School and family-based interventions for promoting a healthy lifestyle among children and adolescents in Italy
Bibliographic record
Abstract
AIMS: Cardiovascular diseases affect adult population but risk factors develop as a result of known or assumed behavior since childhood. In Italy, up to 22.2% of children are overweight, 10.6% are obese, and 2.5% have severe obesity. METHODS: We performed a systematic review of the literature to identify studies and initiatives addressing health promotion among children in Italy. Given the high heterogeneity of interventions and outcomes assessed we opted to perform a qualitative synthesis of the results. We described also nonrandomized trial where the intervention of primary prevention was very innovative, explained in detail, and reached an improving outcome for participants. RESULTS: We identified 11 projects since 1983, only five were randomized control trials. Three involved children and teachers of primary and secondary schools and were based on specific curricular lectures about health. One was based on a game developed for high schools with the purpose to promote healthy lifestyle and physical activity. The fifth project was based on an enhanced physical activity program. CONCLUSION: Our results show that school and family should be considered as the privileged places for health promotion. In Italy, the development of scientific-validated lifestyle interventions for children is still an unmet need.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".