Predictors of the Use of Performance-Enhancing Substances by Young Athletes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To document the use of performance-enhancing substances (PES) by young athletes and to identify associated factors. DESIGN: Retrospective survey. SETTING: Self-reported anonymous questionnaire. PARTICIPANTS: Three thousand five hundred seventy-three athletes (mean age, 15.5 years) from Quebec provincial teams run by organizations recognized by the Government of Quebec. INTERVENTIONS: All subjects filled out a validated questionnaire on factors associated with the use of and the intention to use PES. MAIN OUTCOME MEASURES: The use of and intention to use PES. RESULTS: In the 12 months before filling out the questionnaire, 25.8% of respondents admitted having attempted to improve their athletic performance by using 1 or more of 15 substances that were entirely prohibited or restricted by the International Olympic Committee. Multiple regression analyses showed that behavioral intention (beta = 0.34) was the main predictor of athletes' use of PES. Attitude (beta = 0.09), subjective norm (beta = 0.13), perceived facilitating factors (beta = 0.40), perceived moral obligation (beta = -0.18), and pressure from the athlete's entourage to gain weight (beta = 0.10) were positively associated with athletes' behavioral intention to use PES. CONCLUSIONS: This study provides evidence that supports the predicting value of the theory of planned behavior. Results suggest that the athlete's psychosocial environment has a significant impact on the decision to use PES and support the need to integrate this factor into the development and implementation of prevention interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it