Evidence map›Paper›PMID 36960940›Full record

ArticleAmerican journal of health promotion : AJHP2023

How Do Religious and Political Beliefs Predict COVID-19 Vaccination Behavior Among U.S. College Students? A Study Using the Health Belief Model.

Yixin Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of health promotion : AJHP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Yixin ChenDepartment of Communication Studies, Sam Houston State University, Huntsville, TX, USA.ORCID 0000-0001-7330-2366
Sam Houston State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePredicting COVID-19 vaccination behavior among U.S. college students using the Health Belief Model (HBM).

designCross-sectional survey.

settingOnline. SAMPLE: A convenience sample of students in a public university in the U.S. (N = 411). MEASURES: Demographics; COVID-19 vaccination behavior as outcome variable; HBM variables (perceived threat of COVID-19, perceived individual benefit of vaccination, perceived community benefit of vaccination, perceived vaccine-safety barrier, perceived vaccination-cost barrier [time and effort], self-efficacy), and fear of COVID-19 as proximal predictors; religious beliefs and political beliefs as distal predictors. Questions/items measuring all variables in the survey data collection were taken from relevant and peer-reviewed publications and were modified to reflect the context of COVID-19. ANALYSIS: Structural equation modeling (SEM).

resultsThe model fit the data very well (χ

conclusionPerceived individual benefit, the two barrier variables, and political beliefs are direct predictors, while religious beliefs are an indirect predictor, of COVID-19 vaccination behavior, suggesting that the HBM can effectively inform strategies to promote vaccination. Political beliefs are a much stronger predictor than religious beliefs. Students who are more religious or conservative tend to perceive less individual benefit and greater barriers to vaccination, making them less likely to get vaccinated. A limitation of this study is the disproportionate number of female participants (77.9%).

Indexed as

COVID-19COVID-19 VaccinesCross-Sectional StudiesFemaleHealth Belief ModelHumansStudentsVaccinationCOVID-19 VaccinesCOVID-19health belief modelpolitical beliefsreligious beliefsvaccination

Identifiers

PMID36960940
PMCPMC10040480
OpenAlexW4360816361

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.