Effectiveness of a school-based program focusing on diet and health habits taught through physical exercise
Bibliographic record
Abstract
The global rate of obesity in childhood is becoming an epidemic and many authors have established a significant association between childhood obesity and overweight in adulthood. It is therefore necessary to seek effective strategies to reduce these levels of obesity. The aim of this study was to evaluate the impact of the Healthy Habits Program (HHP). The participants comprised 158 children from the fifth and sixth grades (intervention group, n = 82; control group, n = 76). The HHP is a school-based physical activity program focusing on promoting a healthy lifestyle. It lasted for 8 months, and measurements were taken at the beginning and end of the program. Physiological variables (total cholesterol, triglycerides, blood glucose, blood pressure, and maximal oxygen consumption), anthropometric variables (body mass index (BMI)) and behavioral variables (breakfast, quality of diet, meal frequency, physical activity, sedentary behavior, sleep, and perceived health) were evaluated. Repeated-measures ANOVA showed significant improvements (p < 0.05) after the intervention for the intervention group in triglycerides, blood glucose and maximal oxygen consumption. Significant improvements were also observed in breakfast habits and quality of diet. Finally, a significant improvement in prevalence of normal levels was observed for total cholesterol, blood pressure, and BMI. It can therefore be stated that the HHP is an innovative and useful school-based program that can help to improve diet and health in childhood.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".