Associations Between School Recreational Environments and Physical Activity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: School environments may promote or hinder physical activity in young people. The purpose of this research was to examine relationships between school recreational environments and adolescent physical activity. METHODS: Using multilevel logistic regression, data from 7638 grade 6 to 10 students from 154 schools who participated in the 2005/06 Canadian Health Behaviour in School-Aged Children Survey were analyzed. Individual and cumulative effects of school policies, varsity and intramural athletics, presence and condition of fields, and condition of gymnasiums on students' self-reported physical activity (>or=2 h/wk vs <2 h/wk) were examined. RESULTS: Moderate gradients in physical activity were observed according to number of recreational features and opportunities. Overall, students at schools with more recreational features and opportunities reported higher rates of class-time and free-time physical activity; this was strongest among high school students. Boys' rates of class-time physical activity were 1.53 (95% confidence interval (CI) = 1.12-1.80) times as high at high schools with the most recreational features as at schools with the fewest. Similarly, girls' rates of free-time physical activity at school were 1.62 (95% CI: 0.96-2.21) times as high at high schools with the most opportunities and facilities as compared to schools with the fewest. Modest associations were observed between individual school characteristics and class-time and free-time physical activity. CONCLUSIONS: Taken together, the cumulative effect of school recreational features may be more important than any one characteristic individually.
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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 | 0.000 | 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 | 0.001 |
| 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 it