Evidence map›Paper›PMID 41778057›Full record

ArticleInternational journal of public health2026

Psychosocial Determinants of Vaccine Hesitancy and Vaccination Behavior Among Older Adults in China: A Large Cross-Sectional Study.

Rui Peng, Zongchao Peng, Siwen Huang, Sitong Luo, Dong Guo

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

5 authors.

Rui PengSchool of Government and Public Affairs, Communication University of China, Beijing, China.
Zongchao PengCenter for Crisis Management Research, Tsinghua University, Beijing, China.
Siwen HuangVanke School of Public Health, Tsinghua University, Beijing, China.
Sitong LuoVanke School of Public Health, Tsinghua University, Beijing, China.
Dong GuoSchool of Economics and Management, Communication University of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To identify psychosocial determinants of vaccine hesitancy and vaccination behavior among older adults in China, using an integrated framework of the Health Belief Model and Theory of Planned Behavior. Methods: We conducted a cross-sectional survey targeting individuals aged 60+ years during the pandemic vaccine rollout. The analysis included Probit regression models based on the Health Belief Model (HBM), Theory of Planned Behaviour (TPB), risk perception, vaccine confidence and behavioral intervention, with demographic and health status as control variables. Results: Among older adults, vaccine hesitancy was significantly associated with perceived benefits, perceived barriers, attitude, self-efficacy, concerns about vaccine safety, perceived vaccine necessity, positive incentives, negative social pressure, information prompts, and vaccination reminders. Actual vaccination behavior was significantly influenced by vaccine hesitancy, perceived severity, perceived benefits, perceived barriers, attitude, self-efficacy, and positive incentives, etc. Age and medical contraindications significantly affected both hesitancy and vaccine behavior. Conclusion: The integrated theoretical framework reveals age-specific behavioral pathways that are critical to vaccine acceptance among older Chinese adults. These findings underscore the importance of age-tailored interventions that address psychosocial barriers and leverage timely behavioral nudges to improve immunization outcomes in aging populations.

Indexed as

Patient Acceptance of Health CareVaccinationVaccination HesitancyAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHealth Belief ModelHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSelf EfficacyTheory of Planned Behaviorhealth belief modelolder adultstheory of planned behaviorvaccination behaviorvaccine hesitancy

Identifiers

PMID41778057
PMCPMC12950613

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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.