Evidence map›Paper›PMID 42305748›Full record

ArticleFrontiers in public health2026

Influenza vaccine hesitancy and its influencing factors among community-dwelling older adults in Shihezi City, Xinjiang, Western China.

Xinmeng Wang, Shanshan Li, Xiaoju Li, Yiyao Li, Ruiying Peng, Yuhan Zhang

Abstract read
In one paragraph

Article in Frontiers in 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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0cells of the map it votes in
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

6 authors.

Xinmeng Wang *School of Medicine, Shihezi University, Shihezi, China.
Shanshan Li *School of Medicine, Shihezi University, Shihezi, China.
Xiaoju LiSchool of Medicine, Shihezi University, Shihezi, China.
Yiyao LiSchool of Medicine, Shihezi University, Shihezi, China.
Ruiying PengSchool of Medicine, Shihezi University, Shihezi, China.
Yuhan ZhangSchool of Medicine, Shihezi University, Shihezi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to examine the prevalence of influenza vaccine hesitancy and its associated factors among community-dwelling older adults in Shihezi, Xinjiang, thereby informing evidence-based strategies to enhance influenza vaccine uptake in older adults. Methods: A multi-stage cluster random sampling method was adopted to conduct a questionnaire survey among 1,540 community-dwelling older adults in Shihezi City, Xinjiang, in July 2023. Chi-square tests, univariate analysis, and multivariate logistic regression analysis were performed to examine the factors associated with influenza vaccine hesitancy among older adults. Results: Among the 1,474 older adults who completed the survey with valid responses, the prevalence of influenza vaccine hesitancy was 54.5% (804/1474). Univariate analysis showed that age, marital status, chronic diseases, self-rated health, knowledge of influenza and influenza vaccines, perceptions of vaccine efficacy and safety, recommendations from healthcare providers, prior vaccination history, and certain subscale scores of the 5C scale were significantly associated with vaccine hesitancy ( Conclusion: Influenza vaccine hesitancy among community-dwelling older adults in Shihezi, Xinjiang, is affected by multiple factors. To reduce hesitancy and increase vaccination coverage, targeted education on influenza and vaccines should be implemented to improve disease risk awareness and vaccine confidence, along with enhanced vaccination recommendations from healthcare providers.

Indexed as

Health Knowledge, Attitudes, PracticeIndependent LivingInfluenza, HumanInfluenza VaccinesVaccination HesitancyAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesVaccinationInfluenza Vaccinesinfluencing factorsinfluenza vaccineolder adultsvaccination behaviorvaccine hesitancy

Identifiers

PMID42305748
PMCPMC13265310

What OpenQuestion holds

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LicenceCC BY
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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.