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

PsyCorona Collaboration

doi:10.1038/s41598-021-04703-9

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

PsyCorona Collaboration

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Article number	3824
Pages (from-to)	1-12
Number of pages	12
Journal	Scientific Reports
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41598-021-04703-9
Publication status	Published - 9 Mar 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Funding

This research received support from the New York University Abu Dhabi (VCDSF/75-71015), the University of Groningen (Sustainable Society & Ubbo Emmius Fund), and the Instituto de Salud Carlos III (COV20/00086), co-funded by the European Regional Development Fund (ERDF) “A way to make Europe.”

Funders	Funder number
Sustainable Society & Ubbo Emmius Fund
New York University Abu Dhabi
Center for Prototype Climate Modeling, New York University Abu Dhabi	VCDSF/75-71015
University of Groningen
Nicolaas Mulerius Foundation, University of Groningen
Instituto de Salud Carlos III	COV20/00086
European Regional Development Fund

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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s41598-021-04703-9Final published version, 1.02 MBLicence: CC BY

Cite this

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

abstract = "The present paper examines longitudinally how subjective perceptions about COVID-19, one{\textquoteright}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.",

author = "{PsyCorona Collaboration} and Schumpe, {Birga M.} and {Van Lissa}, {Caspar J.} and B{\'e}langer, {Jocelyn J.} and Kai Ruggeri and Jochen Mierau and Nisa, {Claudia F.} and Erica Molinario and Gelfand, {Michele J.} and Wolfgang Stroebe and Maximilian Agostini and Ben G{\"u}tzkow and Jeronimus, {Bertus F.} and Jannis Kreienkamp and Maja Kutlaca and Lemay, {Edward P.} and Reitsema, {Anne Margit} and vanDellen, {Michelle R.} and Georgios Abakoumkin and {Abdul Khaiyom}, {Jamilah Hanum} and Vjollca Ahmedi and Handan Akkas and Almenara, {Carlos A.} and Mohsin Atta and Bagci, {Sabahat Cigdem} and Sima Basel and {Berisha Kida}, Edona and Bernardo, {Allan B.I.} and Buttrick, {Nicholas R.} and Phatthanakit Chobthamkit and Choi, {Hoon Seok} and Mioara Cristea and Sara Csaba and Kaja Damnjanovi{\'c} and Ivan Danyliuk and Arobindu Dash and {Di Santo}, Daniela and Douglas, {Karen M.} and Violeta Enea and Daiane Faller and Fitzsimons, {Gavan J.} and Alexandra Gheorghiu and {\'A}ngel G{\'o}mez and Ali Hamaidia and Qing Han and Mai Helmy and Joevarian Hudiyana and Jiang, {Ding Yu} and Veljko Jovanovi{\'c} and Zeljka Kamenov and Anna Kende",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = mar,

day = "9",

doi = "10.1038/s41598-021-04703-9",

language = "English",

volume = "12",

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journal = "Scientific Reports",

issn = "2045-2322",

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AU - PsyCorona Collaboration

AU - Schumpe, Birga M.

AU - Van Lissa, Caspar J.

AU - Bélanger, Jocelyn J.

AU - Ruggeri, Kai

AU - Mierau, Jochen

AU - Nisa, Claudia F.

AU - Molinario, Erica

AU - Gelfand, Michele J.

AU - Stroebe, Wolfgang

AU - Agostini, Maximilian

AU - Gützkow, Ben

AU - Jeronimus, Bertus F.

AU - Kreienkamp, Jannis

AU - Kutlaca, Maja

AU - Lemay, Edward P.

AU - Reitsema, Anne Margit

AU - vanDellen, Michelle R.

AU - Abakoumkin, Georgios

AU - Abdul Khaiyom, Jamilah Hanum

AU - Ahmedi, Vjollca

AU - Akkas, Handan

AU - Almenara, Carlos A.

AU - Atta, Mohsin

AU - Bagci, Sabahat Cigdem

AU - Basel, Sima

AU - Berisha Kida, Edona

AU - Bernardo, Allan B.I.

AU - Buttrick, Nicholas R.

AU - Chobthamkit, Phatthanakit

AU - Choi, Hoon Seok

AU - Cristea, Mioara

AU - Csaba, Sara

AU - Damnjanović, Kaja

AU - Danyliuk, Ivan

AU - Dash, Arobindu

AU - Di Santo, Daniela

AU - Douglas, Karen M.

AU - Enea, Violeta

AU - Faller, Daiane

AU - Fitzsimons, Gavan J.

AU - Gheorghiu, Alexandra

AU - Gómez, Ángel

AU - Hamaidia, Ali

AU - Han, Qing

AU - Helmy, Mai

AU - Hudiyana, Joevarian

AU - Jiang, Ding Yu

AU - Jovanović, Veljko

AU - Kamenov, Zeljka

AU - Kende, Anna

PY - 2022/3/9

Y1 - 2022/3/9

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AB - 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.

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

Abstract

Bibliographical note

Funding

UN SDGs

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