Evidence map›Paper›PMID 41647737›Full record

ArticleFrontiers in public health2026

Research on the influencing factors of using health science popularization short videos on the self-management behavior of older adult patients with chronic diseases.

Yilin Zhang, Miao Yu, Zhenghan Gao

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. 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

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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

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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

3 authors.

Yilin ZhangSchool of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, China.
Miao YuSchool of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, China.
Zhenghan GaoSchool of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global prevalence of chronic diseases among the older adults population continues to rise, emerging as a core issue affecting the health and quality of life of older adults. This trend is particularly pronounced in China, which has entered a phase of deep aging society. With the rapid development of the internet, digital media technologies-represented by health science popularization short videos, offer new possibilities for self-health management in older adults. Methods: Utilizing data collected via face-to-face electronic questionnaires from 2024 to 2025 ( Results: The results indicate that watching health science popularization short videos had a significant positive effect on the self-management behavior of older adults patients with chronic conditions. Self-perceived level, medical compliance, and family caregiving level were identified as significant factors influencing both trust in the video content and self-management behavior. Content trustworthiness mediated this relationship and also directly influenced self-management behavior. Significant differences were observed based on "urban-rural location" and "extent of media exposure"; however, no significant behavioral differences were found by "gender," and "education level" and "income" did not significantly affect content trustworthiness. Conclusion: This study treats digital media use as a key research variable. The findings suggest that in promoting the adaptation of digital health services for older adults, it is essential to strengthen the credibility of health science content and address the diverse needs of older adult populations across different regions and with varying media usage habits. Furthermore, by enhancing self-efficacy and strengthening family support, among other dimensions, more targeted health behavior intervention strategies should be developed. This approach will help to fully leverage the positive role of digital media in improving health management among older adults.

Indexed as

Self-ManagementVideo RecordingAgedAged, 80 and overChinaChronic DiseaseDigital HealthDigital MediaFemaleHumansMaleMiddle AgedQuality of LifeSurveys and Questionnaireshealthscience popularization short videosinfluencing factorsolder adult patients with chronic diseasesself-management behaviorstructural equation modeling

Identifiers

PMID41647737
PMCPMC12871061

What OpenQuestion holds

Textmetadata
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.