Predictive Factors for Compulsive Exercise in Adolescent Athletes: A Cross-Sectional Study
Bibliographic record
Abstract
Although exercise is generally considered a healthy lifestyle habit, it may be problematic for some people. This has led to growing research on compulsive exercise—an uncontrollable urge for physical activity despite its deleterious effects. A maintenance model of compulsive exercise has been developed for adults exhibiting weight and shape concerns, weight control behaviors, and specific psychological states (including depression and anxiety) as predictive factors. We identified predicting factors for compulsive exercise in adolescent athletes using the same model framework. These athletes completed the compulsive exercise test and several well-validated psychometric measures. Gender-specific multiple regression models identified stronger drive for thinness, perfectionism, and body image investment in sport as significant predictors of compulsive exercise in boys and girls. Among girls, asceticism and bulimia symptoms were also significantly associated with compulsive exercise. These findings support the relevance of the model for clinical intervention and research on compulsive exercise in adolescent athletes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".