Is the Provision of Physical Education to Senior-Years Students Associated With Greater Physical Activity Levels? Insight Into a Province-Wide Policy
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study was to determine if participation in physical education (PE) was associated with increased moderate-to-vigorous physical activity (MVPA) levels in adolescents. METHODS: This was a cross sectional study comparing MVPA levels in senior-years students-grade 11 and 12-enrolled in high school PE during the semester data were collected compared with those not enrolled in PE in that same semester. The primary outcome measure was daily MVPA measured by accelerometry. The primary exposure was participation in PE. RESULTS: Among the 508 adolescents (16.9 ± 0.8 yrs, 49% female, n = 338 exposed to PE) studied, no differences in MVPA (47.0 ± 25.8 vs. 43.9 ± 25.0 mins/day, P = .25) or sedentary time (540.2 ± 94.7 vs. 550.2 ± 79.4 mins/day, P = .79) were noted between students enrolled in PE compared with students not enrolled in PE. Participation in PE was associated with a greater odds of achieving >60 minutes of MVPA daily (OR: 1.69; 95% CI: 1.04-2.75). This association was stronger among boys (OR: 2.4; 95% CI: 1.2-4.8) than girls (OR: 1.17; 95% CI: 0.5-2.7). CONCLUSION: Enrollment in PE in grade 11 or 12 is associated with modestly higher levels of MVPA and an increased likelihood of meeting PA guidelines among students in grades 11 and 12, particularly among boys.
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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 | 0.006 |
| 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 | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".