Participation frequency in physical education classes and physical activity and sitting time in Brazilian adolescents
Bibliographic record
Abstract
INTRODUCTION: To examine the association between participation frequency per week in physical education (PE) classes and physical activity (PA) and sitting time levels in adolescents according to the economic development level of the region of residence. METHODS: A cross-sectional study with a sample representative of Brazil was carried out with 12,220 students aged 11-19 years. Participation frequency per week in PE classes, moderate-to-vigorous PA (MVPA), PA during PE classes, active commuting, PA outside of school hours, total accumulated PA, time sitting in front of the TV and total sitting time were assessed by using a self-administered questionnaire. RESULTS: Adolescents who reported having PE classes were more likely to meet MVPA recommendations (1-2 PE class/week-OR: 1.3, 95%CI: 1.1-1.5; ≥3 PE class/week-OR: 2.0, 95%CI: 1.7-2.5), spent more time in PA outside of school hours (1-2 PE class/week-OR: 1.6, 95%CI: 1.4-1.9; ≥3 PE class/week-OR: 2.0, 95%CI: 1.5-2.6), and accumulated more PA (1-2 PE class/week-OR: 1.9, 95%CI: 1.6-2.2; ≥3 PE class/week-OR: 6.0, 95%CI: 4.0-8.9) than students who reported not taking PE classes. Boys from regions with higher Human Development Index (HDI) who took ≥3 PE classes/week were more likely to have higher levels of active commuting (OR: 1.4, 95%CI: 1.1-1.9) and less likely of getting in front of TV (OR: 0.7, 95%CI: 0.5-0.9). Adolescents from regions with higher HDI were more likely to have more time spent in PA during PE classes (Male-OR: 2.7, 95%CI: 2.4-3.1; Female-OR = 3.2, 95%CI: 2.8-3.7). CONCLUSIONS: Having PE classes is associated with a higher level of PA in both sexes and in both regions and lower level of sitting time in boys from regions with higher HDI.
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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 | 0.000 | 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) | 0.002 | 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".