Evidence map›Paper›PMID 41366698›Full record

ArticleBMC psychology2025

Enhancing university athletes' physical activity and decision-making through educational interventions grounded in the theory of planned behavior.

Hai Liu, Ruilin Xu, Yean Chun Loh

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Article in BMC 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hai LiuSchool of Kinesiology and Physical Education, Zhengzhou University, Zhengzhou, 450001, China.
Ruilin XuSchool of Kinesiology and Physical Education, Zhengzhou University, Zhengzhou, 450001, China. xrl@zzu.edu.cn.
Yean Chun LohSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Penang, 11800, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe decision-making processes and physical activities of university athletes are crucial for both individual well-being and athletic performance. The Theory of Planned Behavior (TPB) provides a comprehensive framework for examining the cognitive factors that influence athletes' participation in physical activity. However, existing applications of TPB have primarily focused on general student populations, leaving a gap in our understanding of how this theory operates within the high-stakes, performance-driven environment of university athletics. This study aims not only to examine how TPB constructs (attitude, subjective norms, and perceived behavioral control) relate to university athletes' decision-making and physical activity behaviors but also to evaluate the effectiveness of a theory-based intervention designed to enhance these factors. Ultimately, the goal is to inform the development of evidence-based strategies for improving both health outcomes and decision-making competencies among student-athletes.

methodsAn experimental pretest/posttest control-experimental research method was employed. Data were collected through structured questionnaires designed to assess attitudes, subjective norms, and perceived behavioral control - different aspects of the decision-making process - as well as the physical activities of the participating university athletes. DATA ANALYSIS: The data collected from the pretests and posttests were analyzed through descriptive statistics (Mean and SD) and inferential statistics (MANCOVA) to compare the mean scores of the control and experimental groups on all study variables.

resultsThe results showed that following an educational intervention, the experimental group demonstrated significantly improved scores in attitudes, subjective norms, perceived behavioral control, decision-making process, and physical activity measures, suggesting the effectiveness of the intervention. In contrast, the control group unexpectedly exhibited higher social resistance scores, potentially indicating unintended effects.

conclusionsThis study highlights the effectiveness of educational interventions in enhancing key determinants of planned behavior and promoting physical activity among university athletes. By establishing a direct link between TPB-based training and measurable improvements in decision-making and behavioral outcomes, the study provides actionable insights for coaches, educators, and sports psychologists seeking to foster more autonomous, health-conscious, and strategically capable athlete populations.

Indexed as

AthletesDecision MakingExerciseStudentsAdultFemaleHumansMalePsychological TheorySurveys and QuestionnairesTheory of Planned BehaviorUniversitiesYoung AdultDecision makingPhysical activitiesPlanned behaviorUniversity athletes

Identifiers

PMID41366698
PMCPMC12690960

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.