A longitudinal analysis of conspiracy beliefs and Covid-19 health responses.


Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
09 2023
Historique:
medline: 23 10 2023
pubmed: 27 9 2022
entrez: 26 9 2022
Statut: ppublish

Résumé

Little is known about how conspiracy beliefs and health responses are interrelated over time during the course of the coronavirus disease 2019 (Covid-19) pandemic. This longitudinal study tested two contrasting, but not mutually exclusive, hypotheses through cross-lagged modeling. First, based on the consequential nature of conspiracy beliefs, we hypothesize that conspiracy beliefs predict an increase in detrimental health responses over time. Second, as people may rationalize their behavior through conspiracy beliefs, we hypothesize that detrimental health responses predict increased conspiracy beliefs over time. We measured conspiracy beliefs and several health-related responses (i.e. physical distancing, support for lockdown policy, and the perception of the coronavirus as dangerous) at three phases of the pandemic in the Netherlands ( For physical distancing and perceived danger, the overall cross-lagged effects supported both hypotheses, although the standardized effects were larger for the effects of conspiracy beliefs on these health responses than vice versa. The within-person change results only supported an effect of conspiracy beliefs on these health responses, depending on the phase of the pandemic. Furthermore, an overall cross-lagged effect of conspiracy beliefs on reduced support for lockdown policy emerged from Wave 2 to 3. The results provide stronger support for the hypothesis that conspiracy beliefs predict health responses over time than for the hypothesis that health responses predict conspiracy beliefs over time.

Sections du résumé

BACKGROUND
Little is known about how conspiracy beliefs and health responses are interrelated over time during the course of the coronavirus disease 2019 (Covid-19) pandemic. This longitudinal study tested two contrasting, but not mutually exclusive, hypotheses through cross-lagged modeling. First, based on the consequential nature of conspiracy beliefs, we hypothesize that conspiracy beliefs predict an increase in detrimental health responses over time. Second, as people may rationalize their behavior through conspiracy beliefs, we hypothesize that detrimental health responses predict increased conspiracy beliefs over time.
METHODS
We measured conspiracy beliefs and several health-related responses (i.e. physical distancing, support for lockdown policy, and the perception of the coronavirus as dangerous) at three phases of the pandemic in the Netherlands (
RESULTS
For physical distancing and perceived danger, the overall cross-lagged effects supported both hypotheses, although the standardized effects were larger for the effects of conspiracy beliefs on these health responses than vice versa. The within-person change results only supported an effect of conspiracy beliefs on these health responses, depending on the phase of the pandemic. Furthermore, an overall cross-lagged effect of conspiracy beliefs on reduced support for lockdown policy emerged from Wave 2 to 3.
CONCLUSIONS
The results provide stronger support for the hypothesis that conspiracy beliefs predict health responses over time than for the hypothesis that health responses predict conspiracy beliefs over time.

Identifiants

pubmed: 36154946
doi: 10.1017/S0033291722002938
pii: S0033291722002938
pmc: PMC10482717
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5709-5716

Auteurs

Jan-Willem van Prooijen (JW)

Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
The Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam, the Netherlands.
Department of Criminal Law and Criminology, Maastricht University, Maastricht, the Netherlands.

David M Amodio (DM)

Department of Psychology, New York University, New York, NY, USA.
Department of Social Psychology, University of Amsterdam, Amsterdam, the Netherlands.

Arnout Boot (A)

Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.

Anita Eerland (A)

Department of Communication Science, Radboud University Nijmegen, Nijmegen, the Netherlands.

Tom Etienne (T)

Kieskompas, Amsterdam, the Netherlands.
Department of Political Science & Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.

André P M Krouwel (APM)

Departments of Political Science and Communication Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Michal Onderco (M)

Department of Public Administration and Sociology, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Peace Research Center Prague, Faculty of Social Sciences, Charles University, Prague, Czechia.

Peter Verkoeijen (P)

Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Brain and Learning Research Group, Learning and Innovation Center, Avans University of Applied Sciences, Breda, the Netherlands.

Rolf A Zwaan (RA)

Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.

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