ArticleBMC public health2025
Association of football athlete engagement profiles with adolescent mental health - a latent profile analysis.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The influence of interpersonal competence on smartphone addiction: the moderating role of football participation.BMC psychology · 2026Article
- The Impact of Upward Social Comparison on Smartphone Addiction Among Adolescents: The Moderating Role of Football Participation.Behavioral sciences (Basel, Switzerland) · 2026Article
- How soccer team students shape adolescent athlete engagement: evidence from an actor-partner interdependence model.Frontiers in public health · 2026Article
- Passion, Motivation, and Well-Being in Young Footballers: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Adolescent Athlete Engagement and Team Cohesion in Football: A Moderated Mediation Model with Gender-Based Insights.Behavioral sciences (Basel, Switzerland) · 2025Article
- Promoting effects of campus football activities on the enhancement of adolescents' psychological qualities and the underlying mechanisms.Frontiers in psychology · 2025Article
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Abstract
backgroundAdolescent mental health has become an important issue of global concern. Participation in sports, particularly team sports, is closely associated with improved adolescent mental health. However, the relationship between team sports participation and mental health is complex and varies across individuals. The current study was not able to clearly identify the mental health benefits associated with team sports among different individuals.
methodsA cross-sectional study was conducted across 64 schools in China, involving a total sample of 1,659 adolescents (M age = 12.51 years, SD = 2.285). Athlete engagement was assessed using the Athlete Engagement Questionnaire (AEQ), which measures four dimensions: self-confidence, vigor, dedication, and enthusiasm. Latent Profile Analysis (LPA) was employed to identify distinct athlete engagement profiles in football. In addition, the association between the identified latent profiles and major demographic characteristics was examined using the robust three-step method (R3STEP). Based on the Dual-Factor Model (DFM) of mental health, adolescents; mental health status was assessed using the Self-Esteem Scale and the Self-Rating Depression Scale (SDS). Finally, the relationship between different athlete engagement profiles and mental health outcomes was analyzed using the three-step Bolck-Croon-Hagenaars (BCH) method.
resultsLatent Profile Analysis revealed that a three-profile model was most suitable: high engagement profile (Class 1, 46.2%, n = 766), moderate engagement profile (Class 2, 41.7%, n = 692), and low engagement profile (Class 3, 12.1%, n = 201). Furthermore, gender, level of school, and residence were key demographic predictors of profile membership. However, weekly training duration and years of football experience were not predictors of profile differences. Moreover, compared to the moderate and low engagement profiles, the high engagement profile exhibited the highest self-esteem and lowest depression symptoms.
conclusionApplication of LPA allows for a more differentiated understanding of how football participation impacts adolescent mental health within homogeneous subgroups. This, in turn, provides a theoretical basis for formulating personalized and multi-level intervention measures.
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