Associations Between Kindergarten Participation in Organized Physical Activity and Subsequent Healthy Body Weight and Leg Strength by the End of Second Grade
Bibliographic record
Abstract
BACKGROUND: Childhood sport helps children develop growth and maturation, while simultaneously offering self-regulation, motor, and social skills training. This study aims to estimate the influence of sport participation at age 6 years on indicators of health at age 8 years, using a prospective longitudinal birth cohort design. METHODS: Participants were 1492 children aged 6-8 years from the Quebec Longitudinal Study of Child Development. Lower muscular power was measured with the standing long jump test. Girth used the children's waist circumference in centimeters. Body mass index was computed from child height and weight. We regressed these directly measured health indicators at age 8 years on parent-reported physical activity at age 6 years using linear Ordinary Least Squares regression. RESULTS: Boys who participated in more physical activity at age 6 years had better lower muscular power (b = 2.368; 95% CI, 0.341 to 4.395) and higher body mass index (b = 0.340; 95% CI, 0.055 to 0.626). No significant results were found for girls. CONCLUSIONS: Our findings suggest that physical activity in kindergarten has a positive impact on muscular power by the end of the second grade in boys. This supports the pertinence of implementing physical activity to a routine early in life to help children improve their general health.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".