Evidence map›Paper›PMID 40603549›Full record

ArticleScientific reports2025

The impact of health communication through sports social media on adolescents' sport participation attitudes: a moderated mediation model.

Jiawei Chen, Mengfen Liu, Jinmei Hu, Jianhua Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

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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

4 authors.

Jiawei Chen *Hunan Mechanical & Electrical Polytechnic, Changsha, 410000, Hunan, China.
Mengfen Liu *Hunan Mechanical & Electrical Polytechnic, Changsha, 410000, Hunan, China.
Jinmei HuHunan Mechanical & Electrical Polytechnic, Changsha, 410000, Hunan, China.
Jianhua ZhangSchool of physical Education and Art, Hunan University of Medicine, Huaihua, 41800, China. zjh828288@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sport Participation Attitudes are important factors influencing individuals' physical health. From the perspective of the social-ecological model, this study explores the relationship and mechanisms between Health Communication through Sports Social Media(HCTSSM) and adolescents' sport participation attitudes through the construction and testing of a moderated mediation model. A cross-sectional design was employed to examine the mediating roles of social support and self-efficacy in the impact of Health Communication through Sports Social Media on Sport Participation Attitudes. Data were collected from 920 adolescents using the Health Communication through Sports Social Media, Sports Attitude, Social Support, and the Self-Efficacy Scales. The results showed that: (1) HCTSSM has a significant positive impact on adolescents' Attitudes Towards Sports; (2) self-efficacy plays a mediating role in the relationship between HCTSSM and adolescents' Attitudes Towards Sports; (3) social support moderates the latter half of the mediation process, where HCTSSM influences adolescents' participation attitudes through self-efficacy. Based on the findings, it is recommended that sports social media platforms prioritize enhancing users' social support and self-efficacy. Specifically, the selection and design of health communication content should focus on experience-sharing and health belief-oriented materials. This approach is likely to be more effective in fostering positive attitudes toward sports participation.

Indexed as

Health CommunicationSocial MediaSportsAdolescentCross-Sectional StudiesFemaleHumansMaleSelf EfficacySocial SupportSurveys and QuestionnairesAdolescents and youthsHealth communication through sports social mediaSelf-efficacySocial supportSport participation attitudes

Identifiers

PMID40603549
PMCPMC12223302

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.