Race, socioeconomic deprivation, and hospitalization for COVID-19 in English participants of a national biobank.
Identifieur interne : 000071 ( Main/Corpus ); précédent : 000070; suivant : 000072Race, socioeconomic deprivation, and hospitalization for COVID-19 in English participants of a national biobank.
Auteurs : Aniruddh P. Patel ; Manish D. Paranjpe ; Nina P. Kathiresan ; Manuel A. Rivas ; Amit V. KheraSource :
- International journal for equity in health [ 1475-9276 ] ; 2020.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Biological Specimen Banks (MeSH), Continental Population Groups (statistics & numerical data), Coronavirus Infections (ethnology), Coronavirus Infections (therapy), Female (MeSH), Health Status Disparities (MeSH), Hospitalization (statistics & numerical data), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (ethnology), Pneumonia, Viral (therapy), Prospective Studies (MeSH), Socioeconomic Factors (MeSH), United Kingdom (epidemiology).
- MESH :
- geographic , epidemiology : United Kingdom.
- ethnology : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Continental Population Groups, Hospitalization.
- therapy : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Biological Specimen Banks, Female, Health Status Disparities, Humans, Male, Middle Aged, Pandemics, Prospective Studies, Socioeconomic Factors.
Abstract
Preliminary reports suggest that the Coronavirus Disease 2019 (COVID- 19) pandemic has led to disproportionate morbidity and mortality among historically disadvantaged populations. We investigate the racial and socioeconomic associations of COVID- 19 hospitalization among 418,794 participants of the UK Biobank, of whom 549 (0.13%) had been hospitalized. Both Black participants (odds ratio 3.7; 95%CI 2.5-5.3) and Asian participants (odds ratio 2.2; 95%CI 1.5-3.2) were at substantially increased risk as compared to White participants. We further observed a striking gradient in COVID- 19 hospitalization rates according to the Townsend Deprivation Index - a composite measure of socioeconomic deprivation - and household income. Adjusting for socioeconomic factors and cardiorespiratory comorbidities led to only modest attenuation of the increased risk in Black participants, adjusted odds ratio 2.4 (95%CI 1.5-3.7). These observations confirm and extend earlier preliminary and lay press reports of higher morbidity in non-White individuals in the context of a large population of participants in a national biobank. The extent to which this increased risk relates to variation in pre-existing comorbidities, differences in testing or hospitalization patterns, or additional disparities in social determinants of health warrants further study.
DOI: 10.1186/s12939-020-01227-y
PubMed: 32631328
PubMed Central: PMC7336098
Links to Exploration step
pubmed:32631328Le document en format XML
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Paranjpe</name><affiliation><nlm:affiliation>Harvard Medical School, Boston, MA, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kathiresan, Nina P" sort="Kathiresan, Nina P" uniqKey="Kathiresan N" first="Nina P" last="Kathiresan">Nina P. Kathiresan</name><affiliation><nlm:affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Milton Academy, Milton, MA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Rivas, Manuel A" sort="Rivas, Manuel A" uniqKey="Rivas M" first="Manuel A" last="Rivas">Manuel A. 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Patel</name><affiliation><nlm:affiliation>Center for Genomic Medicine and Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Harvard Medical School, Boston, MA, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Paranjpe, Manish D" sort="Paranjpe, Manish D" uniqKey="Paranjpe M" first="Manish D" last="Paranjpe">Manish D. Paranjpe</name><affiliation><nlm:affiliation>Harvard Medical School, Boston, MA, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kathiresan, Nina P" sort="Kathiresan, Nina P" uniqKey="Kathiresan N" first="Nina P" last="Kathiresan">Nina P. Kathiresan</name><affiliation><nlm:affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Milton Academy, Milton, MA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Rivas, Manuel A" sort="Rivas, Manuel A" uniqKey="Rivas M" first="Manuel A" last="Rivas">Manuel A. Rivas</name><affiliation><nlm:affiliation>Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Khera, Amit V" sort="Khera, Amit V" uniqKey="Khera A" first="Amit V" last="Khera">Amit V. Khera</name><affiliation><nlm:affiliation>Center for Genomic Medicine and Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. avkhera@mgh.harvard.edu.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Harvard Medical School, Boston, MA, USA. avkhera@mgh.harvard.edu.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA. avkhera@mgh.harvard.edu.</nlm:affiliation></affiliation></author></analytic><series><title level="j">International journal for equity in health</title><idno type="eISSN">1475-9276</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Biological Specimen Banks (MeSH)</term><term>Continental Population Groups (statistics & numerical data)</term><term>Coronavirus Infections (ethnology)</term><term>Coronavirus Infections (therapy)</term><term>Female (MeSH)</term><term>Health Status Disparities (MeSH)</term><term>Hospitalization (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (ethnology)</term><term>Pneumonia, Viral (therapy)</term><term>Prospective Studies (MeSH)</term><term>Socioeconomic Factors (MeSH)</term><term>United Kingdom (epidemiology)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>United Kingdom</term></keywords><keywords scheme="MESH" qualifier="ethnology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Continental Population Groups</term><term>Hospitalization</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Biological Specimen Banks</term><term>Female</term><term>Health Status Disparities</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Prospective Studies</term><term>Socioeconomic Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Preliminary reports suggest that the Coronavirus Disease 2019 (COVID- 19) pandemic has led to disproportionate morbidity and mortality among historically disadvantaged populations. We investigate the racial and socioeconomic associations of COVID- 19 hospitalization among 418,794 participants of the UK Biobank, of whom 549 (0.13%) had been hospitalized. Both Black participants (odds ratio 3.7; 95%CI 2.5-5.3) and Asian participants (odds ratio 2.2; 95%CI 1.5-3.2) were at substantially increased risk as compared to White participants. We further observed a striking gradient in COVID- 19 hospitalization rates according to the Townsend Deprivation Index - a composite measure of socioeconomic deprivation - and household income. Adjusting for socioeconomic factors and cardiorespiratory comorbidities led to only modest attenuation of the increased risk in Black participants, adjusted odds ratio 2.4 (95%CI 1.5-3.7). These observations confirm and extend earlier preliminary and lay press reports of higher morbidity in non-White individuals in the context of a large population of participants in a national biobank. The extent to which this increased risk relates to variation in pre-existing comorbidities, differences in testing or hospitalization patterns, or additional disparities in social determinants of health warrants further study.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32631328</PMID><DateCompleted><Year>2020</Year><Month>07</Month><Day>09</Day></DateCompleted><DateRevised><Year>2020</Year><Month>07</Month><Day>11</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1475-9276</ISSN><JournalIssue CitedMedium="Internet"><Volume>19</Volume><Issue>1</Issue><PubDate><Year>2020</Year><Month>07</Month><Day>06</Day></PubDate></JournalIssue><Title>International journal for equity in health</Title><ISOAbbreviation>Int J Equity Health</ISOAbbreviation></Journal><ArticleTitle>Race, socioeconomic deprivation, and hospitalization for COVID-19 in English participants of a national biobank.</ArticleTitle><Pagination><MedlinePgn>114</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12939-020-01227-y</ELocationID><Abstract><AbstractText>Preliminary reports suggest that the Coronavirus Disease 2019 (COVID- 19) pandemic has led to disproportionate morbidity and mortality among historically disadvantaged populations. We investigate the racial and socioeconomic associations of COVID- 19 hospitalization among 418,794 participants of the UK Biobank, of whom 549 (0.13%) had been hospitalized. Both Black participants (odds ratio 3.7; 95%CI 2.5-5.3) and Asian participants (odds ratio 2.2; 95%CI 1.5-3.2) were at substantially increased risk as compared to White participants. We further observed a striking gradient in COVID- 19 hospitalization rates according to the Townsend Deprivation Index - a composite measure of socioeconomic deprivation - and household income. Adjusting for socioeconomic factors and cardiorespiratory comorbidities led to only modest attenuation of the increased risk in Black participants, adjusted odds ratio 2.4 (95%CI 1.5-3.7). These observations confirm and extend earlier preliminary and lay press reports of higher morbidity in non-White individuals in the context of a large population of participants in a national biobank. The extent to which this increased risk relates to variation in pre-existing comorbidities, differences in testing or hospitalization patterns, or additional disparities in social determinants of health warrants further study.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Patel</LastName><ForeName>Aniruddh P</ForeName><Initials>AP</Initials><Identifier Source="ORCID">0000-0001-7871-9638</Identifier><AffiliationInfo><Affiliation>Center for Genomic Medicine and Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Harvard Medical School, Boston, MA, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Paranjpe</LastName><ForeName>Manish D</ForeName><Initials>MD</Initials><AffiliationInfo><Affiliation>Harvard Medical School, Boston, MA, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kathiresan</LastName><ForeName>Nina P</ForeName><Initials>NP</Initials><AffiliationInfo><Affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Milton Academy, Milton, MA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rivas</LastName><ForeName>Manuel A</ForeName><Initials>MA</Initials><AffiliationInfo><Affiliation>Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Khera</LastName><ForeName>Amit V</ForeName><Initials>AV</Initials><AffiliationInfo><Affiliation>Center for Genomic Medicine and Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. avkhera@mgh.harvard.edu.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Harvard Medical School, Boston, MA, USA. avkhera@mgh.harvard.edu.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA. avkhera@mgh.harvard.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>5R01HG01014002</GrantID><Acronym>HG</Acronym><Agency>NHGRI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>1K08HG010155</GrantID><Acronym>HG</Acronym><Agency>NHGRI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>5U01HG009080</GrantID><Agency>National Institutes of Health Center for Multi- and Trans-ethnic Mapping of Mendelian and Complex Diseases</Agency><Country>International</Country></Grant><Grant><GrantID>T32HL007208</GrantID><Acronym>HL</Acronym><Agency>NHLBI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>K08 HG010155</GrantID><Acronym>HG</Acronym><Agency>NHGRI NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016422">Letter</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>07</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Int J Equity Health</MedlineTA><NlmUniqueID>101147692</NlmUniqueID><ISSNLinking>1475-9276</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018070" MajorTopicYN="N">Biological Specimen Banks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D044469" MajorTopicYN="N">Continental Population Groups</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000208" MajorTopicYN="Y">ethnology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName 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Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006113" MajorTopicYN="N" Type="Geographic">United Kingdom</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword><Keyword MajorTopicYN="Y">Health disparity</Keyword><Keyword MajorTopicYN="Y">Race</Keyword><Keyword MajorTopicYN="Y">Socioeconomic deprivation</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>7</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>7</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>7</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32631328</ArticleId><ArticleId IdType="doi">10.1186/s12939-020-01227-y</ArticleId><ArticleId IdType="pii">10.1186/s12939-020-01227-y</ArticleId><ArticleId IdType="pmc">PMC7336098</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Nature. 2018 Oct;562(7726):203-209</Citation><ArticleIdList><ArticleId IdType="pubmed">30305743</ArticleId></ArticleIdList></Reference><Reference><Citation>JAMA. 2020 Apr 15;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32293639</ArticleId></ArticleIdList></Reference><Reference><Citation>Microb Genom. 2020 Jun 18;:</Citation><ArticleIdList><ArticleId 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