Evidence map›Paper›PMID 41208502›Full record

ArticleHuman vaccines & immunotherapeutics2025

Exploring vaccine acceptance using Protection Motivation Theory: A study of college students' behavioral intentions in the context of COVID-19.

Shilpa Gopal, Mathew Thomas Gil

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 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

2 authors.

Shilpa GopalManipal School of Commerce and Economics, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-6094-3129
Mathew Thomas GilManipal School of Commerce and Economics, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-5135-3397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a study on the psychological factors that may affect university students' acceptance of the COVID-19 vaccine using Protection Motivation Theory (PMT) and some components of Theory Planned Behavior (TPB). It draws together the influence of knowledge of vaccine actions on threat and coping and how these factors drive intentions to act and to be vaccinated. The data were obtained from 315 Indian university students using a cross-sectional design and analyzed using PLS-SEM. The core constructs were perceived susceptibility, perceived severity, self-efficacy, response efficacy, response cost, behavioral intention, and vaccine acceptance. The findings indicate that vaccine-related knowledge significantly enhances perceived severity and response efficacy, which positively influences behavioral intention and acceptance. Mediation analysis confirmed the indirect effect of coping appraisals, whereas moderation analysis revealed that Vaccine Attitude Hesitancy (VAH) moderated the relationship between knowledge, intention, and acceptance. A simple slope analysis further validates these effects. This study contributes to the understanding of vaccine hesitancy by integrating the PMT and TPB, offering valuable implications for public health communication strategies. Enhancing awareness and addressing psychological barriers can support greater vaccine uptake among students, which is crucial for pandemic preparedness.

Indexed as

COVID-19COVID-19 VaccinesMotivationPatient Acceptance of Health CareStudentsVaccinationVaccination HesitancyAdolescentAdultCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansIndiaIntentionMaleCOVID-19 Vaccinesbehavioral intentionCOVID-19Protection Motivation Theoryvaccine acceptancevaccine hesitancy

Identifiers

PMID41208502
PMCPMC12604636

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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.