Middle Childhood Sport Participation Predicts Timely Long-Term Chances of Academic Success in Boys and Girls by Late Adolescence
Bibliographic record
Abstract
INTRODUCTION: School-aged children experience successive academic demands that increase over time. Extracurricular sport develops skills that involve physical movement, social rules, formal practice, and rational competition. This may facilitate success. PURPOSE: Using a prospective-longitudinal birth cohort of 746 girls/721 boys, we examined prospective associations between middle childhood sport participation with subsequent indicators of academic success in adolescence. We hypothesized that persistent participation would promote long-term achievement indicators. METHODS: Mothers reported on whether the child participated in sporting activities with a coach/instructor from ages 6 to 10 yr. Developmental trajectories of participation were generated using longitudinal latent class analysis and then used to predict outcomes. From ages 12 to 17 yr, youth self-reported on academic indicators of success over the last 6 months. These were linearly regressed on trajectories of participation in sport, while controlling for preexisting and concurrent child/family confounds. RESULTS: Children's sport participation from kindergarten to fourth grade predicted long-term chances of academic success in boys and girls, above and beyond individual/family confounders. Consistent participation predicted increments indicators of future success and reductions in academic failure and dropout risk through to the senior year of secondary school, ranging from 9.1% to 21.3% for girls and 11.7% to 22.9% for boys. CONCLUSIONS: We provide compelling and timely evidence of long-term associations between children's sport participation and subsequent indicators of academic success in typically developing boys and girls by late adolescence. Persistent sport involvement in sport increased educational prospects by late adolescence, potentially improving opportunities for success in emerging adulthood.
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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 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".