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A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada

OBJECTIVE: We examine the role of social capital in intention to take the vaccine at the end of the first wave of the COVID-19 pandemic. METHODS: This study uses observational, cross-sectional data from the Ontario sample of the fall 2020 Canadian Community Health Survey (CCHS), a representative sam...

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Autores principales: Grignon, Michel, Bai, Yihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907866/
https://www.ncbi.nlm.nih.gov/pubmed/36752981
http://dx.doi.org/10.17269/s41997-023-00746-9
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author Grignon, Michel
Bai, Yihong
author_facet Grignon, Michel
Bai, Yihong
author_sort Grignon, Michel
collection PubMed
description OBJECTIVE: We examine the role of social capital in intention to take the vaccine at the end of the first wave of the COVID-19 pandemic. METHODS: This study uses observational, cross-sectional data from the Ontario sample of the fall 2020 Canadian Community Health Survey (CCHS), a representative sample of the population with added questions relative to symptoms of COVID-19 and intentions to get vaccinated. Questions on social capital were asked to respondents from Ontario only, yielding a sample of 6516. Odds ratios (OR) and marginal effects at sample mean of an index of social capital (at the individual or aggregated level) on changes in intentions to get vaccinated are estimated from logistic regression models. RESULTS: Individual-level social capital is associated with greater willingness to get vaccinated against COVID-19 (OR 1.09). Associations with aggregated-level social capital are less precisely estimated. Associations are the same for both males and females but vary across age categories: individual-level social capital is associated with higher willingness to get vaccinated among working-age respondents, but aggregate-level social capital is associated with higher willingness to get vaccinated among older adults. CONCLUSION: Vaccine hesitancy is not a random phenomenon, nor is it explained by individual characteristics such as education or income only. It also reflects the state of the social environment in which individuals live and public health messaging should take this into account if it is to be successful. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.17269/s41997-023-00746-9.
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spelling pubmed-99078662023-02-09 A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada Grignon, Michel Bai, Yihong Can J Public Health Special Section on COVID-19: Quantitative Research OBJECTIVE: We examine the role of social capital in intention to take the vaccine at the end of the first wave of the COVID-19 pandemic. METHODS: This study uses observational, cross-sectional data from the Ontario sample of the fall 2020 Canadian Community Health Survey (CCHS), a representative sample of the population with added questions relative to symptoms of COVID-19 and intentions to get vaccinated. Questions on social capital were asked to respondents from Ontario only, yielding a sample of 6516. Odds ratios (OR) and marginal effects at sample mean of an index of social capital (at the individual or aggregated level) on changes in intentions to get vaccinated are estimated from logistic regression models. RESULTS: Individual-level social capital is associated with greater willingness to get vaccinated against COVID-19 (OR 1.09). Associations with aggregated-level social capital are less precisely estimated. Associations are the same for both males and females but vary across age categories: individual-level social capital is associated with higher willingness to get vaccinated among working-age respondents, but aggregate-level social capital is associated with higher willingness to get vaccinated among older adults. CONCLUSION: Vaccine hesitancy is not a random phenomenon, nor is it explained by individual characteristics such as education or income only. It also reflects the state of the social environment in which individuals live and public health messaging should take this into account if it is to be successful. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.17269/s41997-023-00746-9. Springer International Publishing 2023-02-08 /pmc/articles/PMC9907866/ /pubmed/36752981 http://dx.doi.org/10.17269/s41997-023-00746-9 Text en © The Author(s) under exclusive license to The Canadian Public Health Association 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
spellingShingle Special Section on COVID-19: Quantitative Research
Grignon, Michel
Bai, Yihong
A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada
title A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada
title_full A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada
title_fullStr A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada
title_full_unstemmed A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada
title_short A cross-sectional analysis of the association between social capital and willingness to get COVID-19 vaccine in Ontario, Canada
title_sort cross-sectional analysis of the association between social capital and willingness to get covid-19 vaccine in ontario, canada
topic Special Section on COVID-19: Quantitative Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907866/
https://www.ncbi.nlm.nih.gov/pubmed/36752981
http://dx.doi.org/10.17269/s41997-023-00746-9
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