Sport participation and its association with social and psychological factors known to predict substance use and abuse among youth: A scoping review of the literature
Bibliographic record
Abstract
This article presents the results of a scoping review of the sport literature (2000-2014) on psychological and social outcomes relevant to youth alcohol and illicit drug use. Prior reviews report that sport is related to increased alcohol use and reduced illicit drug use among youth, yet provide little guidance regarding the mechanisms that can explain this relationship. We reviewed the literature on sport participation and psychological and social outcomes to identify factors that could help explain this link. Psychological and social factors were selected as they play a paramount role in understanding youth alcohol and drug use. Fifty-nine articles were identified and included in the review. The literature generally supported connections between sport and positive psychological and social outcomes, including self-esteem, self-regulation, general life skills, and pro-social behaviour. Yet limitations in the methods and measures limit the ability to draw conclusions from the literature. In addition, the diversity of youth and sport was generally ignored in the literature. This article suggests a number of directions for future research that might improve our understanding of how sport impacts psychological and social outcomes along with alcohol and illicit drug use.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".