Tackling childhood obesity through a school-based physical activity programme: a cluster randomised trial
Bibliographic record
Abstract
The present study aimed to evaluate the efficacy of a theory- and evidence-based intervention for promoting physical activity (PA) among children by changing PA-related psychosocial variables and reducing obesity and screen time outside school hours. A cluster randomised trial was conducted on two Lebanese elementary schools involving 374 children aged 10–12 years. While a control group received the standard curriculum, an intervention group received a 14-week school-based intervention comprising changes in the school environment, increased opportunities for PA provided by educational staff and PA-related learning activities. Measures included PA, psychosocial and obesity-related variables [body mass index (BMI), waist circumference and screen time outside school hours]. Measures were evaluated before the first week and in the last week of the intervention. Compared with the control group, significant increases were observed in the general PA levels and proportion of physically active children within 1 week. The proportion of children engaged in ≥30-min daily school-based moderate-to-vigorous PA MVPA increased from 0% to 67%. The intervention group showed significant improvement in almost all psychosocial variables. The children’s BMI class and waist circumference significantly reduced with the intervention. The intervention was effective in increasing the children’s general PA levels and school-based MVPA and in decreasing BMI and waist circumference.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".