# Characteristics of Our Future Health participants

#### About this document

We have computed the statistics based on the data as it appears in the TRE. We applied statistical
\
disclosure controls to minimise risks of re-identification by combining categories where necessary.
\
Tables are presented with combined data for all versions of the questionnaire, except for Table 9
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(Health characteristics). Other than the question on current health status, Table 9 includes statistics
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for version 2 only. Version 1 of the questionnaire, which was completed by approximately 52,000 of
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1.9 million participants, had a different and smaller set of options for the health history questions, as
\
described in our data dictionary and coding file.

* Table 1 provides information on the data types available in the current data release. 
* Tables 2 and 3 provide summary statistics from demographics and participant geographies.
* Tables 4 to 6 provide summary statistics from the baseline health questionnaire and clinic measurements data on body size variables. 
* Tables 7 to 9 provide summary statistics from the baseline health questionnaire about socioeconomic, lifestyle, and health variables.

We welcome feedback on these tables, which we will use to improve documentation for data releases
\
and other reporting of summary statistics in the future.

Send any feedback to **<Access@ourfuturehealth.org.uk>.**

***

### Table 1: Data availability

<table><thead><tr><th width="514.9921875"></th><th>N</th><th>%</th></tr></thead><tbody><tr><td><strong>Participant data</strong><sup><strong>a</strong></sup></td><td>1,929,744</td><td>100.0</td></tr><tr><td><strong>Baseline questionnaire data</strong><sup><strong>b</strong></sup></td><td>1,929,752</td><td>100.0</td></tr><tr><td><strong>Clinic measurements data</strong><sup><strong>c</strong></sup></td><td>1,456,410</td><td>75.5</td></tr><tr><td><strong>Participant geographies data</strong><sup><strong>d</strong></sup><strong>*</strong></td><td>1,841,458</td><td>95.4</td></tr><tr><td><strong>Genetic data</strong></td><td></td><td></td></tr><tr><td><ul><li>Genotyping array data<sup>e</sup></li></ul></td><td>775,118</td><td>40.2</td></tr><tr><td><ul><li>Imputed genetic data<sup>f</sup>*</li></ul></td><td>550,000</td><td>28.5</td></tr><tr><td><strong>Linked health records data</strong><sup><strong>g</strong></sup></td><td>1,665,668</td><td>86.3</td></tr><tr><td><ul><li>Admitted Patient Care (HES APC)</li></ul></td><td>1,371,821</td><td>71.1</td></tr><tr><td><ul><li>Accident and Emergency (HES A&#x26;E; up to April 2020)</li></ul></td><td>1,175,153</td><td>60.9</td></tr><tr><td><ul><li>Emergency Care Dataset (ECDS; April 2020 onwards)</li></ul></td><td>976,181</td><td>50.6</td></tr><tr><td><ul><li>Outpatient (HES OP)</li></ul></td><td>1,592,211</td><td>82.5</td></tr><tr><td><ul><li>Office of National Statistics (ONS) Death Registration</li></ul></td><td>4,613</td><td>0.2</td></tr><tr><td><ul><li>National Disease Registration Service (NDRS) Cancer Pathways</li></ul></td><td>88,877</td><td>4.6</td></tr><tr><td><ul><li>NDRS Cancer Registry Patient Tumour</li></ul></td><td>144,104</td><td>7.5</td></tr><tr><td><ul><li>NDRS Cancer Registry Treatment</li></ul></td><td>120,900</td><td>6.3</td></tr><tr><td><ul><li>NHS Medicines Dispensed in Primary Care*</li></ul></td><td>1,572,607</td><td>81.5</td></tr></tbody></table>

N: total number of participants with available data of the given type.
\
%: percentage of total participants with available data of the given type.

\* New datasets in release 13.

<sup>a</sup> The participant data includes information on sex, gender, ethnicity, month and year of birth, consent version, month and year of consent, month and year of
&#x20;registration and blood sample. Due to slightly different timings of data exports and processing withdrawals, a small
&#x20;number of participants may not have a record in the 'Participant data' table. The  data for these
&#x20;participants will be removed in the next release.

<sup>b</sup> The questionnaire data includes responses from participants who have completed all five sections: about you, work and education, lifestyle, family health history,
&#x20;and health history. The data captures all responses from both version 1 and version 2 of the questionnaire.&#x20;

<sup>c</sup> The clinic measurements data includes information on baseline physical measurements (height and weight, waist circumference, heart rate and rhythm, and
&#x20;blood pressure) taken by trained staff when participants attend their appointment.
&#x20;     &#x20;

<sup>d</sup> The participant geographies data includes the country and region, Lower Super Output Area (England & Wales), Middle Super Output Area (England & Wales), and Intermediate Zones (Scotland), corresponding to each participant’s home address at registration.&#x20;

<sup>e</sup> The genotyping array data is organised in 3 categories of files: 2 sets of files containing participant genotypes (pVCF and BGEN format), and one file containing
&#x20;sample-level information.

<sup>f</sup> Particpants with imputed genetic data are not an exact subset of the participants with genotyping array data.

<sup>g</sup> The number of participants who have at least one record in one or more of the linked health data tables: Admitted Patient Care (HES APC), Accident and
&#x20;Emergency (HES A\&E), Emergency Care Dataset (ECDS), Outpatient (HES OP), Office of National Statistics (ONS) Death Registration, National Disease Registration&#x20;
Service (NDRS) Cancer Pathways, NDRS Cancer Registry Patient Tumour, and NDRS Cancer Registry Treatment. The HES A\&E resource was retired in March 2020 and
&#x20;the ECDS resource is a continuation of this dataset from April 2020 to the present. <br>

***

## Cohort characteristics

### Table 2: Demographic characteristics of Our Future Health and the 2021/2022 UK Censuses

<table><thead><tr><th width="266.328125"></th><th width="276.02734375">Baseline questionnaire data N (%)</th><th>UK Census 2021/2022*</th></tr></thead><tbody><tr><td><strong>Total</strong></td><td>1,929,744 (100%)</td><td>100%</td></tr><tr><td><strong>Sex</strong><sup><strong>a</strong></sup></td><td></td><td></td></tr><tr><td><ul><li>Female</li></ul></td><td>1,105,287 (57.3%)</td><td>51.7%</td></tr><tr><td><ul><li>Male</li></ul></td><td>823,244 (42.7%)</td><td>48.3%</td></tr><tr><td><ul><li>Intersex/other/prefer not to answer</li></ul></td><td>1,213 (&#x3C;0.1%)</td><td>N/A</td></tr><tr><td><strong>Age (years)</strong><sup><strong>b</strong></sup></td><td></td><td></td></tr><tr><td><ul><li>18-29</li></ul></td><td>183,950 (9.5%)</td><td>18.7%</td></tr><tr><td><ul><li>30-39</li></ul></td><td>287,511 (14.9%)</td><td>17.1%</td></tr><tr><td><ul><li>40-49</li></ul></td><td>305,937 (15.9%)</td><td>15.9%</td></tr><tr><td><ul><li>50-59</li></ul></td><td>413,188 (21.4%)</td><td>17.3%</td></tr><tr><td><ul><li>60-69</li></ul></td><td>442,302 (22.9%)</td><td>13.7%</td></tr><tr><td><ul><li>70-79</li></ul></td><td>253,972 (13.2%)</td><td>11.0%</td></tr><tr><td><ul><li>80+</li></ul></td><td>42,884 (2.2%)</td><td>6.3%</td></tr><tr><td><strong>Ethnicity</strong><sup><strong>c</strong></sup></td><td></td><td></td></tr><tr><td><ul><li>Asian Bangladeshi</li></ul></td><td>4,521 (0.2%)</td><td>0.8%</td></tr><tr><td><ul><li>Asian Indian</li></ul></td><td>49,631 (2.6%)</td><td>2.8%</td></tr><tr><td><ul><li>Asian Pakistani</li></ul></td><td>14,001 (0.7%)</td><td>2.1%</td></tr><tr><td><ul><li>Chinese</li></ul></td><td>20,485 (1.1%)</td><td>0.8%</td></tr><tr><td><ul><li>Other Asian</li></ul></td><td>17,871 (0.9%)</td><td>1.4%</td></tr><tr><td><ul><li>Black African</li></ul></td><td>18,431 (1.0%)</td><td>2.0%</td></tr><tr><td><ul><li>Black Caribbean</li></ul></td><td>7,863 (0.4%)</td><td>1.0%</td></tr><tr><td><ul><li>Other Black</li></ul></td><td>3,646 (0.2%)</td><td>0.3%</td></tr><tr><td><ul><li>White British</li></ul></td><td>1,572,868 (81.5%)</td><td>77.7%</td></tr><tr><td><ul><li>Irish</li></ul></td><td>25,192 (1.3%)</td><td>7.4%</td></tr><tr><td><ul><li>Polish</li></ul></td><td>19,259 (1.0%)</td><td>7.4%</td></tr><tr><td><ul><li>Other White</li></ul></td><td>114,636 (5.9%)</td><td>7.4%</td></tr><tr><td><ul><li>Arab</li></ul></td><td>4,793 (0.2%)</td><td>0.5%</td></tr><tr><td><ul><li>Any other</li></ul></td><td>18,607 (1.0%)</td><td>1.4%</td></tr><tr><td><ul><li>Mixed</li></ul></td><td>33,821 (1.8%)</td><td>1.8%</td></tr><tr><td><ul><li>Prefer not to answer</li></ul></td><td>4,118 (0.2%)</td><td>N/A</td></tr></tbody></table>

N: total number of participants that fall within the given category.&#x20;

%: percentage of total participants that fall within the given category.&#x20;

<sup>a</sup> Reported sex registered at birth (DEMOG\_SEX\_1\_1 in v1 of the questionnaire, and DEMOG\_SEX\_2\_1 in v2). Response options differed between questionnaire versions in that “Other” in v1 was replaced by “Intersex” in v2.&#x20;

<sup>b</sup> Derived from date of questionnaire submission and year/month of birth only (Variable names: SUBMISSION\_DATE, and BIRTH\_YEAR, BIRTH\_ MONTH).&#x20;

<sup>c</sup> Higher level ethnic groups (Variable name: DEMOG\_ETHNICITY\_1\_1). Missing data for 1 participant due to technical data loss prior to October 2022. For more information, see our Data Release Documentation.&#x20;

Other Asian: any other Asian or Asian British background.&#x20;

Other Black: Any other Black / African / Caribbean background.&#x20;

White British: White - English / Welsh / Scottish / Northern Irish / British.&#x20;

Other White: any other White background.&#x20;

Any other: any other ethnicity.&#x20;

Mixed: includes Mixed White and Black Caribbean; Mixed White and Black African; Mixed White and Asian; Any other mixed multiple ethnic background.

\*Combined census data for adults (≥18 years) in England, Wales and Northern Ireland (2021) and Scotland (2022). If NA, data for the category was not available.

***

### Table 3: Participant country and region at registration

<table><thead><tr><th width="276.09375"></th><th width="270.6029052734375">Participant geographies data: N (%)</th><th>UK Census 2021/2022*</th></tr></thead><tbody><tr><td><strong>Total</strong></td><td>1,841,458 (100%)</td><td>100% </td></tr><tr><td><em>Country </em><sup><em>a</em></sup><em> / region </em><sup><em>b</em></sup></td><td></td><td></td></tr><tr><td><strong>England (E92000001)</strong></td><td>1,798,440 (97.7%)</td><td>84.2%</td></tr><tr><td><ul><li>North England (TLC)</li></ul></td><td>93,472 (5.1%)</td><td>4.0%</td></tr><tr><td><ul><li>North West England (TLD)</li></ul></td><td>223,245 (12.1%)</td><td>11.0%</td></tr><tr><td><ul><li>Yorkshire and The Humber (TLE)</li></ul></td><td>193,770 (10.5%)</td><td>8.2%</td></tr><tr><td><ul><li>East Midlands England (TLF)</li></ul></td><td>157,638 (8.6%)</td><td>7.3%</td></tr><tr><td><ul><li>West Midlands England (TLG)</li></ul></td><td>185,423 (10.1%)</td><td>8.8%</td></tr><tr><td><ul><li>East England (TLH)</li></ul></td><td>192,871 (10.5%)</td><td>9.4%</td></tr><tr><td><ul><li>London (TLI)</li></ul></td><td>244,593 (13.3%)</td><td>13.0%</td></tr><tr><td><ul><li>South East England (TLJ)</li></ul></td><td>303,543 (16.5%)</td><td>13.8%</td></tr><tr><td><ul><li>South West England (TLK)</li></ul></td><td>203,885 (11.1%)</td><td>8.7%</td></tr><tr><td><strong>Northern Ireland (N92000002 / TLN)**</strong></td><td>0 (0%)</td><td>2.8%</td></tr><tr><td><strong>Scotland (S92000003 / TLM)</strong></td><td>28,235 (1.5%)</td><td>8.4%</td></tr><tr><td><strong>Wales (W92000004 / TLL)</strong></td><td>14,783 (0.8%)</td><td>4.7%</td></tr></tbody></table>

N: total number of participants that fall within the given category.&#x20;

%: percentage of total participants that fall within the given category.&#x20;

<sup>a</sup> Variable name: COUNTRY\_AT\_REG.&#x20;

<sup>b</sup> Variable name: REGION\_AT\_REG.&#x20;

\* Combined census data for adults (≥18 years) in England, Wales and Northern Ireland (2021) and Scotland (2022).

\*\* We will be making geographical data for Northern Ireland available in future data releases.

***

### Table 4: Self-reported height, weight, and derived Body Mass Index

|                                 | Total            | Femaleᵃ          | Maleª          |
| ------------------------------- | ---------------- | ---------------- | -------------- |
| **Weight (kg)**<sup>**b**</sup> | **N:** 1,784,990 | **N:** 1,006,759 | **N:** 777,459 |
| <ul><li>Mean \[SD]</li></ul>    | 77.5 \[18.0]     | 71.4 \[16.9]     | 85.4 \[16.3]   |
| **Height (cm)**<sup>**c**</sup> | **N:** 1,885,459 | **N:** 1,078,140 | **N:** 806,472 |
| <ul><li>Mean \[SD]</li></ul>    | 169.9 \[9.9]     | 164.0 \[6.9]     | 177.8 \[7.3]   |
| **BMI (kg/m2)**<sup>**d**</sup> | **N:** 1,767,467 | **N:** 996,126   | **N:** 770,603 |
| <ul><li>Mean \[SD]</li></ul>    | 26.7 \[5.6]      | 26.6 \[6.1]      | 27.0 \[4.9]    |

N: total number of participants that fall within the given category without missing data.&#x20;

SD: Standard Deviation&#x20;

<sup>a</sup> Based on reported sex registered at birth (DEMOG\_SEX\_1\_1 in v1 of the questionnaire, and DEMOG\_SEX\_2\_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.&#x20;

<sup>b</sup> Variable name: DEMOG\_WEIGHT\_1\_1. Extreme values were removed to produce this table (Min 20kg and max 400kg).&#x20;

<sup>c</sup> Variable name: DEMOG\_HEIGHT\_1\_1. Extreme values were removed to produce this table (Min 90cm and max 299cm).&#x20;

<sup>d</sup> BMI calculated as weight (kg) / height (cm)2.

***

### Table 5: **Anthropometry measurements** from clinic appointment

<table><thead><tr><th width="211"></th><th>Total</th><th>Femaleᵃ</th><th>Maleᵃ</th></tr></thead><tbody><tr><td><strong>Weight (kg) </strong><sup><strong>b</strong></sup></td><td><strong>N:</strong> 1,454,377</td><td><strong>N:</strong> 811,617</td><td><strong>N:</strong> 641,922</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>78.2 [17.5]</td><td>72.0 [16.2]</td><td>86.1 [15.7]</td></tr><tr><td><strong>Height (cm) </strong><sup><strong>c</strong></sup></td><td><strong>N:</strong> 1,453,958</td><td><strong>N:</strong> 811,601</td><td><strong>N:</strong> 641,517</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>169.0 [9.6]</td><td>163.2 [6.8]</td><td>176.4 [7.4]</td></tr><tr><td><strong>BMI (kg/m2) </strong><sup><strong>d</strong></sup></td><td><strong>N:</strong> 1,453,064</td><td><strong>N:</strong> 810,874</td><td><strong>N:</strong> 641,353</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>27.3 [5.6]</td><td>27.0 [6.0]</td><td>27.7 [5.0]</td></tr><tr><td><strong>Waist circumference (cm) </strong><sup><strong>e</strong></sup></td><td><strong>N:</strong> 1,451,563</td><td><strong>N:</strong> 809,969</td><td><strong>N:</strong> 640,758</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>90.2 [14.9]</td><td>85.4 [14.4]</td><td>96.3 [13.3]</td></tr></tbody></table>

N: total number of participants that fall within the given category without missing data.&#x20;

SD: Standard Deviation&#x20;

<sup>a</sup> Based on reported sex registered at birth (DEMOG\_SEX\_1\_1 in v1 of the questionnaire, and DEMOG\_SEX\_2\_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.&#x20;

<sup>b</sup> Variable name: WEIGHT.&#x20;

<sup>c</sup> Variable name: HEIGHT.&#x20;

<sup>d</sup> BMI calculated as weight (kg) / height (cm)<sup>2</sup>.&#x20;

<sup>e</sup> Variable name: WAIST.

***

### Table 6: Heart measurements from clinic appointment

<table><thead><tr><th width="237"></th><th>Total</th><th>Femaleᵃ</th><th>Maleᵃ</th></tr></thead><tbody><tr><td><strong>Systolic BP, (mmHg)</strong><sup><strong>b</strong></sup></td><td></td><td></td><td></td></tr><tr><td><em>1st Reading</em></td><td><strong>N:</strong> 1,453,854</td><td><strong>N:</strong> 811,325</td><td><strong>N:</strong> 641,690</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>1,572,607</td><td>127.4 [18.9]</td><td>136.6 [17.5]</td></tr><tr><td><em>2nd Reading</em></td><td><strong>N:</strong> 1,451,687</td><td><strong>N:</strong> 809,903</td><td><strong>N:</strong> 640,947</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>126.6 [17.5]</td><td>122.4 [17.5]</td><td>131.9 [16.1]</td></tr><tr><td><em>3rd Reading*</em></td><td><strong>N:</strong> 125,006</td><td><strong>N:</strong> 52,693</td><td><strong>N:</strong> 72,245</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>135.1 [23.0]</td><td>131.3 [25.2]</td><td>137.8 [20.7]</td></tr><tr><td><strong>Diastolic BP, (mmHg)</strong><sup><strong>c</strong></sup></td><td></td><td></td><td></td></tr><tr><td><em>1st Reading</em></td><td><strong>N:</strong> 1,453,854</td><td><strong>N:</strong> 811,325</td><td><strong>N:</strong> 641,690</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>81.3 [10.7]</td><td>79.9 [10.5]</td><td>83.2 [10.6]</td></tr><tr><td><em>2nd Reading</em></td><td><strong>N:</strong> 1,451,687</td><td><strong>N:</strong> 809,903</td><td><strong>N:</strong> 640,947</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>80.1 [10.4]</td><td>78.5 [10.1]</td><td>82.0 [10.4]</td></tr><tr><td><em>3rd Reading*</em></td><td><strong>N:</strong> 125,006</td><td><strong>N:</strong> 52,693</td><td><strong>N:</strong> 72,245</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>83.1 [13.1]</td><td>81.7 [13.2]</td><td>84.0 [12.9]</td></tr><tr><td><strong>Heart rate, (bpm)</strong><sup><strong>d</strong></sup></td><td></td><td></td><td></td></tr><tr><td><em>1st Reading</em></td><td><strong>N:</strong> 1,453,854</td><td><strong>N:</strong> 811,325</td><td><strong>N:</strong> 641,690</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>73.6 [13.0]</td><td>75.0 [12.4]</td><td>71.8 [13.5]</td></tr><tr><td><em>2nd Reading</em></td><td><strong>N:</strong> 1,451,687</td><td><strong>N:</strong> 809,903</td><td><strong>N:</strong> 640,947</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>73.0 [12.5]</td><td>74.4 [12.0]</td><td>71.1 [13.0]</td></tr><tr><td><em>3rd Reading*</em></td><td><strong>N:</strong> 125,006</td><td><strong>N:</strong> 52,693</td><td><strong>N:</strong> 72,245</td></tr><tr><td><ul><li>Mean [SD]</li></ul></td><td>66.6 [18.5]</td><td>70.2 [19.6]</td><td>63.9 [17.2]</td></tr></tbody></table>

N: total number of participants that fall within the given category without missing data.&#x20;

SD: Standard Deviation&#x20;

<sup>a</sup> Based on reported sex registered at birth (DEMOG\_SEX\_1\_1 in v1 of the questionnaire, and DEMOG\_SEX\_2\_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.&#x20;

<sup>b</sup> Variable names: HEART\_FIRST\_BP\_SYSTOLIC, HEART\_SECOND\_BP\_SYSTOLIC, and HEART\_THIRD\_BP\_SYSTOLIC.&#x20;

<sup>c</sup> Variable names: HEART\_FIRST\_BP\_DIASTOLIC, HEART\_SECOND\_BP\_DIASTOLIC, and HEART\_THIRD\_BP\_DIASTOLIC.&#x20;

<sup>d</sup> Variable names: HEART\_FIRST\_RATE, HEART\_SECOND\_RATE, and HEART\_THIRD\_RATE.

\* Third readings for heart measures are obtained only in v2 of the clinic measurements process and if at least one of the following criteria is met: SBP readings 1 and 2 are either both greater than or equal to 160 mmHg or both less than 90 mmHg; or Heart rate readings 1 and 2 are either both greater than or equal to 100 bpm or both less than 60 bpm, or Heart rhythm readings 1 and 2 are both “irregular”.&#x20;

***

### Table 7: Socioeconomic characteristics

<table><thead><tr><th width="267.84765625"></th><th width="151.0234375">Total: N (%)</th><th width="167.33721923828125">Femaleᵃ: N (%)</th><th>Maleᵃ: N (%)</th></tr></thead><tbody><tr><td><strong>Total (N)</strong></td><td>1,929,744</td><td>1,105,287</td><td>823,244</td></tr><tr><td><strong>Annual household income </strong><sup><strong>b</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>&#x3C;£18,000</li></ul></td><td>183,550 (9.5%)</td><td>119,287 (10.8%)</td><td>64,137 (7.8%)</td></tr><tr><td><ul><li>£18,000 to £30,999</li></ul></td><td>292,486 (15.2%)</td><td>173,399 (15.7%)</td><td>118,955 (14.4%)</td></tr><tr><td><ul><li>£31,000 to £51,999</li></ul></td><td>394,984 (20.5%)</td><td>220,955 (20.0%)</td><td>173,896 (21.1%)</td></tr><tr><td><ul><li>£52,000 to £100,000</li></ul></td><td>500,508 (25.9%)</td><td>271,810 (24.6%)</td><td>228,579 (27.8%)</td></tr><tr><td><ul><li>>£100,000</li></ul></td><td>243,291 (12.6%) </td><td>122,414 (11.1%)</td><td>120,821 (14.7%)</td></tr><tr><td><ul><li>Do not know/prefer not to answer</li></ul></td><td>314,925 (16.3%)</td><td>197,422 (17.9%)</td><td>116,856 (14.2%)</td></tr><tr><td><strong>Qualifications (highest level) </strong><sup><strong>c</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>College or university degree</li></ul></td><td>998,613 (51.7%)</td><td>580,394 (52.5%)</td><td>417,776 (50.7%)</td></tr><tr><td><ul><li>A-levels/AS-levels/BTEC or equivalent</li></ul></td><td>316,914 (16.4%)</td><td>180,375 (16.3%)</td><td>136,398 (16.6%)</td></tr><tr><td><ul><li>O-levels, GCSEs or equivalent</li></ul></td><td>298,153 (15.5%)</td><td>177,576 (16.1%)</td><td>120,483 (14.6%)</td></tr><tr><td><ul><li>CSEs or equivalent</li></ul></td><td>80,914 (4.2%)</td><td>44,031 (4.0%)</td><td>36,862 (4.5%)</td></tr><tr><td><ul><li>NVQ, HND or HNC or equivalent</li></ul></td><td>68,769 (3.6%)</td><td>32,144 (2.9%)</td><td>36,594 (4.4%)</td></tr><tr><td><ul><li>Other professional qualifications eg nursing, teaching</li></ul></td><td>43,820 (2.3%)</td><td>26,640 (2.4%)</td><td>17,160 (2.1%)</td></tr><tr><td><ul><li>None of the above</li></ul></td><td>92,987 (4.8%)</td><td>48,355 (4.4%)</td><td>44,560 (5.4%)</td></tr><tr><td><ul><li>Prefer not to answer/Missing</li></ul></td><td>29,574 (1.5%)</td><td>15,772 (1.4%)</td><td>13,411 (1.6%)</td></tr><tr><td><strong>Employment status </strong><sup><strong>d</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>Full or part-time student</li></ul></td><td>60,458 (3.1%)</td><td>42,321 (3.8%)</td><td>18,078 (2.2%)</td></tr><tr><td><ul><li>In paid employment or self-employed</li></ul></td><td>1,183,598 (61.3%)</td><td>685,280 (62.0%)</td><td>497,856 (60.5%)</td></tr><tr><td><ul><li>Looking after home and/or family</li></ul></td><td>67,390 (3.5%)</td><td>58,434 (5.3%)</td><td>8,928 (1.1%)</td></tr><tr><td><ul><li>On paid leave</li></ul></td><td>10,688 (0.6%)</td><td>9,551 (0.9%)</td><td>1,130 (0.1%)</td></tr><tr><td><ul><li>Retired</li></ul></td><td>578,690 (30.0%)</td><td>298,399 (27.0%)</td><td>280,065 (34.0%)</td></tr><tr><td><ul><li>Unable to work because of sickness or disability</li></ul></td><td>55,936 (2.9%)</td><td>36,432 (3.3%)</td><td>19,417 (2.4%)</td></tr><tr><td><ul><li>Unemployed</li></ul></td><td>36,110 (1.9%)</td><td>20,533 (1.9%)</td><td>15,531 (1.9%)</td></tr><tr><td><ul><li>Unpaid or voluntary work/unpaid carer</li></ul></td><td> 74,393 (3.9%)</td><td>50,999 (4.6%)</td><td>23,352 (2.8%)</td></tr><tr><td><ul><li>None of the above/prefer not to answer</li></ul></td><td>17,448 (0.9%)</td><td>9,832 (0.9%)</td><td>7,261 (0.9%)</td></tr></tbody></table>

N: total number of participants that fall within the given category.&#x20;

%: percentage of total participants that fall within the given category.&#x20;

<sup>a</sup> Based on reported sex registered at birth (DEMOG\_SEX\_1\_1 in v1 of the questionnaire, and DEMOG\_SEX\_2\_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.&#x20;

<sup>b</sup> Variable name: HOUSING\_INCOME\_1\_1.

<sup>c</sup> UK-specific qualifications (or equivalent): A levels and AS levels are generally obtained when leaving secondary school around 18 years of age; GCSEs and now-obsolete O levels and CSEs are generally obtained during secondary school around 16 years of age; NVQs, HNDs and HNCs are work-based, vocational qualifications. Variable name: EDU\_QUAL\_1\_M.&#x20;

<sup>d</sup> Variable names: WORK\_STATUS\_1\_M and WORK\_STATUS\_2\_M. Counts do not sum to their corresponding totals because participants can select multiple answers.

***

### Table 8: Lifestyle characteristics

<table><thead><tr><th width="200.33331298828125"></th><th>Total: N (%)</th><th>Femaleᵃ: N (%)</th><th>Maleᵃ: N (%)</th></tr></thead><tbody><tr><td><strong>Total (N)</strong></td><td>1,929,744</td><td>1,105,287</td><td>823,244</td></tr><tr><td><strong>Physical activity </strong><sup><strong>b</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>>4 times a week walk for at least 10 minutes</li></ul></td><td>1,544,345 (80.0%)</td><td>885,814 (80.1%)</td><td>657,884 (79.9%)</td></tr><tr><td><ul><li>>4 times a week moderate physical activity</li></ul></td><td>942,696 (48.9%)</td><td>524,322 (47.4%)</td><td>417,979 (50.8%)</td></tr><tr><td><ul><li>>4 times a week vigorous physical activity</li></ul></td><td>425,989 (22.1%)</td><td>214,980 (19.5%)</td><td>210,816 (25.6%)</td></tr><tr><td><strong>Cigarette smoking status </strong><sup><strong>c</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>Current smoker</li></ul></td><td>133,755 (6.9%)</td><td>72,628 (6.6%)</td><td>61,025 (7.4%)</td></tr><tr><td><ul><li>Former smoker</li></ul></td><td>561,052 (29.1%)</td><td>304,317 (27.5%)</td><td>256,505 (31.2%)</td></tr><tr><td><ul><li>Never-smoker</li></ul></td><td>1,201,288 (62.3%)</td><td>710,813 (64.3%)</td><td>489,888 (59.5%)</td></tr><tr><td><ul><li>Prefer not to answer / Missing / Unknown</li></ul></td><td>33,649 (1.7%)</td><td>17,529 (1.6%)</td><td>15,826 (1.9%)</td></tr><tr><td><strong>E-cigarette status (vaping) </strong><sup><strong>d</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>Ever used</li></ul></td><td>312,091 (16.2%)</td><td>178,773 (16.2%)</td><td>133,149 (16.2%)</td></tr><tr><td><ul><li>Never used</li></ul></td><td>1,602,886 (83.1%)</td><td>918,988 (83.1%)</td><td>683,126 (83.0%)</td></tr><tr><td><ul><li>Prefer not to answer</li></ul></td><td>14,767 (0.8%)</td><td>7,526 (0.7%)</td><td>6,969 (0.8%)</td></tr><tr><td><strong>Alcohol consumption </strong><sup><strong>e</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>Daily or almost daily</li></ul></td><td>179,408 (9.3%)</td><td>76,796 (6.9%)</td><td>102,537 (12.5%)</td></tr><tr><td><ul><li>3 to 4 times a week</li></ul></td><td>367,247 (19.0%)</td><td>179,559 (16.2%)</td><td>187,561 (22.8%)</td></tr><tr><td><ul><li>1 to 2 times a week</li></ul></td><td>504,617 (26.1%)</td><td>275,708 (24.9%)</td><td>228,712 (27.8%)</td></tr><tr><td><ul><li>1 to 3 times a month</li></ul></td><td>305,172(15.8%)</td><td>191,609 (17.3%)</td><td>113,438 (13.8%)</td></tr><tr><td><ul><li>Special occasions</li></ul></td><td>355,826 (18.4%)</td><td>247,157 (22.4%)</td><td>108,472 (13.2%)</td></tr><tr><td><ul><li>Never</li></ul></td><td>209,490 (10.9%)</td><td>130,790 (11.8%)</td><td>78,485 (9.5%)</td></tr><tr><td><ul><li>Prefer not to answer</li></ul></td><td>7,984 (0.4%)</td><td>3,668 (0.3%)</td><td>4,039 (0.5%)</td></tr></tbody></table>

N: total number of participants that fall within the given category.&#x20;

%: percentage of total participants that fall within the given category.&#x20;

<sup>a</sup> Based on reported sex registered at birth (DEMOG\_SEX\_1\_1 in v1 of the questionnaire, and DEMOG\_SEX\_2\_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.&#x20;

<sup>b</sup> Variable names: For version 1: ACTIVITY\_WALK\_DAYS\_1\_1, ACTIVITY\_MOD\_DAYS\_1\_1, and ACTIVITY\_VIG\_DAYS\_1\_1; and for version 2: ACTIVITY\_WALK\_DAYS\_2\_1, ACTIVITY\_MOD\_DAYS\_2\_1, and ACTIVITY\_VIG\_DAYS\_2\_1.&#x20;

<sup>c</sup> Individuals who currently smoke cigarettes at any frequency (all/most days/occasionally) are considered current smokers. Individuals who do not currently smoke and have never smoked or smoked on fewer than 100 occasions in their lifetime are considered never smokers (including if they have smoked anything other than cigarettes). Individuals who currently do not smoke cigarettes but smoked on all or most days in the past or smoked on more than 100 occasions in their lifetime are considered former smokers. For version 1 questionnaires, based on variables: SMOKE\_STATUS\_1\_1, SMOKE\_TOBACCO\_PREV\_1\_1, and SMOKE\_100\_TIMES\_1\_1. For version 2 questionnaires, based on variables: SMOKE\_TOBACCO\_TYPE\_1\_M, SMOKE\_REG\_1\_M, SMOKE\_STATUS\_2\_1, and SMOKE\_100\_TIMES\_2\_1.&#x20;

<sup>d</sup> Variable names: For version 1 questionnaires SMOKE\_VAPE\_1\_2 and for version 2 questionnaires SMOKE\_TOBACCO\_TYPE\_1\_M.&#x20;

<sup>e</sup> Variable name: ALCOHOL\_CURR\_1\_1.

***

### Table 9: Health characteristics

<table><thead><tr><th width="262.81512451171875">Version 1 and 2 of questionnaire</th><th width="168.67578125">Total: N (%)</th><th width="147.9375">Femaleᵃ: N (%)</th><th>Maleᵃ: N (%)</th></tr></thead><tbody><tr><td><strong>Total (N)</strong></td><td>1,929,744</td><td>1,105,287</td><td>823,244</td></tr><tr><td><strong>Current health status</strong><sup><strong>b</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>Poor</li></ul></td><td>108,453 (5.6%)</td><td>65,403 (5.9%)</td><td>42,936 (5.2%)</td></tr><tr><td><ul><li>Fair</li></ul></td><td>467,333 (24.2%)</td><td>263,415 (23.8%)</td><td>203,626 (24.7%)</td></tr><tr><td><ul><li>Good</li></ul></td><td>1,064,020 (55.1%)</td><td>612,025 (55.4%)</td><td>451,548 (54.8%)</td></tr><tr><td><ul><li>Excellent</li></ul></td><td>279,453 (14.5%)</td><td>158,600 (14.3%)</td><td>120,752 (14.7%)</td></tr><tr><td><ul><li>Do not know / Prefer not to answer</li></ul></td><td>10,485 (0.5%)</td><td>5,844 (0.5%)</td><td>4,382 (0.5%)</td></tr></tbody></table>

<table><thead><tr><th width="258.7330322265625">Version 2 of questionnaire</th><th>Total: N (%)</th><th>Femaleᵃ: N (%) </th><th>Maleᵃ: N (%)</th></tr></thead><tbody><tr><td><strong>Total (N)</strong></td><td>1,876,964</td><td>1,075,532</td><td>800,249</td></tr><tr><td><strong>Any long-standing physical or mental health conditions or illnesses</strong><sup><strong>c</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>Yes</li></ul></td><td>801,905 (42.7%)</td><td>480,177 (44.6%)</td><td>321,269 (40.1%)</td></tr><tr><td><ul><li>No</li></ul></td><td>1,001,797 (53.4%)</td><td>551,243 (51.3%)</td><td>450,170 (56.3%)</td></tr><tr><td><ul><li>Do not know / Prefer not to answer</li></ul></td><td>73,262 (3.9%)</td><td>44,112 (4.1%)</td><td>28 810 (3.6%)</td></tr><tr><td><strong>Medical conditions</strong><sup><strong>d</strong></sup></td><td></td><td></td><td></td></tr><tr><td><ul><li>Autoimmune disorder</li></ul></td><td>100,015 (5.3%)</td><td>74,587 (6.9%)</td><td>25,381 (3.2%)</td></tr><tr><td><ul><li>Blood disorders (anaemia)</li></ul></td><td>136,641 (7.3%)</td><td>114,847 (10.7%)</td><td>21,732 (2.7%)</td></tr><tr><td><ul><li>Cancer</li></ul></td><td>144,115 (7.7%)</td><td>81,242 (7.6%)</td><td>62,830 (7.9%)</td></tr><tr><td><ul><li>Complications or difficulties in pregnancy or childbirth</li></ul></td><td>119,608 (6.4%)</td><td>119,132 (11.1%)</td><td>461 (0.1%)</td></tr><tr><td><ul><li>Digestive system or liver problems</li></ul></td><td>226,958 (12.1%)</td><td>140,894 (13.1%)</td><td>85,969 (10.7%)</td></tr><tr><td><ul><li>Endocrine, nutritional and metabolic disorders (e.g., diabetes, thyroid disorder, vitamin deficiencies)</li></ul></td><td>201,295 (10.7%)</td><td>148,176 (13.8%)</td><td>53,023 (6.6%)</td></tr><tr><td><ul><li>Eye or visual problems</li></ul></td><td>338,167 (18.0%)</td><td>186,180 (17.3%)</td><td>151,813 (19.0%)</td></tr><tr><td><ul><li>Fractures, breaks, or joint problems</li></ul></td><td>429,710 (22.9%)</td><td>244,540 (22.7%)</td><td>185,000 (23.1%)</td></tr><tr><td><ul><li>Heart or circulatory disease (e.g., high blood pressure or stroke)</li></ul></td><td>303,591 (16.2%)</td><td>141,605 (13.2%)</td><td>161,856 (20.2%)</td></tr><tr><td><ul><li>Kidney or urinary system disorders</li></ul></td><td>116,853 (6.2%)</td><td>62,040 (5.8%)</td><td>54,754 (6.8%)</td></tr><tr><td><ul><li>Lung or respiratory problems</li></ul></td><td>206,388 (11.0%)</td><td>120,607 (11.2%)</td><td>85,680 (10.7%)</td></tr><tr><td><ul><li>Mental health conditions (e.g., depression, bipolar disorder)</li></ul></td><td>375,072 (20.0%)</td><td>261,861 (24.3%)</td><td>112,966 (14.1%)</td></tr><tr><td><ul><li>Neurodevelopmental conditions (e.g., Autism Spectrum Disorder, ADHD)</li></ul></td><td>42,795 (2.3%)</td><td>27,144 (2.5%)</td><td>15,551 (1.9%)</td></tr><tr><td><ul><li>Neurological disorders (e.g., epilepsy)</li></ul></td><td>46,973 (2.5%)</td><td>29,900 (2.8%)</td><td>17,032 (2.1%)</td></tr><tr><td><ul><li>Reproductive system problems</li></ul></td><td>113,340 (6.0%)</td><td>99,078 (9.2%)</td><td>14,229 (1.8%)</td></tr><tr><td><ul><li>Other</li></ul></td><td>126,280 (6.7%)</td><td>72,029 (6.7%)</td><td>54,178 (6.8%)</td></tr><tr><td><ul><li>None of the above</li></ul></td><td>487,384 (26.0%)</td><td>255,452 (23.8%)</td><td>231,710 (29.0%)</td></tr><tr><td><ul><li>Don't know</li></ul></td><td>16,354 (0.9%)</td><td>8,290 (0.8%)</td><td>8,012 (1.0%)</td></tr><tr><td><ul><li>Prefer not to answer</li></ul></td><td>7,581 (0.4%)</td><td>3,740 (0.3%)</td><td>3,554 (0.4%)</td></tr></tbody></table>

N: total number of participants that fall within the given category.&#x20;

%: percentage of total participants that fall within the given category.&#x20;

<sup>a</sup> Based on reported sex registered at birth (DEMOG\_SEX\_1\_1 in v1 of the questionnaire, and DEMOG\_SEX\_2\_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.&#x20;

<sup>b</sup> Variable name: HEALTH\_STATUS\_CURR\_1\_1. Missing data for 1 participant due to technical data loss prior to October 2022. For more information, see our Release 12 Documentation.&#x20;

<sup>c</sup> Variable name: HEALTH\_STATUS\_CHRONIC\_1\_1. Version 2 of questionnaire only.&#x20;

<sup>d</sup> Responses to the question (Version 2 of questionnaire only), “Have you ever been diagnosed with any of the following by a doctor or other health professional?” (DIAG\_2\_M). Multiple responses are allowed, so condition-specific percentages may not sum to 100%. ‘Other, not listed’ was offered as a possible response. Only top-level categories of medical conditions are shown: depending on responses to these questions, additional questions are presented so that participants can give further details on their specific conditions.

***

### Note on representativeness and statistical weights <a href="#toc138755177" id="toc138755177"></a>

Participant self-selection can lead to selection biases for some analyses in all non-probability, volunteer-based recruitment programmes, including Our Future Health. We aim to recruit a cohort that is reflective of the diversity of the UK population in terms of age, ethnicity, socioeconomic status and geography. This will ensure that the resource is amenable to investigation of a large range of hypotheses and potential discoveries to improve the health of all parts of the UK population. Recruiting a diverse population will also help both to minimise selection biases and to maximise the participation of groups in the UK who have been historically under-represented in health research. Current diversity of the Our Future Health cohort can be compared to the combined UK Censuses 2021-2022 using Table 2 of this document.

We recognise, however, that our participant sample is unlikely to be fully representative of the UK population in demographics and other factors. Research using data from Our Future Health may therefore be affected, to varying degrees, by selection biases. To address this challenge, we plan to conduct non-response analyses using data from our recruitment partners and from UK Census programmes. In due course, we will make the sampling weights and statistical code from this work available to our research users, enabling weighting of results back to the UK, England, Scotland, Wales, and Northern Ireland populations. This will help researchers to improve the accuracy of statistical inferences to these UK national populations in analyses of data from Our Future Health.