Impact of a school-based intervention program on obesity risk factors in Mexican children
Bibliographic record
Abstract
Objetivo. Evaluar el impacto de una intervención de 18 meses para la prevención de obesidad en escolares de 4o y 5o grados basada en el modelo ecológico en conductas saludables en México. Material y métodos. Diseño experimental para asignar 27 escuelas a uno de los tres tratamientos: intervenciones básicas, intervenciones plus y control. Se midió el impacto en el ambiente escolar, la alimentación y la actividad física e índice de masa corporal en niños. La evaluación se llevó a cabo en dos años en 830 estudiantes. Resultados. En las escuelas de intervención, la disponibilidad de alimentos sanos aumentó y la disponibilidad de alimentos poco saludables disminuyó. La ingesta de alimentos en niños no mostraron las mismas tendencias. En las escuelas de intervención, los niños no participaron más en actividad física moderada y vigorosa. La prevalencia de obesidad no se modificó. Conclusión. La intervención mejoró el entorno alimentario escolar y las conductas saludables de alimentación y actividad física. * The project was supported by the Pan American Health Organization (PAHO), the HLHP program of the International Life Science Institute (ILSI), the Mexican Council for Science and Technology (Conacyt), and the Mexican Ministry of Health (SSa). This work was carried out with support from the Global Health Research Initiative (GHRI), a collaborative research funding partnership of the Canadian Institute of Health Research, the Canadian International Development Agency, Health Canada, the International Development Research Centre, and the Public Health Agency of Canada.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".