High School Intramural Participation and Substance Use: A Longitudinal Analysis of COMPASS Data
Bibliographic record
Abstract
Background There is an association between sports participation and substance use. However, there is some evidence that intramural sports in high school may not have the same effect. Therefore, the objective of this research was to examine the longitudinal associations between intramural participation in high school and substance use. Methods: This study used a three-year linked sample (2016-2018) of grade 9 and 10 (ages 13-17) Canadian high school students in the COMPASS (Cannabis use, Obesity, Mental health, Physical activity, Alcohol use, Smoking, Sedentary behavior) study (n = 7,845). Students reported their participation in intramurals over time (consistent, none, initiate, intermittent, and quit) and their substance use behaviors (binge drinking, cannabis use, cigarette use, and e-cigarette use). Mixed effects models were used. Results: 42% of students did not participate in intramurals. For binge drinking, male students who never participated had lower odds (0.66 [0.47-0.93]) compared to consistent intramural participators. Female (3.50 [CI: 1.34-9.16]) and male students (1.97 [1.28-3.02]) who did not participate in any intramurals were more likely to use cannabis than consistent participators. Male students who did not participate were also more likely to use cigarettes (1.81 [1.05-3.12]). No associations were found between intramural participation and e-cigarette use. Conclusion: Intramural participation may be associated with increased binge drinking among male high school students. More promisingly, consistent participation in intramurals may be protective against cannabis use among male and female students and cigarette use among male students.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".