	Mean OD in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	3990
25408	Mean OD in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	3970
25409	Mean OD in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	3960
25410	Mean OD in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4220
25411	Mean OD in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4210
25412	Mean OD in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4260
25413	Mean OD in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4250
25414	Mean OD in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	3950
25415	Mean OD in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	3940
25416	Mean OD in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4330
25417	Mean OD in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4320
25418	Mean OD in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4200
25419	Mean OD in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4190
25420	Mean OD in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4240
25421	Mean OD in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4230
25422	Mean OD in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4280
25423	Mean OD in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4270
25424	Mean OD in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4080
25425	Mean OD in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4070
25426	Mean OD in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4020
25427	Mean OD in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4010
25428	Mean OD in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4040
25429	Mean OD in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4030
25430	Mean OD in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4100
25431	Mean OD in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4090
25432	Mean OD in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4370
25433	Mean OD in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4360
25434	Mean OD in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4350
25435	Mean OD in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4340
25436	Mean OD in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4410
25437	Mean OD in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4400
25438	Mean OD in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4390
25439	Mean OD in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean OD (orientation dispersion index) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4380
25440	Mean ISOVF in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1290
25441	Mean ISOVF in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1300
25442	Mean ISOVF in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1240
25443	Mean ISOVF in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1100
25444	Mean ISOVF in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1410
25445	Mean ISOVF in fornix on FA skeleton	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1230
25446	Mean ISOVF in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1180
25447	Mean ISOVF in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1170
25448	Mean ISOVF in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1280
25449	Mean ISOVF in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1270
25450	Mean ISOVF in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1260
25451	Mean ISOVF in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1250
25452	Mean ISOVF in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1430
25453	Mean ISOVF in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1420
25454	Mean ISOVF in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1120
25455	Mean ISOVF in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1110
25456	Mean ISOVF in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI da	2015-10-09	2018-08-29	19393	19393	1090
25457	Mean ISOVF in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI dat	2015-10-09	2018-08-29	19393	19393	1080
25458	Mean ISOVF in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI d	2015-10-09	2018-08-29	19393	19393	1340
25459	Mean ISOVF in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI da	2015-10-09	2018-08-29	19393	19393	1330
25460	Mean ISOVF in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from	2015-10-09	2018-08-29	19393	19393	1380
25461	Mean ISOVF in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from d	2015-10-09	2018-08-29	19393	19393	1370
25462	Mean ISOVF in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1070
25463	Mean ISOVF in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1060
25464	Mean ISOVF in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1450
25465	Mean ISOVF in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1440
25466	Mean ISOVF in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1320
25467	Mean ISOVF in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1310
25468	Mean ISOVF in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1360
25469	Mean ISOVF in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1350
25470	Mean ISOVF in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1400
25471	Mean ISOVF in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1390
25472	Mean ISOVF in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1200
25473	Mean ISOVF in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1190
25474	Mean ISOVF in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1140
25475	Mean ISOVF in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1130
25476	Mean ISOVF in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1160
25477	Mean ISOVF in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1150
25478	Mean ISOVF in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1220
25479	Mean ISOVF in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1210
25480	Mean ISOVF in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI dat	2015-10-09	2018-08-29	19393	19393	1490
25481	Mean ISOVF in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data	2015-10-09	2018-08-29	19393	19393	1480
25482	Mean ISOVF in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI	2015-10-09	2018-08-29	19393	19393	1470
25483	Mean ISOVF in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI	2015-10-09	2018-08-29	19393	19393	1460
25484	Mean ISOVF in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1530
25485	Mean ISOVF in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1520
25486	Mean ISOVF in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1510
25487	Mean ISOVF in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	0	0	0	AU	134	0	2	2	2	0	0	Mean ISOVF (isotropic or free water volume fraction) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09	2018-08-29	19393	19393	1500
25488	Weighted-mean FA in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4460
25489	Weighted-mean FA in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4470
25490	Weighted-mean FA in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4480
25491	Weighted-mean FA in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4490
25492	Weighted-mean FA in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4500
25493	Weighted-mean FA in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4510
25494	Weighted-mean FA in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4630
25495	Weighted-mean FA in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4640
25496	Weighted-mean FA in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4520
25497	Weighted-mean FA in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4530
25498	Weighted-mean FA in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4540
25499	Weighted-mean FA in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4550
25500	Weighted-mean FA in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4560
25501	Weighted-mean FA in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4570
25502	Weighted-mean FA in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4580
25503	Weighted-mean FA in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4590
25504	Weighted-mean FA in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4620
25505	Weighted-mean FA in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4600
25506	Weighted-mean FA in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4610
25507	Weighted-mean FA in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4650
25508	Weighted-mean FA in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4660
25509	Weighted-mean FA in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4670
25510	Weighted-mean FA in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4680
25511	Weighted-mean FA in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4690
25512	Weighted-mean FA in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4700
25513	Weighted-mean FA in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4710
25514	Weighted-mean FA in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean FA (fractional anisotropy) in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	4720
25515	Weighted-mean MD in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6080
25516	Weighted-mean MD in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6090
25517	Weighted-mean MD in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6100
25518	Weighted-mean MD in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6110
25519	Weighted-mean MD in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6120
25520	Weighted-mean MD in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6130
25521	Weighted-mean MD in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6250
25522	Weighted-mean MD in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6260
25523	Weighted-mean MD in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6140
25524	Weighted-mean MD in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6150
25525	Weighted-mean MD in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6160
25526	Weighted-mean MD in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6170
25527	Weighted-mean MD in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6180
25528	Weighted-mean MD in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6190
25529	Weighted-mean MD in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6200
25530	Weighted-mean MD in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6210
25531	Weighted-mean MD in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6240
25532	Weighted-mean MD in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6220
25533	Weighted-mean MD in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6230
25534	Weighted-mean MD in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6270
25535	Weighted-mean MD in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6280
25536	Weighted-mean MD in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6290
25537	Weighted-mean MD in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6300
25538	Weighted-mean MD in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6310
25539	Weighted-mean MD in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6320
25540	Weighted-mean MD in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6330
25541	Weighted-mean MD in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MD (mean diffusivity) in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6340
25542	Weighted-mean MO in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6350
25543	Weighted-mean MO in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6360
25544	Weighted-mean MO in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6370
25545	Weighted-mean MO in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6380
25546	Weighted-mean MO in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6390
25547	Weighted-mean MO in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6400
25548	Weighted-mean MO in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6520
25549	Weighted-mean MO in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6530
25550	Weighted-mean MO in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6410
25551	Weighted-mean MO in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6420
25552	Weighted-mean MO in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6430
25553	Weighted-mean MO in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6440
25554	Weighted-mean MO in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6450
25555	Weighted-mean MO in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6460
25556	Weighted-mean MO in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6470
25557	Weighted-mean MO in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6480
25558	Weighted-mean MO in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6510
25559	Weighted-mean MO in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6490
25560	Weighted-mean MO in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6500
25561	Weighted-mean MO in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6540
25562	Weighted-mean MO in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6550
25563	Weighted-mean MO in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6560
25564	Weighted-mean MO in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6570
25565	Weighted-mean MO in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6580
25566	Weighted-mean MO in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6590
25567	Weighted-mean MO in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6600
25568	Weighted-mean MO in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean MO (diffusion tensor mode) in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6610
25569	Weighted-mean L1 in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5270
25570	Weighted-mean L1 in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5280
25571	Weighted-mean L1 in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5290
25572	Weighted-mean L1 in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5300
25573	Weighted-mean L1 in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5310
25574	Weighted-mean L1 in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5320
25575	Weighted-mean L1 in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5440
25576	Weighted-mean L1 in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5450
25577	Weighted-mean L1 in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5330
25578	Weighted-mean L1 in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5340
25579	Weighted-mean L1 in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5350
25580	Weighted-mean L1 in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5360
25581	Weighted-mean L1 in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5370
25582	Weighted-mean L1 in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5380
25583	Weighted-mean L1 in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5390
25584	Weighted-mean L1 in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5400
25585	Weighted-mean L1 in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5430
25586	Weighted-mean L1 in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5410
25587	Weighted-mean L1 in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5420
25588	Weighted-mean L1 in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5460
25589	Weighted-mean L1 in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5470
25590	Weighted-mean L1 in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5480
25591	Weighted-mean L1 in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5490
25592	Weighted-mean L1 in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5500
25593	Weighted-mean L1 in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5510
25594	Weighted-mean L1 in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5520
25595	Weighted-mean L1 in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L1 in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5530
25596	Weighted-mean L2 in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5540
25597	Weighted-mean L2 in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5550
25598	Weighted-mean L2 in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5560
25599	Weighted-mean L2 in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5570
25600	Weighted-mean L2 in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5580
25601	Weighted-mean L2 in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5590
25602	Weighted-mean L2 in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5710
25603	Weighted-mean L2 in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5720
25604	Weighted-mean L2 in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5600
25605	Weighted-mean L2 in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5610
25606	Weighted-mean L2 in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5620
25607	Weighted-mean L2 in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5630
25608	Weighted-mean L2 in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5640
25609	Weighted-mean L2 in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5650
25610	Weighted-mean L2 in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5660
25611	Weighted-mean L2 in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5670
25612	Weighted-mean L2 in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5700
25613	Weighted-mean L2 in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5680
25614	Weighted-mean L2 in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5690
25615	Weighted-mean L2 in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5730
25616	Weighted-mean L2 in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5740
25617	Weighted-mean L2 in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5750
25618	Weighted-mean L2 in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5760
25619	Weighted-mean L2 in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5770
25620	Weighted-mean L2 in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5780
25621	Weighted-mean L2 in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5790
25622	Weighted-mean L2 in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L2 in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5800
25623	Weighted-mean L3 in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5810
25624	Weighted-mean L3 in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5820
25625	Weighted-mean L3 in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5830
25626	Weighted-mean L3 in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5840
25627	Weighted-mean L3 in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5850
25628	Weighted-mean L3 in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5860
25629	Weighted-mean L3 in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5980
25630	Weighted-mean L3 in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5990
25631	Weighted-mean L3 in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5870
25632	Weighted-mean L3 in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5880
25633	Weighted-mean L3 in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5890
25634	Weighted-mean L3 in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5900
25635	Weighted-mean L3 in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5910
25636	Weighted-mean L3 in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5920
25637	Weighted-mean L3 in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5930
25638	Weighted-mean L3 in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5940
25639	Weighted-mean L3 in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5970
25640	Weighted-mean L3 in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5950
25641	Weighted-mean L3 in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	5960
25642	Weighted-mean L3 in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6000
25643	Weighted-mean L3 in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6010
25644	Weighted-mean L3 in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6020
25645	Weighted-mean L3 in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6030
25646	Weighted-mean L3 in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6040
25647	Weighted-mean L3 in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6050
25648	Weighted-mean L3 in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6060
25649	Weighted-mean L3 in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean L3 in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19393	19393	6070
25650	Weighted-mean ICVF in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4730
25651	Weighted-mean ICVF in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4740
25652	Weighted-mean ICVF in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4750
25653	Weighted-mean ICVF in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4760
25654	Weighted-mean ICVF in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4770
25655	Weighted-mean ICVF in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4780
25656	Weighted-mean ICVF in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4900
25657	Weighted-mean ICVF in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4910
25658	Weighted-mean ICVF in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4790
25659	Weighted-mean ICVF in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4800
25660	Weighted-mean ICVF in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4810
25661	Weighted-mean ICVF in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4820
25662	Weighted-mean ICVF in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4830
25663	Weighted-mean ICVF in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4840
25664	Weighted-mean ICVF in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4850
25665	Weighted-mean ICVF in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4860
25666	Weighted-mean ICVF in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4890
25667	Weighted-mean ICVF in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4870
25668	Weighted-mean ICVF in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4880
25669	Weighted-mean ICVF in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4920
25670	Weighted-mean ICVF in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4930
25671	Weighted-mean ICVF in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4940
25672	Weighted-mean ICVF in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4950
25673	Weighted-mean ICVF in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4960
25674	Weighted-mean ICVF in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4970
25675	Weighted-mean ICVF in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4980
25676	Weighted-mean ICVF in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	4990
25677	Weighted-mean OD in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6620
25678	Weighted-mean OD in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6630
25679	Weighted-mean OD in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6640
25680	Weighted-mean OD in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6650
25681	Weighted-mean OD in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6660
25682	Weighted-mean OD in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6670
25683	Weighted-mean OD in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6790
25684	Weighted-mean OD in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6800
25685	Weighted-mean OD in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6680
25686	Weighted-mean OD in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6690
25687	Weighted-mean OD in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6700
25688	Weighted-mean OD in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6710
25689	Weighted-mean OD in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6720
25690	Weighted-mean OD in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6730
25691	Weighted-mean OD in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6740
25692	Weighted-mean OD in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6750
25693	Weighted-mean OD in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6780
25694	Weighted-mean OD in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6760
25695	Weighted-mean OD in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6770
25696	Weighted-mean OD in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6810
25697	Weighted-mean OD in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6820
25698	Weighted-mean OD in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6830
25699	Weighted-mean OD in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6840
25700	Weighted-mean OD in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6850
25701	Weighted-mean OD in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6860
25702	Weighted-mean OD in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6870
25703	Weighted-mean OD in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean OD (orientation dispersion index) in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	6880
25704	Weighted-mean ISOVF in tract acoustic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5000
25705	Weighted-mean ISOVF in tract acoustic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right acoustic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5010
25706	Weighted-mean ISOVF in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5020
25707	Weighted-mean ISOVF in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5030
25708	Weighted-mean ISOVF in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5040
25709	Weighted-mean ISOVF in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5050
25710	Weighted-mean ISOVF in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5170
25711	Weighted-mean ISOVF in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5180
25712	Weighted-mean ISOVF in tract corticospinal tract (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5060
25713	Weighted-mean ISOVF in tract corticospinal tract (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right corticospinal tract (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5070
25714	Weighted-mean ISOVF in tract forceps major	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract forceps major (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5080
25715	Weighted-mean ISOVF in tract forceps minor	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract forceps minor (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5090
25716	Weighted-mean ISOVF in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5100
25717	Weighted-mean ISOVF in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5110
25718	Weighted-mean ISOVF in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5120
25719	Weighted-mean ISOVF in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5130
25720	Weighted-mean ISOVF in tract middle cerebellar peduncle	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5160
25721	Weighted-mean ISOVF in tract medial lemniscus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5140
25722	Weighted-mean ISOVF in tract medial lemniscus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right medial lemniscus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5150
25723	Weighted-mean ISOVF in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5190
25724	Weighted-mean ISOVF in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5200
25725	Weighted-mean ISOVF in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5210
25726	Weighted-mean ISOVF in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5220
25727	Weighted-mean ISOVF in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5230
25728	Weighted-mean ISOVF in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right superior thalamic radiation (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5240
25729	Weighted-mean ISOVF in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5250
25730	Weighted-mean ISOVF in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	0	0	0	AU	135	0	2	2	2	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right uncinate fasciculus (from dMRI data)	2015-10-09	2018-08-29	19392	19392	5260
25731	Discrepancy between T1 brain image and standard-space brain template (linearly-aligned)	0	2	0	31	0	0	3	0	0	0	AU	110	0	2	2	2	0	0	Discrepancy between the T1 brain image (linearly-aligned to standard space) and the standard-space brain template	2015-10-09	2018-08-29	21407	21407	130
25732	Discrepancy between T1 brain image and standard-space brain template (nonlinearly-aligned)	0	2	0	31	0	0	3	0	0	0	AU	110	0	2	2	2	0	0	Discrepancy between the T1 brain image (nonlinearly-aligned to standard space) and the standard-space brain template	2015-10-09	2018-08-29	21407	21407	140
25733	Amount of warping applied to non-linearly align T1 brain image to standard-space	0	2	0	31	0	0	3	0	0	0	AU	110	0	2	2	2	0	0	Amount of warping (averaged distortion) applied to nonlinearly align the T1 brain image to standard-space	2015-10-09	2018-08-29	21407	21407	120
25734	Inverted signal-to-noise ratio in T1	0	2	0	31	0	0	3	0	0	0	ratio	110	0	2	2	2	0	0	Inverted signal-to-noise ratio in the T1 - background spatial standard deviation divided by mean brain intensity	2015-10-09	2018-08-29	21407	21407	160
25735	Inverted contrast-to-noise ratio in T1	0	2	0	31	0	0	3	0	0	0	ratio	110	0	2	2	2	0	0	Inverted contrast-to-noise ratio in the T1 - background spatial standard deviation divided by contrast between white and grey matter mean intensities	2015-10-09	2018-08-29	21407	21407	150
25736	Discrepancy between T2 FLAIR brain image and T1 brain image	0	2	0	31	0	0	3	0	0	0	AU	112	0	2	2	2	0	0	Discrepancy between the T2 FLAIR brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09	2018-08-29	20205	20205	130
25737	Discrepancy between dMRI brain image and T1 brain image	0	2	0	31	0	0	3	0	0	0	AU	107	0	2	2	2	0	0	Discrepancy between the (EPI-unwarped b=0) dMRI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09	2018-08-29	19928	19928	120
25738	Discrepancy between SWI brain image and T1 brain image	0	2	0	31	0	0	3	0	0	0	AU	109	0	2	2	2	0	0	Discrepancy between the (magnitude) SWI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09	2018-08-29	18816	18816	120
25739	Discrepancy between rfMRI brain image and T1 brain image	0	2	0	31	0	0	3	0	0	0	AU	111	0	2	2	2	0	0	Discrepancy between the (EPI-unwarped SBref) rfMRI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09	2018-08-29	19868	19868	120
25740	Discrepancy between tfMRI brain image and T1 brain image	0	2	0	31	0	0	3	0	0	0	AU	106	0	2	2	2	0	0	Discrepancy between the (EPI-unwarped SBref) tfMRI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09	2018-08-29	18674	18674	160
25741	Mean rfMRI head motion, averaged across space and time points	0	2	0	31	0	0	3	0	0	0	mm	111	0	2	2	2	0	0	Mean rfMRI head motion, averaged across space and time points	2015-10-09	2018-08-29	19868	19868	190
25742	Mean tfMRI head motion, averaged across space and time points	0	2	0	31	0	0	3	0	0	0	mm	106	0	2	2	2	0	0	Mean tfMRI head motion, averaged across space and time points	2015-10-09	2018-08-29	18674	18674	430
25743	Inverted temporal signal-to-noise ratio in pre-processed rfMRI	0	2	0	31	0	0	3	0	0	0	ratio	111	0	2	2	2	0	0	Inverted temporal signal-to-noise ratio in the pre-processed rfMRI. Reciprocal of median (across brain voxels) of voxelwise mean intensity divided by voxelwise time-series standard deviation	2015-10-09	2018-08-29	19868	19868	210
25744	Inverted temporal signal-to-noise ratio in artefact-cleaned pre-processed rfMRI	0	2	0	31	0	0	3	0	0	0	ratio	111	0	2	2	2	0	0	Inverted temporal signal-to-noise ratio in the artefact-cleaned pre-processed rfMRI. Reciprocal of median (across brain voxels) of voxelwise mean intensity divided by voxelwise time-series standard deviation	2015-10-09	2018-08-29	19866	19866	200
25745	Inverted temporal signal-to-noise ratio in pre-processed tfMRI	0	2	0	31	0	0	3	0	0	0	ratio	106	0	2	2	2	0	0	Inverted temporal signal-to-noise ratio in the pre-processed tfMRI. Reciprocal of median (across brain voxels) of voxelwise mean intensity divided by voxelwise time-series standard deviation	2015-10-09	2018-08-29	18674	18674	330
25746	Number of dMRI outlier slices detected and corrected	0	2	0	11	0	0	3	0	0	0	slices	107	0	2	2	2	0	0	Number of dMRI outlier slices (across all slices in all volumes) detected and corrected	2015-10-09	2018-08-29	19401	19401	4450
25747	Eprime advisor file	0	2	0	41	0	20	0	0	0	0		106	0	2	2	2	0	0	Eprime advisor file	2015-10-13	2015-10-13	5157	5157	190
25748	Eprime txt file	0	2	0	41	0	20	0	0	0	0		106	0	2	2	2	0	0	Eprime txt file	2015-10-13	2015-10-13	5182	5182	180
25749	Eprime ed2 file	0	2	0	41	0	20	0	0	0	0		106	0	2	2	2	0	0	Eprime ed2 file	2015-10-13	2015-10-13	5157	5157	200
25750	rfMRI full correlation matrix, dimension 25	0	2	0	41	0	20	3	0	0	0		111	0	2	2	2	0	0	rfMRI full correlation matrix, dimension 25	2015-10-22	2018-08-29	19831	19831	130
25751	rfMRI full correlation matrix, dimension 100	0	2	0	41	0	20	3	0	0	0		111	0	2	2	2	0	0	rfmri full correlation matrix, dimension 100	2015-10-22	2018-08-29	19831	19831	160
25752	rfMRI partial correlation matrix, dimension 25	0	2	0	41	0	20	3	0	0	0		111	0	2	2	2	0	0	rfMRI partial correlation matrix, dimension 25	2015-10-22	2018-08-29	19831	19831	140
25753	rfMRI partial correlation matrix, dimension 100	0	2	0	41	0	20	3	0	0	0		111	0	2	2	2	0	0	rfMRI partial correlation matrix, dimension 100	2015-10-22	2018-08-29	19831	19831	170
25754	rfMRI component amplitudes, dimension 25	0	2	0	41	0	20	3	0	0	0		111	0	0	2	2	0	0	rfMRI component amplitudes, dimension 25	2016-09-16	2018-08-29	19830	19830	150
25755	rfMRI component amplitudes, dimension 100	0	2	0	41	0	20	3	0	0	0		111	0	0	2	2	0	0	rfMRI component amplitudes, dimension 100	2016-09-16	2018-08-29	19830	19830	180
25756	Scanner lateral (X) brain position	0	2	0	31	0	0	2	0	0	0	Units	110	1317	0	2	2	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The lateral brain position is the X-co-ordinate (left-right) of the centre of the brain mask within the scanner.	2017-08-10	2018-10-02	22389	22389	1820
25757	Scanner transverse (Y) brain position	0	2	0	31	0	0	2	0	0	0	Units	110	1317	0	2	2	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The transverse brain position is the Y-co-ordinate (front-back relative to head) of the back of the brain mask within the scanner.	2017-08-10	2018-10-02	22389	22389	1830
25758	Scanner longitudinal (Z) brain position	0	2	0	31	0	0	2	0	0	0	Units	110	1317	0	2	2	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The longitudinal brain position is the Z-co-ordinate of the centre of the brain mask within the scanner. The Z axis points down the centre of the magnet.	2017-08-10	2018-10-02	22389	22389	1840
25759	Scanner table position	0	2	0	31	0	0	2	0	0	0	Units	110	1317	0	2	2	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The table position is the Z-co-ordinate of the coil (and the scanner table that the coil sits on) within the scanner. The Z axis points down the centre of the magnet.	2017-08-10	2018-10-02	22484	22484	1850
25761	90th percentile of BOLD effect (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	250
25762	90th percentile of z-statistic (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	90th percentile of the z-statistic (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	290
25763	90th percentile of BOLD effect (in group-defined mask) for faces activation	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces activation (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	240
25764	90th percentile of z-statistic (in group-defined mask) for faces activation	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	90th percentile of the z-statistic (in group-defined mask) for faces activation (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	280
25765	90th percentile of BOLD effect (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	260
25766	90th percentile of z-statistic (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	90th percentile of the z-statistic (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	300
25767	90th percentile of BOLD effect (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	percent	106	0	2	2	2	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	230
25768	90th percentile of z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	0	0	0	Z	106	0	2	2	2	0	0	90th percentile of the z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-12	2018-08-29	18663	18663	270
25780	Acquisition protocol phase.	0	2	0	21	11	0	1	0	0	0		100	778	2	2	2	0	0	The acquisition protocol Phase number. Only dMRI (~L107~) and T2_FLAIR (~L112~) from Phase 2 are not compatible across all versions, and Quality Control measures and derived phenotypes are not generated for these.	2015-10-21	2015-10-23	4522	4522	0
25781	Total volume of white matter hyperintensities (from T1 and T2_FLAIR images)	0	2	0	31	0	0	3	0	0	0	mm3	112	0	2	2	2	0	0	Total volume of white matter hyperintensities (from T1 and T2_FLAIR images)	2017-01-18	2018-08-29	20200	20200	120
25782	Volume of grey matter in Frontal Pole (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Frontal Pole	2017-01-18	2018-08-29	21402	21402	540
25783	Volume of grey matter in Frontal Pole (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Frontal Pole	2017-01-18	2018-08-29	21402	21402	550
25784	Volume of grey matter in Insular Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Insular Cortex	2017-01-18	2018-08-29	21402	21402	740
25785	Volume of grey matter in Insular Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Insular Cortex	2017-01-18	2018-08-29	21402	21402	750
25786	Volume of grey matter in Superior Frontal Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Superior Frontal Gyrus	2017-01-18	2018-08-29	21402	21402	1220
25787	Volume of grey matter in Superior Frontal Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Superior Frontal Gyrus	2017-01-18	2018-08-29	21402	21402	1230
25788	Volume of grey matter in Middle Frontal Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Middle Frontal Gyrus	2017-01-18	2018-08-29	21402	21402	860
25789	Volume of grey matter in Middle Frontal Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Middle Frontal Gyrus	2017-01-18	2018-08-29	21402	21402	870
25790	Volume of grey matter in Inferior Frontal Gyrus, pars triangularis (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Inferior Frontal Gyrus, pars triangularis	2017-01-18	2018-08-29	21402	21402	660
25791	Volume of grey matter in Inferior Frontal Gyrus, pars triangularis (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Inferior Frontal Gyrus, pars triangularis	2017-01-18	2018-08-29	21402	21402	670
25792	Volume of grey matter in Inferior Frontal Gyrus, pars opercularis (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Inferior Frontal Gyrus, pars opercularis	2017-01-18	2018-08-29	21402	21402	640
25793	Volume of grey matter in Inferior Frontal Gyrus, pars opercularis (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Inferior Frontal Gyrus, pars opercularis	2017-01-18	2018-08-29	21402	21402	650
25794	Volume of grey matter in Precentral Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Precentral Gyrus	2017-01-18	2018-08-29	21402	21402	1140
25795	Volume of grey matter in Precentral Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Precentral Gyrus	2017-01-18	2018-08-29	21402	21402	1150
25796	Volume of grey matter in Temporal Pole (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Temporal Pole	2017-01-18	2018-08-29	21402	21402	1420
25797	Volume of grey matter in Temporal Pole (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Temporal Pole	2017-01-18	2018-08-29	21402	21402	1430
25798	Volume of grey matter in Superior Temporal Gyrus, anterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Superior Temporal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	1260
25799	Volume of grey matter in Superior Temporal Gyrus, anterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Superior Temporal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	1270
25800	Volume of grey matter in Superior Temporal Gyrus, posterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Superior Temporal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	1280
25801	Volume of grey matter in Superior Temporal Gyrus, posterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Superior Temporal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	1290
25802	Volume of grey matter in Middle Temporal Gyrus, anterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Middle Temporal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	880
25803	Volume of grey matter in Middle Temporal Gyrus, anterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Middle Temporal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	890
25804	Volume of grey matter in Middle Temporal Gyrus, posterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Middle Temporal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	900
25805	Volume of grey matter in Middle Temporal Gyrus, posterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Middle Temporal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	910
25806	Volume of grey matter in Middle Temporal Gyrus, temporooccipital part (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Middle Temporal Gyrus, temporooccipital part	2017-01-18	2018-08-29	21402	21402	920
25807	Volume of grey matter in Middle Temporal Gyrus, temporooccipital part (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Middle Temporal Gyrus, temporooccipital part	2017-01-18	2018-08-29	21402	21402	930
25808	Volume of grey matter in Inferior Temporal Gyrus, anterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Inferior Temporal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	680
25809	Volume of grey matter in Inferior Temporal Gyrus, anterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Inferior Temporal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	690
25810	Volume of grey matter in Inferior Temporal Gyrus, posterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Inferior Temporal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	700
25811	Volume of grey matter in Inferior Temporal Gyrus, posterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Inferior Temporal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	710
25812	Volume of grey matter in Inferior Temporal Gyrus, temporooccipital part (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Inferior Temporal Gyrus, temporooccipital part	2017-01-18	2018-08-29	21402	21402	720
25813	Volume of grey matter in Inferior Temporal Gyrus, temporooccipital part (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Inferior Temporal Gyrus, temporooccipital part	2017-01-18	2018-08-29	21402	21402	730
25814	Volume of grey matter in Postcentral Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Postcentral Gyrus	2017-01-18	2018-08-29	21402	21402	1120
25815	Volume of grey matter in Postcentral Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Postcentral Gyrus	2017-01-18	2018-08-29	21402	21402	1130
25816	Volume of grey matter in Superior Parietal Lobule (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Superior Parietal Lobule	2017-01-18	2018-08-29	21402	21402	1240
25817	Volume of grey matter in Superior Parietal Lobule (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Superior Parietal Lobule	2017-01-18	2018-08-29	21402	21402	1250
25818	Volume of grey matter in Supramarginal Gyrus, anterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Supramarginal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	1320
25819	Volume of grey matter in Supramarginal Gyrus, anterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Supramarginal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	1330
25820	Volume of grey matter in Supramarginal Gyrus, posterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Supramarginal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	1340
25821	Volume of grey matter in Supramarginal Gyrus, posterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Supramarginal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	1350
25822	Volume of grey matter in Angular Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Angular Gyrus	2017-01-18	2018-08-29	21402	21402	310
25823	Volume of grey matter in Angular Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Angular Gyrus	2017-01-18	2018-08-29	21402	21402	320
25824	Volume of grey matter in Lateral Occipital Cortex, superior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Lateral Occipital Cortex, superior division	2017-01-18	2018-08-29	21402	21402	820
25825	Volume of grey matter in Lateral Occipital Cortex, superior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Lateral Occipital Cortex, superior division	2017-01-18	2018-08-29	21402	21402	830
25826	Volume of grey matter in Lateral Occipital Cortex, inferior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Lateral Occipital Cortex, inferior division	2017-01-18	2018-08-29	21402	21402	800
25827	Volume of grey matter in Lateral Occipital Cortex, inferior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Lateral Occipital Cortex, inferior division	2017-01-18	2018-08-29	21402	21402	810
25828	Volume of grey matter in Intracalcarine Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Intracalcarine Cortex	2017-01-18	2018-08-29	21402	21402	760
25829	Volume of grey matter in Intracalcarine Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Intracalcarine Cortex	2017-01-18	2018-08-29	21402	21402	770
25830	Volume of grey matter in Frontal Medial Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Frontal Medial Cortex	2017-01-18	2018-08-29	21402	21402	480
25831	Volume of grey matter in Frontal Medial Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Frontal Medial Cortex	2017-01-18	2018-08-29	21402	21402	490
25832	Volume of grey matter in Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex) (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex)	2017-01-18	2018-08-29	21402	21402	780
25833	Volume of grey matter in Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex) (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex)	2017-01-18	2018-08-29	21402	21402	790
25834	Volume of grey matter in Subcallosal Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Subcallosal Cortex	2017-01-18	2018-08-29	21402	21402	1200
25835	Volume of grey matter in Subcallosal Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Subcallosal Cortex	2017-01-18	2018-08-29	21402	21402	1210
25836	Volume of grey matter in Paracingulate Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Paracingulate Gyrus	2017-01-18	2018-08-29	21402	21402	1000
25837	Volume of grey matter in Paracingulate Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Paracingulate Gyrus	2017-01-18	2018-08-29	21402	21402	1010
25838	Volume of grey matter in Cingulate Gyrus, anterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Cingulate Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	380
25839	Volume of grey matter in Cingulate Gyrus, anterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Cingulate Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	390
25840	Volume of grey matter in Cingulate Gyrus, posterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Cingulate Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	400
25841	Volume of grey matter in Cingulate Gyrus, posterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Cingulate Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	410
25842	Volume of grey matter in Precuneous Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Precuneous Cortex	2017-01-18	2018-08-29	21402	21402	1160
25843	Volume of grey matter in Precuneous Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Precuneous Cortex	2017-01-18	2018-08-29	21402	21402	1170
25844	Volume of grey matter in Cuneal Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Cuneal Cortex	2017-01-18	2018-08-29	21402	21402	460
25845	Volume of grey matter in Cuneal Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Cuneal Cortex	2017-01-18	2018-08-29	21402	21402	470
25846	Volume of grey matter in Frontal Orbital Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Frontal Orbital Cortex	2017-01-18	2018-08-29	21402	21402	520
25847	Volume of grey matter in Frontal Orbital Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Frontal Orbital Cortex	2017-01-18	2018-08-29	21402	21402	530
25848	Volume of grey matter in Parahippocampal Gyrus, anterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Parahippocampal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	1020
25849	Volume of grey matter in Parahippocampal Gyrus, anterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Parahippocampal Gyrus, anterior division	2017-01-18	2018-08-29	21402	21402	1030
25850	Volume of grey matter in Parahippocampal Gyrus, posterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Parahippocampal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	1040
25851	Volume of grey matter in Parahippocampal Gyrus, posterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Parahippocampal Gyrus, posterior division	2017-01-18	2018-08-29	21402	21402	1050
25852	Volume of grey matter in Lingual Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Lingual Gyrus	2017-01-18	2018-08-29	21402	21402	840
25853	Volume of grey matter in Lingual Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Lingual Gyrus	2017-01-18	2018-08-29	21402	21402	850
25854	Volume of grey matter in Temporal Fusiform Cortex, anterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Temporal Fusiform Cortex, anterior division	2017-01-18	2018-08-29	21402	21402	1360
25855	Volume of grey matter in Temporal Fusiform Cortex, anterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Temporal Fusiform Cortex, anterior division	2017-01-18	2018-08-29	21402	21402	1370
25856	Volume of grey matter in Temporal Fusiform Cortex, posterior division (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Temporal Fusiform Cortex, posterior division	2017-01-18	2018-08-29	21402	21402	1380
25857	Volume of grey matter in Temporal Fusiform Cortex, posterior division (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Temporal Fusiform Cortex, posterior division	2017-01-18	2018-08-29	21402	21402	1390
25858	Volume of grey matter in Temporal Occipital Fusiform Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Temporal Occipital Fusiform Cortex	2017-01-18	2018-08-29	21402	21402	1400
25859	Volume of grey matter in Temporal Occipital Fusiform Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Temporal Occipital Fusiform Cortex	2017-01-18	2018-08-29	21402	21402	1410
25860	Volume of grey matter in Occipital Fusiform Gyrus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Occipital Fusiform Gyrus	2017-01-18	2018-08-29	21402	21402	940
25861	Volume of grey matter in Occipital Fusiform Gyrus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Occipital Fusiform Gyrus	2017-01-18	2018-08-29	21402	21402	950
25862	Volume of grey matter in Frontal Operculum Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Frontal Operculum Cortex	2017-01-18	2018-08-29	21402	21402	500
25863	Volume of grey matter in Frontal Operculum Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Frontal Operculum Cortex	2017-01-18	2018-08-29	21402	21402	510
25864	Volume of grey matter in Central Opercular Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Central Opercular Cortex	2017-01-18	2018-08-29	21402	21402	360
25865	Volume of grey matter in Central Opercular Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Central Opercular Cortex	2017-01-18	2018-08-29	21402	21402	370
25866	Volume of grey matter in Parietal Operculum Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Parietal Operculum Cortex	2017-01-18	2018-08-29	21402	21402	1060
25867	Volume of grey matter in Parietal Operculum Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Parietal Operculum Cortex	2017-01-18	2018-08-29	21402	21402	1070
25868	Volume of grey matter in Planum Polare (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Planum Polare	2017-01-18	2018-08-29	21402	21402	1080
25869	Volume of grey matter in Planum Polare (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Planum Polare	2017-01-18	2018-08-29	21402	21402	1090
25870	Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Heschl's Gyrus (includes H1 and H2)	2017-01-18	2018-08-29	21402	21402	560
25871	Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Heschl's Gyrus (includes H1 and H2)	2017-01-18	2018-08-29	21402	21402	570
25872	Volume of grey matter in Planum Temporale (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Planum Temporale	2017-01-18	2018-08-29	21402	21402	1100
25873	Volume of grey matter in Planum Temporale (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Planum Temporale	2017-01-18	2018-08-29	21402	21402	1110
25874	Volume of grey matter in Supracalcarine Cortex (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Supracalcarine Cortex	2017-01-18	2018-08-29	21402	21402	1300
25875	Volume of grey matter in Supracalcarine Cortex (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Supracalcarine Cortex	2017-01-18	2018-08-29	21402	21402	1310
25876	Volume of grey matter in Occipital Pole (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Occipital Pole	2017-01-18	2018-08-29	21402	21402	960
25877	Volume of grey matter in Occipital Pole (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Occipital Pole	2017-01-18	2018-08-29	21402	21402	970
25878	Volume of grey matter in Thalamus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Thalamus	2017-01-18	2018-08-29	21402	21402	1440
25879	Volume of grey matter in Thalamus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Thalamus	2017-01-18	2018-08-29	21402	21402	1450
25880	Volume of grey matter in Caudate (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Caudate	2017-01-18	2018-08-29	21402	21402	340
25881	Volume of grey matter in Caudate (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Caudate	2017-01-18	2018-08-29	21402	21402	350
25882	Volume of grey matter in Putamen (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Putamen	2017-01-18	2018-08-29	21402	21402	1180
25883	Volume of grey matter in Putamen (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Putamen	2017-01-18	2018-08-29	21402	21402	1190
25884	Volume of grey matter in Pallidum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Pallidum	2017-01-18	2018-08-29	21402	21402	980
25885	Volume of grey matter in Pallidum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Pallidum	2017-01-18	2018-08-29	21402	21402	990
25886	Volume of grey matter in Hippocampus (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Hippocampus	2017-01-18	2018-08-29	21402	21402	580
25887	Volume of grey matter in Hippocampus (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Hippocampus	2017-01-18	2018-08-29	21402	21402	590
25888	Volume of grey matter in Amygdala (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Amygdala	2017-01-18	2018-08-29	21402	21402	290
25889	Volume of grey matter in Amygdala (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Amygdala	2017-01-18	2018-08-29	21402	21402	300
25890	Volume of grey matter in Ventral Striatum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Ventral Striatum	2017-01-18	2018-08-29	21402	21402	1560
25891	Volume of grey matter in Ventral Striatum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Ventral Striatum	2017-01-18	2018-08-29	21402	21402	1570
25892	Volume of grey matter in Brain-Stem	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Brain-Stem	2017-01-18	2018-08-29	21402	21402	330
25893	Volume of grey matter in I-IV Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left I-IV Cerebellum	2017-01-18	2018-08-29	21402	21402	600
25894	Volume of grey matter in I-IV Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right I-IV Cerebellum	2017-01-18	2018-08-29	21402	21402	610
25895	Volume of grey matter in V Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left V Cerebellum	2017-01-18	2018-08-29	21402	21402	1460
25896	Volume of grey matter in V Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right V Cerebellum	2017-01-18	2018-08-29	21402	21402	1470
25897	Volume of grey matter in VI Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left VI Cerebellum	2017-01-18	2018-08-29	21402	21402	1480
25898	Volume of grey matter in Vermis VI Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis VI Cerebellum	2017-01-18	2018-08-29	21402	21402	1610
25899	Volume of grey matter in VI Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right VI Cerebellum	2017-01-18	2018-08-29	21402	21402	1490
25900	Volume of grey matter in Crus I Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Crus I Cerebellum	2017-01-18	2018-08-29	21402	21402	420
25901	Volume of grey matter in Vermis Crus I Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis Crus I Cerebellum	2017-01-18	2018-08-29	21402	21402	1580
25902	Volume of grey matter in Crus I Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Crus I Cerebellum	2017-01-18	2018-08-29	21402	21402	430
25903	Volume of grey matter in Crus II Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left Crus II Cerebellum	2017-01-18	2018-08-29	21402	21402	440
25904	Volume of grey matter in Vermis Crus II Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis Crus II Cerebellum	2017-01-18	2018-08-29	21402	21402	1590
25905	Volume of grey matter in Crus II Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right Crus II Cerebellum	2017-01-18	2018-08-29	21402	21402	450
25906	Volume of grey matter in VIIb Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left VIIb Cerebellum	2017-01-18	2018-08-29	21402	21402	1540
25907	Volume of grey matter in Vermis VIIb Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis VIIb Cerebellum	2017-01-18	2018-08-29	21402	21402	1640
25908	Volume of grey matter in VIIb Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right VIIb Cerebellum	2017-01-18	2018-08-29	21402	21402	1550
25909	Volume of grey matter in VIIIa Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left VIIIa Cerebellum	2017-01-18	2018-08-29	21402	21402	1500
25910	Volume of grey matter in Vermis VIIIa Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis VIIIa Cerebellum	2017-01-18	2018-08-29	21402	21402	1620
25911	Volume of grey matter in VIIIa Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right VIIIa Cerebellum	2017-01-18	2018-08-29	21402	21402	1510
25912	Volume of grey matter in VIIIb Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left VIIIb Cerebellum	2017-01-18	2018-08-29	21402	21402	1520
25913	Volume of grey matter in Vermis VIIIb Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis VIIIb Cerebellum	2017-01-18	2018-08-29	21402	21402	1630
25914	Volume of grey matter in VIIIb Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right VIIIb Cerebellum	2017-01-18	2018-08-29	21402	21402	1530
25915	Volume of grey matter in IX Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left IX Cerebellum	2017-01-18	2018-08-29	21402	21402	620
25916	Volume of grey matter in Vermis IX Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis IX Cerebellum	2017-01-18	2018-08-29	21402	21402	1600
25917	Volume of grey matter in IX Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right IX Cerebellum	2017-01-18	2018-08-29	21402	21402	630
25918	Volume of grey matter in X Cerebellum (left)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Left X Cerebellum	2017-01-18	2018-08-29	21402	21402	1660
25919	Volume of grey matter in Vermis X Cerebellum	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Vermis X Cerebellum	2017-01-18	2018-08-29	21402	21402	1650
25920	Volume of grey matter in X Cerebellum (right)	0	2	0	31	0	0	3	0	0	0	mm3	110	0	2	2	2	0	0	Volume of grey matter in Right X Cerebellum	2017-01-18	2018-08-29	21402	21402	1670
26410	Index of Multiple Deprivation (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The English Indices of Deprivation 2010 are measures of multiple deprivation at the small area level. The model of multiple deprivation which underpins the Indices of Deprivation 2010 is based on the idea of distinct domains of deprivation which can be recognised and measured separately. These domains are experienced by individuals living in an area. People may be counted in one or more of the domains, depending on the number of types of deprivation that they experience.<p> Each domain represents a specific form of deprivation experienced by people and each can be measured individually using a number of indicators. Seven distinct domains have been identified in the English Indices of Deprivation; Income Deprivation, Employment Deprivation, Health Deprivation and Disability, Education Skills and Training Deprivation, Barriers to Housing and Services, Living Environment Deprivation, and Crime. Individual domains can be used in isolation as measures of each specific form of deprivation. They can also be combined, using appropriate weights, into a single overall Index of Multiple Deprivation which can be used to rank every small area in England according to the deprivation experienced by the people living there. Along with two supplementary indices, Income Deprivation Affecting Children Index and Income Deprivation Affecting Older People Index, they form the English Indices of Deprivation. These statistics allow the most, and least, deprived areas of the country to be identified as well as providing information about the issues faced by people living in different parts of the country.	2018-05-02	2018-05-04	432758	432758	0
26411	Income score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the proportion of the population in an area experiencing deprivation related to low income. A combined count of income deprived individuals per LSOA is calculated by summing the following five indicators: <ul> <li>Adults and children in Income Support families</li> <li>Adults and children in Income-Based Jobseeker's Allowance families</li> <li>Adults and children in Pension Credit (Guarantee) families</li> <li>Adults and children in Child Tax Credit families (who are not in receipt of Income Support, Income-Based Jobseeker's Allowance or Pension Credit) whose equivalised income (excluding housing benefits) is below 60 per cent of the median before housing costs</li> <li>Asylum seekers in England in receipt of subsistence support, accommodation support, or both.</li> </ul>	2018-05-02	2018-05-04	432758	432758	0
26412	Employment score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures employment deprivation in an area conceptualised as involuntary exclusion of the working age population from the labour market. A combined count of employment deprived individuals per LSOA is calculated by summing the following seven indicators: <ul> <li>Claimants of Jobseeker's Allowance (both Contributory and Income-Based) women aged 18-59 and men aged 18-64, averaged over 4 quarters</li> <li>Claimants of Incapacity Benefit women aged 18-59 and men aged 18-64, averaged over 4 quarters</li> <li>Claimants of Severe Disablement Allowance women aged 18-59 and men aged 18-64, averaged over 4 quarters</li> <li>Claimants of Employment Support Allowance women aged 18-59 and men aged 18-64</li> <li>Participants in New Deal for the 18-24s who are not in receipt of Jobseeker's Allowance, averaged over 4 quarters</li> <li>Participants in New Deal for 25+ who are not in receipt of Jobseeker's Allowance, averaged over 4 quarters</li> <li>Participants in New Deal for Lone Parents (after initial interview) aged over 18, averaged over 4 quarters.</li> </ul>	2018-05-02	2018-05-04	432758	432758	0
26413	Health score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures premature death and the impairment of quality of life by poor health. It considers both physical and mental health. The domain measures morbidity, disability and premature mortality but not aspects of behaviour or environment that may be predictive of future health deprivation. Four indicators are used to calculate this domain: <ul> <li>Years of Potential Life Lost - an age and sex standardised measure of premature death</li> <li>Comparative Illness and Disability Ratio - an age and sex standardised measure of morbidity and disability</li> <li>Measures of acute morbidity - an age and sex standardised rate of emergency admissions to hospital</li> <li>Proportion of adults under 60 suffering from mood or anxiety disorders - a modelled indicator for the proportion of adults suffering from mood and anxiety disorders.</li> </ul>	2018-05-02	2018-05-04	432758	432758	0
26414	Education score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the extent of deprivation in terms of education, skills and training in an area. The indicators are structured into two sub-domains: one relating to children and young people and one relating to adult skills. These two sub-domains are designed to reflect the 'flow' and 'stock' of educational disadvantage within an area respectively. Seven indicators are used to calculate this domain: <ul> <li>Average points score of pupils taking English, Maths and Science Key Stage 2 exams</li> <li>Average points score of pupils taking English, Maths and Science Key Stage 3 exams</li> <li>Average capped points score of pupils taking Key Stage 4 (GCSE or equivalent) exams</li> <li>Proportion of young people not staying on in school or non-advanced education above age 16</li> <li>Secondary school absence rate - the proportion of authorised and unauthorised absences from secondary school</li> <li>Proportion of those aged under 21 not entering Higher Education.</li> <li>Proportion of adults aged 25-54 with no or low qualifications.</li> </ul>	2018-05-02	2018-05-04	432758	432758	0
26415	Housing score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the physical and financial accessibility of housing and key local services. The indicators fall into two sub-domains: 'geographical barriers', which relate to the physical proximity of local services, and 'wider barriers' which includes issues relating to access to housing such as affordability. Seven indicators are combined to calculate this domain: <ul> <li>Household overcrowding - the proportion of households within an LSOA which are judged to have insufficient space to meet the household's needs</li> <li>Homelessness - the rate of acceptances for housing assistance under the homelessness provisions of the 1996 Housing Act (at local authority district level) </li> <li>Difficulty of access to owner-occupation (local authority district level) - proportion of households aged under 35 whose income means they are unable to afford to enter owner occupation</li> <li>Road distance to a GP surgery</li> <li>Road distance to a supermarket or convenience store</li> <li>Road distance to a primary school</li> <li>Road distance to a Post Office.</li> </ul>	2018-05-02	2018-05-04	432758	432758	0
26416	Crime score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the rate of recorded crime in an area for four major crime types representing the risk of personal and material victimisation at a small area level. <ul> <li>Violence - number of reported violent crimes (19 reported crime types) per 1000 at risk population</li> <li>Burglary - number of reported burglaries (4 reported crime types) per 1000 at risk population</li> <li>Theft - number of reported thefts (5 reported crime types) per 1000 at risk population</li> <li>Criminal damage - number of reported crimes (11 reported crime types) per 1000 at risk population.</li> </ul>	2018-05-02	2018-05-04	432758	432758	0
26417	Living environment score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the quality of individuals' immediate surroundings both within and outside the home. The indicators fall into two sub-domains: the 'indoors' living environment, which measures the quality of housing, and the 'outdoors' living environment which contains two measures relating to air quality and road traffic accidents. Four indicators are combined to calculate this domain: <ul> <li>Social and private housing in poor condition</li> <li>Houses with central heating</li> <li>Air quality</li> <li>Road traffic accidents.</li> </ul>	2018-05-02	2018-05-04	432758	432758	0
26418	Income score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the extent of deprivation relating to income at a small area level across Wales. It focuses on the proportion of people living in households with income below a defined threshold or claiming benefits relating to low incomes. The indicators used for the income domain were: <ul> <li>Adults & children in income support households</li> <li>Adults & children in pension credit households</li> <li>Adults & children in income-based job seekers allowance households</li> <li>Adults & children in tax credit (child tax credit and working tax credit) households below a low income threshold</li> <li>National Asylum Support Service (NASS) supported asylum seekers in Wales in receipt of subsistence only and accommodation support</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26419	Employment score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the extent of deprivation relating to employment at a small area level across Wales, and focuses on the proportion of working age people claiming out-of-work benefits. The indicators used for the employment domain were: <ul> <li>Claimants of unemployment-related benefits</li> <li>Claimants of incapacity benefit/severe disablement allowance</li> <li>Participants on New Deal for Young People and Intensive Activity Period (for New Deal 25+) not included in unemployment-related benefit counts</li> <li>Participants on New Deal for Lone Parents</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26420	Health score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the degree to which people are deprived of good health. The indicators used for the health domain were: <ul> <li>Limiting long-term illness (LLTI)</li> <li>Standardised all-cause death rate</li> <li>Standardised cancer incidence rate</li> <li>Singleton low birth weights</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26421	Education score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the extent of deprivation relating to education, training and skills at a small-area level across Wales. It is designed to reflect the 'stock' and 'flow' or educational disadvantage within an area, by capturing low attainment among children and young people and the lack of qualifications and skills in adults. The indicators used for the education domain were: <ul> <li>Key Stage 2, average point scores</li> <li>Key Stage 3, average point scores</li> <li>Key Stage 4, average point scores</li> <li>Primary school absence rates</li> <li>Secondary school absence rates</li> <li>Proportion of people not entering Higher Education aged 18-19</li> <li>Number of adults aged 25 - 59/64 with no qualifications</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26422	Access to services score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to illustrate the deprivation as a result of a household's inability to access a range of services, considered necessary for day-to-day living. The access is by walking or using public bus services or both. The indicators used for the geographical access to services domain were: <ul> <li>Food shop</li> <li>GP surgery</li> <li>Primary school</li> <li>Post office</li> <li>Public library</li> <li>Leisure centre</li> <li>NHS dentist</li> <li>Secondary school</li> <li>Transport nodes</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26423	Housing score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture deprivation though a lack of adequate housing. The indicators used for the housing domain were: <ul> <li>Lack of central heating</li> <li>Overcrowding (excluding all student households)</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26424	Physical environment score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to measure environmental factors that may impact on quality of life in an area. Negative impacts on quality of life are judged to be a form of deprivation. Environmental deprivation is generally not correlated with social or economic deprivation in Wales. (ref: Walker et al 2003). This domain does not capture aspects of deprivation such as health inequalities (this is an objective of the Health domain). Data covering Wales is not available on actual impacts on quality of life; so factors were chosen that were judged to indicate an increased potential for reduced quality of life and had data available. The indicators used for the physical environment domain were: <ul> <li>Air Quality</li> <li>Air Emissions</li> <li>Flood risk</li> <li>Proximity to waste disposal and industrial sites</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26425	Community safety score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to reflect where people are deprived of a safe community in which to live. Safety includes levels of household and personal crime and quality of experience in public places compatible with access to ordinary work, leisure and social relationships. The indicators used for the Community Safety domain were: <ul> <li>Police Force Recorded Crime</li> <li>Youth Offenders</li> <li>Adult Offenders</li> <li>Fire Incidence</li> </ul>	2018-05-02	2018-05-04	21187	21187	0
26426	Index of Multiple Deprivation (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The Welsh Index of Multiple Deprivation 2008 is the official measure of deprivation for small areas in Wales. It was developed for the Welsh Assembly Government by the Assembly's Statistical Directorate and the Local Government Data Unit (Wales). <p> The WIMD 2008 is made up of eight separate domains (or kinds) of deprivation: income, employment, health, education, housing, environment, access to services, and community safety. <p> Each of them was based on a range of different indicators which meant that they were measured in different ways using different units. So before they could be combined the measurements had to be transformed to make them compatible. For example, if the height of something had been measured in metres and the weight in kilograms it would not make sense simply to add them together. <p> Income and employment were classed as the most important factors, and they were given the biggest weighting in the overall index. Although there is more to deprivation than poverty, not having enough money or a job is a big part of it.	2018-05-02	2018-05-04	21187	21187	0
26427	Index of Multiple Deprivation (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The Scottish Index of Multiple Deprivation (SIMD) 2009 identifies small area concentrations of multiple deprivation across Scotland in a consistent manner. The SIMD combines data from seven distinct domains or topic areas all of which are considered to be important contributors to deprivation levels. These domains have remained the same as in the previous version of the index, published in 2006, and the data used in compiling each one is the most appropriate and up to date that was available at the time of constructing the index. <p> The SIMD is a relative measure of deprivation that uses 6,505 data zones across Scotland as its unit of comparison. The rank applied to each of these data zones identifies each as being more or less deprived than all the others in the country. The rankings run from 1 being the most deprived to 6505 being the least deprived. Therefore the smaller the ranking the more deprived the data zone. As the SIMD is a relative measure it cannot show how much more deprived one data zone is than another, e.g. that a data zone ranked 5 is twice as deprived as a data zone ranked 10. In the same way the distance between each ranking can vary - so the gap between the data zones ranked 16 and 17 could be very small while the gap between those ranked 17 and 18 could be much bigger. <p> The SIMD can be used to identify the small areas with the highest concentrations of multiple deprivation in Scotland using either the overall index or the individual domains. The most commonly used cut off levels are 10%, 15% or 20% - although different cut offs may be required depending on individual policy or organisational focus.	2018-05-02	2018-07-06	35853	35853	0
26428	Income score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Current Income Domain: <ul> <li>Adults receiving Guarantee Pension Credit</li> <li>Job Seekers Allowance Claimants</li> <li>Dependants of Job Seekers Allowance Claimants</li> <li>Adults (aged 16-59) receiving Income Support</li> <li>Dependants of Income Support Claimants</li> <li>Number of Adults and Children in Tax Credits Families on Low Incomes</li> </ul>	2018-05-02	2018-05-04	35853	35853	0
26429	Employment score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Employment Domain: <ul> <li>Working Age Unemployment Claimant Count averaged over 12 months</li> <li>Working Age Incapacity Benefit recipients, men aged under 65 and women aged under 60</li> <li>Working Age Severe Disablement Allowance recipients</li> <li>Working Age Compulsory New Deal participants - New Deal for the under 25s and New Deal for the 25+ not included in the unemployment claimant count</li> </ul>	2018-05-02	2018-05-04	35853	35853	0
26430	Health score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Health Domain: <ul> <li>Standardised Mortality Ratio</li> <li>Hospital Episodes Related to alcohol use</li> <li>Hospital Episodes Related to drug use</li> <li>Comparative Illness Factor</li> <li>Emergency admissions to hospital</li> <li>Proportion of population being prescribed drugs for anxiety, depression or psychosis</li> <li>Proportion of live singleton births of low birth weight</li> </ul>	2018-05-02	2018-07-06	35853	35853	0
26431	Education score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Education Skills and Training Domain: <ul> <li>School pupil absences</li> <li>Pupil performance on SQA at stage 4</li> <li>Working age people with no qualifications</li> <li>17-21 year olds enrolling into higher education</li> <li>People aged 16-19 not in education, employment or training</li> </ul>	2018-05-02	2018-05-04	35853	35853	0
26432	Housing score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Housing Domain: <ul> <li>Persons in households that are overcrowded</li> <li>Persons in households without central heating</li> </ul>	2018-05-02	2018-07-06	35853	35853	0
26433	Access to services score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Geographic Access Domain: <ul> <li>Average drive time to a primary school</li> <li>Average drive time to a secondary school</li> <li>Average drive time to a GP</li> <li>Average drive time to a post office</li> <li>Average drive time to shopping facilities</li> <li>Average drive time to a fuel station</li> <li>Public transport travel time to Shopping Facilities</li> <li>Public transport travel time to a GP</li> <li>Public transport travel time to a post office</li> </ul>	2018-05-02	2018-07-06	35853	35853	0
26434	Crime score (Scotland)	0	3	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Crime Domain: <ul> <li>Recorded Crimes of Violence</li> <li>Recorded Domestic housebreaking</li> <li>Recorded Vandalism</li> <li>Recorded Drugs Offences</li> <li>Recorded Minor Assault</li> </ul>	2018-05-02	2018-05-04	33493	33493	0
30000	White blood cell (leukocyte) count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "White Blood Cell Count" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. White blood count is the number of leukocytes. <p> Analyser operating range was 0 to 9x10^11 cells/Litre. <p> Typical reference range is 3.5x10^9 to 9.6x10^9 cells/Litre.	2012-01-05	2016-02-23	479374	503472	0
30001	White blood cell (leukocyte) count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "White Blood Cell Count" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474920	474920	0
30002	White blood cell (leukocyte) count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "White Blood Cell Count" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479374	503472	0
30003	White blood cell (leukocyte) count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure White blood cell (leukocyte) count	2012-01-05	2016-02-23	479374	503472	0
30004	White blood cell (leukocyte) count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for White blood cell (leukocyte) count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479374	503472	0
30010	Red blood cell (erythrocyte) count	0	0	0	31	0	0	0	1	0	0	10^12 cells/Litre	100081	0	2	0	2	0	0	Result of "Red Blood Cell Count" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Red blood cells is the number of erythrocytes. <p> Analyser operating range was 0 to 2x10^13 cells/Litre. <p> Typical reference range is 3.9x10^12 to 5.5x10^12 cells/Litre.	2012-01-05	2016-02-23	479379	503476	0
30011	Red blood cell (erythrocyte) count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Red Blood Cell Count" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474925	474925	0
30012	Red blood cell (erythrocyte) count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Red Blood Cell Count" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479379	503476	0
30013	Red blood cell (erythrocyte) count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Red blood cell (erythrocyte) count	2012-01-05	2016-02-23	479379	503476	0
30014	Red blood cell (erythrocyte) count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Red blood cell (erythrocyte) count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479379	503476	0
30020	Haemoglobin concentration	0	0	0	31	0	0	0	1	0	0	grams/decilitre	100081	0	2	0	2	0	0	Result of "Haemoglobin Concentration" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. <p> Analyser operating range was 0 to 99.9g/dL <p> Typical reference range is 12.1 to 16.3g/dL	2012-01-05	2016-02-23	479378	503478	0
30021	Haemoglobin concentration freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Haemoglobin Concentration" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474925	474925	0
30022	Haemoglobin concentration acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Haemoglobin Concentration" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479378	503478	0
30023	Haemoglobin concentration device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Haemoglobin concentration	2012-01-05	2016-02-23	479378	503478	0
30024	Haemoglobin concentration acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Haemoglobin concentration was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479378	503478	0
30030	Haematocrit percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Haematocrit" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Haematocrit Percentage is the relative volume of packed erythrocytes to whole blood, computed by the formula: (red blood cells x mean corpuscular volume) / 10. <p> Analyser operating range was 0 to 99.9% <p> Typical reference range is 35.4 to 47.2%	2012-01-05	2016-03-22	479379	503478	0
30031	Haematocrit freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Haematocrit" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474925	474925	0
30032	Haematocrit acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Haematocrit" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479379	503478	0
30033	Haematocrit percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Haematocrit percentage	2012-01-05	2016-02-23	479379	503478	0
30034	Haematocrit percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Haematocrit percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479379	503478	0
30040	Mean corpuscular volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Corpuscular Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Corpuscular Haemoglobin Concentration (pg) is the weight of hemoglobin in the average erythrocyte, computed by the formula: MCH = (hemoglobin/red blood cells) x 10.	2012-01-05	2016-02-23	479378	503476	0
30041	Mean corpuscular volume freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Corpuscular Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474923	474923	0
30042	Mean corpuscular volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Corpuscular Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479378	503476	0
30043	Mean corpuscular volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean corpuscular volume	2012-01-05	2016-02-23	479378	503476	0
30044	Mean corpuscular volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean corpuscular volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479378	503476	0
30050	Mean corpuscular haemoglobin	0	0	0	31	0	0	0	1	0	0	picograms	100081	0	2	0	2	0	0	Result of "Mean Corpuscular Haemoglobin" assay, performed on blood sample, obtained from UK Biobank assessment centre visit.	2012-01-05	2016-03-22	479375	503472	0
30051	Mean corpuscular haemoglobin freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Corpuscular Haemoglobin" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474922	474922	0
30052	Mean corpuscular haemoglobin acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Corpuscular Haemoglobin" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479375	503472	0
30053	Mean corpuscular haemoglobin device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean corpuscular haemoglobin	2012-01-05	2016-02-23	479375	503472	0
30054	Mean corpuscular haemoglobin acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean corpuscular haemoglobin was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479375	503472	0
30060	Mean corpuscular haemoglobin concentration	0	0	0	31	0	0	0	1	0	0	grams/decilitre	100081	0	2	0	2	0	0	Result of "Mean Corpuscular Haemoglobin Concentration" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Corpuscular Haemoglobin Concentration (g/dL) is the average weight of haemoglobin in a measured dilution, computed by the formula: (haemoglobin/haematocrit) x 100.	2012-01-05	2016-03-22	479372	503468	0
30061	Mean corpuscular haemoglobin concentration freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Corpuscular Haemoglobin Concentration" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474918	474918	0
30062	Mean corpuscular haemoglobin concentration acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Corpuscular Haemoglobin Concentration" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479372	503468	0
30063	Mean corpuscular haemoglobin concentration device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean corpuscular haemoglobin concentration	2012-01-05	2016-02-23	479372	503468	0
30064	Mean corpuscular haemoglobin concentration acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean corpuscular haemoglobin concentration was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479372	503468	0
30070	Red blood cell (erythrocyte) distribution width	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Red Distribution Width" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Red blood cell Distribution Width is the size distribution spread of the erythrocyte population derived from the red blood cell histogram. It is the coefficient of variation (CV) expressed in % of the red blood cell size distribution.	2012-01-05	2016-02-23	479378	503476	0
30071	Red blood cell (erythrocyte) distribution width freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Red Distribution Width" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474923	474923	0
30072	Red blood cell (erythrocyte) distribution width acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Red Distribution Width" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479378	503476	0
30073	Red blood cell (erythrocyte) distribution width device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Red blood cell (erythrocyte) distribution width	2012-01-05	2016-02-23	479378	503476	0
30074	Red blood cell (erythrocyte) distribution width acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Red blood cell (erythrocyte) distribution width was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479378	503476	0
30080	Platelet count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Platelet Count" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Platelet count is the number of thrombocytes derived from the platelet histogram.	2012-01-05	2016-02-23	479375	503475	0
30081	Platelet count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Platelet Count" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474922	474922	0
30082	Platelet count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Platelet Count" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479375	503475	0
30083	Platelet count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Platelet count	2012-01-05	2016-02-23	479375	503475	0
30084	Platelet count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Platelet count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479375	503475	0
30090	Platelet crit	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Platelet Crit" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Platelet Crit is a computed value that represents the platelet packed cell volume.	2012-01-05	2016-02-23	479161	497800	0
30091	Platelet crit freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Platelet Crit" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474918	474918	0
30092	Platelet crit acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Platelet Crit" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479161	497800	0
30093	Platelet crit device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Platelet crit	2012-01-05	2016-02-23	479161	497800	0
30094	Platelet crit acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Platelet crit was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479161	497800	0
30100	Mean platelet (thrombocyte) volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Platelet Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Platelet Volume is the average volume of individual platelets derived from the platelet histogram.	2012-01-05	2016-02-23	479370	503468	0
30101	Mean platelet (thrombocyte) volume freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Platelet Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474917	474917	0
30102	Mean platelet (thrombocyte) volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Platelet Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479370	503468	0
30103	Mean platelet (thrombocyte) volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean platelet (thrombocyte) volume	2012-01-05	2016-02-23	479370	503468	0
30104	Mean platelet (thrombocyte) volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean platelet (thrombocyte) volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479370	503468	0
30110	Platelet distribution width	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Platelet Distribution Width" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Platelet Distribution Width is the coefficient of variation of platelet size.	2012-01-05	2016-02-23	479160	497799	0
30111	Platelet distribution width freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Platelet Distribution Width" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474917	474917	0
30112	Platelet distribution width acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Platelet Distribution Width" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	479160	497799	0
30113	Platelet distribution width device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Platelet distribution width	2012-01-05	2016-02-23	479160	497799	0
30114	Platelet distribution width acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Platelet distribution width was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	479160	497799	0
30120	Lymphocyte count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Lymphocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Lymphocyte count is the proportion of ( lymphoctyes / 100 ) x white blood cell count	2012-01-05	2016-03-22	478511	502570	0
30121	Lymphocyte count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Lymphocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474038	474038	0
30122	Lymphocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Lymphocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478511	502570	0
30123	Lymphocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Lymphocyte count	2012-01-05	2016-02-23	478511	502570	0
30124	Lymphocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Lymphocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478511	502570	0
30130	Monocyte count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Monocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Monocyte count is the proportion of ( monoctyes / 100 ) x white blood cell count.	2012-01-05	2016-03-22	478511	502570	0
30131	Monocyte count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Monocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474032	474032	0
30132	Monocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Monocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478511	502570	0
30133	Monocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Monocyte count	2012-01-05	2016-02-23	478511	502570	0
30134	Monocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Monocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478511	502570	0
30140	Neutrophill count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Neutrophils Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Neutrophils count is the proportion of ( neutrophils / 100 ) x white blood cell count.	2012-01-05	2016-03-22	478511	502570	0
30141	Neutrophill count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Neutrophils Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474038	474038	0
30142	Neutrophill count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Neutrophils Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478511	502570	0
30143	Neutrophill count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Neutrophill count	2012-01-05	2016-02-23	478511	502570	0
30144	Neutrophill count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Neutrophill count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478511	502570	0
30150	Eosinophill count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Eosinophils Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Eosinophils count is the proportion of ( eosinophils / 100 ) x white blood cell count.	2012-01-05	2016-03-22	478511	502570	0
30151	Eosinophill count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Eosinophils Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	473934	473934	0
30152	Eosinophill count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Eosinophils Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478511	502570	0
30153	Eosinophill count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Eosinophill count	2012-01-05	2016-02-23	478511	502570	0
30154	Eosinophill count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Eosinophill count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478511	502570	0
30160	Basophill count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Basophils Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Basophils count is the proportion of ( basophils / 100 ) x white blood cell count.	2012-01-05	2016-03-22	478511	502570	0
30161	Basophill count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Basophils Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	472980	472980	0
30162	Basophill count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Basophils Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478511	502570	0
30163	Basophill count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Basophill count	2012-01-05	2016-02-23	478511	502570	0
30164	Basophill count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Basophill count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478511	502570	0
30170	Nucleated red blood cell count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Nucleated Red Blood Cells Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Nucleated Red Blood Cells count is calculated as: Nucleated Red Blood Cells (percentage) x white blood cell count .	2012-01-05	2016-03-22	478285	496879	0
30171	Nucleated red blood cell count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Nucleated Red Blood Cells Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	472698	472698	0
30172	Nucleated red blood cell count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Nucleated Red Blood Cells Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478285	496879	0
30173	Nucleated red blood cell count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Nucleated red blood cell count	2012-01-05	2016-02-23	478285	496879	0
30174	Nucleated red blood cell count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Nucleated red blood cell count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478285	496879	0
30180	Lymphocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Lymphocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Lymphocytes (Percentage) is calculated as the proportion of lymphocytes in the leukocytes.	2012-01-05	2016-02-23	478516	502577	0
30181	Lymphocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Lymphocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474044	474044	0
30182	Lymphocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Lymphocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478516	502577	0
30183	Lymphocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Lymphocyte percentage	2012-01-05	2016-02-23	478516	502577	0
30184	Lymphocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Lymphocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478516	502577	0
30190	Monocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Monocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Monocytes (percentage) is calculated as the proportion of monocytes in the leukocytes.	2012-01-05	2016-02-23	478516	502577	0
30191	Monocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Monocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474043	474043	0
30192	Monocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Monocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478516	502577	0
30193	Monocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Monocyte percentage	2012-01-05	2016-02-23	478516	502577	0
30194	Monocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Monocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478516	502577	0
30200	Neutrophill percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Neutrophils Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Neutrophils (Percentage) is calculated as the proportion of neutrophils in the leukocytes.	2012-01-05	2016-02-23	478516	502577	0
30201	Neutrophill percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Neutrophils Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474044	474044	0
30202	Neutrophill percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Neutrophils Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478516	502577	0
30203	Neutrophill percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Neutrophill percentage	2012-01-05	2016-02-23	478516	502577	0
30204	Neutrophill percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Neutrophill percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478516	502577	0
30210	Eosinophill percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Eosinophils Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Eosinophils (Percentage) is calculated as the proportion of eosinophils in the leukocytes.	2012-01-05	2016-02-23	478516	502577	0
30211	Eosinophill percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Eosinophils Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474040	474040	0
30212	Eosinophill percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Eosinophils Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478516	502577	0
30213	Eosinophill percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Eosinophill percentage	2012-01-05	2016-02-23	478516	502577	0
30214	Eosinophill percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Eosinophill percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478516	502577	0
30220	Basophill percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Basophils Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Basophils (Percentage) is calculated as the proportion of basophils in the leukocytes.	2012-01-05	2016-02-23	478516	502577	0
30221	Basophill percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Basophils Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	474024	474024	0
30222	Basophill percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Basophils Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478516	502577	0
30223	Basophill percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Basophill percentage	2012-01-05	2016-02-23	478516	502577	0
30224	Basophill percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Basophill percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478516	502577	0
30230	Nucleated red blood cell percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Nucleated Red Blood Cells Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Nucleated Red Blood Cells (Percentage) is defined as the number of nucleated red blood cells per 100 white blood cells.	2012-01-05	2016-02-23	478281	496875	0
30231	Nucleated red blood cell percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Nucleated Red Blood Cells Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	472699	472699	0
30232	Nucleated red blood cell percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Nucleated Red Blood Cells Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	478286	496880	0
30233	Nucleated red blood cell percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Nucleated red blood cell percentage	2012-01-05	2016-02-23	478286	496880	0
30234	Nucleated red blood cell percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Nucleated red blood cell percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	478286	496880	0
30240	Reticulocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Reticulocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Reticulocytes (Percentage) is the number of reticulocytes as a percentage of red blood cells.	2012-01-05	2016-02-23	471320	494736	0
30241	Reticulocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Reticulocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	466741	466741	0
30242	Reticulocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Reticulocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	471320	494736	0
30243	Reticulocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Reticulocyte percentage	2012-01-05	2016-02-23	471320	494736	0
30244	Reticulocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Reticulocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	471320	494736	0
30250	Reticulocyte count	0	0	0	31	0	0	0	1	0	0	10^12 cells/Litre	100081	0	2	0	2	0	0	Result of "Reticulocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Reticulocytes count is computed from the reticulocyte per cent multiplied by the red blood cell count.	2012-01-05	2016-02-23	471320	494737	0
30251	Reticulocyte count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Reticulocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	466741	466741	0
30252	Reticulocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Reticulocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	471320	494737	0
30253	Reticulocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Reticulocyte count	2012-01-05	2016-02-23	471320	494737	0
30254	Reticulocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Reticulocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	471320	494737	0
30260	Mean reticulocyte volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Reticulocytes Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Reticulocytes volume is the average volume of all reticulocytes, calculated from the reticulocytes (percentage).	2012-01-05	2016-02-23	471319	494737	0
30261	Mean reticulocyte volume freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Reticulocytes Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	466740	466740	0
30262	Mean reticulocyte volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Reticulocytes Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	471319	494737	0
30263	Mean reticulocyte volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean reticulocyte volume	2012-01-05	2016-02-23	471319	494737	0
30264	Mean reticulocyte volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean reticulocyte volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	471319	494737	0
30270	Mean sphered cell volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Sphered Cells Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit.	2012-01-05	2016-02-23	471060	489167	0
30271	Mean sphered cell volume freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Sphered Cells Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	466742	466742	0
30272	Mean sphered cell volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Sphered Cells Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	471060	489167	0
30273	Mean sphered cell volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean sphered cell volume	2012-01-05	2016-02-23	471060	489167	0
30274	Mean sphered cell volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean sphered cell volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	471060	489167	0
30280	Immature reticulocyte fraction	0	0	0	31	0	0	0	1	0	0	ratio	100081	0	2	0	2	0	0	Result of "Immature Reticulocytes Fraction" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Immature Reticulocytes Fraction (Percentage) is an indication of new reticulocyte synthesis and is calculated from the reticulocytes (Percentage) as the total number of reticulocyte events in the outermost light scattering region, corresponding to immature reticulocytes, relative to the total number of reticulocytes and is reported as this ratio.	2012-01-05	2016-02-23	471058	489165	0
30281	Immature reticulocyte fraction freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Immature Reticulocytes Fraction" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	466740	466740	0
30282	Immature reticulocyte fraction acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Immature Reticulocytes Fraction" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	471058	489165	0
30283	Immature reticulocyte fraction device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Immature reticulocyte fraction	2012-01-05	2016-02-23	471058	489165	0
30284	Immature reticulocyte fraction acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Immature reticulocyte fraction was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	471058	489165	0
30290	High light scatter reticulocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "High Light Scatter Reticulocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. High Light Scatter Reticulocytes (Percentage) is computed as: (HLR / Total Erythrocytes) x 100.	2012-01-05	2016-02-23	471060	489167	0
30291	High light scatter reticulocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "High Light Scatter Reticulocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	466742	466742	0
30292	High light scatter reticulocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "High Light Scatter Reticulocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	471060	489167	0
30293	High light scatter reticulocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure High light scatter reticulocyte percentage	2012-01-05	2016-02-23	471060	489167	0
30294	High light scatter reticulocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for High light scatter reticulocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	471060	489167	0
30300	High light scatter reticulocyte count	0	0	0	31	0	0	0	1	0	0	10^12 cells/Litre	100081	0	2	0	2	0	0	Result of "High Light Scatter Reticulocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. High Light Scatter Reticulocytes Count is calculated as: (HLR / Total Erythrocytes) x red blood cells	2012-01-05	2016-02-23	471059	489166	0
30301	High light scatter reticulocyte count freeze-thaw cycles	0	0	0	11	0	0	2	0	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "High Light Scatter Reticulocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2012-03-22	466741	466741	0
30302	High light scatter reticulocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "High Light Scatter Reticulocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05	2016-02-23	471059	489166	0
30303	High light scatter reticulocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure High light scatter reticulocyte count	2012-01-05	2016-02-23	471059	489166	0
30304	High light scatter reticulocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for High light scatter reticulocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05	2016-02-22	471059	489166	0
30314	Volume of EDTA1 plasma held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA1 plasma" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	486334	501576	0
30324	Volume of EDTA1 red cells held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA1 red cells" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	486115	501347	0
30334	Volume of EDTA1 buffy held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA1 buffy" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	486046	501286	0
30344	Volume of EDTA2 plasma held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA2 plasma" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	480390	495423	0
30354	Volume of EDTA2 buffy held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA2 buffy" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	480222	495224	0
30364	Volume of EDTA2 red cells held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA2 red cells" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	480201	495201	0
30374	Volume of Li-Hep plasma held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "Lithium-Heparin plasma" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	487699	502832	0
30384	Volume of serum held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "serum" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	485922	501060	0
30394	Total volume of urine samples held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100087	0	2	0	1	0	0	Volume held of "urine" sample, obtained from Initial UK Biobank assessment centre visit.	2012-01-05	2014-06-05	483330	497678	0
30404	Volume of ACD held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "ACD" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	483671	498673	0
30414	Volume of RNA held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "RNA" sample, obtained from UK Biobank assessment centre visits.	2012-01-05	2014-06-05	128019	131348	0
30424	Total volume of saliva samples held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100086	0	2	0	1	0	0	Volume held of "saliva" sample, obtained from Initial UK Biobank assessment centre visit.	2012-01-05	2014-06-05	96326	98672	0
30500	Microalbumin in urine	0	2	0	31	0	0	0	1	0	0	mg/L	100083	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5400.	2016-10-10	2016-11-01	156605	159410	0
30502	Microalbumin in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Microalbumin in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23	2016-11-01	484967	503652	0
30503	Microalbumin in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Microalbumin in urine	2016-10-23	2016-11-01	484967	503652	0
30505	Microalbumin in urine result flag	0	2	0	21	41	0	0	1	0	0		100083	198	2	0	1	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Microalbumin in urine	2016-10-23	2016-11-01	334069	344242	0
30510	Creatinine (enzymatic) in urine	0	2	0	31	0	0	0	1	0	0	micromole/L	100083	0	2	0	1	0	0	Measured by enzymatic analysis on a Beckman Coulter AU5400.	2016-10-10	2016-11-01	484987	503673	0
30512	Creatinine (enzymatic) in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Creatinine (enzymatic) in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23	2016-11-01	484991	503677	0
30513	Creatinine (enzymatic) in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Creatinine (enzymatic) in urine	2016-10-23	2016-11-01	484991	503677	0
30515	Creatinine (enzymatic) in urine result flag	0	2	0	21	41	0	0	0	0	0		100083	199	2	0	0	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Creatinine (enzymatic) in urine	2016-10-23	2016-11-01	4	4	0
30520	Potassium in urine	0	2	0	31	0	0	0	1	0	0	millimole/L	100083	0	2	0	1	0	0	Measured by ISE (ion selective electrode) analysis on a Beckman Coulter AU5400.	2016-10-10	2016-11-01	484002	502621	0
30522	Potassium in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Potassium in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23	2016-11-01	484985	503671	0
30523	Potassium in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Potassium in urine	2016-10-23	2016-11-01	484985	503671	0
30525	Potassium in urine result flag	0	2	0	21	41	0	0	1	0	0		100083	197	2	0	1	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Potassium in urine	2016-10-23	2016-11-01	1049	1050	0
30530	Sodium in urine	0	2	0	31	0	0	0	1	0	0	millimole/L	100083	0	2	0	1	0	0	Measured by ISE (ion selective electrode) analysis using Beckman Coulter AU5400.	2016-10-10	2016-11-01	483972	502603	0
30532	Sodium in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Sodium in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23	2016-11-01	484983	503669	0
30533	Sodium in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Sodium in urine	2016-10-23	2016-11-01	484983	503669	0
30535	Sodium in urine result flag	0	2	0	21	41	0	0	1	0	0		100083	196	2	0	1	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Sodium in urine	2016-10-23	2016-11-01	1062	1066	0
30600	Albumin	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by BCG analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	432359	445793	0
30601	Albumin assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Albumin assay was carried out.	2018-06-01	2018-06-06	474806	492193	190
30602	Albumin aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Albumin assay.	2018-06-01	2018-06-07	474597	491972	180
30603	Albumin correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Albumin assay result.	2018-06-01	2019-03-06	432359	445793	200
30604	Albumin correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Albumin assay result.	2018-06-01	2019-03-06	432359	445793	210
30605	Albumin missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Albumin assay result is missing.	2018-06-01	2019-03-06	65194	65658	230
30606	Albumin reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAlbumin assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	432374	445809	240
30610	Alkaline phosphatase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by AMP(IFCC) analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470883	487499	0
30611	Alkaline phosphatase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Alkaline phosphatase assay was carried out.	2018-06-01	2018-06-06	474862	492226	260
30612	Alkaline phosphatase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Alkaline phosphatase assay.	2018-06-01	2018-06-07	474653	492005	250
30613	Alkaline phosphatase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Alkaline phosphatase assay result.	2018-06-01	2019-03-06	470883	487499	270
30614	Alkaline phosphatase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Alkaline phosphatase assay result.	2018-06-01	2019-03-06	470883	487499	280
30615	Alkaline phosphatase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Alkaline phosphatase assay result is missing.	2018-06-01	2019-03-06	23879	23952	300
30616	Alkaline phosphatase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAlkaline phosphatase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470929	487548	310
30620	Alanine aminotransferase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by IFCC analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470682	487292	0
30621	Alanine aminotransferase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Alanine aminotransferase assay was carried out.	2018-06-01	2018-06-06	474922	492316	120
30622	Alanine aminotransferase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Alanine aminotransferase assay.	2018-06-01	2018-06-07	474713	492095	110
30623	Alanine aminotransferase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Alanine aminotransferase assay result.	2018-06-01	2019-03-06	470682	487292	130
30624	Alanine aminotransferase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Alanine aminotransferase assay result.	2018-06-01	2019-03-06	470682	487292	140
30625	Alanine aminotransferase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Alanine aminotransferase assay result is missing.	2018-06-01	2019-03-06	24084	24159	160
30626	Alanine aminotransferase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAlanine aminotransferase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	470748	487359	170
30630	Apolipoprotein A	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	429811	443101	0
30631	Apolipoprotein A assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Apolipoprotein A assay was carried out.	2018-06-01	2018-06-06	474176	491529	330
30632	Apolipoprotein A aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Apolipoprotein A assay.	2018-06-01	2018-06-07	473967	491308	320
30633	Apolipoprotein A correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Apolipoprotein A assay result.	2018-06-01	2019-03-06	429811	443101	340
30634	Apolipoprotein A correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Apolipoprotein A assay result.	2018-06-01	2019-03-06	429811	443101	350
30635	Apolipoprotein A missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Apolipoprotein A assay result is missing.	2018-06-01	2019-03-06	67821	68350	370
30636	Apolipoprotein A reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aApolipoprotein A assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	431543	444930	380
30640	Apolipoprotein B	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	468537	485022	0
30641	Apolipoprotein B assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Apolipoprotein B assay was carried out.	2018-06-01	2018-06-06	474642	492005	400
30642	Apolipoprotein B aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Apolipoprotein B assay.	2018-06-01	2018-06-07	474434	491785	390
30643	Apolipoprotein B correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Apolipoprotein B assay result.	2018-06-01	2019-03-06	468537	485022	410
30644	Apolipoprotein B correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Apolipoprotein B assay result.	2018-06-01	2019-03-06	468537	485022	420
30645	Apolipoprotein B missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Apolipoprotein B assay result is missing.	2018-06-01	2019-03-06	26329	26429	440
30646	Apolipoprotein B reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aApolipoprotein B assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	469689	486232	450
30650	Aspartate aminotransferase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by IFCC analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	469133	485628	0
30651	Aspartate aminotransferase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Aspartate aminotransferase assay was carried out.	2018-06-01	2018-06-06	474903	492302	470
30652	Aspartate aminotransferase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Aspartate aminotransferase assay.	2018-06-01	2018-06-07	474694	492081	460
30653	Aspartate aminotransferase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Aspartate aminotransferase assay result.	2018-06-01	2019-03-06	469133	485628	480
30654	Aspartate aminotransferase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Aspartate aminotransferase assay result.	2018-06-01	2019-03-06	469133	485628	490
30655	Aspartate aminotransferase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Aspartate aminotransferase assay result is missing.	2018-06-01	2019-03-06	25740	25823	510
30656	Aspartate aminotransferase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAspartate aminotransferase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	469147	485642	520
30660	Direct bilirubin	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by DPD analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	401049	413684	0
30661	Direct bilirubin assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Direct bilirubin assay was carried out.	2018-06-01	2018-06-06	474422	491731	880
30662	Direct bilirubin aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Direct bilirubin assay.	2018-06-01	2018-06-07	474213	491510	870
30663	Direct bilirubin correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Direct bilirubin assay result.	2018-06-01	2019-03-06	401049	413684	890
30664	Direct bilirubin correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Direct bilirubin assay result.	2018-06-01	2019-03-06	401049	413684	900
30665	Direct bilirubin missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Direct bilirubin assay result is missing.	2018-06-01	2019-03-06	96310	97767	920
30666	Direct bilirubin reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aDirect bilirubin assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	469272	485796	930
30670	Urea	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by GLDH, kinetic analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470562	487149	0
30671	Urea assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Urea assay was carried out.	2018-06-01	2018-06-06	474589	491956	2030
30672	Urea aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Urea assay.	2018-06-01	2018-06-07	474380	491735	2020
30673	Urea correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Urea assay result.	2018-06-01	2019-03-06	470562	487149	2040
30674	Urea correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Urea assay result.	2018-06-01	2019-03-06	470562	487149	2050
30675	Urea missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Urea assay result is missing.	2018-06-01	2019-03-06	24228	24302	2070
30676	Urea reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aUrea assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470572	487159	2080
30680	Calcium	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by Arsenazo III analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	432211	445642	0
30681	Calcium assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Calcium assay was carried out.	2018-06-01	2018-06-06	474432	491810	600
30682	Calcium aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Calcium assay.	2018-06-01	2018-06-07	474223	491589	590
30683	Calcium correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Calcium assay result.	2018-06-01	2019-03-06	432211	445642	610
30684	Calcium correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Calcium assay result.	2018-06-01	2019-03-06	432211	445642	620
30685	Calcium missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Calcium assay result is missing.	2018-06-01	2019-03-06	65344	65809	640
30686	Calcium reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCalcium assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	432269	445703	650
30690	Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by CHO-POD analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470870	487493	0
30691	Cholesterol assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Cholesterol assay was carried out.	2018-06-01	2018-06-06	474841	492237	670
30692	Cholesterol aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Cholesterol assay.	2018-06-01	2018-06-07	474632	492016	660
30693	Cholesterol correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Cholesterol assay result.	2018-06-01	2019-03-06	470870	487493	680
30694	Cholesterol correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Cholesterol assay result.	2018-06-01	2019-03-06	470870	487493	690
30695	Cholesterol missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Cholesterol assay result is missing.	2018-06-01	2019-03-06	23885	23958	710
30696	Cholesterol reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCholesterol assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470877	487500	720
30700	Creatinine	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by enzymatic analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470647	487227	0
30701	Creatinine assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Creatinine assay was carried out.	2018-06-01	2018-06-06	474598	491951	740
30702	Creatinine aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Creatinine assay.	2018-06-01	2018-06-07	474389	491730	730
30703	Creatinine correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Creatinine assay result.	2018-06-01	2019-03-06	470647	487227	750
30704	Creatinine correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Creatinine assay result.	2018-06-01	2019-03-06	470647	487227	760
30705	Creatinine missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Creatinine assay result is missing.	2018-06-01	2019-03-06	24150	24224	780
30706	Creatinine reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCreatinine assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470647	487227	790
30710	C-reactive protein	0	2	0	31	0	0	0	1	0	0	mg/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric - high sensitivity analysis on a Beckman Coulter AU5800	2018-05-17	2018-06-07	469881	486432	0
30711	C-reactive protein assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the C-reactive protein assay was carried out.	2018-06-01	2018-06-06	474450	491820	540
30712	C-reactive protein aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the C-reactive protein assay.	2018-06-01	2018-06-07	474241	491599	530
30713	C-reactive protein correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the C-reactive protein assay result.	2018-06-01	2018-06-07	469881	486432	550
30714	C-reactive protein correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the C-reactive protein assay result.	2018-06-01	2018-06-07	469881	486432	560
30715	C-reactive protein missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a C-reactive protein assay result is missing.	2018-06-01	2019-03-06	24942	25019	570
30716	C-reactive protein reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aC-reactive protein assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470287	486875	580
30720	Cystatin C	0	2	0	31	0	0	0	1	0	0	mg/L	17518	0	2	0	1	0	0	Measured by latex enhanced immunoturbidimetric analysis on a Siemens ADVIA 1800	2018-05-17	2019-03-06	470841	487449	0
30721	Cystatin C assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Cystatin C assay was carried out.	2018-06-01	2018-06-06	474759	492136	810
30722	Cystatin C aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Cystatin C assay.	2018-06-01	2018-06-07	474549	491914	800
30723	Cystatin C correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Cystatin C assay result.	2018-06-01	2019-03-06	470841	487449	820
30724	Cystatin C correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Cystatin C assay result.	2018-06-01	2019-03-06	470841	487449	830
30725	Cystatin C missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Cystatin C assay result is missing.	2018-06-01	2019-03-06	23928	24002	850
30726	Cystatin C reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCystatin C assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	470856	487464	860
30730	Gamma glutamyltransferase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by IFCC analysis on a Beckman Coulter AU5800	2018-05-17	2018-06-07	470628	487232	0
30731	Gamma glutamyltransferase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Gamma glutamyltransferase assay was carried out.	2018-06-01	2018-06-06	474740	492125	950
30732	Gamma glutamyltransferase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Gamma glutamyltransferase assay.	2018-06-01	2018-06-07	474531	491904	940
30733	Gamma glutamyltransferase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Gamma glutamyltransferase assay result.	2018-06-01	2018-06-07	470628	487232	960
30734	Gamma glutamyltransferase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Gamma glutamyltransferase assay result.	2018-06-01	2018-06-07	470628	487232	970
30735	Gamma glutamyltransferase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Gamma glutamyltransferase assay result is missing.	2018-06-01	2019-03-06	24146	24219	980
30736	Gamma glutamyltransferase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aGamma glutamyltransferase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470722	487327	990
30740	Glucose	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by hexokinase analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	431865	445276	0
30741	Glucose assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Glucose assay was carried out.	2018-06-01	2018-06-06	474171	491526	1010
30742	Glucose aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Glucose assay.	2018-06-01	2018-06-07	473962	491305	1000
30743	Glucose correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Glucose assay result.	2018-06-01	2019-03-06	431865	445276	1020
30744	Glucose correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Glucose assay result.	2018-06-01	2019-03-06	431865	445276	1030
30745	Glucose missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Glucose assay result is missing.	2018-06-01	2019-03-06	65708	66175	1050
30746	Glucose reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aGlucose assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	431873	445284	1060
30750	Glycated haemoglobin (HbA1c)	0	2	0	31	0	0	0	1	0	0	mmol/mol	17518	0	2	0	1	0	0	Measured by HPLC analysis on a Bio-Rad VARIANT II Turbo	2018-05-17	2019-03-06	467936	480799	0
30751	Glycated haemoglobin (HbA1c) assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Glycated haemoglobin (HbA1c) assay was carried out.	2018-06-01	2018-06-06	483371	497045	1080
30753	Glycated haemoglobin (HbA1c) correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Glycated haemoglobin (HbA1c) assay result.	2018-06-01	2018-06-07	467936	480799	1090
30754	Glycated haemoglobin (HbA1c) correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Glycated haemoglobin (HbA1c) assay result.	2018-06-01	2018-06-07	467936	480799	1100
30755	Glycated haemoglobin (HbA1c) missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Glycated haemoglobin (HbA1c) assay result is missing.	2018-06-01	2019-03-06	30399	30652	1110
30756	Glycated haemoglobin (HbA1c) reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aGlycated haemoglobin (HbA1c) assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	468131	480999	1120
30760	HDL cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by enzyme immunoinhibition analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	432156	445586	0
30761	HDL cholesterol assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the HDL cholesterol assay was carried out.	2018-06-01	2018-06-06	474677	492058	1140
30762	HDL cholesterol aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the HDL cholesterol assay.	2018-06-01	2018-06-07	474468	491837	1130
30763	HDL cholesterol correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the HDL cholesterol assay result.	2018-06-01	2019-03-06	432156	445586	1150
30764	HDL cholesterol correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the HDL cholesterol assay result.	2018-06-01	2019-03-06	432156	445586	1160
30765	HDL cholesterol missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a HDL cholesterol assay result is missing.	2018-06-01	2019-03-06	65395	65865	1180
30766	HDL cholesterol reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aHDL cholesterol assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	432162	445592	1190
30770	IGF-1	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by CLIA analysis on a DiaSorin Ltd. LIASON XL	2018-05-17	2019-03-06	468409	484766	0
30771	IGF-1 assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the IGF-1 assay was carried out.	2018-06-01	2018-06-06	472319	489439	1210
30772	IGF-1 aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the IGF-1 assay.	2018-06-01	2018-06-07	472108	489217	1200
30773	IGF-1 correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the IGF-1 assay result.	2018-06-01	2019-03-06	468409	484766	1220
30774	IGF-1 correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the IGF-1 assay result.	2018-06-01	2019-03-06	468409	484766	1230
30775	IGF-1 missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a IGF-1 assay result is missing.	2018-06-01	2019-03-06	26596	26685	1250
30776	IGF-1 reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aIGF-1 assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	468415	484772	1260
30780	LDL direct	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by enzymatic protective selection analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470032	486570	0
30781	LDL direct assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the LDL direct assay was carried out.	2018-06-01	2018-06-06	474111	491425	1280
30782	LDL direct aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the LDL direct assay.	2018-06-01	2018-06-07	473902	491204	1270
30783	LDL direct correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the LDL direct assay result.	2018-06-01	2019-03-06	470032	486570	1290
30784	LDL direct correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the LDL direct assay result.	2018-06-01	2019-03-06	470032	486570	1300
30785	LDL direct missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a LDL direct assay result is missing.	2018-06-01	2019-03-06	24802	24881	1320
30786	LDL direct reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aLDL direct assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470039	486577	1330
30790	Lipoprotein A	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Randox AU5800	2018-05-17	2019-03-01	377680	389883	0
30791	Lipoprotein A assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Lipoprotein A assay was carried out.	2018-06-01	2018-06-06	460507	476781	1350
30792	Lipoprotein A aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Lipoprotein A assay.	2018-06-01	2018-06-07	460300	476562	1340
30793	Lipoprotein A correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Lipoprotein A assay result.	2018-06-01	2019-03-06	377680	389883	1360
30794	Lipoprotein A correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Lipoprotein A assay result.	2018-06-01	2019-03-06	377680	389883	1370
30795	Lipoprotein A missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Lipoprotein A assay result is missing.	2018-06-01	2019-03-06	118802	121568	1380
30796	Lipoprotein A reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aLipoprotein A assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	456876	472438	1390
30800	Oestradiol	0	2	0	31	0	0	0	1	0	0	pmol/L	17518	0	2	0	1	0	0	Measured by two step competitive analysis on a Beckman Coulter Unicel Dxl 800	2018-05-17	2019-03-06	77719	78541	0
30801	Oestradiol assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Oestradiol assay was carried out.	2018-06-01	2018-06-06	442807	457623	1410
30802	Oestradiol aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Oestradiol assay.	2018-06-01	2018-06-07	442616	457422	1400
30803	Oestradiol correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Oestradiol assay result.	2018-06-01	2019-03-06	77719	78541	1420
30804	Oestradiol correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Oestradiol assay result.	2018-06-01	2019-03-06	77719	78541	1430
30805	Oestradiol missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Oestradiol assay result is missing.	2018-06-01	2019-03-06	417460	432910	1450
30806	Oestradiol reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aOestradiol assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	439827	454274	1460
30810	Phosphate	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by phophomolybdate complex analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	431546	444924	0
30811	Phosphate assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Phosphate assay was carried out.	2018-06-01	2018-06-06	473939	491261	1480
30812	Phosphate aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Phosphate assay.	2018-06-01	2018-06-07	473730	491040	1470
30813	Phosphate correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Phosphate assay result.	2018-06-01	2019-03-06	431546	444924	1490
30814	Phosphate correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Phosphate assay result.	2018-06-01	2019-03-06	431546	444924	1500
30815	Phosphate missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Phosphate assay result is missing.	2018-06-01	2019-03-06	66052	66527	1520
30816	Phosphate reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aPhosphate assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	431558	444936	1530
30820	Rheumatoid factor	0	2	0	31	0	0	0	1	0	0	IU/ml	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5800	2018-05-17	2018-06-07	41991	43000	0
30821	Rheumatoid factor assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Rheumatoid factor assay was carried out.	2018-06-01	2018-06-06	474062	491416	1550
30822	Rheumatoid factor aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Rheumatoid factor assay.	2018-06-01	2018-06-07	473853	491195	1540
30823	Rheumatoid factor correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Rheumatoid factor assay result.	2018-06-01	2018-06-07	41991	43000	1560
30824	Rheumatoid factor correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Rheumatoid factor assay result.	2018-06-01	2018-06-07	41991	43000	1570
30825	Rheumatoid factor missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Rheumatoid factor assay result is missing.	2018-06-01	2019-03-06	451526	468451	1580
30826	Rheumatoid factor reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aRheumatoid factor assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	470846	487523	1590
30830	SHBG	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by two step sandwich immunoassay analysis on a Beckman Coulter Unicel Dxl 800	2018-05-17	2019-03-06	428197	441327	0
30831	SHBG assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the SHBG assay was carried out.	2018-06-01	2018-06-06	470599	487310	1610
30832	SHBG aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the SHBG assay.	2018-06-01	2018-06-07	470391	487090	1600
30833	SHBG correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the SHBG assay result.	2018-06-01	2019-03-06	428197	441327	1620
30834	SHBG correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the SHBG assay result.	2018-06-01	2019-03-06	428197	441327	1630
30835	SHBG missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a SHBG assay result is missing.	2018-06-01	2019-03-06	69590	70124	1650
30836	SHBG reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aSHBG assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	428925	442082	1660
30840	Total bilirubin	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by photometric colour analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	468910	485362	0
30841	Total bilirubin assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Total bilirubin assay was carried out.	2018-06-01	2018-06-06	474547	491896	1750
30842	Total bilirubin aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Total bilirubin assay.	2018-06-01	2018-06-07	474338	491675	1740
30843	Total bilirubin correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Total bilirubin assay result.	2018-06-01	2019-03-06	468910	485362	1760
30844	Total bilirubin correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Total bilirubin assay result.	2018-06-01	2019-03-06	468910	485362	1770
30845	Total bilirubin missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Total bilirubin assay result is missing.	2018-06-01	2019-03-06	26007	26089	1790
30846	Total bilirubin reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTotal bilirubin assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2018-06-07	468928	485380	1800
30850	Testosterone	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by one step competitive analysis on a Beckman Coulter Unicel Dxl 800	2018-05-17	2019-03-06	427085	441273	0
30851	Testosterone assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Testosterone assay was carried out.	2018-06-01	2018-06-06	470752	487452	1680
30852	Testosterone aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Testosterone assay.	2018-06-01	2018-06-07	470540	487230	1670
30853	Testosterone correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Testosterone assay result.	2018-06-01	2019-03-06	427085	441273	1690
30854	Testosterone correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Testosterone assay result.	2018-06-01	2019-03-06	427085	441273	1700
30855	Testosterone missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Testosterone assay result is missing.	2018-06-01	2019-03-06	69062	70178	1720
30856	Testosterone reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTestosterone assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	467067	483276	1730
30860	Total protein	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by biuret analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	431892	445312	0
30861	Total protein assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Total protein assay was carried out.	2018-06-01	2018-06-06	474388	491736	1820
30862	Total protein aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Total protein assay.	2018-06-01	2018-06-07	474179	491515	1810
30863	Total protein correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Total protein assay result.	2018-06-01	2019-03-06	431892	445312	1830
30864	Total protein correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Total protein assay result.	2018-06-01	2019-03-06	431892	445312	1840
30865	Total protein missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Total protein assay result is missing.	2018-06-01	2019-03-06	65666	66139	1860
30866	Total protein reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTotal protein assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	431909	445329	1870
30870	Triglycerides	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by GPO-POD analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470500	487085	0
30871	Triglycerides assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Triglycerides assay was carried out.	2018-06-01	2018-06-06	474562	491916	1890
30872	Triglycerides aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Triglycerides assay.	2018-06-01	2018-06-07	474353	491695	1880
30873	Triglycerides correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Triglycerides assay result.	2018-06-01	2019-03-06	470500	487085	1900
30874	Triglycerides correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Triglycerides assay result.	2018-06-01	2019-03-06	470500	487085	1910
30875	Triglycerides missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Triglycerides assay result is missing.	2018-06-01	2019-03-06	24291	24366	1930
30876	Triglycerides reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTriglycerides assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	470639	487227	1940
30880	Urate	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by uricase PAP analysis on a Beckman Coulter AU5800	2018-05-17	2019-03-06	470321	486881	0
30881	Urate assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Urate assay was carried out.	2018-06-01	2018-06-06	474397	491730	1960
30882	Urate aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Urate assay.	2018-06-01	2018-06-07	474188	491509	1950
30883	Urate correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Urate assay result.	2018-06-01	2019-03-06	470321	486881	1970
30884	Urate correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Urate assay result.	2018-06-01	2019-03-06	470321	486881	1980
30885	Urate missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Urate assay result is missing.	2018-06-01	2019-03-06	24496	24570	2000
30886	Urate reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aUrate assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	470452	487016	2010
30890	Vitamin D	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by CLIA analysis on a DiaSorin Ltd. LIASON XL	2018-05-17	2018-06-07	449978	465415	0
30891	Vitamin D assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Vitamin D assay was carried out.	2018-06-01	2019-03-01	474592	491952	2100
30892	Vitamin D aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Vitamin D assay.	2018-06-01	2019-03-06	474382	491730	2090
30893	Vitamin D correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Vitamin D assay result.	2018-06-01	2018-06-07	449978	465415	2110
30894	Vitamin D correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Vitamin D assay result.	2018-06-01	2018-06-07	449978	465415	2120
30895	Vitamin D missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Vitamin D assay result is missing.	2018-06-01	2019-03-06	45591	46036	2130
30896	Vitamin D reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aVitamin D assay result. Absence of a value here means that a result has not been attempted.	2018-06-01	2019-03-06	452542	468072	2140
30897	Estimated sample dilution factor	0	2	0	31	0	0	2	2	0	0	factor	18518	0	0	0	1	0	0	Average estimated dilution factor across assays.	2019-02-27	2019-03-07	468511	485062	100
40000	Date of death	0	2	0	51	0	0	0	1	0	0		100093	0	9000001	0	1	0	0	Date of death.<p>Acquired from central registry.	2012-07-17	2019-03-08	20284	20307	110
40001	Underlying (primary) cause of death: ICD10	0	2	0	21	41	0	0	1	0	0		100093	19	9000001	0	1	0	0	Underlying/primary cause of death reported for participant. Note that this may not match the text value in ~F40010~ due to transcription errors at source. <p>Acquired from central registry.	2012-07-17	2019-03-08	20274	20297	130
40002	Contributory (secondary) causes of death: ICD10	0	2	0	21	41	0	0	1	1	0		100093	19	9000001	0	1	0	13	Contributory/secondary causes of death reported for participant. There may be zero, one or many.<p>Acquired from central registry.	2012-07-17	2019-03-08	12554	26885	140
40005	Date of cancer diagnosis	0	2	0	51	0	0	0	1	0	0		100092	0	9000002	0	16	0	0	Date of cancer diagnosis, acquired from central registry. <p>Note that data from the most recent 12-18 months is still accruing (i.e. it is not complete). <p> The events/dates are indexed in the order in which they are received and processed by UK Biobank rather than in their own chronological order.	2012-07-18	2019-03-08	89769	118719	120
40006	Type of cancer: ICD10	0	2	0	21	41	0	0	1	0	0		100092	19	9000002	0	16	0	0	The ICD-10 code for the type of cancer.<p>Acquired from central registry.<p>The ICD-10 tree displayed on this page includes all cancer records for each UK Biobank participant (for which there may be multiple ICD codes). For more information on the first diagnosed cancer in each participant, please refer to ~L100092~.	2012-07-18	2019-03-08	84726	103470	140
40007	Age at death	0	2	0	31	0	0	3	1	0	0		100093	0	9000001	0	2	0	0	Age calculated as interval between Date of Birth and Death.	2012-08-10	2019-03-10	20349	22441	120
40008	Age at cancer diagnosis	0	2	0	31	0	0	3	1	0	0		100092	0	9000002	0	31	0	0	Age calculated as interval between Dates of Birth and Cancer diagnosis.	2012-08-10	2019-03-10	89808	245178	130
40009	Reported occurrences of cancer	0	3	0	11	0	0	3	0	0	0		100092	0	0	0	0	0	0	This is the number of reports of cancer received from UK National registries. Participants who have never been reported as having cancer do not contribute to this field unless a report was received then subsequently withdrawn.	2012-08-13	2019-03-08	89769	89769	110
40010	Description of cause of death	0	2	0	101	0	0	0	0	0	0		100093	0	9000001	0	0	0	0	Underlying/primary cause of death reported for participant - text description. This is the cause of death (entered as free-text) from the Medical Certificate of Cause of Death (MCCD). The data-field reveals the sequence leading to death, underlying cause and contributory causes that led to subsequent death. It is composed of the following sections: <ul> <li>I(a) is free-text description stored in the I(a) section on the death certificate;</li> <li>I(b) is free-text description stored in the I(b) section on the death certificate;</li> <li>I(c) is free-text description stored in the I(c) section on the death certificate;</li> <li>I(d) is free-text description stored in the I(d) section on the death certificate (populated for Scottish deaths only);</li> <li>II is free-text description stored in the II section on the death certificate;</li> <li>Verdict given (where present) - information from post mortem investigation and/or results of investigations initiated ante mortem.</li> </ul> <p> Note that this may not match the coded values in ~F40001~ and ~F40002~ due to transcription errors at source. The content has also been manually cleaned to remove any information which might be used towards identifying the subject.	2012-08-24	2019-03-08	17027	17027	150
40011	Histology of cancer tumour	0	2	0	21	11	0	0	1	0	0		100092	38	9000002	0	16	0	0	This is a numeric code relating to the histology of the tumour, provided by the cancer registry	2013-01-09	2019-03-08	89180	113838	160
40012	Behaviour of cancer tumour	0	2	0	21	11	0	0	1	0	0		100092	39	9000002	0	16	0	0	This is a numeric code relating to the behaviour of the tumour, provided by the cancer registry	2013-01-09	2019-03-08	89272	114013	170
40013	Type of cancer: ICD9	0	2	0	21	41	0	0	1	0	0		100092	87	9000002	0	14	0	0	The ICD9 code for the type of cancer.<p>Acquired from central registry.	2013-01-21	2019-03-08	11222	15241	150
40014	Underlying (primary) cause of death: ICD10 addendum	0	2	0	41	0	0	0	0	0	0		100093	0	0	0	0	0	0	Supplementary flag relating to underlying/primary cause of death reported for participant.<p>Acquired from central registry.	2013-02-05	2000-01-01	-1	-1	130
40015	Contributory (secondary) cause of death: ICD10 addendum	0	2	0	41	0	0	0	0	0	0		100093	0	0	0	0	0	0	Supplementary flag relating to contributory/secondary cause of death reported for participant.<p>Acquired from central registry.	2013-02-05	2000-01-01	-1	-1	140
40016	Type of cancer: ICD10 addendum	0	2	0	41	0	0	0	0	0	0		100092	0	0	0	0	0	0	Supplementary flag relating to the ICD10 code for the type of cancer.<p>Acquired from central registry.	2013-02-05	2000-01-01	-1	-1	140
40017	Type of cancer: ICD9 addendum	0	2	0	41	0	0	0	0	0	0		100092	0	0	0	0	0	0	Supplementary flag relating to the ICD9 code for the type of cancer.<p>Acquired from central registry.	2013-02-05	2000-01-01	-1	-1	160
40018	Death report format	0	3	0	21	11	0	0	1	0	0		100093	261	9000001	0	1	0	0	Indicates the format of the data in which the original death record was supplied to UK Biobank.	2014-03-14	2019-03-08	20284	20307	160
40019	Cancer report format	0	3	0	21	11	0	2	1	0	0		100092	262	9000002	0	16	0	0	Indicates the format of the data in which the original cancer record was supplied to UK Biobank.	2014-03-14	2019-03-08	89811	118826	180
40020	Death record origin	0	2	0	21	41	0	0	2	0	0		100093	1970	0	0	1	0	0	Indicates the origin of the data in which the original death record was supplied to UK Biobank.	2018-03-20	2019-03-08	20284	20307	100
40021	Cancer record origin	0	1	0	21	41	0	0	2	0	0		100092	1970	0	0	16	0	0	Indicates the origin of the data in which the original cancer record was supplied to UK Biobank.	2018-03-20	2019-03-08	89811	118826	100
40022	Inpatient record origin	0	2	0	22	41	0	0	0	1	0		2000	1970	0	0	0	0	2	Indicates the origin of the data in which the original hospital inpatient record was supplied to UK Biobank.	2018-03-20	2019-03-08	413649	418016	100
40425	Volume of DNA held by UKB	0	3	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "DNA" sample, derived from UK Biobank assessment centre visits.	2014-02-17	2014-06-04	171011	171011	0
41066	Episodes containing "Number of weeks of gestation" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Number of weeks of gestation" information. Participants with zero records are not itemised. <p> Number of weeks of gestation is based on the World Health Organisation (WHO) definition, which specifies the time from the last menstrual period up until birth. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41067	Episodes containing "Delivery place" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Delivery place" information. Participants with zero records are not itemised. <p> Delivery place identifies where the birth took place. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16621	16621	500
41068	Episodes containing "Delivery method" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Delivery method" information. Participants with zero records are not itemised. <p> Delivery method identifies the way in which the baby was born. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41069	Episodes containing "Birth order" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Birth order" information. Participants with zero records are not itemised. <p> Birth order identifies the position in a sequence of births. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41070	Episodes containing "Date of birth of baby" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of birth of baby" information. Participants with zero records are not itemised. <p> This is the date when the birth took place. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	11073	11073	500
41071	Episodes containing "Status of baby at birth" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Status of baby at birth" information. Participants with zero records are not itemised. <p> Status of baby identifies whether the baby was born alive or stillborn. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41072	Episodes containing "Resuscitation method" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Resuscitation method" information. Participants with zero records are not itemised. <p> Resuscitation method identifies whether any procedures were required to get the baby breathing normally. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41073	Episodes containing "Sex of baby" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Sex of baby" information. Participants with zero records are not itemised. <p> Sex of baby determines whether the baby was male or female. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	15519	15519	500
41074	Episodes containing "Weight of baby" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Weight of baby" information. Participants with zero records are not itemised. <p> Weight of baby identifies how much the baby weighed immediately after birth. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16604	16604	500
41075	Episodes containing "Status of person conducting delivery" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Status of person conducting delivery" information. Participants with zero records are not itemised. <p> Status of person conducting delivery identifies whether a doctor, GP or midwife was present at the birth. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41076	Episodes containing "Diagnoses - secondary ICD9" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD9" information. Participants with zero records are not itemised. <p> Diagnoses are coded according to the International Classification of Diseases version-9 (ICD9). <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	8711	8711	0
41077	Episodes containing "Diagnoses - secondary ICD9 addendum" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD9 addendum" information. Participants with zero records are not itemised.<p> Addendum are special characters or local codes which have been affixed to the ICD code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2000-01-01	-1	-1	0
41078	Episodes containing "Diagnoses - secondary ICD10" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD10" information. Participants with zero records are not itemised.<p> Diagnoses are coded according to the International Classification of Diseases version-10 (ICD10). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	346202	346202	0
41079	Episodes containing "Diagnoses - secondary ICD10 addendum" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD10 addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the ICD code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	4743	4743	0
41080	Episodes containing "Operative procedures - secondary OPCS4" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedures - secondary OPCS4" information. Participants with zero records are not itemised. <p> Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	367452	367452	160
41081	Episodes containing "Operative procedures - secondary OPCS4 addendum" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative Procedures - secondary OPCS4 addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the OPCS code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2000-01-01	-1	-1	170
41082	Episodes containing "Dates of operations" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Dates of operations" information. Participants with zero records are not itemised. <p> This field corresponds to secondary operations and procedures only. (For main operations, see ~F41148~ - Episodes containing "Date of operation" data.) <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	354025	354025	110
41083	Episodes containing "Episode start date" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode start date" information. Participants with zero records are not itemised. <p> Episode start date identifies when the period of care under a particular consultant commenced. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	409989	409989	500
41084	Episodes containing "Episode end date" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode end date" information. Participants with zero records are not itemised. <p>Episode end date identifies when the period of care under a particular consultant finished. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	409984	409984	500
41085	Episodes containing "Duration of episode" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of episode" information. Participants with zero records are not itemised. <p>Duration of episode identifies the length of time a patient was under the care of particular consultant (i.e. the difference between the episode start and end date). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	413637	413637	500
41086	Episodes containing "Episode order" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode order" information. Participants with zero records are not itemised. <p> Episode order identifies the sequence of Episodes within a hospital Spell. A Spell in hospital should start with episode order 1. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	382514	382514	500
41087	Episodes containing "Episode status" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode status" information. Participants with zero records are not itemised. <p>Episode status identifies whether the episode has finished before the end of the HES data year (31 March) or if the patient is still under a period of care. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366399	366399	500
41088	Episodes containing "Duration of episode within HES data year" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of episode within HES data year" information. Participants with zero records are not itemised. <p> Duration of episode within HES data year identifies the length of time a patient was under the care of particular consultant within one year. For episodes which start and end within one HES data year, the value is the same as episode duration. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366390	366390	500
41089	Episodes containing "Beginning of spell indicator" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Beginning of spell indicator" information. Participants with zero records are not itemised. <p> Beginning of spell indicator identifies whether the episode is the first episode of the spell and if the spell started in the current or previous HES data year. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366391	366391	500
41090	Episodes containing "End of spell indicator" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "End of spell indicator" information. Participants with zero records are not itemised. <p> End of spell indicator identifies whether the episode is the last episode of the spell or not. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366399	366399	500
41091	Episodes containing "Duration of spell" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of spell" information. Participants with zero records are not itemised. <p> Duration of spell identifies the total length of time a patient was in hospital (i.e. the difference between admission and discharge date). <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	382419	382419	500
41092	Episodes containing "Current PCT responsible for patient" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Current PCT responsible for patient" information. Participants with zero records are not itemised. <p> A PCT (Primary Care Trust) is an administrative body responsible for commissioning health services within an area. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	320243	320243	500
41093	Episodes containing "PCT where patients GP was registered" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "PCT where patients GP was registered" information. Participants with zero records are not itemised. <p> A PCT (Primary Care Trust) is an administrative body responsible for commissioning health services within an area. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366399	366399	500
41094	Episodes containing "Administrative and legal status of patient" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Administrative and legal status of patient" information. Participants with zero records are not itemised. <p>Administrative and legal status identifies whether a patient has been formally detained under the Mental Health Act or not. <p><i>This information is not present in HES records dated after 2001.</i> <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	148607	148607	500
41095	Episodes containing "Date of decision to admit to hospital" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of decision to admit to hospital" information. Participants with zero records are not itemised. <p> Date of decision to admit to hospital identifies the point in time when a consultant or other member of clinical staff decided it was necessary to admit the patient. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	361519	361519	500
41096	Episodes containing "Date of admission to hospital" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of admission to hospital" information. Participants with zero records are not itemised. <p> Date of admission to hospital identifies when the spell in hospital commenced. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	402998	402998	500
41097	Episodes containing "Waiting time for hospital admission" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Waiting time for hospital admission" information. Participants with zero records are not itemised. <p> Waiting time for hospital admission is the time taken between the decision was made to admit the patient and their actual admission date. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	356345	356345	500
41098	Episodes containing "Method of admission to hospital" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of admission to hospital" information. Participants with zero records are not itemised. <p> Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C202~, ~C241~, ~C242~ and ~C252~. It is recommended that the re-coded ~F41236~ is used instead of this one.	2013-06-25	2019-03-08	413649	413649	500
41099	Episodes containing "Source of admission to hospital" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Source of admission to hospital" information. Participants with zero records are not itemised. <p> Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C203~, ~C243~, ~C244~ and ~C253~. It is recommended that the re-coded ~F41237~ is used instead of this one.	2013-06-25	2019-03-08	413649	413649	500
41100	Episodes containing "First regular day or night of admission to hosp" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "First regular day or night of admission to hosp" information. Participants with zero records are not itemised. <p> First regular day or night of admission to hospital data identifies whether the episode is the first in a sequence of regular day and night admissions, or whether it is a subsequent episode within such a sequence. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	215348	215348	500
41101	Episodes containing "Date of discharge from hospital" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of discharge from hospital" information. Participants with zero records are not itemised. <p> Date of discharge from hospital identifies when the spell in hospital ended. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	402925	402925	500
41102	Episodes containing "Method of discharge from hospital" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of discharge from hospital" information. Participants with zero records are not itemised. <p> Method of discharge from hospital identifies how a patient was discharged i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C206~, ~C248~, ~C249~ and ~C256~. It is recommended that the re-coded ~F41238~ is used instead of this one.	2013-06-25	2019-03-08	413647	413647	500
41103	Episodes containing "Destination on discharge from hospital" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Destination on discharge from hospital" information. Participants with zero records are not itemised. <p> Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C205~, ~C247~ and ~C255~. It is recommended that the re-coded ~F41248~ is used instead of this one.	2013-06-25	2019-03-08	409995	409995	500
41104	Episodes containing "External cause - ICD10" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "External cause - ICD10" information. Participants with zero records are not itemised. <p> An external cause is an environmental event causing injury, poisoning or other type of adverse effect. External causes are coded according to the International Classification of Diseases version-10 (ICD10). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	77463	77463	0
41105	Episodes containing "External cause - ICD10 addendum" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "External cause - ICD10 addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the ICD code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	177	177	0
41106	Episodes containing "Operation status" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operation status" information. Participants with zero records are not itemised. <p> This field indicates whether an operative procedure was carried out during the episode or not. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	322505	322505	200
41107	Episodes containing "Duration of post-operative stay" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of post-operative stay" information. Participants with zero records are not itemised. <p> This is the time between the operation being carried out and the end date of the episode. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	351824	351824	120
41108	Episodes containing "Duration of pre-operative stay" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of pre-operative stay" information. Participants with zero records are not itemised. <p> This is the time between the episode start date and the date at which the operation was carried out. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	351838	351838	130
41109	Episodes containing "Patient classification on admission" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Patient classification on admission" information. Participants with zero records are not itemised. <p> Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C208~, ~C245~, ~C246~ and ~C254~. It is recommended that the re-coded ~F41240~ is used instead of this one.	2013-06-25	2019-03-08	409996	409996	0
41110	Episodes containing "Intended management of patient" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Intended management of patient" information. Participants with zero records are not itemised. <p> The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C209~ and ~C260~. It is recommended that the re-coded ~F41241~ is used instead of this one.	2013-06-25	2019-03-08	382509	382509	0
41111	Episodes containing "Main speciality of consultant" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Main speciality of consultant" information. Participants with zero records are not itemised. <p> The main speciality of the consultant is specialism under which the consultant is contracted e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C210~ and ~C258~. It is recommended that the re-coded ~F41242~ is used instead of this one.	2013-06-25	2019-03-08	382505	382505	0
41112	Episodes containing "Treatment speciality of consultant" data (polymorphic)	0	2	0	11	0	30	2	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Treatment speciality of consultant" information. Participants with zero records are not itemised. <p> The treatment speciality of the consultant is specialism under which the consultant was working e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C211~, ~C250~, ~C251~ and ~C257~. It is recommended that the re-coded ~F41243~ is used instead of this one.	2013-06-25	2019-03-08	413647	413647	0
41113	Episodes containing "Date of first antenatal assessment" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of first antenatal assessment" information. Participants with zero records are not itemised. <p> Date of first antenatal assessment is the date when the pregnancy was first assessed and arrangements for antenatal care were made. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	10167	10167	500
41114	Episodes containing "Gestation period at first antenatal assessment" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Gestation period at first antenatal assessment" information. Participants with zero records are not itemised. <p> Gestation period at first antenatal assessment is the time from the last menstrual period to the date when the pregnancy was first assessed. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	8152	8152	500
41115	Episodes containing "Antenatal stay" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Antenatal stay" information. Participants with zero records are not itemised. <p> Antenatal stay is the number of days between the start of the maternity episode and the delivery of the first baby. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	11040	11040	500
41116	Episodes containing "Intended delivery place" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Intended delivery place" information. Participants with zero records are not itemised. <p> Intended delivery place identifies where the birth was planned to take place. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41117	Episodes containing "Reason for changing delivery place" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Reason for changing delivery place" information. Participants with zero records are not itemised. <p> Reason for changing delivery place identifies whether a change in where the birth took place was due to clinical or other matters. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41118	Episodes containing "Anaesthetic administered during delivery" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Anaesthetic administered during delivery" information. Participants with zero records are not itemised. <p> This field identifies, for example, whether a general anaesthetic or an epidural was administered either before or during labour. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41119	Episodes containing "Anaesthetic administered post delivery" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Anaesthetic delivered post delivery" information. Participants with zero records are not itemised. <p> This field identifies, for example, whether a general anaesthetic or an epidural was administered after labour. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41120	Episodes containing "Delivery onset method" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Delivery onset method" information. Participants with zero records are not itemised. <p> Delivery onset method identifies whether the onset of labour was spontaneous or clinically induced. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41121	Episodes containing "Number of babies delivered from single pregnancy" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Number of babies delivered from single pregnancy" information. Participants with zero records are not itemised. <p> This is the number of babies delivered from a single pregnancy and includes both live and stillborn babies. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16625	16625	500
41122	Episodes containing "Postnatal stay" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Postnatal stay" information. Participants with zero records are not itemised. <p> Postnatal stay is the number of days between the birth of the baby and the episode end date. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	10980	10980	500
41123	Episodes containing "Level of neonatal care" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Level of neonatal care" information. Participants with zero records are not itemised. <p> Level of neonatal care identifies whether the new born baby was given normal care or required special or intensive care. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	196044	196044	500
41124	Episodes containing "Mother age on date of delivery" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Mother age on date of delivery" information. Participants with zero records are not itemised. <p> This field contains the mothers age on the date of delivery. This is calculated from the mother's date of birth and the birth date of the first baby. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	11071	11071	500
41125	Episodes containing "Number of previous pregnancies" data	0	2	0	11	0	30	0	0	0	2	records	2013	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Number of previous pregnancies" information. Participants with zero records are not itemised. <p> This field contains the number of previous pregnancies, which includes all previous pregnancies which resulted in a registerable birth. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	16623	16623	500
41126	Episodes containing "Carer support indicator" data	1	2	0	11	0	30	0	0	0	0	records	2014	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Carer support indicator" information. Participants with zero records are not itemised. <p> Carer support indicator identifies whether a carer is available to the patient at their usual place of residence. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366399	366399	500
41127	Episodes containing "Detention date" data	1	2	0	11	0	30	0	0	0	0	records	2014	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Detention date" information. Participants with zero records are not itemised. <p> This is the date when the person was first detained in the current continuous period of detention. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	18	18	500
41128	Episodes containing "Detention category" data	1	2	0	11	0	30	0	0	0	0	records	2014	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Detention category" information. Participants with zero records are not itemised. <p> Detention category identifies the legislation under which the person was detained. <p><i> This information is not present in HES records dated after 2001.</i> <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	42609	42609	500
41129	Episodes containing "Mental category of patient" data	1	2	0	11	0	30	0	0	0	0	records	2014	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Mental category of patient" information. Participants with zero records are not itemised. <p> The mental categories are in accordance with the Mental Health Act 1983. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	22	22	500
41130	Episodes containing "History of psychiatric care on admission" data	1	2	0	11	0	30	0	0	0	0	records	2014	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "History of psychiatric care on admission" information. Participants with zero records are not itemised. <p> History of psychiatric care identifies whether a patient has previously had a psychiatric episode in hospital or not. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366398	366398	500
41131	Episodes containing "Legal status of patient" data	1	2	0	11	0	30	0	0	0	0	records	2014	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Legal status of patient" information. Participants with zero records are not itemised. <p> Legal status determines whether the person was formally or informally detained at the date of psychiatric census. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	5	5	500
41132	Episodes containing "Episode type" data	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode type" information. Participants with zero records are not itemised. <p> Episode type identifies whether the period of care in hospital was a general episode or (for example) a psychiatric episode. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	366399	366399	500
41142	Episodes containing "Diagnoses - main ICD10" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD10" information. Participants with zero records are not itemised. <p> Diagnoses are coded according to the International Classification of Diseases version-10 (ICD10). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	410289	410289	0
41143	Episodes containing "Diagnoses - main ICD10 - addendum" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD10 - addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the ICD code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	3297	3297	0
41144	Episodes containing "Diagnoses - main ICD9" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD9" information. Participants with zero records are not itemised. <p> Diagnoses are coded according to the International Classification of Diseases version-9 (ICD9). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	20301	20301	0
41145	Episodes containing "Diagnoses - main ICD9 - addendum" data	0	2	0	11	0	30	0	0	0	0	records	2012	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD9 - addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the ICD code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2000-01-01	-1	-1	0
41146	Episodes containing "Operative procedure - main OPCS4" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedure - main OPCS" information. Participants with zero records are not itemised. <p> Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	410231	410231	140
41147	Episodes containing "Operative procedure - main OPCS4 - addendum" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedure - main OPCS - addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the OPCS code, but do not have a universal definition. They have been preserved to reflect the true state of the data. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2000-01-01	-1	-1	150
41148	Episodes containing "Date of operation" data	0	2	0	11	0	30	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of operation" information. Participants with zero records are not itemised. <p> This date corresponds to the main operation only. (For secondary operations and procedures, see ~F41082~ - Episodes containing "Dates of operations" data.) <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25	2019-03-08	397491	397491	100
41200	Operative procedures - main OPCS4	0	3	0	22	41	0	0	0	1	0		2025	240	0	0	0	0	48	This field is a summary of the main operation and procedure codes a participant has had recorded across all their episodes in hospital. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p>The corresponding date when each main procedure code was first recorded across all episodes in hospital is provided in ~F41260~ and the two data-fields can be linked using the array structure. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41146~) data.	2013-06-25	2019-03-08	410231	1655338	140
41201	External causes	0	3	0	22	41	0	0	0	1	0		2022	19	0	0	0	0	21	This field is a summary of the distinct external cause codes a participant has had recorded across all their episodes in hospital. An external cause is an environmental event causing injury, poisoning or other type of adverse effect. External causes are coded according to the International Classification of Diseases version-10 (ICD10). <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41104~) data.	2013-06-25	2019-03-08	77463	102787	200
41202	Diagnoses - main ICD10	0	3	0	22	41	0	0	0	1	0		2022	19	0	0	0	0	65	This field is a summary of the distinct main diagnoses codes a participant has had recorded across all their episodes in hospital. Diagnoses are coded according to the International Classification of Diseases version-10 (ICD10). <p>The corresponding dates when these diagnosis codes were first recorded in the inpatient data as the main diagnosis can be found in data-field ~F41262~. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41142~) data.	2013-06-25	2019-03-08	410289	1725736	140
41203	Diagnoses - main ICD9	0	3	0	22	41	0	0	0	1	0		2022	87	0	0	0	0	27	This field is a summary of the distinct main diagnoses codes a participant has had recorded across all their episodes in hospital. Diagnoses are coded according to the International Classification of Diseases version-9 (ICD9). <p>The corresponding dates when these diagnosis codes were first recorded in the inpatient data as the main diagnosis can be found in ~F41263~. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41144~) data.	2013-06-25	2019-03-08	20301	42814	160
41204	Diagnoses - secondary ICD10	0	3	0	22	41	0	0	0	1	0		2022	19	0	0	0	0	183	This field is a summary of the distinct secondary diagnoses codes a participant has had recorded across all their episodes in hospital. Diagnoses are coded according to the International Classification of Diseases version-10 (ICD10). <p>If you are interested in ICD10 diagnoses recorded as either a primary or secondary diagnosis, please see ~F41270~, and its corresponding date ~F41280~. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41078~) data.	2013-06-25	2019-03-08	346202	2611754	180
41205	Diagnoses - secondary ICD9	0	3	0	22	41	0	0	0	1	0		2022	87	0	0	0	0	29	This field is a summary of the distinct secondary diagnoses codes a participant has had recorded across all their episodes in hospital. Diagnoses are coded according to the International Classification of Diseases version-9 (ICD9). <p>This field has no corresponding date field. If you are interested in ICD9 diagnoses recorded as either a primary or secondary diagnosis, please see ~F41271~, and its corresponding date data-field ~F41281~. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41076~) data.	2013-06-25	2019-03-08	8711	17283	190
41206	Intended management of patient (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	6	This field is a summary of the distinct intended management codes a participant has had recorded across all their episodes in hospital. The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41110~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C209~, ~C260~ and ~C271~. It is recommended that the re-coded ~F41244~ is used instead of this one.	2013-06-27	2019-03-08	382509	738467	0
41207	Main speciality of consultant (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	18	This field is a summary of the distinct consultant speciality codes a participant has had recorded across all their episodes in hospital. The main speciality of the consultant is specialism under which the consultant is contracted, e.g. cardiology or geriatric medicine, etc. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41111~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C210~ and ~C258~. It is recommended that the re-coded ~F41245~ is used instead of this one.	2013-06-27	2019-03-08	382505	1096286	0
41208	Treatment speciality of consultant (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	21	This field is a summary of the distinct treatment speciality codes a participant has had recorded across all their episodes in hospital. The treatment speciality of the consultant is specialism under which the consultant was working, e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41112~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C211~, ~C250~, ~C251~ and ~C257~. It is recommended that the re-coded ~F41246~ is used instead of this one.	2013-06-27	2019-03-08	413647	1227772	0
41209	Patient classification on admission (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	6	This field is a summary of the distinct patient classification codes a participant has had recorded across all their episodes in hospital. Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41109~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C208~, ~C245~, ~C246~ and ~C254~. It is recommended that the re-coded ~F41247~ is used instead of this one.	2013-06-27	2019-03-08	409996	666477	0
41210	Operative procedures - secondary OPCS4	0	3	0	22	41	0	0	0	1	0		2025	240	0	0	0	0	85	This field is a summary of the secondary operation and procedure codes a participant has had recorded across all their episodes in hospital. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p>This field has no corresponding date field. If you are interested in operation and procedure codes (OPCS-4) recorded as either a main or secondary procedure please see ~F41272~, and its corresponding date ~F41282~. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41080~) data.	2013-06-27	2019-03-08	367452	2040649	160
41211	Destinations on discharge from hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	11	This field is a summary of the distinct destination on discharge codes a participant has had recorded across all their episodes in hospital. Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41103~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C205~, ~C247~ and ~C255~. It is recommended that the re-coded ~F41248~ is used instead of this one.	2013-06-27	2019-03-08	409995	540119	0
41212	Methods of admission to hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	14	This field is a summary of the distinct method of admission codes a participant has had recorded across all their episodes in hospital. Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41098~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C202~, ~C241~, ~C242~ and ~C252~. It is recommended that the re-coded ~F41249~ is used instead of this one.	2013-06-27	2019-03-08	413649	1003488	0
41213	Methods of discharge from hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	9	This field is a summary of the distinct method of discharge codes a participant has had recorded across all their episodes in hospital. Method of discharge from hospital identifies how a patient was discharged - i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41102~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C206~, ~C248~, ~C249~ and ~C256~. It is recommended that the re-coded ~F41250~ is used instead of this one.	2013-06-27	2019-03-08	413647	534984	0
41214	Carer support indicators	0	3	0	22	11	0	0	0	1	0		2024	227	0	0	0	0	2	This field is a summary of the distinct carer support indicator codes a participant has had recorded across all their episodes in hospital. Carer support indicator identifies whether a carer is available to the patient at their usual place of residence. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41126~) data.	2013-06-27	2019-03-08	366399	464158	0
41215	Detention categories	0	3	0	22	11	0	0	0	1	0		2024	230	0	0	0	0	1	This field is a summary of the distinct detention category codes a participant has had recorded across all their episodes in hospital. Detention category identifies the legislation under which the person was detained. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41128~) data-field.	2013-06-27	2019-03-08	42609	43105	0
41216	Legal statuses	0	3	0	22	11	0	0	0	1	0		2024	231	0	0	0	0	1	This field is a summary of the distinct legal status codes a participant has had recorded across all their episodes in hospital. Legal status determines whether the patient was formally or informally detained at the date of psychiatric census. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41131~) data.	2013-06-27	2014-06-25	5	6	0
41217	Mental categories	0	3	0	22	11	0	0	0	1	0		2024	228	0	0	0	0	1	This field is a summary of the distinct mental category codes a participant has had recorded across all their episodes in hospital. The mental categories are in accordance with the Mental Health Act 1983. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41129~) data.	2013-06-27	2019-03-08	22	23	0
41218	History of psychiatric care on admission	0	3	0	22	11	0	0	0	1	0		2024	229	0	0	0	0	4	This field is a summary of the distinct history of psychiatric care codes a participant has had recorded across all their episodes in hospital. History of psychiatric care identifies whether a patient has previously had a psychiatric episode in hospital or not. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41130~) data.	2013-06-27	2019-03-08	366398	416564	0
41219	Anaesthetics administered during delivery	0	3	0	22	11	0	0	0	1	0		2023	212	0	0	0	0	3	This field is a summary of the distinct anaesthetics during delivery codes a participant has had recorded across all their episodes in hospital. This field identifies, for example, whether a general anaesthetic or an epidural was administered either before or during labour. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41118~) data.	2013-06-28	2019-03-08	16628	21597	0
41220	Anaesthetics administered post delivery	0	3	0	22	11	0	0	0	1	0		2023	212	0	0	0	0	3	This field is a summary of the distinct anaesthetics post delivery codes a participant has had recorded across all their episodes in hospital. This field identifies, for example, whether a general anaesthetic or an epidural was administered after labour or not. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41119~) data.	2013-06-28	2019-03-08	16628	20411	0
41221	Delivery methods	0	3	0	22	41	0	0	0	1	0		2023	216	0	0	0	0	4	This field is a summary of the distinct delivery method codes a participant has had recorded across all their episodes in hospital. Delivery method identifies the way in which the baby was born. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41068~) data.	2013-06-28	2019-03-08	16628	22594	0
41222	Delivery onset methods	0	3	0	22	11	0	0	0	1	0		2023	220	0	0	0	0	4	This field is a summary of the distinct delivery onset method codes a participant has had recorded across all their episodes in hospital. Delivery onset method identifies whether the onset of labour was spontaneous or clinically induced. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41120~) data.	2013-06-28	2019-03-08	16628	21735	0
41223	Delivery places	0	3	0	22	11	0	0	0	1	0		2023	217	0	0	0	0	3	This field is a summary of the distinct delivery place codes a participant has had recorded across all their episodes in hospital. Delivery place identifies where the birth took place. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41067~) data.	2013-06-28	2019-03-08	16624	21028	0
41224	Intended delivery places	0	3	0	22	11	0	0	0	1	0		2023	217	0	0	0	0	3	This field is a summary of the distinct intended delivery place codes a participant has had recorded across all their episodes in hospital. Intended delivery place identifies where the birth was planned to take place. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41116~) data.	2013-06-28	2019-03-08	16628	20793	0
41225	Resuscitation methods	0	3	0	22	11	0	0	0	1	0		2023	223	0	0	0	0	4	This field is a summary of the distinct resuscitation method codes a participant has had recorded across all their episodes in hospital. Resuscitation method identifies whether any procedures were required to get the newborn baby breathing normally. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41072~) data.	2013-06-28	2019-03-08	16628	21363	0
41226	Sex of baby	0	3	0	22	11	0	0	0	1	0		2023	224	0	0	0	0	2	This field is a summary of the distinct sex of baby codes a participant has had recorded across all their episodes in hospital. Sex of baby indicates whether the baby was male or female. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41073~) data.	2013-06-28	2019-03-08	15522	18679	0
41227	Status of baby at birth	0	3	0	22	11	0	0	0	1	0		2023	219	0	0	0	0	2	This field is a summary of the distinct status of baby at birth codes a participant has had recorded across all their episodes in hospital. Status baby identifies whether the baby was born alive or stillborn. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41071~) data.	2013-06-28	2019-03-08	16628	20605	0
41228	Statuses of person conducting delivery	0	3	0	22	11	0	0	0	1	0		2023	225	0	0	0	0	3	This field is a summary of the distinct status of person conducting delivery codes a participant has had recorded across all their episodes in hospital. Status of person conducting delivery identifies whether a doctor, GP or midwife was present at the birth. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41075~) data.	2013-06-28	2019-03-08	16628	21384	0
41229	PCT responsible for patient data	0	3	0	22	41	0	0	0	1	0		2021	239	0	0	0	0	5	This field is a summary of the distinct "Current PCT responsible for patient" codes a participant has had recorded across all their episodes in hospital. The PCT code identifies the administrative body with whom the patient is registered. In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41092~) data	2013-06-28	2019-03-08	320243	337728	0
41230	PCT where patients GP was registered	0	3	0	22	41	0	0	0	1	0		2021	239	0	0	0	0	7	This field is a summary of the distinct Primary Care Trust (PCT) of GP practice codes a participant has had recorded across all their episodes in hospital. The PCT code identifies the administrative body where the patient's GP practice is registered. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41093~) data.	2013-06-28	2019-03-08	366399	521980	0
41231	Hospital episode type	0	3	0	22	11	0	0	0	1	0		2021	238	0	0	0	0	2	This field is a summary of the distinct episode type codes a participant has had recorded across all their episodes in hospital. Hospital episode type identifies whether the period of care in hospital was a general episode or a psychiatric episode, for example. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41132~) data.	2013-06-28	2019-03-08	366399	379146	0
41232	Administrative and legal statuses	0	3	0	22	11	0	0	0	1	0		2021	201	0	0	0	0	3	This field is a summary of the distinct administrative and legal status codes a participant has had recorded across all their episodes in hospital. Administrative and legal status identifies whether a patient has been formally detained under the Mental Health Act or not. This information is not present in HES records dated after 2001. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41094~) data.	2013-06-28	2019-03-08	148607	153099	0
41233	Sources of admission to hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2021	0	0	0	0	0	14	This field is a summary of the distinct source of admission codes a participant has had recorded across all their episodes in hospital. Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41099~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C203~, ~C243~, ~C244~ and ~C253~. It is recommended that the re-coded ~F41251~ is used instead of this one.	2013-06-28	2019-03-08	413649	493801	0
41235	Spells in hospital	0	3	0	11	0	0	3	0	0	0	Spells	2021	0	0	0	0	0	0	This field holds the total number of known spells a participant has had in hospital, as derived from all of their available hospital Episode records. As the data does not always permit Episodes to be unambiguously amalgamated into Spells, the figures are approximate.	2013-07-25	2014-07-02	330467	330467	0
41236	Episodes containing "Method of admission to hospital" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of admission to hospital" information. Participants with zero records are not itemised. <p> Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41098~).	2013-06-25	2019-03-08	413649	413649	500
41237	Episodes containing "Source of admission to hospital" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Source of admission to hospital" information. Participants with zero records are not itemised. <p> Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41099~).	2013-06-25	2019-03-08	413649	413649	500
41238	Episodes containing "Method of discharge from hospital" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of discharge from hospital" information. Participants with zero records are not itemised. <p> Method of discharge from hospital identifies how a patient was discharged i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41102~).	2013-06-25	2019-03-08	413647	413647	500
41239	Episodes containing "Destination on discharge from hospital" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Destination on discharge from hospital" information. Participants with zero records are not itemised. <p> Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41103~).	2013-06-25	2019-03-08	409995	409995	500
41240	Episodes containing "Patient classification on admission" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Patient classification on admission" information. Participants with zero records are not itemised. <p> Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41109~).	2013-06-25	2019-03-08	409996	409996	0
41241	Episodes containing "Intended management of patient" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Intended management of patient" information. Participants with zero records are not itemised. <p> The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41110~).	2013-06-25	2019-03-08	382509	382509	0
41242	Episodes containing "Main speciality of consultant" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Main speciality of consultant" information. Participants with zero records are not itemised. <p> The main speciality of the consultant is specialism under which the consultant is contracted e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41111~).	2013-06-25	2019-03-08	382505	382505	0
41243	Episodes containing "Treatment speciality of consultant" data (recoded)	0	2	0	11	0	30	0	0	0	0	records	2011	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Treatment speciality of consultant" information. Participants with zero records are not itemised. <p> The treatment speciality of the consultant is specialism under which the consultant was working e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41112~).	2013-06-25	2019-03-08	413647	413647	0
41244	Intended management of patient (recoded)	0	3	0	22	11	0	0	0	1	0		2021	271	0	0	0	0	6	This field is a summary of the distinct intended management codes a participant has had recorded across all their episodes in hospital. The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41110~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-27	2019-03-08	382509	738467	0
41245	Main speciality of consultant (recoded)	0	3	0	22	11	0	0	0	1	0		2021	270	0	0	0	0	18	This field is a summary of the distinct consultant speciality codes a participant has had recorded across all their episodes in hospital. The main speciality of the consultant is specialism under which the consultant is contracted, e.g. cardiology or geriatric medicine, etc. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41111~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-27	2019-03-08	382505	1096286	0
41246	Treatment speciality of consultant (recoded)	0	3	0	22	11	0	0	0	1	0		2021	269	0	0	0	0	21	This field is a summary of the distinct treatment speciality codes a participant has had recorded across all their episodes in hospital. The treatment speciality of the consultant is specialism under which the consultant was working, e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41112~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-27	2019-03-08	413647	1214039	0
41247	Patient classification on admission (recoded)	0	3	0	22	11	0	0	0	1	0		2021	266	0	0	0	0	6	This field is a summary of the distinct patient classification codes a participant has had recorded across all their episodes in hospital. Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41109~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-27	2019-03-08	409996	666733	0
41248	Destinations on discharge from hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2021	267	0	0	0	0	9	This field is a summary of the distinct destination on discharge codes a participant has had recorded across all their episodes in hospital. Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41103~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-27	2019-03-08	409995	538612	0
41249	Methods of admission to hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2021	264	0	0	0	0	11	This field is a summary of the distinct method of admission codes a participant has had recorded across all their episodes in hospital. Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41098~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-27	2019-03-08	413649	999163	0
41250	Methods of discharge from hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2021	268	0	0	0	0	5	This field is a summary of the distinct method of discharge codes a participant has had recorded across all their episodes in hospital. Method of discharge from hospital identifies how a patient was discharged - i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41102~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-27	2019-03-08	413647	525874	0
41251	Sources of admission to hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2021	265	0	0	0	0	10	This field is a summary of the distinct source of admission codes a participant has had recorded across all their episodes in hospital. Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p>In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41099~) data. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts.	2013-06-28	2019-03-08	413649	476050	0
41252	Episodes containing "Inpatient record format" data	0	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	All Health Episode Statistics (HES) records contain this field - it is presented here simply to allow researchers to select the underlying data for analysis. In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2014-03-24	2019-03-08	413649	413649	130
41253	Inpatient record format	0	2	0	22	11	0	2	0	1	0		2000	263	0	0	0	0	4	This field shows, for each participant, the formats of the data in which the original HES record were supplied to UK Biobank.	2014-03-24	2019-03-08	413649	726612	120
41254	Episodes containing "Inpatient record origin"	0	2	0	11	0	0	0	0	0	0		2000	0	0	0	0	0	0	All Health Episode Statistics (HES) records contain this field - it is presented here simply to allow researchers to select the underlying data for analysis. In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2018-03-20	2019-03-08	413649	413649	110
41255	Episodes containing "Operative procedure - main OPCS3" data	0	3	0	11	0	0	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedure - main OPCS3" information. Participants with zero records are not itemised. <p> Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2019-01-15	2019-03-08	10698	10698	180
41256	Operative procedures - main OPCS3	0	3	0	22	41	0	0	0	1	0		2025	259	0	0	0	0	12	This field is a summary of the main operation and procedure codes a participant has had recorded across all their episodes in hospital. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41255~) data.	2019-01-15	2019-03-08	10698	15445	170
41257	Date of first operative procedure - main OPCS3	0	3	0	51	0	0	0	0	1	0		2025	0	0	0	0	0	12	This field provides for each participant the dates when the main procedures mentioned in ~F41256~ were first recorded across all their episodes in hospital. The date when each procedure code (in either the main or a secondary position) was first recorded in the inpatient data can be linked to the corresponding data-field containing the (distinct) procedure codes by using the array structure. <p>Please note that this data-field is populated with the episode start date (~F41083~) or if that was missing the admission start date (~F41096~), rather than the operation date (~F41148~). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding operation date (~F41148~); <li>some recorded operation dates appeared inconsistent with the episode start/admission date and/or discharge date (most likely due to data entry errors); <li>for those episodes with operation dates recorded the majority occurred on the episode start date, with around 99% of operations within 7 days of the episode start date; <li>episode start date/admission date are more complete and thus may provide greater consistency across data providers. </ul> <p> For more precise information about when a procedure was first recorded in the inpatient data, or data about later procedure dates (e.g. if a procedure was repeated) please select the relevant episode level data-fields from ~L2015~. In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41255~) data.	2019-01-15	2019-03-08	10698	15445	180
41258	Operative procedures - secondary OPCS3	0	3	0	22	41	0	0	0	1	0		2025	259	0	0	0	0	4	This field is a summary of the secondary operation and procedure codes a participant has had recorded across all their episodes in hospital. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41274~) data.	2019-01-15	2019-03-08	2970	3355	190
41260	Date of first operative procedure - main OPCS4	0	3	0	51	0	0	0	0	1	0		2025	0	0	0	0	0	48	This field provides for each participant the dates when the main procedures mentioned in data-field 41200 were first recorded across all their episodes in hospital. The date when each procedure code (in either the main or a secondary position) was first recorded in the inpatient data can be linked to the corresponding data-field containing the (distinct) procedure codes by using the array structure. <p> Please note that this data-field is populated with the episode start date (~F41083~; epistart in the hesin table) or if that was missing the admission start date (~F41096~; admidate in the hesin table), rather than the operation date (~F41148~; opdate in hesin and hesin_oper tables). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding operation date (~F41148~, opdate in hesin table);</li> <li> some recorded operation dates appeared inconsistent with the episode start/admission date and/or discharge date (most likely due to data entry errors);</li> <li> for those episodes with operation dates recorded the majority occurred on the episode start date, with around 99% of operations within 7 days of the episode start date;</li> <li> episode start date/admission date are more complete and thus may provide greater consistency across data providers. </li> </ul> For more precise information about when a procedure was first recorded in the inpatient data, or data about later procedure dates (e.g. if a procedure was repeated) please select the relevant episode level data-fields from ~L2015~. In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41146~) data.	2019-01-04	2019-03-08	410222	1655318	150
41262	Date of first in-patient diagnosis - main ICD10	0	1	0	51	0	0	0	0	1	0		2022	0	0	0	0	0	65	This field provides for each participant the date each ICD 10 diagnosis code was first recorded as a primary diagnosis across all their episodes in hospital. The date provided in this field is the episode start date (~F41083~; epistart in the hesin table), or if this was missing the admission date (~F41096~; admidate in the hesin table). The corresponding primary ICD10 diagnosis codes can be found in ~F41202~ and they can be linked using the array structure.	2019-01-02	2019-03-08	410289	1725736	150
41263	Date of first in-patient diagnosis - main ICD9	0	3	0	51	0	0	0	0	1	0		2022	0	0	0	0	0	27	This field provides for each participant the date each ICD 9 diagnosis code was first recorded as a primary diagnosis across all their episodes in hospital. The date provided in this field is the episode start date (~F41083~; epistart in the hesin table), or if this was missing the admission date (~F41096~; admidate in the hesin table). The corresponding primary ICD9 diagnosis codes can be found in ~F41203~ and they can be linked using the array structure. <p> Please note ICD9 coded hospital data are only available for older Scottish hospital records.	2019-01-02	2019-03-08	20301	42814	170
41270	Diagnoses - ICD10	0	3	0	22	41	0	0	0	1	0		2022	19	0	0	0	0	212	This field is a summary of the distinct diagnosis codes a participant has had recorded across all their episodes in hospital. Diagnoses are coded according to the International Classification of Disease version 10 (ICD10). <p> The corresponding date each diagnosis was first recorded across all their episodes in hospital is given in ~F41280~.	2019-01-02	2019-03-08	410293	4129721	100
41271	Diagnoses - ICD9	0	3	0	22	41	0	0	0	1	0		2022	87	0	0	0	0	46	This field is a summary of the distinct diagnosis codes a participant has had recorded across all their episodes in hospital. Diagnoses are coded according to the International Classification of Disease version 9 (ICD9). The corresponding date each diagnosis was first recorded across all their episodes in hospital is given in data-field ~F41281~. <p> Please note ICD9 coded hospital data are only available for older Scottish hospital records.	2019-01-02	2019-03-08	20301	58679	120
41272	Operative procedures - OPCS4	0	3	0	22	41	0	0	0	1	0		2025	240	0	0	0	0	116	This field is a summary of the operation and procedure codes a participant has had recorded across all their episodes in hospital. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). The corresponding date when each procedure was first recorded in the in the inpatient data can be found ~F41282~. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41146~ and ~F41080~) data.	2019-01-02	2019-03-08	410231	3639180	100
41273	Operative procedures - OPCS3	0	3	0	22	41	0	0	0	1	0		2025	259	0	0	0	0	15	This field is a summary of the operation and procedure codes a participant has had recorded across all their episodes in hospital. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). OPCS-3 coded data are only available from older Scottish hospital records. The corresponding date when each procedure was first recorded in the in the inpatient data can be found data-field ~F41283~. <p> In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41255~ and ~F41274~) data.	2019-01-02	2019-03-08	10698	18573	120
41274	Episodes containing "Operative procedures - secondary OPCS3" data	0	3	0	11	0	0	0	0	0	0	records	2015	0	0	0	0	0	0	This field indicates for each participant the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedures - secondary OPCS 3" information. Participants with zero records are not itemised. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2019-01-02	2019-03-08	2970	2970	190
41280	Date of first in-patient diagnosis - ICD10	0	3	0	51	0	0	0	0	1	0		2022	0	0	0	0	0	212	This field provides for each participant the date each ICD10 diagnosis code was first recorded in any position (e.g. as the primary diagnosis or a secondary diagnosis) across all their episodes in hospital. The date provided in this field is the episode start date (~F41083~; epistart in the hesin table), or if this was missing the admission date (~F41096~; admidate in the hesin table). The corresponding ICD10 diagnosis codes can be found in data-field ~F41270~ and they can be linked using the array structure.	2019-01-02	2019-03-08	410293	4129721	110
41281	Date of first in-patient diagnosis - ICD9	0	3	0	51	0	0	0	0	1	0		2022	0	0	0	0	0	46	This field provides for each participant the date each ICD 9 diagnosis code was first recorded as a primary diagnosis across all their episodes in hospital. The date provided in this field is the episode start date (~F41083~; epistart in the hesin table), or if this was missing the admission date (~F41096~; admidate in the hesin table). The corresponding primary ICD9 diagnosis codes can be found in data-field ~F41203~ and they can be linked using the array structure. <p> Please note ICD9 coded hospital data are only available for older Scottish hospital records.	2019-01-02	2019-03-08	20301	58679	130
41282	Date of first operative procedure - OPCS4	0	3	0	51	0	0	0	0	1	0		2025	0	0	0	0	0	116	This field provides for each participant the dates when the procedures mentioned in data-field ~F41272~ were first recorded across all their episodes in hospital. The date when each procedure code (in either the main or a secondary position) was first recorded in the inpatient data can be linked to the corresponding data-field containing the (distinct) procedure codes by using the array structure. <p> Please note that we have opted to populate this data-field with the episode start date (~F41083~; epistart in the hesin table) or if that was missing the admission start date (data-field 41096; admidate in the hesin table), rather than use the operation date (~F41148~, opdate in hesin and hesin_oper tables). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding operation date (data-field 41148, opdate in hesin table); </li><li> some recorded operation dates appeared inconsistent with the episode start/admission date and/or discharge date (most likely due to data entry errors);</li><li> for those episodes with operation dates recorded the majority occurred on the episode start date, with around 99% of operations within 7 days of the episode start date;</li><li> episode start date/admission date are more complete and thus may provide greater consistency across data providers. </li></ul> For more precise information about when a procedure was first recorded in the inpatient data, or data about later procedure dates (e.g. if a procedure was repeated) please select the relevant episode level data-fields from Category 2015. In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41146~ and ~F41080~) data.	2019-01-02	2019-03-08	410222	3639160	110
41283	Date of first operative procedure - OPCS3	0	3	0	51	0	0	0	0	1	0		2025	0	0	0	0	0	15	This field provides the dates when the procedures (OPCS-3) mentioned in data-field ~F41273~ were first recorded across all their episodes in hospital. The date when each OPCS-3 procedure code (in either the main or a secondary position) was first recorded in the inpatient data can be linked to the corresponding ~F41273~ containing the (distinct) procedure codes by using the array structure. <p> Note that this data-field is populated with the episode start date (~F41083~; epistart in the hesin table) or if that was missing the admission start date (~F41096~; admidate in the hesin table), rather than the operation date (~F41148~, opdate in hesin and hesin_oper tables). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding operation date (~F41148~, opdate in hesin table); </li> <li> some recorded operation dates appeared inconsistent with the episode start/admission date and/or discharge date (most likely due to data entry errors);</li> <li> for those episodes with operation dates recorded the majority occurred on the episode start date, with around 99% of operations within 7 days of the episode start date;</li> <li> episode start date/admission date are more complete and thus may provide greater consistency across data providers </li> </ul> For more precise information about when a procedure was first recorded in the inpatient data, or data about later procedure dates (e.g. if a procedure was repeated) please select the relevant episode level data-fields from ~L2015~. In order to conduct analyses using the source information, researchers must select the corresponding Spell and Episode (~F41255~ and ~F41274~) data.	2019-01-02	2019-03-08	10698	18573	130
42000	Date of myocardial infarction	0	3	0	51	0	0	3	0	0	0		44	272	0	0	0	0	0	Date of the earliest reported myocardial infarction for a participant. The source of this report is given in ~F42001~.	2016-11-30	2019-03-08	20828	20828	100
42001	Source of myocardial infarction report	0	3	0	21	11	0	3	0	0	0		44	300	0	0	0	0	0	Source of the earliest report of myocardial infarction. The date of this report is given in ~F42000~.	2016-11-30	2019-03-08	20828	20828	110
42002	Date of STEMI	0	3	0	51	0	0	3	0	0	0		44	272	0	0	0	0	0	Date of the earliest reported ST-Elevation Miocardial Infarction for a participant. The source of this report is given in ~F42003~.	2016-11-30	2019-03-08	5720	5720	120
42003	Source of STEMI report	0	3	0	21	11	0	3	0	0	0		44	300	0	0	0	0	0	Source of the earliest report of ST-Elevation Miocardial Infarction. The date of this report is given in ~F42002~.	2016-11-30	2019-03-08	5720	5720	130
42004	Date of NSTEMI	0	3	0	51	0	0	3	0	0	0		44	272	0	0	0	0	0	Date of the earliest reported Non-ST-Elevation Miocardial Infarction for a participant. The source of this report is given in ~F42005~.	2016-11-30	2019-03-08	7096	7096	140
42005	Source of NSTEMI report	0	3	0	21	11	0	3	0	0	0		44	300	0	0	0	0	0	Source of the earliest report of Non-ST-Elevation Miocardial Infarction. The date of this report is given in ~F42004~.	2016-11-30	2019-03-08	7096	7096	150
42006	Date of stroke	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported stroke for a participant. The source of this report is given in ~F42007~.	2016-11-30	2019-03-08	13136	13136	100
42007	Source of stroke report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of stroke. The date of this report is given in ~F42006~.	2016-11-30	2019-03-08	13136	13136	110
42008	Date of ischaemic stroke	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported ischaemic stroke for a participant. The source of this report is given in ~F42009~.	2016-11-30	2019-03-08	6090	6090	120
42009	Source of ischaemic stroke report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of ischaemic stroke. The date of this report is given in ~F42008~.	2016-11-30	2019-03-08	6090	6090	130
42010	Date of intracerebral haemorrhage	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported intracerebral haemorrhage for a participant. The source of this report is given in ~F42011~.	2016-11-30	2019-03-08	1341	1341	140
42011	Source of intracerebral haemorrhage report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of intracerebral haemorrhage. The date of this report is given in ~F42010~.	2016-11-30	2019-03-08	1341	1341	150
42012	Date of subarachnoid haemorrhage	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported subarachnoid haemorrhage for a participant. The source of this report is given in ~F42013~.	2016-11-30	2019-03-08	1442	1442	160
42013	Source of subarachnoid haemorrhage report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of subarachnoid haemorrhage. The date of this report is given in ~F42012~.	2016-11-30	2019-03-08	1442	1442	170
42014	Date of asthma report	0	3	0	51	0	0	3	0	0	0		45	272	0	0	0	0	0	Date of asthma report	2018-04-30	2019-03-08	66922	66922	100
42015	Source of asthma report	0	3	0	21	11	0	3	0	0	0		45	300	0	0	0	0	0	Source of asthma report	2018-04-30	2019-03-08	66922	66922	110
42016	Date of chronic obstructive pulmonary disease report	0	3	0	51	0	0	3	0	0	0		46	272	0	0	0	0	0	Date of chronic obstructive pulmonary disease report	2018-04-30	2019-03-08	19025	19025	100
42017	Source of chronic obstructive pulmonary disease report	0	3	0	21	11	0	3	0	0	0		46	300	0	0	0	0	0	Source of chronic obstructive pulmonary disease report	2018-04-30	2019-03-08	19025	19025	110
42018	Date of all cause dementia report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of all cause dementia report	2018-04-30	2019-03-08	2732	2732	100
42019	Source of all cause dementia report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of all cause dementia report	2018-04-30	2019-03-08	2732	2732	110
42020	Date of alzheimer's disease report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of alzheimer's disease report	2018-04-30	2019-03-08	1005	1005	120
42021	Source of alzheimer's disease report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of alzheimer's disease report	2018-04-30	2019-03-08	1005	1005	130
42022	Date of vascular dementia report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of vascular dementia report	2018-04-30	2019-03-08	541	541	140
42023	Source of vascular dementia report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of vascular dementia report	2018-04-30	2019-03-08	541	541	150
42024	Date of frontotemporal dementia report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of frontotemporal dementia report	2018-04-30	2019-03-08	113	113	160
42025	Source of frontotemporal dementia report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of frontotemporal dementia report	2018-04-30	2019-03-08	113	113	170
42026	Date of end stage renal disease report	0	3	0	51	0	0	3	0	0	0		48	272	0	0	0	0	0	Date of end stage renal disease report	2018-04-30	2019-03-08	1191	1191	100
42027	Source of end stage renal disease report	0	3	0	21	11	0	3	0	0	0		48	300	0	0	0	0	0	Source of end stage renal disease report	2018-04-30	2019-03-08	1191	1191	110
42028	Date of motor neurone disease report	0	3	0	51	0	0	3	0	0	0		49	272	0	0	0	0	0	Date of motor neurone disease report	2018-04-30	2019-03-08	423	423	100
42029	Source of motor neurone disease report	0	3	0	21	11	0	3	0	0	0		49	300	0	0	0	0	0	Source of motor neurone disease report	2018-04-30	2019-03-08	423	423	110
42030	Date of all cause parkinsonism report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of all cause parkinsonism report	2018-04-30	2019-03-08	2268	2268	100
42031	Source of all cause parkinsonism report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of all cause parkinsonism report	2018-04-30	2019-03-08	2268	2268	110
42032	Date of parkinson's disease report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of parkinson's disease report	2018-04-30	2019-03-08	2087	2087	120
42033	Source of parkinson's disease report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of parkinson's disease report	2018-04-30	2019-03-08	2087	2087	130
42034	Date of progressive supranuclear palsy report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of progressive supranuclear palsy report	2018-04-30	2019-03-08	60	60	140
42035	Source of progressive supranuclear palsy report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of progressive supranuclear palsy report	2018-04-30	2019-03-08	60	60	150
42036	Date of multiple system atrophy report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of multiple system atrophy report	2018-04-30	2019-03-08	74	74	160
42037	Source of multiple system atrophy report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of multiple system atrophy report	2018-04-30	2019-03-08	74	74	170
90001	Acceleration data - cwa format	0	2	0	41	0	20	0	1	0	0		1008	0	93	0	4	0	0	These files contain the raw acceleration data, per participant, from a single use (over a 7-day period) of the physical activity monitor. Format is native cwa as returned by the device. <p> Files are typically 250MB each in the raw state and usually compress to around 100MB.	2013-06-13	2019-02-26	103696	115476	100
90002	Data problem indicator	0	1	0	21	11	0	3	2	0	0		1013	93	0	-1	1	0	0	The data problem indicator was derived by combining participant reports (e.g. non-wear) with measurements of the size of the uncompressed dataset returned by the accelerometer device. This field is only present for accelerometer datasets that have had a problem recorded against them. A value of zero indicates that a dataset reported as unreliable was subsequently examined and found to be acceptable.	2013-11-27	2016-02-09	4924	4977	100
90003	Start of requested wear period	0	2	0	61	0	0	0	0	0	0		1011	0	0	0	0	0	0	When devices were dispatched to participants they were programmed to start recording (usually at 10.00am) on a particular date, targeted to be the day they arrived at the participants address. The participant was asked to begin wearing the device immediately upon receipt. This field gives the date and time that the recording was programmed to start - which may be before or after the participant actually began wearing the device, and does not guarantee that the participant actually wore it.	2013-11-27	2016-01-09	103696	103696	110
90004	Acceleration intensity time-series	0	0	0	41	0	20	3	0	0	0		1008	0	0	0	0	0	0	These time-series files describe a participant's accelerometer measured physical activity intensity every five seconds. Each measurement represents the average vector magnitude across all samples recorded in each five second epoch/period. This file may be useful for those interested in analysing accelerometer measured physical activity by time. <p> The first column contains the acceleration value where the units of measurement are milli-gravity. The second column indicates whether this is an actual measurement (value = <blank>) or imputed (value = 1). The time associated with each reading can be inferred from the very first row, which describes the start and end times of the data. Each successive reading is incremented by five seconds. <p> For example, <br>"acceleration (mg) - 2014-05-07 13:29:50 - 2014-05-13 09:50:25 - sampleRate = 5 seconds, imputed" <br>indicates that the first measurement time is at 2014-05-07 13:29:50, the second at 2014-05-07 13:29:55, the third at 2014-05-07 13:30:00 ... and the last at 2014-05-13 09:50:25. <p> Files are typically 760KB each in the raw state and usually compress to around 170KB.	2016-03-02	2016-04-19	103695	103695	110
90010	Start time of wear	0	2	0	61	0	0	3	0	0	0		1011	0	0	0	0	0	0	Start time of wear	2015-11-06	2016-01-29	103695	103695	120
90011	End time of wear	0	2	0	61	0	0	3	0	0	0		1011	0	0	0	0	0	0	End time of wear	2015-11-06	2016-01-29	103695	103695	130
90012	Overall acceleration average	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	This is the recommended variable for physical activity analysis. <p> For final analysis of this variable, it is recommend researchers filter out participants whose data could not be calibrated (~F90016~) or who did not wear the device for sufficiently long to get a stable measure of their physical activity status (~F90015~). For a detailed description, please refer to ~R169649~.	2015-11-06	2016-02-08	103695	103695	100
90013	Standard deviation of acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Standard deviation of acceleration	2015-11-06	2016-02-08	103695	103695	110
90015	Data quality, good wear time	0	2	0	21	11	0	3	0	0	0		1011	7	0	0	0	0	0	At least three days (72 hours) of data and also having data in each one-hour period of the 24-hour cycle (scattered over multiple days)	2015-11-06	2016-02-08	103695	103695	100
90016	Data quality, good calibration	0	2	0	21	11	0	3	0	0	0		1012	7	0	0	0	0	0	YES indicates that the raw accelerometer data has been well calibrated. <p> NO indicates that a participant should be excluded from further analysis because recalibration by the preceding or subsequent measurement was not possible due to insufficient data.	2015-11-06	2016-02-08	103695	103695	120
90017	Data quality, calibrated on own data	0	2	0	21	11	0	3	0	0	0		1012	7	0	0	0	0	0	YES indicates sufficient data were available to conduct calibration on the participant's own stationary data (where any of the three sensor axes did not have values outside a +/- 300 milli-gravity range). <p> NO indicates that the data was recalibrated using the previous (or if unavailable, the next) accelerometer record from the same device worn by a different participant.	2015-11-06	2016-02-08	103695	103695	130
90018	Daylight savings crossover	0	2	0	21	11	0	3	0	0	0		1011	7	0	0	0	0	0	Daylight savings crossover	2015-11-06	2016-01-29	103695	103695	150
90019	Monday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Monday acceleration	2015-11-06	2016-02-08	103695	103695	360
90020	Tuesday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Tuesday acceleration	2015-11-06	2016-02-08	103695	103695	370
90021	Wednesday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Wednesday acceleration	2015-11-06	2016-02-08	103695	103695	380
90022	Thursday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Thursday acceleration	2015-11-06	2016-02-08	103695	103695	390
90023	Friday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Friday acceleration	2015-11-06	2016-02-08	103695	103695	400
90024	Saturday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Saturday acceleration	2015-11-06	2016-02-08	103695	103695	410
90025	Sunday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Sunday acceleration	2015-11-06	2016-02-08	103695	103695	420
90026	First weekday of wear	0	2	0	21	11	0	3	0	0	0		1011	777	0	0	0	0	0	First weekday of wearing device.	2015-11-06	2016-01-29	103695	103695	140
90027	Average acceleration 00:00 - 00:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	00:00 - 00:59 acceleration average	2015-11-06	2016-02-08	103695	103695	120
90028	Average acceleration 01:00 - 01:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	01:00 - 01:59 acceleration average	2015-11-06	2016-02-08	103695	103695	130
90029	Average acceleration 02:00 - 02:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	02:00 - 02:59 acceleration average	2015-11-06	2016-02-08	103695	103695	140
90030	Average acceleration 03:00 - 03:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	03:00 - 03:59 acceleration average	2015-11-06	2016-02-08	103695	103695	150
90031	Average acceleration 04:00 - 04:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	04:00 - 04:59 acceleration average	2015-11-06	2016-02-08	103695	103695	160
90032	Average acceleration 05:00 - 05:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	05:00 - 05:59 acceleration average	2015-11-06	2016-02-08	103695	103695	170
90033	Average acceleration 06:00 - 06:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	06:00 - 06:59 acceleration average	2015-11-06	2016-02-08	103695	103695	180
90034	Average acceleration 07:00 - 07:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	07:00 - 07:59 acceleration average	2015-11-06	2016-02-08	103695	103695	190
90035	Average acceleration 08:00 - 08:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	08:00 - 08:59 acceleration average	2015-11-06	2016-02-08	103695	103695	200
90036	Average acceleration 09:00 - 09:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	09:00 - 09:59 acceleration average	2015-11-06	2016-02-08	103695	103695	210
90037	Average acceleration 10:00 - 10:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	10:00 - 10:59 acceleration average	2015-11-06	2016-02-08	103695	103695	220
90038	Average acceleration 11:00 - 11:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	11:00 - 11:59 acceleration average	2015-11-06	2016-02-08	103695	103695	230
90039	Average acceleration 12:00 - 12:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	12:00 - 12:59 acceleration average	2015-11-06	2016-02-08	103695	103695	240
90040	Average acceleration 13:00 - 13:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	13:00 - 13:59 acceleration average	2015-11-06	2016-02-08	103695	103695	250
90041	Average acceleration 14:00 - 14:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	14:00 - 14:59 acceleration average	2015-11-06	2016-02-08	103695	103695	260
90042	Average acceleration 15:00 - 15:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	15:00 - 15:59 acceleration average	2015-11-06	2016-02-08	103695	103695	270
90043	Average acceleration 16:00 - 16:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	16:00 - 16:59 acceleration average	2015-11-06	2016-02-08	103695	103695	280
90044	Average acceleration 17:00 - 17:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	17:00 - 17:59 acceleration average	2015-11-06	2016-02-08	103695	103695	290
90045	Average acceleration 18:00 - 18:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	18:00 - 18:59 acceleration average	2015-11-06	2016-02-08	103695	103695	300
90046	Average acceleration 19:00 - 19:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	19:00 - 19:59 acceleration average	2015-11-06	2016-02-08	103695	103695	310
90047	Average acceleration 20:00 - 20:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	20:00 - 20:59 acceleration average	2015-11-06	2016-02-08	103695	103695	320
90048	Average acceleration 21:00 - 21:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	21:00 - 21:59 acceleration average	2015-11-06	2016-02-08	103695	103695	330
90049	Average acceleration 22:00 - 22:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	22:00 - 22:59 acceleration average	2015-11-06	2016-02-08	103695	103695	340
90050	Average acceleration 23:00 - 23:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	23:00 - 23:59 acceleration average	2015-11-06	2016-02-08	103695	103695	350
90051	Wear duration overall	0	2	0	31	0	0	3	0	0	0	days	1011	0	0	0	0	0	0	Wear time overall	2015-11-06	2016-02-08	103695	103695	180
90052	Non wear duration overall	0	2	0	31	0	0	3	0	0	0	days	1011	0	0	0	0	0	0	Non wear time overall	2015-11-06	2016-02-08	103695	103695	190
90053	Wear duration during Monday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Monday wear time	2015-11-06	2016-02-08	103695	103695	460
90054	Wear duration during Tuesday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Tuesday wear time	2015-11-06	2016-01-29	103695	103695	500
90055	Wear duration during Wednesday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Wednesday wear time	2015-11-06	2016-01-29	103695	103695	510
90056	Wear duration during Thursday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Thursday wear time	2015-11-06	2016-01-29	103695	103695	490
90057	Wear duration during Friday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Friday wear time	2015-11-06	2016-02-08	103695	103695	450
90058	Wear duration during Saturday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Saturday wear time	2015-11-06	2016-02-08	103695	103695	470
90059	Wear duration during Sunday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Sunday wear time	2015-11-06	2016-01-29	103695	103695	480
90060	Wear duration during 00:00 - 00:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	00:00 - 00:59 wear time	2015-11-06	2016-01-29	103695	103695	210
90061	Wear duration during 01:00 - 01:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	01:00 - 01:59 wear time	2015-11-06	2016-01-29	103695	103695	220
90062	Wear duration during 02:00 - 02:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	02:00 - 02:59 wear time	2015-11-06	2016-01-29	103695	103695	230
90063	Wear duration during 03:00 - 03:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	03:00 - 03:59 wear time	2015-11-06	2016-01-29	103695	103695	240
90064	Wear duration during 04:00 - 04:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	04:00 - 04:59 wear time	2015-11-06	2016-01-29	103695	103695	250
90065	Wear duration during 05:00 - 05:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	05:00 - 05:59 wear time	2015-11-06	2016-01-29	103695	103695	260
90066	Wear duration during 06:00 - 06:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	06:00 - 06:59 wear time	2015-11-06	2016-02-08	103695	103695	270
90067	Wear duration during 07:00 - 07:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	07:00 - 07:59 wear time	2015-11-06	2016-02-08	103695	103695	280
90068	Wear duration during 08:00 - 08:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	08:00 - 08:59 wear time	2015-11-06	2016-01-29	103695	103695	290
90069	Wear duration during 09:00 - 09:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	09:00 - 09:59 wear time	2015-11-06	2016-01-29	103695	103695	300
90070	Wear duration during 10:00 - 10:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	10:00 - 10:59 wear time	2015-11-06	2016-01-29	103695	103695	310
90071	Wear duration during 11:00 - 11:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	11:00 - 11:59 wear time	2015-11-06	2016-01-29	103695	103695	320
90072	Wear duration during 12:00 - 12:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	12:00 - 12:59 wear time	2015-11-06	2016-02-08	103695	103695	330
90073	Wear duration during 13:00 - 13:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	13:00 - 13:59 wear time	2015-11-06	2016-01-29	103695	103695	340
90074	Wear duration during 14:00 - 14:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	14:00 - 14:59 wear time	2015-11-06	2016-01-29	103695	103695	350
90075	Wear duration during 15:00 - 15:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	15:00 - 15:59 wear time	2015-11-06	2016-01-29	103695	103695	360
90076	Wear duration during 16:00 - 16:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	16:00 - 16:59 wear time	2015-11-06	2016-01-29	103695	103695	370
90077	Wear duration during 17:00 - 17:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	17:00 - 17:59 wear time	2015-11-06	2016-01-29	103695	103695	380
90078	Wear duration during 18:00 - 18:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	18:00 - 18:59 wear time	2015-11-06	2016-01-29	103695	103695	390
90079	Wear duration during 19:00 - 19:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	19:00 - 19:59 wear time	2015-11-06	2016-01-29	103695	103695	400
90080	Wear duration during 20:00 - 20:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	20:00 - 20:59 wear time	2015-11-06	2016-02-08	103695	103695	410
90081	Wear duration during 21:00 - 21:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	21:00 - 21:59 wear time	2015-11-06	2016-01-29	103695	103695	420
90082	Wear duration during 22:00 - 22:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	22:00 - 22:59 wear time	2015-11-06	2016-02-08	103695	103695	430
90083	Wear duration during 23:00 - 23:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	23:00 - 23:59 wear time	2015-11-06	2016-01-29	103695	103695	440
90084	Unique hours of wear in a 24 hour cycle (scattered over multiple days)	0	2	0	11	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Unique hours of wear in a 24hr cycle (scattered over multiple days)	2015-11-06	2016-01-29	103695	103695	160
90085	Unique minutes of wear in a 24 hour cycle (scattered over multiple days)	0	2	0	11	0	0	3	0	0	0	minutes	1011	0	0	0	0	0	0	Unique minutes of wear in a 24hr cycle (scattered over multiple days)	2015-11-06	2016-01-29	103695	103695	170
90086	Non wear episodes over 1 hour duration	0	2	0	11	0	0	3	0	0	0		1011	0	0	0	0	0	0	Non wear episodes >1hr duration	2015-11-06	2016-02-08	103695	103695	200
90087	No-wear time bias adjusted average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration average	2015-11-06	2016-02-08	103695	103695	430
90088	No-wear time bias adjusted acceleration standard deviation	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration standard deviation	2015-11-06	2016-02-08	103695	103695	440
90089	No-wear time bias adjusted acceleration median	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration median	2015-11-06	2016-02-08	103695	103695	470
90090	No-wear time bias adjusted acceleration minimum	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration minimum	2015-11-06	2016-02-08	103695	103695	460
90091	No-wear time bias adjusted acceleration maximum	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration maximum	2015-11-06	2016-02-08	103695	103695	450
90092	Fraction acceleration <= 1 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1mg acceleration	2015-11-06	2016-02-08	103695	103695	140
90093	Fraction acceleration <= 2 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 2mg acceleration	2015-11-06	2016-02-08	103695	103695	150
90094	Fraction acceleration <= 3 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 3mg acceleration	2015-11-06	2016-02-08	103695	103695	160
90095	Fraction acceleration <= 4 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 4mg acceleration	2015-11-06	2016-02-08	103695	103695	170
90096	Fraction acceleration <= 5 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 5mg acceleration	2015-11-06	2016-02-08	103695	103695	180
90097	Fraction acceleration <= 6 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 6mg acceleration	2015-11-06	2016-02-08	103695	103695	190
90098	Fraction acceleration <= 7 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 7mg acceleration	2015-11-06	2016-02-08	103695	103695	200
90099	Fraction acceleration <= 8 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 8mg acceleration	2015-11-06	2016-02-08	103695	103695	210
90100	Fraction acceleration <= 9 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 9mg acceleration	2015-11-06	2016-02-08	103695	103695	220
90101	Fraction acceleration <= 10 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 10mg acceleration	2015-11-06	2016-02-08	103695	103695	230
90102	Fraction acceleration <= 11 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 11mg acceleration	2015-11-06	2016-02-08	103695	103695	240
90103	Fraction acceleration <= 12 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 12mg acceleration	2015-11-06	2016-02-08	103695	103695	250
90104	Fraction acceleration <= 13 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 13mg acceleration	2015-11-06	2016-02-08	103695	103695	260
90105	Fraction acceleration <= 14 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 14mg acceleration	2015-11-06	2016-02-08	103695	103695	270
90106	Fraction acceleration <= 15 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 15mg acceleration	2015-11-06	2016-02-08	103695	103695	280
90107	Fraction acceleration <= 16 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 16mg acceleration	2015-11-06	2016-02-08	103695	103695	290
90108	Fraction acceleration <= 17 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 17mg acceleration	2015-11-06	2016-02-08	103695	103695	300
90109	Fraction acceleration <= 18 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 18mg acceleration	2015-11-06	2016-02-08	103695	103695	310
90110	Fraction acceleration <= 19 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 19mg acceleration	2015-11-06	2016-02-08	103695	103695	320
90111	Fraction acceleration <= 20 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 20mg acceleration	2015-11-06	2016-02-08	103695	103695	330
90112	Fraction acceleration <= 25 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 25mg acceleration	2015-11-06	2016-02-08	103695	103695	340
90113	Fraction acceleration <= 30 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 30mg acceleration	2015-11-06	2016-02-08	103695	103695	350
90114	Fraction acceleration <= 35 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 35mg acceleration	2015-11-06	2016-02-08	103695	103695	360
90115	Fraction acceleration <= 40 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 40mg acceleration	2015-11-06	2016-02-08	103695	103695	370
90116	Fraction acceleration <= 45 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 45mg acceleration	2015-11-06	2016-02-08	103695	103695	380
90117	Fraction acceleration <= 50 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 50mg acceleration	2015-11-06	2016-02-08	103695	103695	390
90118	Fraction acceleration <= 55 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 55mg acceleration	2015-11-06	2016-02-08	103695	103695	400
90119	Fraction acceleration <= 60 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 60mg acceleration	2015-11-06	2016-02-08	103695	103695	410
90120	Fraction acceleration <= 65 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 65mg acceleration	2015-11-06	2016-02-08	103695	103695	420
90121	Fraction acceleration <= 70 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 70mg acceleration	2015-11-06	2016-02-08	103695	103695	430
90122	Fraction acceleration <= 75 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 75mg acceleration	2015-11-06	2016-02-08	103695	103695	440
90123	Fraction acceleration <= 80 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 80mg acceleration	2015-11-06	2016-02-08	103695	103695	450
90124	Fraction acceleration <= 85 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 85mg acceleration	2015-11-06	2016-02-08	103695	103695	460
90125	Fraction acceleration <= 90 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 90mg acceleration	2015-11-06	2016-02-08	103695	103695	470
90126	Fraction acceleration <= 95 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 95mg acceleration	2015-11-06	2016-02-08	103695	103695	480
90127	Fraction acceleration <= 100 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 100mg acceleration	2015-11-06	2016-02-08	103695	103695	490
90128	Fraction acceleration <= 125 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 125mg acceleration	2015-11-06	2016-02-08	103695	103695	500
90129	Fraction acceleration <= 150 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 150mg acceleration	2015-11-06	2016-02-08	103695	103695	510
90130	Fraction acceleration <= 175 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 175mg acceleration	2015-11-06	2016-02-08	103695	103695	520
90131	Fraction acceleration <= 200 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 200mg acceleration	2015-11-06	2016-02-08	103695	103695	530
90132	Fraction acceleration <= 225 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 225mg acceleration	2015-11-06	2016-02-08	103695	103695	540
90133	Fraction acceleration <= 250 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 250mg acceleration	2015-11-06	2016-02-08	103695	103695	550
90134	Fraction acceleration <= 275 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 275mg acceleration	2015-11-06	2016-02-08	103695	103695	560
90135	Fraction acceleration <= 300 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 300mg acceleration	2015-11-06	2016-02-08	103695	103695	570
90136	Fraction acceleration <= 325 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 325mg acceleration	2015-11-06	2016-02-08	103695	103695	580
90137	Fraction acceleration <= 350 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 350mg acceleration	2015-11-06	2016-02-08	103695	103695	590
90138	Fraction acceleration <= 375 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 375mg acceleration	2015-11-06	2016-02-08	103695	103695	600
90139	Fraction acceleration <= 400 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 400mg acceleration	2015-11-06	2016-02-08	103695	103695	610
90140	Fraction acceleration <= 425 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 425mg acceleration	2015-11-06	2016-02-08	103695	103695	620
90141	Fraction acceleration <= 450 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 450mg acceleration	2015-11-06	2016-02-08	103695	103695	630
90142	Fraction acceleration <= 475 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 475mg acceleration	2015-11-06	2016-02-08	103695	103695	640
90143	Fraction acceleration <= 500 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 500mg acceleration	2015-11-06	2016-02-08	103695	103695	650
90144	Fraction acceleration <= 600 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 600mg acceleration	2015-11-06	2016-02-08	103695	103695	660
90145	Fraction acceleration <= 700 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 700mg acceleration	2015-11-06	2016-02-08	103695	103695	670
90146	Fraction acceleration <= 800 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 800mg acceleration	2015-11-06	2016-02-08	103695	103695	680
90147	Fraction acceleration <= 900 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 900mg acceleration	2015-11-06	2016-02-08	103695	103695	690
90148	Fraction acceleration <= 1000 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1000mg acceleration	2015-11-06	2016-02-08	103695	103695	700
90149	Fraction acceleration <= 1100 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1100mg acceleration	2015-11-06	2016-02-08	103695	103695	710
90150	Fraction acceleration <= 1200 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1200mg acceleration	2015-11-06	2016-02-08	103695	103695	720
90151	Fraction acceleration <= 1300 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1300mg acceleration	2015-11-06	2016-02-08	103695	103695	730
90152	Fraction acceleration <= 1400 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1400mg acceleration	2015-11-06	2016-02-08	103695	103695	740
90153	Fraction acceleration <= 1500 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1500mg acceleration	2015-11-06	2016-02-08	103695	103695	750
90154	Fraction acceleration <= 1600 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1600mg acceleration	2015-11-06	2016-02-08	103695	103695	760
90155	Fraction acceleration <= 1700 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1700mg acceleration	2015-11-06	2016-02-08	103695	103695	770
90156	Fraction acceleration <= 1800 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1800mg acceleration	2015-11-06	2016-02-08	103695	103695	780
90157	Fraction acceleration <= 1900 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1900mg acceleration	2015-11-06	2016-02-08	103695	103695	790
90158	Fraction acceleration <= 2000 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 2000mg acceleration	2015-11-06	2016-02-08	103695	103695	800
90159	Error tolerance before calibration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1012	0	0	0	0	0	0	Root mean square error of stationary points before calibration.	2015-11-06	2016-02-08	103695	103695	220
90160	Error tolerance after calibration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1012	0	0	0	0	0	0	Root mean square error of stationary points after calibration.	2015-11-06	2016-02-08	103695	103695	230
90161	Calibration coefficients - x offset	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - x offset	2015-11-06	2016-02-08	103695	103695	320
90162	Calibration coefficients - y offset	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - y offset	2015-11-06	2016-02-08	103695	103695	350
90163	Calibration coefficients - z offset	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - z offset	2015-11-06	2016-02-08	103695	103695	380
90164	Calibration coefficients - x slope	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - x slope	2015-11-06	2016-02-08	103695	103695	330
90165	Calibration coefficients - y slope	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - y slope	2015-11-06	2016-02-08	103695	103695	360
90166	Calibration coefficients - z slope	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - z slope	2015-11-06	2016-02-08	103695	103695	390
90167	Calibration coefficients - x temp	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - x temp	2015-11-06	2016-02-08	103695	103695	340
90168	Calibration coefficients - y temp	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - y temp	2015-11-06	2016-02-08	103695	103695	370
90169	Calibration coefficients - z temp	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - z temp	2015-11-06	2016-02-08	103695	103695	400
90170	Calibration coefficients - mean temperature	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - mean temperature	2015-11-06	2016-02-08	103695	103695	240
90171	Calibration - number of static points	0	2	0	11	0	0	3	0	0	0		1012	0	0	0	0	0	0	Calibration - number of stationary ten second windows where all three axes had a standard deviation of less than 13.0 milli-gravity.	2015-11-06	2016-02-08	103695	103695	250
90172	Calibration - minimum x stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - minimum x stationary value	2015-11-06	2016-02-08	103695	103695	290
90173	Calibration - maximum x stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - maximum x stationary value	2015-11-06	2016-02-08	103695	103695	260
90174	Calibration - minimum y stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - minimum y stationary value	2015-11-06	2016-02-08	103695	103695	300
90175	Calibration - maximum y stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - maximum y stationary value	2015-11-06	2016-02-08	103695	103695	270
90176	Calibration - minimum z stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - minimum z stationary value	2015-11-06	2016-02-08	103695	103695	310
90177	Calibration - maximum z stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - maximum z stationary value	2015-11-06	2016-02-08	103695	103695	280
90179	Device ID	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Device ID of accelerometer	2015-11-06	2016-01-29	103695	103695	110
90180	Interrupted recording periods	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number interrupted recording periods. (These could have occurred for example if participants tried to plug their accelerometer device into a computer.)	2015-11-06	2016-01-29	103695	103695	170
90181	Duration of interrupted recording periods	0	2	0	31	0	0	3	0	0	0	minutes	1013	0	0	0	0	0	0	Duration interrupted recording periods	2015-11-06	2016-01-29	103695	103695	180
90182	Data recording errors	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number data recording errors	2015-11-06	2016-01-29	103695	103695	110
90183	Readings exceeding +/-8 gravities before calibration	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number readings exceeding +/-8g sensor range before calibration	2015-11-06	2016-01-29	103695	103695	190
90184	Maximum readings exceeding +/-8 gravities before calibration in a 5 second epoch	0	2	0	11	0	0	3	0	0	0	readings	1013	0	0	0	0	0	0	Maximum number readings exceeding +/-8g sensor range before calibration in a 5 second epoch	2015-11-06	2016-01-29	103695	103695	210
90185	Readings exceeding +/-8 gravities after calibration	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number readings exceeding +/-8g sensor range after calibration	2015-11-06	2016-02-08	103695	103695	200
90186	Maximum readings exceeding +/-8 gravities after calibration in a 5 second epoch	0	2	0	11	0	0	3	0	0	0	readings	1013	0	0	0	0	0	0	Maximum number readings exceeding +/-8g sensor range after calibration in a 5 second epoch	2015-11-06	2016-02-08	103695	103695	220
90187	Total data readings	0	2	0	11	0	0	3	0	0	0	readings	1013	0	0	0	0	0	0	Total number of data readings	2015-11-06	2016-02-08	103695	103695	120
90188	Sample rate average	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate average	2015-11-06	2016-01-29	103695	103695	130
90189	Sample rate standard deviation	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate standard deviation	2015-11-06	2016-01-29	103695	103695	140
90190	Sample rate minimum	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate minimum	2015-11-06	2016-02-08	103695	103695	150
90191	Sample rate maximum	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate maximum	2015-11-06	2016-02-08	103695	103695	160
90192	Temperature average	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature average	2015-11-06	2016-01-29	103695	103695	230
90193	Temperature standard deviation	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature standard deviation	2015-11-06	2016-01-29	103695	103695	240
90194	Temperature minimum	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature minimum	2015-11-06	2016-01-29	103695	103695	250
90195	Temperature maximum	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature maximum	2015-11-06	2016-01-29	103695	103695	260
100001	Food weight	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Total food weight. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	9
100002	Energy	0	0	0	31	0	0	0	1	0	0	KJ	100098	0	1	0	4	0	0	Total energy. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	5
100003	Protein	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Protein. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	14
100004	Fat	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Total fat. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	7
100005	Carbohydrate	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Carbohydrate. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	3
100006	Saturated fat	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Saturated fat. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	16
100007	Polyunsaturated fat	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Polyunsaturated fat. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	12
100008	Total sugars	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Total sugars. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	18
100009	Englyst dietary fibre	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Englyst dietary fibre. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	6
100010	Portion size	0	0	0	21	11	0	0	1	0	0		100097	100014	1	0	4	0	0	Question asked: "How would you describe your serving size?"<p>If the participant activated the Help feature they were shown the message:<p><i>Please compare the amount you eat with other people you know, then try to answer the question.</i>	2012-09-14	2012-09-21	211019	458617	1
100011	Iron	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Iron. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	10
100012	Vitamin B6	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Vitamin B6. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	20
100013	Vitamin B12	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Vitamin B12. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	19
100014	Folate	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Folate. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	8
100015	Vitamin C	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Vitamin C. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	21
100016	Potassium	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Potassium. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	13
100017	Magnesium	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Magnesium. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	11
100018	Retinol	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Retinol. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	208091	442733	15
100019	Carotene	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Carotene. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	4
100020	Typical diet yesterday	0	0	0	21	11	0	0	1	0	0		100097	100010	1	0	4	0	0	Question asked: "Would you say that what you ate and drank yesterday was fairly typical for you? N.B. Your questionnaire answers are just as important to us if your day was not typical."	2012-09-14	2012-09-21	211019	458617	2
100021	Vitamin D	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Vitamin D. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	22
100022	Alcohol	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Alcohol. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	1
100023	Starch	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Starch. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	17
100024	Calcium	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Calcium. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	2
100025	Vitamin E	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Vitamin E. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17	2014-04-22	211034	458684	23
100026	Daily dietary data credible	0	0	0	21	11	0	3	1	0	0		100090	7	1	0	4	0	0	The nutritional data was analysed to generate the daily energy intake estimate in ~F100002~. Datasets are flagged here as not being credible if the daily energy intake exceeded 20MJ for Males or 18MJ for Females. <p> To minimise data storage, only datasets regarded as not being plausible have been flagged.	2015-10-02	2015-10-02	3171	3494	0
100150	Drinking water intake	0	0	0	21	11	0	0	1	0	0	Glass/Beaker	100104	100006	1	0	4	0	0	Question asked: "How many glasses/beakers of water (e.g. still, fizzy, tap) did you drink yesterday?"	2012-09-14	2012-09-21	186991	377582	1
100160	Low calorie drink intake	0	0	0	21	11	0	0	1	0	0	Glass/Can	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cans of low calorie or diet drinks (e.g. fizzy, squash) did you drink yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Low calorie flavoured water should be recorded under low calorie drinks.</i>	2012-09-14	2012-09-21	43604	62229	2
100170	Fizzy drink intake	0	0	0	21	11	0	0	1	0	0	Glass/Can	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cans of carbonated (fizzy) drinks did you drink yesterday?"	2012-09-14	2012-09-21	33881	41453	3
100180	Squash intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of fruit drinks, J20, squash or cordial did you drink yesterday?"	2012-09-14	2012-09-21	44614	57778	4
100190	Orange juice intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of pure orange juice did you drink yesterday?"	2012-09-14	2012-09-21	76238	124246	5
100200	Grapefruit juice intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of pure grapefruit juice did you drink yesterday?"	2012-09-14	2012-09-21	9434	13387	6
100210	Pure fruit/vegetable juice intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of other pure fruit / vegetable juice did you drink yesterday?"	2012-09-14	2012-09-21	44627	64982	7
100220	Fruit smoothie intake	0	0	0	21	11	0	0	1	0	0	Glass/Bottle/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of fruit smoothie did you drink yesterday?"	2012-09-14	2012-09-21	9732	12418	8
100230	Dairy smoothie intake	0	0	0	21	11	0	0	1	0	0	Glass/Bottle/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of dairy/yogurt based smoothie did you drink yesterday?"	2012-09-14	2012-09-21	16482	19330	9
100240	Coffee consumed	0	0	0	21	11	0	0	1	0	0		100104	100010	1	0	4	0	0	Question asked: "Did you drink any coffee yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Include all coffee drinks whether hot, cold/iced, instant, shop bought (including Starbucks), machine made or made by hand. Coffee substitutes such as Barley Cup and Dandelion Coffee should not be recorded here. Instead, record this under other non-alcoholic drinks (further down the page). If some of your coffees were decaffeinated and some were not, please choose Varied for the decaf question. Likewise, if you added sugar/sweetener to some of your coffees but not all, or if the amount of sugar/sweetener you added varied from one coffee drink to another, please choose Varied. The questions on milk, decaffeinated coffee and sugar/sweetener need to be answered here.</i>	2012-09-14	2012-09-21	211019	458617	10
100250	Instant coffee intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of instant coffee did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14	2012-09-21	117072	217412	11
100260	Added milk to instant coffee	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your instant coffee?"<p>This question was only asked to participants who reported drinking instant coffee yesterday.	2012-09-14	2012-09-21	98408	179620	18
100270	Filtered coffee intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of filter/americano/cafetiere coffee did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14	2012-09-21	61853	107800	12
100280	Added milk to filtered coffee	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your filter/americano/cafetiere coffee?"<p>This question was only asked to participants who reported drinking filter/americano/cafetiere coffee yesterday.	2012-09-14	2012-09-21	43451	72425	19
100290	Cappuccino intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of cappuccino did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14	2012-09-21	19234	26166	13
100300	Latte intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of latte did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14	2012-09-21	18283	24691	14
100310	Espresso intake	0	0	0	21	11	0	0	1	0	0	Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of espresso did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14	2012-09-21	8114	11897	15
100320	Added milk to espresso	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your espresso?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14	2012-09-21	2434	3108	20
100330	Other coffee type	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of other coffee drinks did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14	2012-09-21	3919	4366	16
100350	Added milk to other coffee type	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your other type of coffee?"<p>This question was only asked to participants who reported drinking other coffee yesterday.	2012-09-14	2012-09-21	2336	2541	21
100360	Decaffeinated coffee	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Was it decaffeinated coffee?"	2012-09-14	2012-09-21	39190	67070	22
100370	Intake of sugar added to coffee	0	0	0	21	11	0	0	1	0	0	Teaspoon	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons of sugar did you add to your coffee (per drink)?"	2012-09-14	2012-09-21	36336	62906	23
100380	Intake of artificial sweetener added to coffee	0	0	0	21	11	0	0	1	0	0	Teaspoon / tablet	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons/tablets of sweetener (e.g. Canderel) did you add to your coffee (per drink)?"	2012-09-14	2012-09-21	17416	31262	24
100390	Tea consumed	0	0	0	21	11	0	0	1	0	0		100104	100010	1	0	4	0	0	Question asked: "Did you drink any tea/infusion yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Standard tea covers all the different types of tea made with black tea leaves (this is the most common type of tea). This includes teabags and loose leaf tea as well as decaffeinated types. Peppermint tea belongs in the herbal or fruit infusion section. If you added honey to your tea/infusion, please treat this as sugar. Do not treat artificial sweetener as sugar. If your tea or infusion is not on the list, please record it under Other located at the bottom of the list.</i>	2012-09-14	2012-09-21	211019	458617	25
100400	Standard tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of standard tea (e.g. Tetley, PG Tips, Assam, Darjeeling) did you drink yesterday?"	2012-09-14	2012-09-21	157838	320175	26
100410	Rooibos tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of rooibos/redbush tea (e.g. Tick Tock) did you drink yesterday?"	2012-09-14	2012-09-21	11460	19442	27
100420	Green tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of green tea did you drink yesterday?"	2012-09-14	2012-09-21	19129	30634	28
100430	Herbal tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of herbal or fruit tea (infusion) did you drink yesterday?"	2012-09-14	2012-09-21	30032	47787	29
100440	Other tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of other tea or infusion did you drink yesterday?"	2012-09-14	2012-09-21	12268	15891	30
100460	Added milk to standard tea	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk to your standard tea?"<p>This question was only asked to participants who reported drinking standard tea yesterday.	2012-09-14	2012-09-21	142921	288106	32
100470	Decaffeinated tea	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Was your standard tea decaffeinated?"<p>This question was only asked to participants who reported drinking standard tea yesterday.	2012-09-14	2012-09-21	16741	26106	33
100480	Added milk to rooibos tea	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk to your rooibos/redbush tea?"<p>This question was only asked to participants who reported drinking rooibos/redbush tea yesterday.	2012-09-14	2012-09-21	5656	9683	34
100490	Intake of sugar added to tea	0	0	0	21	11	0	0	1	0	0	Teaspoon	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons of sugar did you add to your tea/infusion (per drink)?"	2012-09-14	2012-09-21	25900	45917	35
100500	Intake of artificial sweetener added to tea	0	0	0	21	11	0	0	1	0	0	Teaspoon / tablet	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons/tablets of sweetener (e.g. Canderel) did you add to your tea/infusion (per drink)?"	2012-09-14	2012-09-21	14075	25466	36
100510	Other non-alcoholic drinks	0	0	0	21	11	0	0	1	0	0		100104	100010	1	0	4	0	0	Question asked: "Did you have any other (non-alcoholic) drinks yesterday? e.g. milk, yogurt drinks or hot chocolate."<p>If the participant activated the Help feature they were shown the message:<p><i>You will be asked about alcoholic drinks next. Actimel and yakult should be recorded under yogurt based drinks.</i>	2012-09-14	2012-09-21	211019	458617	37
100520	Milk intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/carton/ 250ml of milk (excluding milkshakes) did you consume yesterday?"	2012-09-14	2012-09-21	15165	19866	38
100530	Flavoured milk intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/carton/ 250ml of yogurt drinks, flavoured milk or milkshakes did you consume yesterday?"	2012-09-14	2012-09-21	7908	9393	39
100540	Low calorie hot chocolate intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many mugs/cups of low calorie hot chocolate drinks did you consume yesterday?"	2012-09-14	2012-09-22	5149	6349	40
100550	Hot chocolate intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many mugs/cups of hot chocolate or other milk-based drinks (including Horlicks) did you consume yesterday?"	2012-09-14	2012-09-21	16116	20980	41
100560	Other drink intake	0	0	0	21	11	0	0	1	0	0	Glass/Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many glasses/mugs/cups of other drinks did you consume yesterday?"	2012-09-14	2012-09-21	8875	10112	42
100580	Alcohol consumed	0	0	0	21	11	0	0	1	0	0		100100	100010	1	0	4	0	0	Question asked: "Did you have any alcoholic drinks yesterday? For instance, beer, wine or spirits."<p>If the participant activated the Help feature they were shown the message:<p><i>Please treat liqueurs as spirits. If you had mixed drinks such as shandy, cocktails or alcopops, think about what went in them. For example, shandy is made from beer, lager or cider (please record the lemonade or ginger beer used in the shandy separately); cocktails and alcopops contain one or more spirits. Alcohol used in cooking should be ignored.</i>	2012-09-14	2012-09-21	211019	458617	1
100590	Red wine intake	0	0	0	21	11	0	0	1	0	0	Wine glass	100100	100006	1	0	4	0	0	Question asked: "How many wine glasses of red wine?"	2012-09-14	2012-09-21	60898	89948	2
100630	Rose wine intake	0	0	0	21	11	0	0	1	0	0	Wine glass	100100	100006	1	0	4	0	0	Question asked: "How many wine glasses of rose wine?"	2012-09-14	2012-09-21	11410	12980	4
100670	White wine intake	0	0	0	21	11	0	0	1	0	0	Wine glass	100100	100006	1	0	4	0	0	Question asked: "How many wine glasses of white wine?"	2012-09-14	2012-09-21	48891	68226	6
100710	Beer/cider intake	0	0	0	21	11	0	0	1	0	0	Pint	100100	100006	1	0	4	0	0	Question asked: "How many pints of beer, lager or cider?"	2012-09-14	2012-09-21	51713	72698	8
100720	Fortified wine intake	0	0	0	21	11	0	0	1	0	0	Sherry/port glass	100100	100006	1	0	4	0	0	Question asked: "How many sherry/port glasses of sherry, fortified wine or port?"	2012-09-14	2012-09-22	7589	9047	9
100730	Spirits intake	0	0	0	21	11	0	0	1	0	0	Measure	100100	100006	1	0	4	0	0	Question asked: "How many measures of spirits e.g. vodka, whisky, gin, rum?"	2012-09-14	2012-09-21	26533	35016	10
100740	Other alcohol intake	0	0	0	21	11	0	0	1	0	0	Units	100100	100006	1	0	4	0	0	Question asked: "How many units of other alcoholic drinks?"	2012-09-14	2012-09-21	6232	6608	11
100760	Breakfast cereal consumed	0	0	0	21	11	0	0	1	0	0		100102	100010	1	0	4	0	0	Question asked: "Did you eat any breakfast cereal yesterday? This could be at any time of the day. Please include hot cereals, but not cereal bars."<p>If the participant activated the Help feature they were shown the message:<p><i>If you had yogurt on your cereal (instead of milk), please record this later in the dessert section as a serving of yogurt. Two standard size shredded wheat or weetabix biscuits counts as one bowl. Please select the option that best describes your type of cereal, otherwise select the Other category.</i>	2012-09-14	2012-09-21	211019	458617	1
100770	Porridge intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of porridge, hot oat cereal (e.g. Ready Brek)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	50526	76644	2
100800	Muesli intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of muesli?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	46508	75567	4
100810	Oat crunch intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of sweetened oat crunch type cereal (e.g. Jordans Country Crisp, chocolate nut clusters)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	13646	17833	5
100820	Sweetened cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of other sweetened cereals (e.g. Ricicles, Honey Nut Cornflakes, Coco Pops)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	10625	12896	6
100830	Plain cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of plain cereals (e.g. Cornflakes, Rice Krispies, Special K)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	28578	39029	7
100840	Bran cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of bran cereals (e.g. bran flakes, All Bran)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	29546	44239	8
100850	Whole-wheat cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of whole-wheat cereals (e.g. Weetabix, Shredded Wheat, Shreddies)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	39507	58121	9
100860	Other cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of other cereal?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	10181	12601	10
100880	Dried fruit added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100009	1	0	4	0	0	Question asked: "Did your cereal contain any dried fruit? (e.g. Sultana Bran, Fruit 'n' Fibre)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	82586	136543	12
100890	Milk added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100009	1	0	4	0	0	Question asked: "Did you add milk to your cereal?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	136553	246650	13
100900	Intake of sugar added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100002	1	0	4	0	0	Question asked: "How many teaspoons of sugar, jam, honey or syrup did you add to your cereal or porridge (per bowl)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	41614	62076	14
100910	Intake of artificial sweetener added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100002	1	0	4	0	0	Question asked: "How much sweetener (e.g. Canderel) did you add to your cereal or porridge (per bowl)?" <p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14	2012-09-21	7766	11207	15
100920	Type milk consumed	0	0	0	21	11	0	0	1	0	0		100107	100015	1	0	4	0	0	Question asked: "Which type of milk did you use most frequently yesterday? Remember milk in drinks, on cereal and in cooking."<p>If the participant activated the Help feature they were shown the message:<p><i>If you typically use more than one type of milk, please select the one you use the most, even if it is only used slightly more than other types. If you had 1% fat milk (e.g. Sainsbury's orange top milk) then please select Semi-skimmed milk.</i>	2012-09-14	2012-09-21	211019	458617	1
100940	Bread consumed	0	0	0	21	11	0	0	1	0	0		100101	100010	1	0	4	0	0	Question asked: "Did you eat any bread or crackers yesterday? e.g. toast, sandwiches, rice cakes, bread rolls, hotdog roll, crumpets, tortilla wraps."<p>If the participant activated the Help feature they were shown the message:<p><i>Please do not include pizza as this will be asked later. Please do not include croissants and pastries as that will be asked later. If your bread or crackers is not on the list, please record it under Other located at the bottom of the list.</i>	2012-09-14	2012-09-21	211019	458617	1
100950	Sliced bread intake	0	0	0	21	11	0	0	1	0	0	Slice	100101	100006	1	0	4	0	0	Question asked: "How many slices of sliced bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	161018	285355	2
101020	Baguette intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of sandwich baguette, ciabatta, panini, or sub?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	36991	42460	5
101090	Bap intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of large sandwich bap, stotty, pitta bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	14826	16224	8
101160	Bread roll intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of bread roll, bap, burger bun, hotdog roll, bagel?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	55759	69775	11
101230	Naan bread intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of naan bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	8824	9325	14
101240	Garlic bread intake	0	0	0	21	11	0	0	1	0	0	Slice	100101	100006	1	0	4	0	0	Question asked: "How many items of garlic bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	8404	8822	15
101250	Crispbread intake	0	0	0	21	11	0	0	1	0	0	Biscuit  / Item	100101	100006	1	0	4	0	0	Question asked: "How many items of crackers, crispbread, rice cakes, corn cakes (e.g. Ryvita)?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	43852	56470	16
101260	Oatcakes intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100101	100006	1	0	4	0	0	Question asked: "How many items of oat cakes?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	16768	21345	17
101270	Other bread intake	0	0	0	21	11	0	0	1	0	0	Slice / Item	100101	100006	1	0	4	0	0	Question asked: "How many items of other bread (e.g. crumpets, tortilla wraps, breadsticks)?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14	2012-09-21	25946	29727	18
101300	Butter/margarine on bread/crackers	0	0	0	21	11	0	0	1	0	0		100101	100010	1	0	4	0	0	Question asked: "Did you have any butter or margarine on your bread or crackers?"<p>If the participant activated the Help feature they were shown the message:<p><i>Previously, you were asked about bread and crackers. We'd now like to know how many of them had butter or margarine on them. The total displayed beside the bread type shows the number of slices/items that you had yesterday (as recorded in the bread/crackers page). The soft margarine spreads have extra options covering fat content and cholesterol lowering properties. Please tick all options that apply to you.</i>	2012-09-14	2012-09-21	161209	296232	20
101310	Number of bread slices with butter/margarine	0	0	0	21	11	0	0	1	0	0	Slice	100101	100006	1	0	4	0	0	Question asked: "How many of the slices of bread had butter/margarine?"<p>This question was only asked to participants who reported eating sliced bread and having butter or margarine on it.	2012-09-14	2012-09-21	137117	232087	21
101350	Number of baguettes with butter/margarine	0	0	0	21	11	0	0	1	0	0	Bread	100101	100006	1	0	4	0	0	Question asked: "How many of the sandwich baguette, ciabatta, panini, or sub had butter/margarine?"<p>This question was only asked to participants who reported consuming sandwich baguette, ciabatta, panini, or sub and having butter or margarine on it.	2012-09-14	2012-09-21	22309	24805	23
101390	Number of baps with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Bread	100101	100006	1	0	4	0	0	Question asked: "How many of the large sandwich bap, stotty, pitta bread had butter/margarine?"<p>This question was only asked to participants who reported consuming large sandwich bap, stotty, pitta bread and having butter or margarine on it.	2012-09-14	2012-09-21	6737	7158	25
101430	Number of bread rolls with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Bread	100101	100006	1	0	4	0	0	Question asked: "How many of the bread roll, bap, burger bun, hotdog roll, bagel had butter/margarine?"<p>This question was only asked to participants who reported consuming bread roll, bap, burger bun, hotdog roll, bagel and having butter or margarine on it.	2012-09-14	2012-09-21	38086	46157	27
101470	Number of crackers/crispbreads with butter/margarine	0	0	0	21	11	0	0	1	0	0	Biscuit/	100101	100006	1	0	4	0	0	Question asked: "How many of the crackers, crispbread, rice cakes, corn cakes had butter/margarine?"<p>This question was only asked to participants who reported consuming crackers, crispbread, rice cakes, corn cakes and having butter or margarine on it.	2012-09-14	2012-09-21	17412	21331	29
101510	Number of oatcakes with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Biscuit	100101	100006	1	0	4	0	0	Question asked: "How many of the oat cakes had butter/margarine?"<p>This question was only asked to participants who reported consuming crackers, crispbread, rice cakes, corn cakes and having butter or margarine on it.	2012-09-14	2012-09-21	4024	4796	31
101550	Number of other bread types with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Slice/	100101	100006	1	0	4	0	0	Question asked: "How many of the other bread type had butter/margarine?"<p>This question was only asked to participants who reported consuming other bread type and having butter or margarine on it.	2012-09-14	2012-09-21	12032	13337	33
101970	Double crust pastry intake	0	0	0	21	11	0	0	1	0	0	Slice / Item	100109	100004	1	0	4	0	0	Question asked: "How many slices/items of double crust pie (e.g. slice of a large pie, a whole small pie or pasty) did you have? N.B. Fillings and toppings should be recorded later."<p>If the participant activated the Help feature they were shown the message:<p><i>Small individual pies and pasties include mince pie, pork pie, cornish pasty, filo parcels etc. A double crust pie is a pie made with a pastry base and a pastry top.</i>	2012-09-14	2012-09-21	20697	22601	1
101980	Single crust pastry intake	0	0	0	21	11	0	0	1	0	0	Slice / Item	100109	100004	1	0	4	0	0	Question asked: "How many slices/items of single crust pie/flan (pastry base or pastry top, e.g. quiche) did you have? N.B. Fillings and toppings should be recorded later."<p>If the participant activated the Help feature they were shown the message:<p><i>A single crust pie is a pie made with either just the pastry base (such as a flan, quiche, or puff pastry tartlet) or just the pastry top (such as a bake topped with puff pastry).</i>	2012-09-14	2012-09-21	18688	19939	2
101990	Crumble intake	0	0	0	21	11	0	0	1	0	0	Serving	100109	100004	1	0	4	0	0	Question asked: "How many servings of crumble topping (e.g. fruit crumble, vegetable crumble) did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	11544	12344	3
102000	Pizza intake	0	0	0	21	11	0	0	1	0	0	Medium slice	100109	100004	1	0	4	0	0	Question asked: "How many medium slices of pizza did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	14914	15794	4
102010	Pancake intake	0	0	0	21	11	0	0	1	0	0	Pancake	100109	100004	1	0	4	0	0	Question asked: "How many pancakes/crepes did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	3529	3586	5
102020	Scotch pancake intake	0	0	0	21	11	0	0	1	0	0	Pancake	100109	100004	1	0	4	0	0	Question asked: "How many scotch pancakes/blinis/American style pancakes did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	3113	3319	6
102030	Yorkshire pudding intake	0	0	0	21	11	0	0	1	0	0	Muffin-sized pudding	100109	100004	1	0	4	0	0	Question asked: "How many muffin-sized pudding/servings of yorkshire pudding did you have? N.B. Fillings and toppings should be recorded later."<p>If the participant activated the Help feature they were shown the message:<p><i>Yorkshire pudding includes individual muffin-sized puddings, plus the large style Yorkshire pudding with or without filling (e.g. toad in the hole).</i>	2012-09-14	2012-09-21	12841	13823	7
102040	Indian snacks intake	0	0	0	21	11	0	0	1	0	0	Item	100109	100004	1	0	4	0	0	Question asked: "How many pakoras, onion bhajis, samosas did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	5837	6092	8
102050	Croissant intake	0	0	0	21	11	0	0	1	0	0	Pastry	100109	100004	1	0	4	0	0	Question asked: "How many croissants did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	9618	10780	9
102060	Danish pastry intake	0	0	0	21	11	0	0	1	0	0	Pastry	100109	100004	1	0	4	0	0	Question asked: "How many Danish pastries did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	8919	9539	10
102070	Scone intake	0	0	0	21	11	0	0	1	0	0	Scone	100109	100004	1	0	4	0	0	Question asked: "How many scones (plain, fruit, cheese), cobblers did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14	2012-09-21	19536	22249	11
102080	Yogurt/ice-cream consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any yogurt or ice-cream yesterday?"	2012-09-14	2012-09-21	211019	458617	12
102090	Yogurt intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of yogurt (plain or flavoured) did you have?"<p>This question was only asked to participants who reported having consumed yogurt or ice-cream.	2012-09-14	2012-09-21	97466	154882	13
102120	Ice-cream intake	0	0	0	21	11	0	0	1	0	0	Serving / scoop	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual ice creams of ice-cream (including individual ice-creams such as choc-ice, cornets) did you have?"<p>Two scoops is considered to be one serving of ice-cream. This question was only asked to participants who reported having consumed yogurt or ice-cream.	2012-09-14	2012-09-21	42418	51332	15
102130	Dessert consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any cakes, puddings or other desserts yesterday? Also includes custard, cheesecake, rice pudding, sponge pudding etc."<p>If the participant activated the Help feature they were shown the message:<p><i>Fruit crumble/fruit pie is a special case and we ask that you record it as a portion of pastry or crumble (earlier page) plus a portion of stewed fruit (later page). Select which category best describes your type of dessert, otherwise select the Other category.</i>	2012-09-14	2012-09-21	211019	458617	16
102140	Milk-based pudding intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of custard, rice pudding, semolina pudding, blancmange did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	16826	18759	17
102150	Other milk-based pudding intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of other milk based desserts (e.g. mousse, tiramisu, creme caramel) did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	9801	10510	18
102170	Soya dessert intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of soya ice cream, soya yogurt, other soya dessert did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	2290	2585	20
102180	Fruitcake intake	0	0	0	21	11	0	0	1	0	0	Slice	100109	100003	1	0	4	0	0	Question asked: "How many slices of fruit cake did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	21337	24052	21
102190	Cake intake	0	0	0	21	11	0	0	1	0	0	Slice/Item	100109	100003	1	0	4	0	0	Question asked: "How many slices/items of cake, muffin, flapjack, brownie, pecan pie did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	50710	62568	22
102200	Doughnut intake	0	0	0	21	11	0	0	1	0	0	Item	100109	100003	1	0	4	0	0	Question asked: "How many items of doughnuts did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	3672	3810	23
102210	Sponge pudding intake	0	0	0	21	11	0	0	1	0	0	Serving	100109	100003	1	0	4	0	0	Question asked: "How many servings of sponge pudding did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	9834	10297	24
102220	Cheesecake intake	0	0	0	21	11	0	0	1	0	0	Serving	100109	100003	1	0	4	0	0	Question asked: "How many servings of cheesecake did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	10112	10556	25
102230	Other dessert intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of other desserts did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14	2012-09-21	36071	41103	26
102250	Sweet snack consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any biscuits, chocolate or sweets yesterday? Also includes sweets, cereal bars, chocolate covered raisins, sweet popcorn and other sweet snacks."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of sweet snack food, otherwise select the Other category.</i>	2012-09-14	2012-09-21	211019	458617	28
102260	Chocolate bar intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many chocolate bars (~50 g e.g. Crunchie, Snickers) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Chocolate bars about 50g in weight mean standard size bars, rather than snack size or jumbo size.</i>	2012-09-14	2012-09-21	28386	33308	29
102270	White chocolate intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many white chocolate bars (~50 g) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>If you have had just one or two squares of chocolate, or just one or two sweets, please record this as 1/4.</i>	2012-09-14	2012-09-21	2371	2483	30
102280	Milk chocolate intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many milk chocolate bars (~50 g) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>If you have had just one or two squares of chocolate, or just one or two sweets, please record this as 1/4.</i>	2012-09-14	2012-09-21	25771	30035	31
102290	Dark chocolate intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many plain/dark chocolate bars (~50 g) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>If you have had just one or two squares of chocolate, or just one or two sweets, please record this as 1/4.</i>	2012-09-14	2012-09-21	22613	29914	32
102300	Chocolate-covered raisin intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of chocolate/yogurt covered raisins did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14	2012-09-21	3502	3727	33
102310	Chocolate sweet intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of chocolate sweets (e.g. Roses, Milk Tray) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14	2012-09-21	22621	25452	34
102320	Diet sweets intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of low sugar/sugar free sweets (hard and soft) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14	2012-09-21	3223	3523	35
102330	Sweets intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of sweets (hard and soft, e.g. peppermints, toffees, fudge, fruit flavoured sweets) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14	2012-09-21	25532	30718	36
102340	Chocolate-covered biscuits intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100109	100005	1	0	4	0	0	Question asked: "How many chocolate covered biscuits (e.g. Penguin) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Very large cookies count as two biscuits.</i>	2012-09-14	2012-09-21	30070	36868	37
102350	Chocolate biscuits intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100109	100005	1	0	4	0	0	Question asked: "How many chocolate biscuits (e.g. choc chip cookies, chocolate digestive biscuits) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Very large cookies count as two biscuits.</i>	2012-09-14	2012-09-21	37745	45644	38
102360	Sweet biscuits intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100109	100005	1	0	4	0	0	Question asked: "How many sweet biscuits (e.g. digestive, shortbread, ginger nut) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Very large cookies count as two biscuits.</i>	2012-09-14	2012-09-21	63926	85968	39
102370	Cereal bar intake	0	0	0	21	11	0	0	1	0	0	Bar	100109	100005	1	0	4	0	0	Question asked: "How many cereal bars did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14	2012-09-21	21598	26433	40
102380	Other sweets intake	0	0	0	21	11	0	0	1	0	0	Handful/Item	100109	100005	1	0	4	0	0	Question asked: "How many handfuls/items of other sweet snacks did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14	2012-09-21	10299	10939	41
102400	Savoury snack consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any crisps, nuts or savoury snacks yesterday? Also includes seeds and olives."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of savoury snack, otherwise select the Other category.</i>	2012-09-14	2012-09-21	211019	458617	43
102410	Salted peanuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of roasted/salted peanuts did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	14434	17121	44
102420	Unsalted peanuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of unsalted (monkey nuts) peanuts did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	3745	4223	45
102430	Salted nuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of salted/roasted nuts (e.g. almonds, cashews, pistachios) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	10290	11505	46
102440	Unsalted nuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of unsalted nuts (e.g. almonds, cashews, walnuts) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	27027	36075	47
102450	Seeds intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of seeds (e.g. sunflower, pumpkin, linseeds) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	11991	15488	48
102460	Crisp intake	0	0	0	21	11	0	0	1	0	0	Small bag	100109	100003	1	0	4	0	0	Question asked: "How many small bags of crisps (e.g. Walkers, Sensations, Doritos, Hula Hoops) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	63334	83952	49
102470	Savoury biscuits intake	0	0	0	21	11	0	0	1	0	0	Bag	100109	100003	1	0	4	0	0	Question asked: "How many snack size bags of savoury crispbread/corn cake snacks (e.g. Snack-a-Jack, flavoured Ryvita) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	3811	4039	50
102480	Cheesy biscuits intake	0	0	0	21	11	0	0	1	0	0	Handful/Bag	100109	100003	1	0	4	0	0	Question asked: "How many handfuls/bags of cheesy biscuits (e.g. Mini Cheddars, Tuc) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	6060	6566	51
102490	Olives intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of olives did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	14815	17416	52
102500	Other savoury snack intake	0	0	0	21	11	0	0	1	0	0	Handful/Bag	100109	100003	1	0	4	0	0	Question asked: "How many handfuls/bags of other savoury snack did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14	2012-09-21	11640	12775	53
102520	Soup consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you have any soup yesterday? Include cup-a-soup, canned soup, soup in cartons or pouches, soup eaten out and soup made at home."<p>If the participant activated the Help feature they were shown the message:<p><i>Soup eaten out will likely be either canned soup or home-made soup. For example: if the soup being served in a cafe has a brand name such as Heinz, please choose carton/pouch/canned soup; if the soup has been freshly prepared in a restaurant, please choose home-made soup. If home-made or carton/pouch/canned soup is recorded, please use the tick boxes to record the main ingredients. Please do not record these ingredients elsewhere. If a suitable tick box is not available, please use the Other tick box and enter the ingredient(s) in the box beside it.</i>	2012-09-14	2012-09-22	211019	458617	55
102530	Powdered/instant soup intake	0	0	0	21	11	0	0	1	0	0	Mug/Bowl	100109	100004	1	0	4	0	0	Question asked: "How many mugs/bowls of dried/powdered soup (e.g. Cup-a-Soup) did you have?"<p>This question was only asked to participants who reported consuming soup.	2012-09-14	2012-09-22	8837	10596	56
102540	Canned soup intake	0	0	0	21	11	0	0	1	0	0	Bowl	100109	100004	1	0	4	0	0	Question asked: "How many bowls of carton/pouch/canned soup did you have?"<p>This question was only asked to participants who reported consuming soup.	2012-09-14	2012-09-22	20802	23851	57
102620	Homemade soup intake	0	0	0	21	11	0	0	1	0	0	Bowl	100109	100004	1	0	4	0	0	Question asked: "How many bowls of home-made soup did you have?"<p>This question was only asked to participants who reported consuming soup.	2012-09-14	2012-09-22	34435	41777	60
102700	Starchy food consumers	0	0	0	21	11	0	0	1	0	0		100101	100010	1	0	4	0	0	Question asked: "Did you eat any pasta, rice, sushi or couscous yesterday? This includes noodles, lasagne pasta sheets and other cooked grains such as bulgar wheat."<p>This can accompany a meal, or be a meal in itself. It may be hot or cold.	2012-09-14	2012-09-22	211019	458617	37
102710	White pasta intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of white pasta/noodles did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.<p>If the participant activated the Help feature they were shown the message:<p><i>Please treat coloured pasta (e.g. green) as white pasta.</i>	2012-09-14	2012-09-22	44655	51983	38
102720	Wholemeal pasta intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of wholemeal pasta did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14	2012-09-22	8381	9140	39
102730	White rice intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of white rice did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14	2012-09-22	43275	50740	40
102740	Brown rice intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of brown rice did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14	2012-09-22	9908	10966	41
102750	Sushi intake	0	0	0	21	11	0	0	1	0	0	Sushi	100101	100001	1	0	4	0	0	Question asked: "How many pieces of sushi did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.<p>If the participant activated the Help feature they were shown the message:<p><i>Sushi consists of sushi rice, sometimes with seaweed, with a variety of toppings/fillings made from vegetables, fish and meat. If you record that you have eaten sushi, then you do not need to record the toppings/fillings or seaweed elsewhere.</i>	2012-09-14	2012-09-22	1472	1536	42
102760	Snackpot intake	0	0	0	21	11	0	0	1	0	0	Pot	100101	100001	1	0	4	0	0	Question asked: "How many pots of snack pot, noodles/rice (e.g. Pot Noodle) did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14	2012-09-22	752	772	43
102770	Couscous intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of couscous did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14	2012-09-22	8598	9158	44
102780	Other grain intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of other cooked grains such as bulgur wheat, millet or pearl barley did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14	2012-09-22	2659	2827	45
102800	Cheese consumers	0	0	0	21	11	0	0	1	0	0		100107	100010	1	0	4	0	0	Question asked: "Did you eat any cheese yesterday? Cheese in sandwiches, on burgers, on jacket potato, pasta dishes."<p>If the participant activated the Help feature they were shown the message:<p><i>Please do not include cheese sauce as this will be asked later. A guide to servings: 1 serving of cheese - a chunk about the size of a small matchbox; 1 serving of grated cheese - about a handful or a large spoonful; 1 serving of spreadable cheese - the amount spread onto a typical slice of square sandwich bread.</i>	2012-09-14	2012-09-22	211019	458617	3
102810	Low fat hard cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of low fat hard cheese (e.g. Edam, reduced fat Cheddar) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	20014	23379	4
102820	Hard cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of hard cheese (e.g. Cheddar, Parmesan) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	91918	130108	5
102830	Soft cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of soft cheese (e.g. Brie) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	17488	20072	6
102840	Blue cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of blue cheese (e.g. Stilton) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	12940	14754	7
102850	Low fat cheese spread intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of low fat spreadable cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	7429	8413	8
102860	Cheese spread intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of spreadable cheese (e.g. cream cheese) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	7750	8333	9
102870	Cottage cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of cottage cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	5609	6628	10
102880	Feta intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of feta did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	5485	5834	11
102890	Mozzarella intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of mozzarella did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	7149	7512	12
102900	Goat's cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of goat's cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	6775	7681	13
102910	Other cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of other cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14	2012-09-22	8428	8967	14
102930	Egg consumers	0	0	0	21	11	0	0	1	0	0		100107	100010	1	0	4	0	0	Question asked: "Did you eat any eggs yesterday? e.g. with breakfast, with a salad, with toast, part of a main meal or in sandwiches."<p>If the participant activated the Help feature they were shown the message:<p><i>Gala pies (pork pies with egg) should have the boiled egg part recorded in this section (don't forget to record the pastry and pork as well). Do not count eggs that are cooking ingredients such as those in cakes or homemade burgers.</i>	2012-09-14	2012-09-22	211019	458617	16
102940	Whole egg intake	0	0	0	21	11	0	0	1	0	0	Number of eggs	100107	100003	1	0	4	0	0	Question asked: "How many whole eggs (e.g. fried, boiled, poached) did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14	2012-09-22	52151	64949	17
102950	Omelette intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of omelettes or scrambled eggs did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14	2012-09-22	20386	22377	18
102960	Eggs in sandwiches intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of egg in sandwiches (made with or without mayonnaise) did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14	2012-09-22	10307	10919	19
102970	Scotch egg intake	0	0	0	21	11	0	0	1	0	0	Each	100107	100003	1	0	4	0	0	Question asked: "How many scotch eggs did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14	2012-09-22	989	1016	20
102980	Other egg intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of other egg dishes did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14	2012-09-22	6464	6748	21
103000	Meat consumers	0	0	0	21	11	0	0	1	0	0		100106	100010	1	0	4	0	0	Question asked: "Did you eat any meat or poultry yesterday? Think about curry, stir-fry, sandwiches, pie fillings, sausages/burgers, liver, pate or mince."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of meat or poultry, otherwise select the Other category. Game and offal (not liver) should be recorded in the Other category.</i>	2012-09-14	2012-09-22	211019	458617	1
103010	Sausage intake	0	0	0	21	11	0	0	1	0	0	Each	100106	100016	1	0	4	0	0	Question asked: "How many sausages did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	32221	36039	2
103020	Beef intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of beef (e.g. roast, steak, mince, curry, burger) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	69704	85875	3
103030	Pork intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of pork (e.g. roast, chops, sweet and sour) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	28892	32037	4
103040	Lamb intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of lamb or mutton (e.g. roast, chops, stew, burger) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	22841	24911	5
103050	Crumbed or deep-fried poultry intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of chicken or turkey in breadcrumbs or deep fried (e.g. nuggets, KFC) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	13768	14481	6
103060	Poultry intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of chicken or turkey (e.g. roast, drumsticks, curry) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	83171	107305	7
103070	Bacon intake	0	0	0	21	11	0	0	1	0	0	Rasher	100106	100016	1	0	4	0	0	Question asked: "How many rashers of bacon did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	37289	43199	8
103080	Ham intake	0	0	0	21	11	0	0	1	0	0	Slice	100106	100016	1	0	4	0	0	Question asked: "How many slices of ham, Parma ham, salami, pastrami, cured meats did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	57081	71339	9
103090	Liver intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of liver or liver pate did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	9132	9773	10
103100	Other meat intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of other meat (e.g. duck, goose, kidney) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14	2012-09-22	8736	9156	11
103120	Fat removed from meat	0	0	0	21	11	0	0	1	0	0		100106	100008	1	0	4	0	0	Question asked: "Did you remove the fat from the beef, pork, lamb, mutton, bacon, ham or other cured meats?"<p>This question was only asked to participants who reported consuming these types of meat.	2012-09-14	2012-09-22	105592	152705	14
103130	Skin removed from poultry	0	0	0	21	11	0	0	1	0	0		100106	100008	1	0	4	0	0	Question asked: "Did you remove the skin from the chicken or turkey?"<p>This question was only asked to participants who reported consuming poultry.<p>If the participant activated the Help feature they were shown the message:<p><i>N/A means Not Applicable.</i>	2012-09-14	2012-09-22	82037	106211	13
103140	Fish consumer	0	0	0	21	11	0	0	1	0	0		100106	100010	1	0	4	0	0	Question asked: "Did you eat any fish or seafood yesterday? e.g. at breakfast, takeaway with chips, smoked fish, fish pate, tuna in sandwiches."<p>If the participant activated the Help feature they were shown the message:<p><i>Any fish or seafood used in sushi does not need to be recorded here. Sushi should have been recorded previously in the pasta and rice section. Select which category best describes the type of fish you ate, otherwise select the Other category.</i>	2012-09-14	2012-09-22	211019	458617	15
103150	Tinned tuna intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of tinned tuna did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	20557	22802	16
103160	Oily fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of oily fish (e.g. salmon, tinned salmon, herring, mackerel, sardines, fresh tuna steak) did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	44524	53767	17
103170	Breaded fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of breaded fish (e.g. fish fingers) or fish cakes did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.<p>If the participant activated the Help feature they were shown the message:<p><i>Two fish fingers or two fish cakes count as one serving.</i>	2012-09-14	2012-09-22	9728	10222	18
103180	Battered fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of battered fish did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	8842	9167	19
103190	White fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of white fish (e.g. cod, haddock, fish pie) did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	21712	23583	20
103200	Prawns intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of prawns did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	19119	21020	21
103210	Lobster/crab intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of lobster or crab did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	2276	2345	22
103220	Shellfish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of shellfish (e.g. mussels, scallops) did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	4830	5056	23
103230	Other fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of other fish did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14	2012-09-22	8119	8530	24
103250	Vegetarian alternatives intake	0	0	0	21	11	0	0	1	0	0		100111	100010	1	0	4	0	0	Question asked: "Did you eat any vegetarian alternatives to meat yesterday? e.g. vegetarian burgers / sausages, nut roast, tofu, soya, Quorn."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of vegetarian food, otherwise select the Other category.</i>	2012-09-14	2012-09-22	211019	458617	1
103260	Vegetarian sausages/burgers intake	0	0	0	21	11	0	0	1	0	0	Each	100111	100004	1	0	4	0	0	Question asked: "How many vegetarian sausages/burgers did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.	2012-09-14	2012-09-22	3718	4215	2
103270	Tofu intake	0	0	0	21	11	0	0	1	0	0	Serving	100111	100004	1	0	4	0	0	Question asked: "How many servings of tofu/tempeh/TVP/soya mince did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of vegetarian food, otherwise select the Other category.</i>	2012-09-14	2012-09-22	2936	3363	3
103280	Quorn intake	0	0	0	21	11	0	0	1	0	0	Serving	100111	100004	1	0	4	0	0	Question asked: "How many servings of Quorn did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.	2012-09-14	2012-09-22	5255	6398	4
103290	Other vegetarian alternative intake	0	0	0	21	11	0	0	1	0	0	Serving	100111	100004	1	0	4	0	0	Question asked: "How many servings of other vegetarian alternative (e.g. nut roast) did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.<p>If the participant activated the Help feature they were shown the message:<p><i>If you record that you had a nut roast or a lentil roast here, you do not need to record the nuts/vegetables/lentils anywhere else.</i>	2012-09-14	2012-09-22	3724	3963	5
103310	Spreads/sauces consumers	0	0	0	21	11	0	0	1	0	0		100110	100010	1	0	4	0	0	Question asked: "Did you have any spreads, sauces, dips, jams or honey yesterday? e.g. Marmite, cream, mayo, hummus, dressings, ketchup, gravy, white sauce, cheese sauce, pasta sauce."<p>If the participant activated the Help feature they were shown the message:<p><i>Please do not include cream cheese as that was asked about in the cheese section. Select which category best describes your type of spread, sauce or dip, otherwise select the Other category.</i>	2012-09-14	2012-09-22	211019	458617	1
103980	No fat for cooking	0	0	0	21	11	0	0	1	0	0		100110	100010	1	0	4	0	0	Question asked: "Were no fats or oils were used in cooking yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Only use the None option at the bottom of the list if you are completely certain you did not have any kind of oil or fat at all (e.g. only salad eaten).</i>	2012-09-14	2012-09-22	67329	89343	8
103990	Vegetable consumers	0	0	0	21	11	0	0	1	0	0		100103	100010	1	0	4	0	0	Question asked: "Did you eat any beans, lentils, potatoes or vegetables yesterday? Include fresh, tinned, frozen, dried; chips, salad, coleslaw, baked beans, chickpeas, veg in stews, pies etc."<p>If the participant activated the Help feature they were shown the message:<p><i>Please include all vegetables, whether they are eaten by themselves, as an accompaniment or within a particular dish/meal such as a stew or pie. A serving of vegetables would be the typical amount dished up as an accompaniment to main meal. e.g. if you had a roast dinner with meat, potatoes, carrots and peas, most people would have one serving of potatoes, one serving of carrots and one serving of peas. For small amounts of vegetables that are not big enough to be counted individually (e.g. in a stew), please guess the number of servings and record that under Vegetable pieces. A serving is about the amount that would be dished up using a serving spoon (large spoon typically used in canteens or self-service buffets). Example: a beef stew with carrot and parsnip may have enough vegetables in it to count as a half serving of carrots plus a half serving of parsnip (possibly even a whole serving if there are a lot of vegetables in the stew). If not, it may be better to record the vegetables as a half serving of Vegetable pieces. For a selection of vegetables where the precise type may be unknown (for example in a shop bought vegetable pie or a stir fry cooked by a friend) please guess the total amount and record that under Vegetable pieces. Olives should have been recorded earlier under 'Savoury Snacks'. If your vegetable is not on the list, please record it under 'Other' located at the bottom of the list.</i>	2012-09-14	2012-09-22	211019	458617	1
104000	Baked bean intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of baked beans did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	29673	33533	2
104010	Pulses intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of other beans (kidney beans/chick peas/butter beans etc) or lentils did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	35365	41759	3
104020	Fried potatoes intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of potatoes (fried, chips, wedges, roast) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	67189	82488	4
104030	Boiled/baked potatoes intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of baked or boiled potatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	89562	119118	5
104040	Butter/margarine added to potatoes	0	0	0	21	11	0	0	1	0	0		100103	100013	1	0	4	0	0	Question asked: "Was butter or margarine added to the baked or boiled potato?"<p>This question was only asked to participants who reported consuming baked or boiled potatoes.	2012-09-14	2012-09-22	16703	18365	6
104050	Mashed potato intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mashed potatoes did you have?"	2012-09-14	2012-09-22	41122	47213	7
104060	Mixed vegetable intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mixed vegetables (e.g. frozen mixed veg) did you have?"<p>This question was only asked to participants who reported consuming vegetables.<p>If the participant activated the Help feature they were shown the message:<p><i>Vegetables recorded as 'Mixed vegetables', 'Vegetable pieces', 'Coleslaw' or 'Mixed side salad' should not be recorded individually further down the list.</i>	2012-09-14	2012-09-22	34405	39823	8
104070	Vegetable pieces intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of vegetable pieces (too small to be counted as individual veg) did you have?"<p>This question was only asked to participants who reported consuming vegetables.<p>If the participant activated the Help feature they were shown the message:<p><i>Vegetables recorded as 'Mixed vegetables', 'Vegetable pieces', 'Coleslaw' or 'Mixed side salad' should not be recorded individually further down the list.</i>	2012-09-14	2012-09-22	48141	56699	9
104080	Coleslaw intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of coleslaw or other salad vegetables in mayonnaise (e.g. waldorf salad) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	23155	26261	10
104090	Side salad intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mixed side salad did you have?"<p>If the participant activated the Help feature they were shown the message:<p><i>Vegetables recorded as 'Mixed vegetables', 'Vegetable pieces', 'Coleslaw' or 'Mixed side salad' should not be recorded individually further down the list. A side serving of salad (e.g. a few lettuce leaves, a couple of slices of tomato, a slice of red onion and a little cucumber) would count as a serving of mixed side salad. A large salad can contain half or whole servings of individual salad vegetables such as lettuce or tomato.</i>	2012-09-14	2012-09-22	79100	105019	11
104100	Avocado intake	0	0	0	21	11	0	0	1	0	0	Medium avocado	100103	100017	1	0	4	0	0	Question asked: "How many medium avocados did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	13477	15923	12
104110	Broad bean intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of broad beans did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	10005	10657	13
104120	Green bean intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of green/French/runner beans did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	39284	45980	14
104130	Beetroot intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of beetroot did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	25933	30645	15
104140	Broccoli intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of broccoli did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	56726	71350	16
104150	Butternut squash intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of butternut squash did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	8700	9463	17
104160	Cabbage/kale intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of cabbage/greens/kale did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	34119	39562	18
104170	Carrot intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of carrots (fresh, frozen, raw, cooked) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	93432	128859	19
104180	Cauliflower intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of cauliflower did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	31852	37062	20
104190	Celery intake	0	0	0	21	11	0	0	1	0	0	Stick	100103	100017	1	0	4	0	0	Question asked: "How many sticks of celery did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	28588	35029	21
104200	Courgette intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of courgette did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	22736	26023	22
104210	Cucumber intake	0	0	0	21	11	0	0	1	0	0	1inch / 25mm	100103	100017	1	0	4	0	0	Question asked: "How many 1 inch/2.5cm servings of cucumber did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	49891	63126	23
104220	Garlic intake	0	0	0	21	11	0	0	1	0	0	Clove	100103	100017	1	0	4	0	0	Question asked: "How many cloves of garlic did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	39520	50637	24
104230	Leek intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of leeks did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	19304	21430	25
104240	Lettuce intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of lettuce did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	71373	92859	26
104250	Mushroom intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mushrooms did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	51552	63556	27
104260	Onion intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of onions (red, white, pickled, shallots, spring) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	84466	115152	28
104270	Parsnip intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of parsnip did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	16063	17448	29
104280	Pea intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of peas (frozen, fresh, tinned) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	51157	61192	30
104290	Sweet pepper intake	0	0	0	21	11	0	0	1	0	0	Whole pepper	100103	100017	1	0	4	0	0	Question asked: "How many whole peppers (sweet) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	58222	74086	31
104300	Spinach intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of spinach did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	20046	23009	32
104310	Sprouts intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of sprouts did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	11560	12305	33
104320	Sweetcorn intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of sweetcorn (tinned or frozen, or corn on the cob) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	19467	21552	34
104330	Sweet potato intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of sweet potatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	8641	9388	35
104340	Fresh tomato intake	0	0	0	21	11	0	0	1	0	0	Medium tomato	100103	100017	1	0	4	0	0	Question asked: "How many medium fresh tomatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	100863	146167	36
104350	Tinned tomato intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of cooked or tinned tomatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	38220	44190	37
104360	Turnip/swede intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of turnip or swede did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	11318	12237	38
104370	Watercress intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of watercress did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	14714	17239	39
104380	Other vegetables intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of other vegetables (e.g. celeriac, asparagus, fennel, aubergine, pumpkin) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14	2012-09-22	22804	26106	40
104400	Fruit consumers	0	0	0	21	11	0	0	1	0	0		100103	100010	1	0	4	0	0	Question asked: "Did you eat any fruit yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Include fresh, frozen, dried, canned or cooked. Help section: Please include all fruit, whether eaten by itself or as part of a sweet or savoury dish (e.g. fruit pie or crumble; pork cooked with apple). Fruits recorded under cooked & dried should not be recorded individually further down the list. Small amounts of fruit that are not big enough to be counted individually, or where the precise type may be unknown (e.g. in a mixed fruit salad), please guess the total amount and record that under Mixed fruit. As canned fruit usually comes in segments or slices, please give your answer in servings rather than as whole fruit. Fruit used in a smoothie should not be recorded here. The fruit smoothie should have been recorded in the drinks section. Chocolate covered fruit (e.g. chocolate raisins) and yogurt covered fruit (e.g. yogurt coated pineapple) should not be recorded here. Instead record it under sweet snacks (several pages earlier). Dried fruit that is included with cereals such as Sultana Bran and Optivita should not be record here because it should have been recorded on the cereals page. If your fruit is not on the list, please record it under Other located at the bottom of the list.</i>	2012-09-14	2012-09-22	211019	458617	42
104410	Stewed fruit intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of stewed/cooked fruit e.g. apple, rhubarb, plums did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	24146	29349	43
104420	Prune intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of prunes did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	13295	18604	44
104430	Dried fruit intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of other dried fruit e.g. raisins, apple rings, cranberries (not with breakfast cereal) did you have?"<p>This question was only asked to participants who reported consuming fruit.<p>If the participant activated the Help feature they were shown the message:<p><i>Fruit recorded here do not need to be recorded individually. Dates should be recorded under dried fruit. This question was only asked to participants who reported consuming fruit.</i>	2012-09-14	2012-09-22	36096	47790	45
104440	Mixed fruit intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of mixed fruit (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.<p>If the participant activated the Help feature they were shown the message:<p><i>Fruit recorded here do not need to be recorded individually. As canned fruit usually comes in segments or slices, please give your answer in servings rather than as whole fruit.</i>	2012-09-14	2012-09-22	20088	23443	46
104450	Apple intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many apples (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	98721	157395	47
104460	Banana intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many bananas did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	118326	197644	48
104470	Berry intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of berries e.g. raspberries, strawberries, blueberries, blackcurrants (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	58730	79591	49
104480	Cherry intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of cherries (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	11335	11949	50
104490	Grapefruit intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of grapefruit (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	10471	14415	51
104500	Grape intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of grapes did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	57305	79303	52
104510	Mango intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of mango (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	9203	10439	53
104520	Melon intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of melon did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	17150	19826	54
104530	Orange intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many oranges (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	38795	52579	55
104540	Satsuma intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of orange-like small fruits e.g. satsuma, clementine, mandarin (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	49822	67206	56
104550	Peach/nectarine intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of peach/nectarine (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	23572	25878	57
104560	Pear intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of pear (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	38406	50422	58
104570	Pineapple intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of pineapple (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	16783	19425	59
104580	Plum intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many plums (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	20397	23491	60
104590	Other fruit intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of other fruit e.g. pomegranate, kiwi, papaya (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14	2012-09-22	18371	21908	61
104660	Added salt to food	0	0	0	21	11	0	0	1	0	0		100110	100010	1	0	4	0	0	Question asked: "Did you add salt to your food? (Do not include salt used in cooking.)"	2012-09-14	2012-09-22	63890	98521	4
104670	Vitamin supplement user	0	0	0	21	11	0	0	1	0	0		100112	100010	1	0	4	0	0	Question asked: "Did you have any vitamin or mineral supplements yesterday? e.g. Vitamin C, multivitamins, fish oil, calcium supplement."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of vitamin and/or mineral supplement, otherwise select the Other category.</i>	2012-09-14	2012-09-22	211019	458617	1
104900	Time spent doing vigorous physical activity	0	0	0	21	11	0	0	1	0	0		100108	100011	1	0	4	0	0	Question asked: "Yesterday, about how long did you spend doing activities that needed vigorous effort, making you breathe hard? For example running, cycling uphill, carrying heavy furniture upstairs, martial arts, competitive sports or intensive exercise."<p>If the participant activated the Help feature they were shown the message:<p><i>Please guess how long you spent in total doing activities requiring vigorous effort yesterday. These types of strenuous activities require a good level of fitness and strength. At work: physically demanding such as carrying heavy objects (e.g. bricks) or carrying moderately heavy objects uphill, up stairs or up ladders, heavy shovelling etc. Running: not slow - 5mph (1 mile in 12 minutes) or faster. Cycling: vigorous effort, reasonably fast or uphill, mountain biking. Sports/exercise: vigorous effort including step aerobics, intensive circuit training, boxing/martial arts, competitively played team games such as football, rock climbing, energetic swimming, energetic skiing (racing, cross-country) etc.</i>	2012-09-14	2012-09-22	211019	458617	1
104910	Time spent doing moderate physical activity	0	0	0	21	11	0	0	1	0	0		100108	100011	1	0	4	0	0	Question asked: "Yesterday, about how long did you spend doing activities that needed moderate effort, making you somewhat short of breath? For example walking upstairs, going to the gym, jogging, energetic dancing, aerobics, most sports, using heavy power tools and other physically demanding DIY & gardening."<p>If the participant activated the Help feature they were shown the message:<p><i>Please guess how long you spent in total doing medium effort activities yesterday. How tired you feel from these types of activities will depend on your individual level of fitness (so a fitter person will not need to breathe as hard as a less fit person). At work: carrying moderately heavy objects, pushing a wheelchair, using heavy power tools, active farm work, taking care of farm animals, coal mining, teaching sports etc. Walking: very brisk walking or walking uphill, walking upstairs, backpacking, marching, power walking, using crutches etc. Jogging: this is defined as running at a gentle pace. Dancing: fast or energetic dancing (not slow ballroom dancing). Cycling: for travelling to work or leisure (not racing or uphill) cycling, also includes unicycling. Sports/exercise: push-ups, weight-lifting, working out in a gym, aerobics, team sports (not competitively played) such as football, golf, horse riding, tennis, track & field, gentle swimming, skiing, ice-skating etc. Gardening: includes energetic tasks such as digging, light to moderate shovelling, mowing the lawn, using heavy power tools, chopping wood etc. DIY/home improvement: includes such fairly demanding tasks such as building a fence, sawing hardwood, cleaning gutters, using heavy power tools, sanding floors etc.</i>	2012-09-14	2012-09-22	211019	458617	2
104920	Time spent doing light physical activity	0	0	0	21	11	0	0	1	0	0		100108	100012	1	0	4	0	0	Question asked: "Yesterday, about how long did you spend doing activities that needed some light effort, involving movement but not making you short of breath? For example shopping, cooking, housework, playing darts/pool/bowls, walking, light exercise like stretching, gentle dancing, caring for people/animals, decorating, light gardening, playing musical instruments."<p>If the participant activated the Help feature they were shown the message:<p><i>Please guess how long you spent in total doing activities requiring relatively little physical effort yesterday. These types of activities should not get you out of breath (or only a little out of breath) but can make you tired if carried out for a long time. Walking: should not get you out of breath, includes walking whilst carrying a child or pushing a buggy, walking about the home, walking about the office, walking for pleasure etc. At work: light carpentry, making beds, cleaning, electrical work, plumbing, painting/decorating, light farming tasks such as harvesting, rounding up cattle/animals, locksmith, machine/equipment operator, assembling/repairing, directing traffic, teaching yoga, bartending, nursing, tailoring, theatre work (acting, working backstage) etc. Housework: includes both light and heavy housework such as cleaning, scrubbing, washing, hanging the washing to dry, vacuuming, ironing, cooking, feeding pets, putting away the shopping, making beds etc. Shopping: food and non-food shopping. Playing musical instruments: playing instruments whilst seated or standing (i.e. not in a marching band). Also includes conducting. Caring: children, sick, elderly, animals. Gardening: watering the plants/lawn, weeding, using a ride-on lawn mower, picking fruit/flowers etc. DIY/home improvement: general carpentry, decorating (painting, putting up wallpaper, plastering, scraping), car repairs, wiring, plumbing etc. Games: darts, snooker/pool, bowling, bowls, croquet, frisbee (gentle/moderate), playing catch, mini golf etc. Dancing: slow dancing that does not get you out of breath. Sports/exercise: activities that should not get you out of breath such as stretching, hatha yoga, horse riding (at walking pace), sailing (not competitive), using power boats etc.</i>	2012-09-14	2012-09-22	211019	458617	3
105010	When diet questionnaire completed	0	0	0	61	0	0	0	1	0	0		100114	0	1	0	4	0	0	This field holds the time at which participants completed the questionnaire by pressing the Confirm button.	2012-09-14	2012-09-19	211022	458620	8
105030	When diet questionnaire started	0	0	0	61	0	0	0	1	0	0		100114	0	1	0	4	0	0	This field holds the time at which participants started the questionnaire as indicated by beginning the first page.	2012-09-14	2012-09-19	211022	458620	10
110001	Invitation to complete online 24-hour recall dietary questionnaire, acceptance	0	0	0	21	11	0	0	1	0	0		100090	100693	1	1	4	0	0	Response to emailed invitation to complete online 24-hour recall dietary questionnaire. There is no data for instance=0 since this was completed as part of the initial assessment centre.	2014-07-02	2014-07-02	330954	1265240	0
110002	Invitation to complete online 24-hour recall dietary questionnaire, date sent	0	0	0	51	0	0	0	1	0	0		100090	0	1	1	4	0	0	Dates that invitations to complete online 24-hour recall dietary questionnaire were emailed to participants. Following an initial ramp-up phase approximately 6000 invitations were emailed each day. The response rate was typically 30-35%. <p> During initial part of the first run of the questionnaire, information was not recorded on participants who did not respond, so the response rate will appear to be 100% for that early period.	2014-07-02	2014-07-02	330954	1265240	0
110003	Invitation to assessment centre, acceptance	0	3	0	21	11	0	0	1	0	0		100021	100693	2	0	0	0	0	Response to invitation to assessment centre	2014-09-08	2000-01-01	-1	-1	0
110005	Invitation to physical activity study, acceptance	0	3	0	21	11	0	0	0	0	0		1008	100693	0	0	0	0	0	Response to invitation to physical activity study using accelerometer.	2014-07-03	2016-01-09	236484	236484	120
110006	Invitation to physical activity study, date sent	0	3	0	51	0	0	0	0	0	0		1008	0	0	0	0	0	0	Date of invitation to physical activity study. The rate of sending email invitations was varied dynamically to achieve a target throughput of 200 devices per day.	2014-07-03	2015-12-05	233462	233462	130
110007	Newsletter communications, date sent	0	3	0	51	0	0	0	0	0	0		2	0	0	0	0	0	0	Newsletters are sent to participants at periodic intervals. This field records the date of dispatch of such communications - note that dispatch does not imply either successful receipt or that a recipient actually read the material sent.	2014-07-17	2000-01-01	-1	-1	130
110008	Invitation to assessment centre, date sent	0	0	0	51	0	0	0	1	0	0		100021	0	2	1	2	0	0	Date of invitation to repeat assessment centre	2014-09-08	2014-09-08	103523	107368	0
