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Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data
Journal article   Open access   Peer reviewed

Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

Birga M Schumpe, Caspar J Van Lissa, Jocelyn J Bélanger, Kai Ruggeri, Jochen Mierau, Claudia F Nisa, Erica Molinario, Michele J Gelfand, Wolfgang Stroebe, Maximilian Agostini, …
Scientific reports, Vol.12(1), pp.3824-3824
03-09-2022
PMID: 35264597

Abstract

Attitude COVID-19 - prevention & control COVID-19 - virology Guideline Adherence Health Behavior Humans Longitudinal Studies Public Health SARS-CoV-2 Social Norms Surveys and Questionnaires
The present paper examines longitudinally how subjective perceptions about COVID-19, one's community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.
url
https://www.nature.com/articles/s41598-021-04703-9.pdfView
Published (Version of record) Open
url
https://doi.org/10.1038/s41598-021-04703-9View
Published (Version of record) Open

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