Political network composition predicts vaccination attitudes

Political polarization is growing rapidly in the United States and has been linked to politicized public health issues including vaccination. Political homogeneity among one's interpersonal relationships may predict polarization levels and partisan bias. In this study, we analyzed if political...

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Bibliographic Details
Published in:Social science & medicine (1982) Vol. 328; p. 116004
Main Authors: Facciani, Matthew, Lazić, Aleksandra, Viggiano, Gracemarie, McKay, Tara
Format: Journal Article
Language:English
Published: England Elsevier Ltd 01-07-2023
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Summary:Political polarization is growing rapidly in the United States and has been linked to politicized public health issues including vaccination. Political homogeneity among one's interpersonal relationships may predict polarization levels and partisan bias. In this study, we analyzed if political network structure predicted partisan beliefs about the COVID-19 vaccine, beliefs about vaccines in general, and COVID-19 vaccine uptake. Personal networks were measured by whom the respondent discussed “important matters” with to obtain a list of individuals who are close to the respondent. The number of associates listed who share the political identity or vaccine status with the respondent was calculated as a measure of homogeneity. We find that having more Republicans and unvaccinated individuals in one's network predicted lower vaccine confidence whereas having more Democrats and vaccinated individuals in one's network predicted higher vaccine confidence. Exploratory network analyses revealed that non-kin others are especially impactful on vaccine attitudes when those network connections are also Republican and unvaccinated. •Having more Republicans in one's network predicted lower vaccine confidence.•Having more Democrats in one's network predicted higher vaccine confidence.•Having more unvaccinated network connections predicted lower vaccine confidence.•Non-kin others in one's network were especially predictive of vaccine confidence.
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ISSN:0277-9536
1873-5347
1873-5347
DOI:10.1016/j.socscimed.2023.116004