ArticleHuman vaccines & immunotherapeutics2022
Using an extended protection motivation theory to explain vaccine hesitancy: a cross-sectional study among Chinese adults.
Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 27 citations in OpenAlex.
- Using protection motivation theory to explain intentions to vaccinate against tick-borne encephalitis.BMC public health · 2025Article
- Understanding COVID-19 booster information seeking in a collectivist context: the roles of social expectations, trust in experts, and uncertainty.Frontiers in public health · 2025Article
- Knowledge, attitudes, barriers and uptake rate of influenza virus vaccine among adults with chronic diseases in Jordan: a multicentric cross-sectional study.Frontiers in public health · 2025Article
- Predicting dietary management intention of patients with chronic kidney disease using protection motivation theory.PloS one · 2025Article
- The effects of a protection motivation theory-based online educational program on HPV vaccination intention among female medical students in Hubei province, China: A randomized controlled trial.Journal of education and health promotion · 2025Article
- Assessing vaccinated persons' intention to take the COVID-19 boosters using a combined theoretical framework: an online survey in Egypt.Scientific reports · 2024Article
- Perceptions and acceptability of HPV vaccination among parents of female adolescents 9-14 in China: A cross-sectional survey based on the theory of planned behavior.Human vaccines & immunotherapeutics · 2023Article
- Application of Protection Motivation Theory to COVID-19 vaccination among a predominantly Hispanic sample of adolescents.Preventive medicine reports · 2023Article
- Fear of COVID-19 disease and vaccination as predictors of vaccination status.Scientific reports · 2023Article
- COVID-19 Vaccine Uptake and Hesitancy among Pregnant and Lactating Women in Saudi Arabia.Vaccines · 2023Article
- Predicting COVID-19 vaccination intentions: the roles of threat appraisal, coping appraisal, subjective norms, and negative affect.BMC public health · 2023Article
- Understanding the Barriers and Attitudes toward Influenza Vaccine Uptake in the Adult General Population: A Rapid Review.Vaccines · 2023Review
- The acceptance of SARS-CoV-2 rapid antigen self-testing: A cross-sectional study in China.Journal of medical virology · 2023Article
- The pattern from the first three rounds of vaccination: declining vaccination rates.Frontiers in public health · 2023Article
- An Analysis of Factors Shaping Vaccine Attitudes and Behaviours in a Low-Trust Society Based on Structural Equation Modelling-The Case of Poland's Vaccination Programme against COVID-19.International journal of environmental research and public health · 2022Article
- Understanding Attitudes Toward Influenza Vaccination: Insights from a Romanian Family Medicine Patient Population.Current health sciences journalArticle
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVaccine hesitancy was listed as one of the top 10 issues threatening global health in 2019. The objectives of this study were to (a) use an extended protection motivation theory (PMT) with an added trust component to identify predictors of vaccine hesitancy and (b) explore the predictive ability of vaccine hesitancy on vaccination behavior.
methodsWe conducted an online questionnaire from February 9 to April 9, 2021, in China. The target population was Chinese residents aged 18 and over. A total of 14,236 responses were received. Structural equation modeling was used to test the extended PMT model hypotheses.
resultsA total of 10,379 participants were finally included in this study, of whom 52.0% showed hesitancy toward vaccination. 2854 (27.5%) participants reported that they got flu shots in the past year, and 2561 (24.7%) participants were vaccinated against COVID-19. 2857 (27.5%) participants engaged in healthcare occupation. The model explained 85.7% variance of vaccine hesitancy. Self-efficacy was the strongest predictor, negatively associated with vaccine hesitancy (
conclusionsThis study demonstrates that the extended PMT model is efficient in explaining vaccine hesitancy. However, the predictive ability of vaccine hesitancy on vaccination behavior is limited.
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