Healthy body, healthy mind: Long-term mutual benefits between classroom and sport engagement in children from ages 6 to 12 years
Bibliographic record
Abstract
Past research suggests that the relationship between health and schooling is axiomatic. Physical activity, including sport participation, putatively facilitates school performance. However, the direction of this link lacks clarity. We examine the mutual links between sport and classroom engagement in 452 boys and 514 girls from ages 6 to 12 years. Participants are from the Quebec Longitudinal Study of Child Development, a prospective-longitudinal birth cohort. First, trajectories of classroom engagement from ages 6 to 10 years, assessed by teachers, were generated using latent class analysis. Second, analyses of covariance (ANCOVAs) compared leisure time physical activity, self-reported by children at age 12 years, across trajectories of classroom engagement. Third, ANCOVAs compared classroom engagement, measured by teachers at age 12 years, across trajectories of extracurricular sport between ages 6 to 10 years. We identified two classroom engagement trajectories: 'High' (77%) and 'Moderate' (23%). For girls, being in the 'High' trajectory predicted significantly higher levels of physical activity (F(1, 966) = 5.21, p < .05). For boys, being in the 'Consistent participation' extracurricular sport trajectory predicted significantly higher levels of classroom engagement (F(1, 966) = 6.29, p < .05). Our analyses controlled for pre-existing individual and family factors. Our findings suggest that sport participation and engaged classroom behavior positively influence each other during childhood. They support the pertinence of investing financial resources in youth intervention so that children can develop their potential both in sporting contexts and in the classroom to foster optimal growth and development.
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.
How this classification was reachedexpand
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 | 0.003 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".