Comparing Physical Activity Behavior of Children During School Between Balanced and Traditional School Day Schedules
Bibliographic record
Abstract
BACKGROUND: Some Canadian schools have modified their daily schedules from the traditional school day (TSD) schedule (two 15-minute breaks and one 60-minute break) to a balanced school day (BSD) schedule (two 40-minute breaks). While this change increases daily planning and instructional time, it also changes the amount of time available for moderate-vigorous physical activity (MVPA). METHODS: This study uses a case-control design to examine differences in objectively measured MVPA between children in 3 schools using a BSD schedule and 3 schools using a TSD schedule. Study participants (aged 10-12 years) were recruited from schools in Ontario, Canada. RESULTS: Regardless of schedule type, girls had lower MVPA than boys, and as both boys and girls got older their MVPA significantly decreased. The findings indicate there was no statistically significant difference in the total minutes of in-school MVPA between children from BSD schools and children from TSD schools. MVPA was significantly higher for older girls attending BSD schools than older girls attending TSD schools, suggesting that implementing a BSD may help curb declining MVPA as girls enter adolescence. CONCLUSION: Despite encouraging findings, more rigorous studies (ie, pre-post experiments with control) are needed to better understand how changing schedules impacts children's 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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".