ArticlePeerJ2025
Demographics and physical and mental health of clients at a sports center with and without exercise addiction.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Exercise addiction: A review and evaluation of current research and theory.Journal of behavioral addictions · 2026Review
- Exercise Enjoyment and Exercise Addiction Risk Among Turkish Adults: Associations and Subgroup Differences in a Cross-Sectional Survey.Healthcare (Basel, Switzerland) · 2026Article
- Awareness of exercise addiction and exercise motivation attitudes: a cross-sectional study.Frontiers in sports and active living · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: While exercise is widely recognized for its health benefits, excessive engagement can lead to exercise addiction (EA), a behavioral condition characterized by compulsive and harmful physical activity. Limited research exists on the demographic, physical, and mental health profiles of individuals with EA. This descriptive cross-sectional study examines demographic factors and related health outcomes among clients at a university sports center with and without EA. Methods: A total of 386 participants were randomly recruited through convenience sampling at the Chulalongkorn University Sports Center in Bangkok, Thailand. EA, physical well-being, and mental well-being were assessed using the Exercise Addiction Inventory (EAI), the Knee and Osteoarthritis Outcome Score (KOOS), and the Questionnaire for Eudaimonic Well-Being (QEWB), respectively. Demographic and exercise-related variables, psychological well-being, and knee outcomes were compared between participants with and without EA using Chi-square tests. Logistic regression analysis was performed to identify predictors of EA. Results: The majority of participants were male (55.2%), with a mean age of 27.5 years (SD = 10.9). Among the 386 participants, 322 (83.4%) exhibited partial symptoms, and 35 (9.1%) exhibited full symptoms of EA. Full symptoms of EA were significantly associated with gender, exercise frequency, smoking status, hours spent walking, hours spent in other sports, cognitive focus on metabolism during exercise, and poor knee outcomes ( Conclusions: EA was prevalent among clients at the sports center and was associated with adverse knee outcomes. Being male was identified as a key predictor of EA. Future research should explore additional factors associated with EA and its effects on physical and mental health.
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