The association between overweight and school policies on physical activity: a multilevel analysis among elementary school youth in the PLAY-On study
Why this work is in the frame
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Bibliographic record
Abstract
The objective is to examine school-level program and policy characteristics and student-level behavioural characteristics associated with being overweight. Multilevel logistic regression analysis were used to examine the school- and student-level characteristics associated with the odds of a student being overweight among 1264 Grade 5-8 students attending 30 elementary schools in Ontario, Canada. Data were derived from the Physical Activity of Youth in Ontario Schools host study. Significant between-school random variation in overweight was identified [σ²(μ0)=0:187 (0:084), P < 0.001]; school-level differences accounted for 5.4% of the variability in the odds of a student being overweight versus a normal weight. A student attending a school that was in the action phase for the school-level construct 'Availability and use of interschool programs' was significantly less likely to be overweight than a similar student attending a school that was in the initiation phase for this construct. Important student-level characteristics included physical activity (PA) and gender. Developing a better understanding of the school- and student-level characteristics associated with overweight among youth is critical for informing school-based prevention policies. Future research should evaluate if implementing and promoting interschool PA programming, and which types of interschool activities, are effective in preventing or reducing overweight.
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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 | 0.004 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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