Evidence map›Paper›PMID 41356028›Full record

ArticleFrontiers in psychology2025

Online Fitness Content as a behavioral catalyst: extending the Theory of Planned Behavior to unmask time-dependent effects on resistance training engagement.

Wei Wei, Ronghai Su, Chen Lin, Meng Meng, Rongrong Zheng

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

Wei WeiSchool of Physical Education, China University of Geosciences, Beijing, China.
Ronghai SuCollege of Physical Education and Sports, Beijing Normal University, Beijing, China.
Chen LinSchool of Physical Education, Education University of Hong Kong, Hong Kong, China.
Meng MengDepartment of Physical Education, Xiamen University, Xiamen, China.
Rongrong ZhengCollege of Physical Education and Sports, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Resistance training plays a vital role in promoting physical and mental health among university students. However, approximately three-quarters of students globally fail to meet recommended guidelines, with a significant intention-behavior gap persisting. Based on an extended Theory of Planned Behavior (TPB) framework, this study aimed to examine the dual-chain mediating effects of Online Fitness Content (OFC) on students' resistance training behavior through Planning (PL) and Positive Emotion (PE), and to test the suppressing effect of Consumption Time (CT). Method: A stratified random sampling method was administered to 356 college students (60.39% male, 39.61% female) regularly engaged in resistance training across 17 Chinese universities. Structural Equation Modeling (AMOS 20.0) was employed to analyze the chain mediation pathways, with multi-group comparisons testing the moderating effect of CT. Results: The core TPB variables (attitude, subjective norm, perceived behavioral control) significantly predicted intention (path coefficients: 0.265-0.494, Discussion: The study demonstrates that OFC serves as an effective digital mediator in bridging the intention-behavior gap in university students' resistance training, but its efficacy exhibits a critical threshold (30 minutes/day). Future health communication should optimize content distribution strategies and implement CT control mechanisms to achieve sustainable behavior change.

Indexed as

Consumption TimeOnline Fitness Contentresistance trainingsocial networking sitesTheory of Planned Behavior

Identifiers

PMID41356028
PMCPMC12675240

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.