Evidence map›Paper›PMID 36154946›Full record

ArticlePsychological medicine2023

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

Jan-Willem van Prooijen, David M Amodio, Arnout Boot, Anita Eerland, Tom Etienne, André P M Krouwel, Michal Onderco, Peter Verkoeijen, Rolf A Zwaan

Abstract read
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jan-Willem van ProoijenDepartment of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-6236-0819
David M AmodioDepartment of Psychology, New York University, New York, NY, USA.
Arnout BootDepartment of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Anita EerlandDepartment of Communication Science, Radboud University Nijmegen, Nijmegen, the Netherlands.
Tom EtienneKieskompas, Amsterdam, the Netherlands.
André P M KrouwelDepartments of Political Science and Communication Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Michal OndercoDepartment of Public Administration and Sociology, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Peter VerkoeijenDepartment of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Rolf A ZwaanDepartment of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle 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.

methodsWe 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 (

resultsFor 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.

conclusionsThe 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.

Indexed as

COVID-19Communicable Disease ControlHumansLongitudinal StudiesNetherlandsPhysical DistancingConspiracy theorieshealth-related beliefslongitudinal designphysical distancingSARS-CoV2

Identifiers

PMID36154946
PMCPMC10482717

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.