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Association between household size and COVID-19: A UK Biobank observational study
Summary Objective To assess the association between household size and risk of non-severe or severe COVID-19. Design A longitudinal observational study. Setting This study utilised UK Biobank linked to national SARS-CoV-2 laboratory test data. Participants 401,910 individuals with available data on...
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Published in: | Journal of the Royal Society of Medicine 2022-04, Vol.115 (4), p.138-144 |
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container_title | Journal of the Royal Society of Medicine |
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creator | Gillies, Clare L Rowlands, Alex V Razieh, Cameron Nafilyan, Vahé Chudasama, Yogini Islam, Nazrul Zaccardi, Francesco Ayoubkhani, Daniel Lawson, Claire Davies, Melanie J Yates, Tom Khunti, Kamlesh |
description | Summary
Objective
To assess the association between household size and risk of non-severe or severe COVID-19.
Design
A longitudinal observational study.
Setting
This study utilised UK Biobank linked to national SARS-CoV-2 laboratory test data.
Participants
401,910 individuals with available data on household size in UK Biobank.
Main outcome measures
Household size was categorised as single occupancy, two-person households and households of three or more. Severe COVID-19 was defined as a positive SARS-CoV-2 test on hospital admission or death with COVID-19 recorded as the underlying cause; and non-severe COVID-19 as a positive test from a community setting. Logistic regression models were fitted to assess associations, adjusting for potential confounders.
Results
Of 401,910 individuals, 3612 (1%) were identified as having suffered from a severe COVID-19 infection and 11,264 (2.8%) from a non-severe infection, between 16 March 2020 and 16 March 2021. Overall, the odds of severe COVID-19 was significantly higher among individuals living alone (adjusted odds ratio: 1.24 [95% confidence interval: 1.14 to 1.36], or living in a household of three or more individuals (adjusted odds ratio: 1.28 [1.17 to 1.39], when compared to individuals living in a household of two. For non-severe COVID-19 infection, individuals living in a single-occupancy household had lower odds compared to those living in a household of two (adjusted odds ratio: 0.88 [0.82 to 0.93].
Conclusions
Odds of severe or non-severe COVID-19 infection were associated with household size. Increasing understanding of why certain households are more at risk is important for limiting spread of the infection. |
doi_str_mv | 10.1177/01410768211073923 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8972956</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_01410768211073923</sage_id><sourcerecordid>2626018190</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-f6dbfd14d150ba3ded5534709b53329dd6da8ae1fb0bffc2f58119a91814d6713</originalsourceid><addsrcrecordid>eNp9kctOwzAQRS0EgvL4ADbISzYBTxwnNgukUl4VlRASZWvZsUMDaVziBFS-HpcWBEJiNRrNuXdGdxDaB3IEkGXHBBIgWcpjCIWKmK6hHmSMR0AEW0e9xTxaAFto2_snEnqR0k20RRkAF4T30F3fe5eXqi1djbVt36yt8cR13k5cZbAv3y1WtcGD24fheQTiBPfx-AaflU6r-hk77W3z-qlWFfZtZ-a7aKNQlbd7q7qDxpcX94PraHR7NRz0R1GeUN5GRWp0YSAxwIhW1FjDGE0yIjSjNBbGpEZxZaHQRBdFHheMAwglgAdNmgHdQadL31mnp9bktm4bVclZU05VM5dOlfL3pC4n8tG9Si6yWLA0GByuDBr30lnfymnpc1tVqrYhABmncUrCOkECCks0b5z3jS2-1wCRi1fIP68ImoOf930rvrIPwNES8OrRyifXNSFD_4_jB6IZkVE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2626018190</pqid></control><display><type>article</type><title>Association between household size and COVID-19: A UK Biobank observational study</title><source>Sage Journals Online</source><creator>Gillies, Clare L ; Rowlands, Alex V ; Razieh, Cameron ; Nafilyan, Vahé ; Chudasama, Yogini ; Islam, Nazrul ; Zaccardi, Francesco ; Ayoubkhani, Daniel ; Lawson, Claire ; Davies, Melanie J ; Yates, Tom ; Khunti, Kamlesh</creator><creatorcontrib>Gillies, Clare L ; Rowlands, Alex V ; Razieh, Cameron ; Nafilyan, Vahé ; Chudasama, Yogini ; Islam, Nazrul ; Zaccardi, Francesco ; Ayoubkhani, Daniel ; Lawson, Claire ; Davies, Melanie J ; Yates, Tom ; Khunti, Kamlesh</creatorcontrib><description>Summary
Objective
To assess the association between household size and risk of non-severe or severe COVID-19.
Design
A longitudinal observational study.
Setting
This study utilised UK Biobank linked to national SARS-CoV-2 laboratory test data.
Participants
401,910 individuals with available data on household size in UK Biobank.
Main outcome measures
Household size was categorised as single occupancy, two-person households and households of three or more. Severe COVID-19 was defined as a positive SARS-CoV-2 test on hospital admission or death with COVID-19 recorded as the underlying cause; and non-severe COVID-19 as a positive test from a community setting. Logistic regression models were fitted to assess associations, adjusting for potential confounders.
Results
Of 401,910 individuals, 3612 (1%) were identified as having suffered from a severe COVID-19 infection and 11,264 (2.8%) from a non-severe infection, between 16 March 2020 and 16 March 2021. Overall, the odds of severe COVID-19 was significantly higher among individuals living alone (adjusted odds ratio: 1.24 [95% confidence interval: 1.14 to 1.36], or living in a household of three or more individuals (adjusted odds ratio: 1.28 [1.17 to 1.39], when compared to individuals living in a household of two. For non-severe COVID-19 infection, individuals living in a single-occupancy household had lower odds compared to those living in a household of two (adjusted odds ratio: 0.88 [0.82 to 0.93].
Conclusions
Odds of severe or non-severe COVID-19 infection were associated with household size. Increasing understanding of why certain households are more at risk is important for limiting spread of the infection.</description><identifier>ISSN: 0141-0768</identifier><identifier>ISSN: 1758-1095</identifier><identifier>EISSN: 1758-1095</identifier><identifier>DOI: 10.1177/01410768211073923</identifier><identifier>PMID: 35118908</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Biological Specimen Banks ; COVID-19 - epidemiology ; Hospitalization ; Humans ; SARS-CoV-2 ; United Kingdom - epidemiology</subject><ispartof>Journal of the Royal Society of Medicine, 2022-04, Vol.115 (4), p.138-144</ispartof><rights>The Royal Society of Medicine</rights><rights>The Royal Society of Medicine 2022 The Royal Society of Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-f6dbfd14d150ba3ded5534709b53329dd6da8ae1fb0bffc2f58119a91814d6713</citedby><cites>FETCH-LOGICAL-c438t-f6dbfd14d150ba3ded5534709b53329dd6da8ae1fb0bffc2f58119a91814d6713</cites><orcidid>0000-0002-1463-697X ; 0000-0003-0160-217X ; 0000-0003-2343-7099 ; 0000-0002-8417-9700 ; 0000-0003-3982-4325</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925,79364</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35118908$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gillies, Clare L</creatorcontrib><creatorcontrib>Rowlands, Alex V</creatorcontrib><creatorcontrib>Razieh, Cameron</creatorcontrib><creatorcontrib>Nafilyan, Vahé</creatorcontrib><creatorcontrib>Chudasama, Yogini</creatorcontrib><creatorcontrib>Islam, Nazrul</creatorcontrib><creatorcontrib>Zaccardi, Francesco</creatorcontrib><creatorcontrib>Ayoubkhani, Daniel</creatorcontrib><creatorcontrib>Lawson, Claire</creatorcontrib><creatorcontrib>Davies, Melanie J</creatorcontrib><creatorcontrib>Yates, Tom</creatorcontrib><creatorcontrib>Khunti, Kamlesh</creatorcontrib><title>Association between household size and COVID-19: A UK Biobank observational study</title><title>Journal of the Royal Society of Medicine</title><addtitle>J R Soc Med</addtitle><description>Summary
Objective
To assess the association between household size and risk of non-severe or severe COVID-19.
Design
A longitudinal observational study.
Setting
This study utilised UK Biobank linked to national SARS-CoV-2 laboratory test data.
Participants
401,910 individuals with available data on household size in UK Biobank.
Main outcome measures
Household size was categorised as single occupancy, two-person households and households of three or more. Severe COVID-19 was defined as a positive SARS-CoV-2 test on hospital admission or death with COVID-19 recorded as the underlying cause; and non-severe COVID-19 as a positive test from a community setting. Logistic regression models were fitted to assess associations, adjusting for potential confounders.
Results
Of 401,910 individuals, 3612 (1%) were identified as having suffered from a severe COVID-19 infection and 11,264 (2.8%) from a non-severe infection, between 16 March 2020 and 16 March 2021. Overall, the odds of severe COVID-19 was significantly higher among individuals living alone (adjusted odds ratio: 1.24 [95% confidence interval: 1.14 to 1.36], or living in a household of three or more individuals (adjusted odds ratio: 1.28 [1.17 to 1.39], when compared to individuals living in a household of two. For non-severe COVID-19 infection, individuals living in a single-occupancy household had lower odds compared to those living in a household of two (adjusted odds ratio: 0.88 [0.82 to 0.93].
Conclusions
Odds of severe or non-severe COVID-19 infection were associated with household size. Increasing understanding of why certain households are more at risk is important for limiting spread of the infection.</description><subject>Biological Specimen Banks</subject><subject>COVID-19 - epidemiology</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>SARS-CoV-2</subject><subject>United Kingdom - epidemiology</subject><issn>0141-0768</issn><issn>1758-1095</issn><issn>1758-1095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><recordid>eNp9kctOwzAQRS0EgvL4ADbISzYBTxwnNgukUl4VlRASZWvZsUMDaVziBFS-HpcWBEJiNRrNuXdGdxDaB3IEkGXHBBIgWcpjCIWKmK6hHmSMR0AEW0e9xTxaAFto2_snEnqR0k20RRkAF4T30F3fe5eXqi1djbVt36yt8cR13k5cZbAv3y1WtcGD24fheQTiBPfx-AaflU6r-hk77W3z-qlWFfZtZ-a7aKNQlbd7q7qDxpcX94PraHR7NRz0R1GeUN5GRWp0YSAxwIhW1FjDGE0yIjSjNBbGpEZxZaHQRBdFHheMAwglgAdNmgHdQadL31mnp9bktm4bVclZU05VM5dOlfL3pC4n8tG9Si6yWLA0GByuDBr30lnfymnpc1tVqrYhABmncUrCOkECCks0b5z3jS2-1wCRi1fIP68ImoOf930rvrIPwNES8OrRyifXNSFD_4_jB6IZkVE</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Gillies, Clare L</creator><creator>Rowlands, Alex V</creator><creator>Razieh, Cameron</creator><creator>Nafilyan, Vahé</creator><creator>Chudasama, Yogini</creator><creator>Islam, Nazrul</creator><creator>Zaccardi, Francesco</creator><creator>Ayoubkhani, Daniel</creator><creator>Lawson, Claire</creator><creator>Davies, Melanie J</creator><creator>Yates, Tom</creator><creator>Khunti, Kamlesh</creator><general>SAGE Publications</general><scope>AFRWT</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1463-697X</orcidid><orcidid>https://orcid.org/0000-0003-0160-217X</orcidid><orcidid>https://orcid.org/0000-0003-2343-7099</orcidid><orcidid>https://orcid.org/0000-0002-8417-9700</orcidid><orcidid>https://orcid.org/0000-0003-3982-4325</orcidid></search><sort><creationdate>20220401</creationdate><title>Association between household size and COVID-19: A UK Biobank observational study</title><author>Gillies, Clare L ; Rowlands, Alex V ; Razieh, Cameron ; Nafilyan, Vahé ; Chudasama, Yogini ; Islam, Nazrul ; Zaccardi, Francesco ; Ayoubkhani, Daniel ; Lawson, Claire ; Davies, Melanie J ; Yates, Tom ; Khunti, Kamlesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-f6dbfd14d150ba3ded5534709b53329dd6da8ae1fb0bffc2f58119a91814d6713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biological Specimen Banks</topic><topic>COVID-19 - epidemiology</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>SARS-CoV-2</topic><topic>United Kingdom - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gillies, Clare L</creatorcontrib><creatorcontrib>Rowlands, Alex V</creatorcontrib><creatorcontrib>Razieh, Cameron</creatorcontrib><creatorcontrib>Nafilyan, Vahé</creatorcontrib><creatorcontrib>Chudasama, Yogini</creatorcontrib><creatorcontrib>Islam, Nazrul</creatorcontrib><creatorcontrib>Zaccardi, Francesco</creatorcontrib><creatorcontrib>Ayoubkhani, Daniel</creatorcontrib><creatorcontrib>Lawson, Claire</creatorcontrib><creatorcontrib>Davies, Melanie J</creatorcontrib><creatorcontrib>Yates, Tom</creatorcontrib><creatorcontrib>Khunti, Kamlesh</creatorcontrib><collection>SAGE Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the Royal Society of Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gillies, Clare L</au><au>Rowlands, Alex V</au><au>Razieh, Cameron</au><au>Nafilyan, Vahé</au><au>Chudasama, Yogini</au><au>Islam, Nazrul</au><au>Zaccardi, Francesco</au><au>Ayoubkhani, Daniel</au><au>Lawson, Claire</au><au>Davies, Melanie J</au><au>Yates, Tom</au><au>Khunti, Kamlesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between household size and COVID-19: A UK Biobank observational study</atitle><jtitle>Journal of the Royal Society of Medicine</jtitle><addtitle>J R Soc Med</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>115</volume><issue>4</issue><spage>138</spage><epage>144</epage><pages>138-144</pages><issn>0141-0768</issn><issn>1758-1095</issn><eissn>1758-1095</eissn><abstract>Summary
Objective
To assess the association between household size and risk of non-severe or severe COVID-19.
Design
A longitudinal observational study.
Setting
This study utilised UK Biobank linked to national SARS-CoV-2 laboratory test data.
Participants
401,910 individuals with available data on household size in UK Biobank.
Main outcome measures
Household size was categorised as single occupancy, two-person households and households of three or more. Severe COVID-19 was defined as a positive SARS-CoV-2 test on hospital admission or death with COVID-19 recorded as the underlying cause; and non-severe COVID-19 as a positive test from a community setting. Logistic regression models were fitted to assess associations, adjusting for potential confounders.
Results
Of 401,910 individuals, 3612 (1%) were identified as having suffered from a severe COVID-19 infection and 11,264 (2.8%) from a non-severe infection, between 16 March 2020 and 16 March 2021. Overall, the odds of severe COVID-19 was significantly higher among individuals living alone (adjusted odds ratio: 1.24 [95% confidence interval: 1.14 to 1.36], or living in a household of three or more individuals (adjusted odds ratio: 1.28 [1.17 to 1.39], when compared to individuals living in a household of two. For non-severe COVID-19 infection, individuals living in a single-occupancy household had lower odds compared to those living in a household of two (adjusted odds ratio: 0.88 [0.82 to 0.93].
Conclusions
Odds of severe or non-severe COVID-19 infection were associated with household size. Increasing understanding of why certain households are more at risk is important for limiting spread of the infection.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>35118908</pmid><doi>10.1177/01410768211073923</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-1463-697X</orcidid><orcidid>https://orcid.org/0000-0003-0160-217X</orcidid><orcidid>https://orcid.org/0000-0003-2343-7099</orcidid><orcidid>https://orcid.org/0000-0002-8417-9700</orcidid><orcidid>https://orcid.org/0000-0003-3982-4325</orcidid><oa>free_for_read</oa></addata></record> |
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issn | 0141-0768 1758-1095 1758-1095 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8972956 |
source | Sage Journals Online |
subjects | Biological Specimen Banks COVID-19 - epidemiology Hospitalization Humans SARS-CoV-2 United Kingdom - epidemiology |
title | Association between household size and COVID-19: A UK Biobank observational study |
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