Evidence map›Paper›PMID 41732725›Full record

ArticlePeerJ2026

Relationship between perceived risk and compliance with infection control measures during the first year of a pandemic.

Sebastian B Bjørkheim, Sigurd W Hystad, Bjørn Sætrevik

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sebastian B BjørkheimDepartment for Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway.
Sigurd W HystadDepartment for Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway.
Bjørn SætrevikDepartment for Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The way people perceive health risks is often assumed to influence how they adopt precautionary measures. However, people's assessment of a given phenomenon's risk may vary over time, and the relationship between perceived risk and compliance with protective measures may be dynamic and bi-directional. We measured the perceived risk of COVID-19 and compliance with infection control measures for a large representative sample at four time-points during the first year of the COVID-19 pandemic in Norway. We employed a cross-lagged panel analysis to investigate both the cross-sectional and the temporal association between perceived risk and compliance. We found cross-sectional associations between perceived risk and compliance at one of the time points. There were no temporal associations between risk at one time-point and compliance at the subsequent time-point. Neither was compliance associated with risk at the subsequent time-point. The results suggest that the relationship between perceived risk and compliance with COVID-19 infection control measures is negligible and stable over time. A multiverse analysis showed that the absence of a relationship between perceived risk and compliance was robust to different operationalizations of perceived risk. This highlights the need for a nuanced understanding of how risk perceptions impact behavior during a pandemic.

Indexed as

COVID-19Guideline AdherenceInfection ControlPandemicsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNorwayPerceptionRisk AssessmentSARS-CoV-2ComplianceCOVID-19Cross-lagged analysisHealth protective behaviorInfection control measuresPerceived riskRegistered report

Identifiers

PMID41732725
PMCPMC12925416

What OpenQuestion holds

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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.