Promoting Physical Activity Through Youth Sports Programs: It’s Social
Bibliographic record
Abstract
Youth sport is a key physical activity opportunity for children and adolescents. Several factors influence youth sport participation, including social factors, but this has not to date been clearly delineated. This study is a scoping review to survey the literature on the influence of family and peers on youth sports participation. The review identified 111 articles of which the majority were cross-sectional, included boys and girls, and were conducted primarily in the United States, Canada, Australia, and the United Kingdom. The articles were grouped into 8 research themes: (1) reasons for participation, (2) social norms, (3) achievement goal theory, 4) family structure, (5) sports participation by family members, (6) parental support and barriers, (7) value of friendship, and (8) influence of teammates. Friendships were key to both initiation and maintenance of participation, parents facilitated participation, and children with more active parents were more likely to participate in sport. Less is known on how family structure, sibling participation, extended family, and other theoretical frameworks may influence youth sport. The review suggests that social influences are important factors for ensuring participation, maximizing the quality of the experience, and capitalizing on the benefits of youth sport. Future research studies, programs, and policies promoting and developing evidence-based youth sporting experiences should consider social influences on youth sport participation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".