Unexpected public health consequences of the COVID-19 pandemic: a national survey examining anti-Asian attitudes in the USA.
Identifieur interne : 000099 ( Main/Exploration ); précédent : 000098; suivant : 000100Unexpected public health consequences of the COVID-19 pandemic: a national survey examining anti-Asian attitudes in the USA.
Auteurs : Lindsay Y. Dhanani [États-Unis] ; Berkeley Franz [États-Unis]Source :
- International journal of public health [ 1661-8564 ] ; 2020.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enquêtes et questionnaires (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (épidémiologie), Population d'origine asiatique (psychologie), Racisme (statistiques et données numériques), Recherche empirique (MeSH), Santé publique (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), États-Unis (épidémiologie).
- MESH :
- psychologie : Population d'origine asiatique.
- statistiques et données numériques : Racisme.
- épidémiologie : Infections à coronavirus, Pneumopathie virale, États-Unis.
- Adolescent, Adulte, Adulte d'âge moyen, Enquêtes et questionnaires, Femelle, Humains, Jeune adulte, Mâle, Pandémies, Recherche empirique, Santé publique, Sujet âgé, Sujet âgé de 80 ans ou plus.
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Asian Continental Ancestry Group (psychology), Coronavirus Infections (epidemiology), Empirical Research (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Public Health (MeSH), Racism (statistics & numerical data), Surveys and Questionnaires (MeSH), United States (epidemiology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : United States.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- psychology : Asian Continental Ancestry Group.
- statistics & numerical data : Racism.
- Adolescent, Adult, Aged, Aged, 80 and over, Empirical Research, Female, Humans, Male, Middle Aged, Pandemics, Public Health, Surveys and Questionnaires, Young Adult.
Abstract
OBJECTIVES
This paper empirically examines whether and how COVID-19 may be activating bias and discrimination toward individuals of Asian descent.
METHODS
In March 2020, we used a national online survey to collect data from 1141 US residents. Using descriptive statistics and multivariate regression, we estimated the prevalence and COVID-19-related predictors of bias toward people of Asian descent.
RESULTS
We found over 40% of our sample reported they would engage in at least one discriminatory behavior toward people of Asian descent. Respondents who were fearful of COVID-19 (b = .09, p < 0.001) and had less accurate knowledge about the virus (b = - .07, p < 0.001) reported more negative attitudes toward Asians as did respondents with less trust in science (b = - .06, p < 0.001) and more trust in President Trump (b = .04, p < 0.001).
CONCLUSIONS
Public health leaders must confront fear of the virus, improve knowledge, and bolster trust in science as these factors may evoke negative attitudes toward Asians and increase prejudice and discrimination. Specifically, our findings warrant the adoption of public health campaigns that provide health information and build trust in scientific knowledge.
DOI: 10.1007/s00038-020-01440-0
PubMed: 32728852
PubMed Central: PMC7388430
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Dhanani</name><affiliation wicri:level="1"><nlm:affiliation>Department of Psychology, Ohio University, 22 Richland Avenue, Athens, OH, 45701, USA. dhanani@ohio.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, Ohio University, 22 Richland Avenue, Athens, OH, 45701</wicri:regionArea><wicri:noRegion>45701</wicri:noRegion></affiliation></author><author><name sortKey="Franz, Berkeley" sort="Franz, Berkeley" uniqKey="Franz B" first="Berkeley" last="Franz">Berkeley Franz</name><affiliation wicri:level="1"><nlm:affiliation>Department of Social Medicine, Heritage College of Osteopathic Medicine, Ohio University, Grosvenor 311, Athens, OH, 45701, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Social Medicine, Heritage College of Osteopathic Medicine, Ohio University, Grosvenor 311, Athens, OH, 45701</wicri:regionArea><wicri:noRegion>45701</wicri:noRegion></affiliation></author></analytic><series><title level="j">International journal of public health</title><idno type="eISSN">1661-8564</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Asian Continental Ancestry Group (psychology)</term><term>Coronavirus Infections (epidemiology)</term><term>Empirical Research (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (epidemiology)</term><term>Public Health (MeSH)</term><term>Racism (statistics & numerical data)</term><term>Surveys and Questionnaires (MeSH)</term><term>United States (epidemiology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Enquêtes et questionnaires (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (épidémiologie)</term><term>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (épidémiologie)</term><term>Population d'origine asiatique (psychologie)</term><term>Racisme (statistiques et données numériques)</term><term>Recherche empirique (MeSH)</term><term>Santé publique (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>États-Unis (épidémiologie)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>United States</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>Population d'origine asiatique</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Asian Continental Ancestry Group</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Racism</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Racisme</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>États-Unis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Empirical Research</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Public Health</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>Enquêtes et questionnaires</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Pandémies</term><term>Recherche empirique</term><term>Santé publique</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>États-Unis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b></p><p>This paper empirically examines whether and how COVID-19 may be activating bias and discrimination toward individuals of Asian descent.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>In March 2020, we used a national online survey to collect data from 1141 US residents. Using descriptive statistics and multivariate regression, we estimated the prevalence and COVID-19-related predictors of bias toward people of Asian descent.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>We found over 40% of our sample reported they would engage in at least one discriminatory behavior toward people of Asian descent. Respondents who were fearful of COVID-19 (b = .09, p < 0.001) and had less accurate knowledge about the virus (b = - .07, p < 0.001) reported more negative attitudes toward Asians as did respondents with less trust in science (b = - .06, p < 0.001) and more trust in President Trump (b = .04, p < 0.001).</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Public health leaders must confront fear of the virus, improve knowledge, and bolster trust in science as these factors may evoke negative attitudes toward Asians and increase prejudice and discrimination. Specifically, our findings warrant the adoption of public health campaigns that provide health information and build trust in scientific knowledge.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32728852</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>19</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>26</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1661-8564</ISSN><JournalIssue CitedMedium="Internet"><Volume>65</Volume><Issue>6</Issue><PubDate><Year>2020</Year><Month>Jul</Month></PubDate></JournalIssue><Title>International journal of public health</Title><ISOAbbreviation>Int J Public Health</ISOAbbreviation></Journal><ArticleTitle>Unexpected public health consequences of the COVID-19 pandemic: a national survey examining anti-Asian attitudes in the USA.</ArticleTitle><Pagination><MedlinePgn>747-754</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s00038-020-01440-0</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">This paper empirically examines whether and how COVID-19 may be activating bias and discrimination toward individuals of Asian descent.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">In March 2020, we used a national online survey to collect data from 1141 US residents. Using descriptive statistics and multivariate regression, we estimated the prevalence and COVID-19-related predictors of bias toward people of Asian descent.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">We found over 40% of our sample reported they would engage in at least one discriminatory behavior toward people of Asian descent. Respondents who were fearful of COVID-19 (b = .09, p < 0.001) and had less accurate knowledge about the virus (b = - .07, p < 0.001) reported more negative attitudes toward Asians as did respondents with less trust in science (b = - .06, p < 0.001) and more trust in President Trump (b = .04, p < 0.001).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Public health leaders must confront fear of the virus, improve knowledge, and bolster trust in science as these factors may evoke negative attitudes toward Asians and increase prejudice and discrimination. 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