Evidence map›Paper›PMID 41024773›Full record

ArticleJournal of public health research2025

Worry, risk perception, vaccine perception, and vaccine acceptance: Testing three competing path models in the context of COVID-19.

Yixin Chen

Abstract read
In one paragraph

Article in Journal of public health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

1 author.

Yixin ChenDepartment of Communication Studies, Sam Houston State University, Huntsville, TX, USA.ORCID https://orcid.org/0000-0001-7330-2366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although previous studies have identified worry about COVID-19 as an important determinant of COVID-19 vaccine-related intentions and behaviors, the exact mechanism by which worry influences these intentions and behaviors is still being investigated. Design and method: An online survey was conducted among 310 U.S. university students from mid-June to mid-July 2021, measuring worry about COVID-19, COVID-19 risk perception (perceived probability and perceived severity), vaccine perception (perceived vaccine safety and perceived vaccine effectiveness), and vaccine acceptance, along with demographics. Three models were tested using structural equation modeling (SEM): (1) worry, risk-perception, and vaccine-perception variables influence vaccine acceptance simultaneously; (2) worry partially mediates the relationships between risk/vaccine-perception variables and vaccine acceptance; (3) risk- and vaccine-perception variables partially mediate the relationship between worry and vaccine acceptance. All models are the originally specified models. Results: Results of SEM analyses suggest that Model (3) fit the data best (CFI = 1.000, TLI = 1.000, and RMSEA = 0.000). SEM analysis for Model (3) found that perceived probability of contracting COVID-19 is negatively, worry about COVID-19 is positively, and perceived vaccine safety (the strongest predictor) is positively associated with vaccine acceptance. Perceived severity of contracting COVID-19 and perceived vaccine effectiveness are non-significant predictors. Worry indirectly affects vaccine acceptance through perceived probability (negative) and perceived vaccine safety (positive). Conclusions: COVID-19 vaccine campaigns targeting college students should emphasize vaccine safety, use reasonable worry as an emotional cue, and avoid overemphasizing the likelihood of contracting COVID-19.

Indexed as

COVID-19risk-as-feelingsrisk perceptionvaccine acceptancevaccine perceptionworry

Identifiers

PMID41024773
PMCPMC12476521

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.