Journal article 923 views
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK)
Thorax, Volume: 77, Issue: 9, Pages: 900 - 912
Swansea University Authors: Gwyneth Davies , Ronan Lyons
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DOI (Published version): 10.1136/thoraxjnl-2021-217487
Abstract
Background: Risk factors for severe COVID-19 include older age, male sex, obesity, black or Asian ethnicity and underlying medical conditions. Whether these factors also influence susceptibility to developing COVID-19 is uncertain. Methods: We undertook a prospective, population-based cohort study (...
Published in: | Thorax |
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ISSN: | 0040-6376 1468-3296 |
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BMJ
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa58899 |
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<?xml version="1.0"?><rfc1807><datestamp>2022-12-09T11:01:02.4077994</datestamp><bib-version>v2</bib-version><id>58899</id><entry>2021-12-06</entry><title>Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK)</title><swanseaauthors><author><sid>92d69cf8519a334ced3f55142c811d95</sid><ORCID>0000-0003-1218-1008</ORCID><firstname>Gwyneth</firstname><surname>Davies</surname><name>Gwyneth Davies</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-12-06</date><deptcode>HDAT</deptcode><abstract>Background: Risk factors for severe COVID-19 include older age, male sex, obesity, black or Asian ethnicity and underlying medical conditions. Whether these factors also influence susceptibility to developing COVID-19 is uncertain. Methods: We undertook a prospective, population-based cohort study (COVIDENCE UK) from 1 May 2020 to 5 February 2021. Baseline information on potential risk factors was captured by an online questionnaire. Monthly follow-up questionnaires captured incident COVID-19. We used logistic regression models to estimate multivariable-adjusted ORs (aORs) for associations between potential risk factors and odds of COVID-19. Results: We recorded 446 incident cases of COVID-19 in 15 227 participants (2.9%). Increased odds of developing COVID-19 were independently associated with Asian/Asian British versus white ethnicity (aOR 2.28, 95% CI 1.33 to 3.91), household overcrowding (aOR per additional 0.5 people/bedroom 1.26, 1.11 to 1.43), any versus no visits to/from other households in previous week (aOR 1.31, 1.06 to 1.62), number of visits to indoor public places (aOR per extra visit per week 1.05, 1.02 to 1.09), frontline occupation excluding health/social care versus no frontline occupation (aOR 1.49, 1.12 to 1.98) and raised body mass index (BMI) (aOR 1.50 (1.19 to 1.89) for BMI 25.0–30.0 kg/m2 and 1.39 (1.06 to 1.84) for BMI >30.0 kg/m2 versus BMI <25.0 kg/m2). Atopic disease was independently associated with decreased odds (aOR 0.75, 0.59 to 0.97). No independent associations were seen for age, sex, other medical conditions, diet or micronutrient supplement use. Conclusions: After rigorous adjustment for factors influencing exposure to SARS-CoV-2, Asian/Asian British ethnicity and raised BMI were associated with increased odds of developing COVID-19, while atopic disease was associated with decreased odds. Trial registration number: ClinicalTrials.gov Registry (NCT04330599).</abstract><type>Journal Article</type><journal>Thorax</journal><volume>77</volume><journalNumber>9</journalNumber><paginationStart>900</paginationStart><paginationEnd>912</paginationEnd><publisher>BMJ</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0040-6376</issnPrint><issnElectronic>1468-3296</issnElectronic><keywords/><publishedDay>1</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-09-01</publishedDate><doi>10.1136/thoraxjnl-2021-217487</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>Health Data Research UK Grant: MC_PC_19004 Barts Charity Grant: MGU0466 Identifier: FundRef http://dx.doi.org/10.13039/100015652</funders><projectreference/><lastEdited>2022-12-09T11:01:02.4077994</lastEdited><Created>2021-12-06T11:15:30.4370598</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Hayley</firstname><surname>Holt</surname><order>1</order></author><author><firstname>Mohammad</firstname><surname>Talaei</surname><orcid>0000-0002-6901-3665</orcid><order>2</order></author><author><firstname>Matthew</firstname><surname>Greenig</surname><order>3</order></author><author><firstname>Dominik</firstname><surname>Zenner</surname><order>4</order></author><author><firstname>Jane</firstname><surname>Symons</surname><order>5</order></author><author><firstname>Clare</firstname><surname>Relton</surname><order>6</order></author><author><firstname>Katherine S</firstname><surname>Young</surname><order>7</order></author><author><firstname>Molly R</firstname><surname>Davies</surname><order>8</order></author><author><firstname>Katherine N</firstname><surname>Thompson</surname><order>9</order></author><author><firstname>Jed</firstname><surname>Ashman</surname><order>10</order></author><author><firstname>Sultan Saeed</firstname><surname>Rajpoot</surname><order>11</order></author><author><firstname>Ahmed Ali</firstname><surname>Kayyale</surname><order>12</order></author><author><firstname>Sarah El</firstname><surname>Rifai</surname><orcid>0000-0002-9194-479x</orcid><order>13</order></author><author><firstname>Philippa J</firstname><surname>Lloyd</surname><orcid>0000-0002-6946-0780</orcid><order>14</order></author><author><firstname>David</firstname><surname>Jolliffe</surname><order>15</order></author><author><firstname>Olivia</firstname><surname>Timmis</surname><order>16</order></author><author><firstname>Sarah</firstname><surname>Finer</surname><order>17</order></author><author><firstname>Stamatina</firstname><surname>Iliodromiti</surname><order>18</order></author><author><firstname>Alec</firstname><surname>Miners</surname><order>19</order></author><author><firstname>Nicholas S</firstname><surname>Hopkinson</surname><orcid>0000-0003-3235-0454</orcid><order>20</order></author><author><firstname>Bodrul</firstname><surname>Alam</surname><order>21</order></author><author><firstname>Graham</firstname><surname>Lloyd-Jones</surname><orcid>0000-0001-8191-4389</orcid><order>22</order></author><author><firstname>Thomas</firstname><surname>Dietrich</surname><order>23</order></author><author><firstname>Iain</firstname><surname>Chapple</surname><order>24</order></author><author><firstname>Paul E</firstname><surname>Pfeffer</surname><orcid>0000-0003-0369-2885</orcid><order>25</order></author><author><firstname>David</firstname><surname>McCoy</surname><order>26</order></author><author><firstname>Gwyneth</firstname><surname>Davies</surname><orcid>0000-0003-1218-1008</orcid><order>27</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>28</order></author><author><firstname>Christopher</firstname><surname>Griffiths</surname><order>29</order></author><author><firstname>Frank</firstname><surname>Kee</surname><orcid>0000-0002-0606-8167</orcid><order>30</order></author><author><firstname>Aziz</firstname><surname>Sheikh</surname><order>31</order></author><author><firstname>Gerome</firstname><surname>Breen</surname><order>32</order></author><author><firstname>Seif O</firstname><surname>Shaheen</surname><order>33</order></author><author><firstname>Adrian R</firstname><surname>Martineau</surname><orcid>0000-0001-5387-1721</orcid><order>34</order></author></authors><documents/><OutputDurs/></rfc1807> |
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2022-12-09T11:01:02.4077994 v2 58899 2021-12-06 Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) 92d69cf8519a334ced3f55142c811d95 0000-0003-1218-1008 Gwyneth Davies Gwyneth Davies true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2021-12-06 HDAT Background: Risk factors for severe COVID-19 include older age, male sex, obesity, black or Asian ethnicity and underlying medical conditions. Whether these factors also influence susceptibility to developing COVID-19 is uncertain. Methods: We undertook a prospective, population-based cohort study (COVIDENCE UK) from 1 May 2020 to 5 February 2021. Baseline information on potential risk factors was captured by an online questionnaire. Monthly follow-up questionnaires captured incident COVID-19. We used logistic regression models to estimate multivariable-adjusted ORs (aORs) for associations between potential risk factors and odds of COVID-19. Results: We recorded 446 incident cases of COVID-19 in 15 227 participants (2.9%). Increased odds of developing COVID-19 were independently associated with Asian/Asian British versus white ethnicity (aOR 2.28, 95% CI 1.33 to 3.91), household overcrowding (aOR per additional 0.5 people/bedroom 1.26, 1.11 to 1.43), any versus no visits to/from other households in previous week (aOR 1.31, 1.06 to 1.62), number of visits to indoor public places (aOR per extra visit per week 1.05, 1.02 to 1.09), frontline occupation excluding health/social care versus no frontline occupation (aOR 1.49, 1.12 to 1.98) and raised body mass index (BMI) (aOR 1.50 (1.19 to 1.89) for BMI 25.0–30.0 kg/m2 and 1.39 (1.06 to 1.84) for BMI >30.0 kg/m2 versus BMI <25.0 kg/m2). Atopic disease was independently associated with decreased odds (aOR 0.75, 0.59 to 0.97). No independent associations were seen for age, sex, other medical conditions, diet or micronutrient supplement use. Conclusions: After rigorous adjustment for factors influencing exposure to SARS-CoV-2, Asian/Asian British ethnicity and raised BMI were associated with increased odds of developing COVID-19, while atopic disease was associated with decreased odds. Trial registration number: ClinicalTrials.gov Registry (NCT04330599). Journal Article Thorax 77 9 900 912 BMJ 0040-6376 1468-3296 1 9 2022 2022-09-01 10.1136/thoraxjnl-2021-217487 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University Health Data Research UK Grant: MC_PC_19004 Barts Charity Grant: MGU0466 Identifier: FundRef http://dx.doi.org/10.13039/100015652 2022-12-09T11:01:02.4077994 2021-12-06T11:15:30.4370598 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Hayley Holt 1 Mohammad Talaei 0000-0002-6901-3665 2 Matthew Greenig 3 Dominik Zenner 4 Jane Symons 5 Clare Relton 6 Katherine S Young 7 Molly R Davies 8 Katherine N Thompson 9 Jed Ashman 10 Sultan Saeed Rajpoot 11 Ahmed Ali Kayyale 12 Sarah El Rifai 0000-0002-9194-479x 13 Philippa J Lloyd 0000-0002-6946-0780 14 David Jolliffe 15 Olivia Timmis 16 Sarah Finer 17 Stamatina Iliodromiti 18 Alec Miners 19 Nicholas S Hopkinson 0000-0003-3235-0454 20 Bodrul Alam 21 Graham Lloyd-Jones 0000-0001-8191-4389 22 Thomas Dietrich 23 Iain Chapple 24 Paul E Pfeffer 0000-0003-0369-2885 25 David McCoy 26 Gwyneth Davies 0000-0003-1218-1008 27 Ronan Lyons 0000-0001-5225-000X 28 Christopher Griffiths 29 Frank Kee 0000-0002-0606-8167 30 Aziz Sheikh 31 Gerome Breen 32 Seif O Shaheen 33 Adrian R Martineau 0000-0001-5387-1721 34 |
title |
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) |
spellingShingle |
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) Gwyneth Davies Ronan Lyons |
title_short |
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) |
title_full |
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) |
title_fullStr |
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) |
title_full_unstemmed |
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) |
title_sort |
Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK) |
author_id_str_mv |
92d69cf8519a334ced3f55142c811d95 83efcf2a9dfcf8b55586999d3d152ac6 |
author_id_fullname_str_mv |
92d69cf8519a334ced3f55142c811d95_***_Gwyneth Davies 83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons |
author |
Gwyneth Davies Ronan Lyons |
author2 |
Hayley Holt Mohammad Talaei Matthew Greenig Dominik Zenner Jane Symons Clare Relton Katherine S Young Molly R Davies Katherine N Thompson Jed Ashman Sultan Saeed Rajpoot Ahmed Ali Kayyale Sarah El Rifai Philippa J Lloyd David Jolliffe Olivia Timmis Sarah Finer Stamatina Iliodromiti Alec Miners Nicholas S Hopkinson Bodrul Alam Graham Lloyd-Jones Thomas Dietrich Iain Chapple Paul E Pfeffer David McCoy Gwyneth Davies Ronan Lyons Christopher Griffiths Frank Kee Aziz Sheikh Gerome Breen Seif O Shaheen Adrian R Martineau |
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Thorax |
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Swansea University |
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0040-6376 1468-3296 |
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10.1136/thoraxjnl-2021-217487 |
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BMJ |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
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description |
Background: Risk factors for severe COVID-19 include older age, male sex, obesity, black or Asian ethnicity and underlying medical conditions. Whether these factors also influence susceptibility to developing COVID-19 is uncertain. Methods: We undertook a prospective, population-based cohort study (COVIDENCE UK) from 1 May 2020 to 5 February 2021. Baseline information on potential risk factors was captured by an online questionnaire. Monthly follow-up questionnaires captured incident COVID-19. We used logistic regression models to estimate multivariable-adjusted ORs (aORs) for associations between potential risk factors and odds of COVID-19. Results: We recorded 446 incident cases of COVID-19 in 15 227 participants (2.9%). Increased odds of developing COVID-19 were independently associated with Asian/Asian British versus white ethnicity (aOR 2.28, 95% CI 1.33 to 3.91), household overcrowding (aOR per additional 0.5 people/bedroom 1.26, 1.11 to 1.43), any versus no visits to/from other households in previous week (aOR 1.31, 1.06 to 1.62), number of visits to indoor public places (aOR per extra visit per week 1.05, 1.02 to 1.09), frontline occupation excluding health/social care versus no frontline occupation (aOR 1.49, 1.12 to 1.98) and raised body mass index (BMI) (aOR 1.50 (1.19 to 1.89) for BMI 25.0–30.0 kg/m2 and 1.39 (1.06 to 1.84) for BMI >30.0 kg/m2 versus BMI <25.0 kg/m2). Atopic disease was independently associated with decreased odds (aOR 0.75, 0.59 to 0.97). No independent associations were seen for age, sex, other medical conditions, diet or micronutrient supplement use. Conclusions: After rigorous adjustment for factors influencing exposure to SARS-CoV-2, Asian/Asian British ethnicity and raised BMI were associated with increased odds of developing COVID-19, while atopic disease was associated with decreased odds. Trial registration number: ClinicalTrials.gov Registry (NCT04330599). |
published_date |
2022-09-01T04:15:47Z |
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1763754060354158592 |
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11.037603 |