CovidStanfordV1, Main, Exploration, bibRecord, 000344

Racial disparities in knowledge, attitudes and practices related to COVID-19 in the USA.

Identifieur interne : 000344 ( Main/Exploration ); précédent : 000343; suivant : 000345

Racial disparities in knowledge, attitudes and practices related to COVID-19 in the USA.

Auteurs : Wilson M. Alobuia [États-Unis] ; Nathan P. Dalva-Baird [États-Unis] ; Joseph D. Forrester [États-Unis] ; Eran Bendavid [États-Unis] ; Jay Bhattacharya [États-Unis] ; Electron Kebebew [États-Unis]

Source :

Journal of public health (Oxford, England) [ 1741-3850 ] ; 2020.

RBID : pubmed:32490519

Descripteurs français

English descriptors

Abstract

BACKGROUND

Recent reports indicate racial disparities in the rates of infection and mortality from the 2019 novel coronavirus (coronavirus disease 2019 [COVID-19]). The aim of this study was to determine whether disparities exist in the levels of knowledge, attitudes and practices (KAPs) related to COVID-19.

METHODS

We analyzed data from 1216 adults in the March 2020 Kaiser Family Foundation 'Coronavirus Poll', to determine levels of KAPs across different groups. Univariate and multivariate regression analysis was used to identify predictors of KAPs.

RESULTS

In contrast to White respondents, Non-White respondents were more likely to have low knowledge (58% versus 30%; P < 0.001) and low attitude scores (52% versus 27%; P < 0.001), but high practice scores (81% versus 59%; P < 0.001). By multivariate regression, White race (odds ratio [OR] 3.06; 95% confidence interval [CI]: 1.70-5.50), higher level of education (OR 1.80; 95% CI: 1.46-2.23) and higher income (OR 2.06; 95% CI: 1.58-2.70) were associated with high knowledge of COVID-19. Race, sex, education, income, health insurance status and political views were all associated with KAPs.

CONCLUSIONS

Racial and socioeconomic disparity exists in the levels of KAPs related to COVID-19. More work is needed to identify educational tools that tailor to specific racial and socioeconomic groups.

DOI: 10.1093/pubmed/fdaa069
PubMed: 32490519
PubMed Central: PMC7313911

Affiliations:

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>African Americans (statistics & numerical data)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Asian Americans (statistics & numerical data)</term>
<term>Betacoronavirus (MeSH)</term>
<term>COVID-19 (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (psychology)</term>
<term>Ethnic Groups (statistics & numerical data)</term>
<term>European Continental Ancestry Group (statistics & numerical data)</term>
<term>Female (MeSH)</term>
<term>Health Knowledge, Attitudes, Practice (MeSH)</term>
<term>Hispanic Americans (statistics & numerical data)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Odds Ratio (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (psychology)</term>
<term>Race Factors (MeSH)</term>
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<term>Afro-Américains (statistiques et données numériques)</term>
<term>Américain origine asiatique (statistiques et données numériques)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Connaissances, attitudes et pratiques en santé (MeSH)</term>
<term>Enquêtes et questionnaires (MeSH)</term>
<term>Ethnies (statistiques et données numériques)</term>
<term>Facteurs raciaux (MeSH)</term>
<term>Facteurs socioéconomiques (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Hispano-américain (statistiques et données numériques)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (psychologie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Odds ratio (MeSH)</term>
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<term>Pneumopathie virale (épidémiologie)</term>
<term>Population d'origine européenne (statistiques et données numériques)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>African Americans</term>
<term>Asian Americans</term>
<term>Ethnic Groups</term>
<term>European Continental Ancestry Group</term>
<term>Hispanic Americans</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Afro-Américains</term>
<term>Américain origine asiatique</term>
<term>Ethnies</term>
<term>Hispano-américain</term>
<term>Population d'origine européenne</term>
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<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Betacoronavirus</term>
<term>COVID-19</term>
<term>Female</term>
<term>Health Knowledge, Attitudes, Practice</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Odds Ratio</term>
<term>Pandemics</term>
<term>Race Factors</term>
<term>SARS-CoV-2</term>
<term>Socioeconomic Factors</term>
<term>Surveys and Questionnaires</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Connaissances, attitudes et pratiques en santé</term>
<term>Enquêtes et questionnaires</term>
<term>Facteurs raciaux</term>
<term>Facteurs socioéconomiques</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Odds ratio</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Recent reports indicate racial disparities in the rates of infection and mortality from the 2019 novel coronavirus (coronavirus disease 2019 [COVID-19]). The aim of this study was to determine whether disparities exist in the levels of knowledge, attitudes and practices (KAPs) related to COVID-19.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>We analyzed data from 1216 adults in the March 2020 Kaiser Family Foundation 'Coronavirus Poll', to determine levels of KAPs across different groups. Univariate and multivariate regression analysis was used to identify predictors of KAPs.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>In contrast to White respondents, Non-White respondents were more likely to have low knowledge (58% versus 30%; P < 0.001) and low attitude scores (52% versus 27%; P < 0.001), but high practice scores (81% versus 59%; P < 0.001). By multivariate regression, White race (odds ratio [OR] 3.06; 95% confidence interval [CI]: 1.70-5.50), higher level of education (OR 1.80; 95% CI: 1.46-2.23) and higher income (OR 2.06; 95% CI: 1.58-2.70) were associated with high knowledge of COVID-19. Race, sex, education, income, health insurance status and political views were all associated with KAPs.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Racial and socioeconomic disparity exists in the levels of KAPs related to COVID-19. More work is needed to identify educational tools that tailor to specific racial and socioeconomic groups.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>31</Day>
</DateCompleted>
<DateRevised><Year>2021</Year>
<Month>01</Month>
<Day>10</Day>
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<JournalIssue CitedMedium="Internet"><Volume>42</Volume>
<Issue>3</Issue>
<PubDate><Year>2020</Year>
<Month>Aug</Month>
<Day>18</Day>
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<Title>Journal of public health (Oxford, England)</Title>
<ISOAbbreviation>J Public Health (Oxf)</ISOAbbreviation>
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<ArticleTitle>Racial disparities in knowledge, attitudes and practices related to COVID-19 in the USA.</ArticleTitle>
<Pagination><MedlinePgn>470-478</MedlinePgn>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Recent reports indicate racial disparities in the rates of infection and mortality from the 2019 novel coronavirus (coronavirus disease 2019 [COVID-19]). The aim of this study was to determine whether disparities exist in the levels of knowledge, attitudes and practices (KAPs) related to COVID-19.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We analyzed data from 1216 adults in the March 2020 Kaiser Family Foundation 'Coronavirus Poll', to determine levels of KAPs across different groups. Univariate and multivariate regression analysis was used to identify predictors of KAPs.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">In contrast to White respondents, Non-White respondents were more likely to have low knowledge (58% versus 30%; P < 0.001) and low attitude scores (52% versus 27%; P < 0.001), but high practice scores (81% versus 59%; P < 0.001). By multivariate regression, White race (odds ratio [OR] 3.06; 95% confidence interval [CI]: 1.70-5.50), higher level of education (OR 1.80; 95% CI: 1.46-2.23) and higher income (OR 2.06; 95% CI: 1.58-2.70) were associated with high knowledge of COVID-19. Race, sex, education, income, health insurance status and political views were all associated with KAPs.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Racial and socioeconomic disparity exists in the levels of KAPs related to COVID-19. More work is needed to identify educational tools that tailor to specific racial and socioeconomic groups.</AbstractText>
<CopyrightInformation>© The Author(s) 2020. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Alobuia</LastName>
<ForeName>Wilson M</ForeName>
<Initials>WM</Initials>
<AffiliationInfo><Affiliation>Department of Health Research & Policy, Stanford University, Stanford, CA 94305, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dalva-Baird</LastName>
<ForeName>Nathan P</ForeName>
<Initials>NP</Initials>
<AffiliationInfo><Affiliation>Department of Humanities and Sciences, Stanford University, Stanford, CA 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Forrester</LastName>
<ForeName>Joseph D</ForeName>
<Initials>JD</Initials>
<AffiliationInfo><Affiliation>Department of Health Research & Policy, Stanford University, Stanford, CA 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bendavid</LastName>
<ForeName>Eran</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, Center for Health Policy and the Center for Primary Care and Outcomes Research, Stanford, CA 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bhattacharya</LastName>
<ForeName>Jay</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, Center for Health Policy and the Center for Primary Care and Outcomes Research, Stanford, CA 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kebebew</LastName>
<ForeName>Electron</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Department of Health Research & Policy, Stanford University, Stanford, CA 94305, USA.</Affiliation>
</AffiliationInfo>
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<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Public Health (Oxf)</MedlineTA>
<NlmUniqueID>101188638</NlmUniqueID>
<ISSNLinking>1741-3842</ISSNLinking>
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<CitationSubset>IM</CitationSubset>
<CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>J Public Health (Oxf). 2020 Aug 18;42(3):479</RefSource>
<PMID Version="1">32648928</PMID>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
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<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
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<MeshHeading><DescriptorName UI="D001741" MajorTopicYN="N">African Americans</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
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<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
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<MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
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<MeshHeading><DescriptorName UI="D001213" MajorTopicYN="N">Asian Americans</DescriptorName>
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<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
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<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
</MeshHeading>
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Serveur d'exploration sur le Covid à Stanford

Racial disparities in knowledge, attitudes and practices related to COVID-19 in the USA.

Racial disparities in knowledge, attitudes and practices related to COVID-19 in the USA.

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