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

dc.creatorSchumpe B.M., Van Lissa C.J., Bélanger J.J., Ruggeri K., Mierau J., Nisa C.F., Molinario E., Gelfand M.J., Stroebe W., Agostini M., Gützkow B., Jeronimus B.F., Kreienkamp J., Kutlaca M., Lemay E.P., Jr, Reitsema A.M., vanDellen M.R., Abakoumkin G., Abdul Khaiyom J.H., Ahmedi V., Akkas H., Almenara C.A., Atta M., Bagci S.C., Basel S., Berisha Kida E., Bernardo A.B.I., Buttrick N.R., Chobthamkit P., Choi H.-S., Cristea M., Csaba S., Damnjanović K., Danyliuk I., Dash A., Di Santo D., Douglas K.M., Enea V., Faller D., Fitzsimons G.J., Gheorghiu A., Gómez Á., Hamaidia A., Han Q., Helmy M., Hudiyana J., Jiang D.-Y., Jovanović V., Kamenov Z., Kende A., Keng S.-L., Kieu T.T.T., Koc Y., Kovyazina K., Kozytska I., Krause J., Kruglanski A.W., Kurapov A., Lantos N.A., Lesmana C.B.J., Louis W.R., Lueders A., Malik N.I., Martinez A.P., McCabe K.O., Mehulić J., Milla M.N., Mohammed I., Moyano M., Muhammad H., Mula S., Muluk H., Myroniuk S., Najafi R., Nyúl B., O’Keefe P.A., Olivas Osuna J.J., Osin E.N., Park J., Pica G., Pierro A., Rees J.H., Resta E., Rullo M., Ryan M.K., Samekin A., Santtila P., Sasin E., Selim H.A., Stanton M.V., Sultana S., Sutton R.M., Tseliou E., Utsugi A., van Breen J.A., Van Veen K., Vázquez A., Wollast R., Yeung V.W.-L., Zand S., Žeželj I.L., Zheng B., Zick A., Zúñiga C., Leander N.P.en
dc.date.accessioned2023-01-31T09:54:43Z
dc.date.available2023-01-31T09:54:43Z
dc.date.issued2022
dc.identifier10.1038/s41598-021-04703-9
dc.identifier.issn20452322
dc.identifier.urihttp://hdl.handle.net/11615/78860
dc.description.abstractThe 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. © 2022, The Author(s).en
dc.language.isoenen
dc.sourceScientific Reportsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126077662&doi=10.1038%2fs41598-021-04703-9&partnerID=40&md5=f7101b2552a8dfb26181a0ebd8e4d11d
dc.subjectattitudeen
dc.subjecthealth behavioren
dc.subjecthumanen
dc.subjectlongitudinal studyen
dc.subjectprevention and controlen
dc.subjectprotocol complianceen
dc.subjectpublic healthen
dc.subjectquestionnaireen
dc.subjectsocial normen
dc.subjectvirologyen
dc.subjectAttitudeen
dc.subjectCOVID-19en
dc.subjectGuideline Adherenceen
dc.subjectHealth Behavioren
dc.subjectHumansen
dc.subjectLongitudinal Studiesen
dc.subjectPublic Healthen
dc.subjectSARS-CoV-2en
dc.subjectSocial Normsen
dc.subjectSurveys and Questionnairesen
dc.subjectNature Researchen
dc.titlePredictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal dataen
dc.typejournalArticleen


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