Interventions for Health and Well-Being in School-Aged Children and Adolescents: A Way Forward
Bibliographic record
Abstract
The health and well-being of school-aged children has received little attention compared with younger children aged < 5 years and adolescents. In this final article in a supplement of reviews that have assessed the effectiveness of interventions for school-aged children across a variety of health-related domains (including infectious diseases, noncommunicable diseases, healthy lifestyle, mental health, unintentional injuries, and sexual and reproductive health), we summarize the main findings and offer a way forward for future research, policy, and implementation. We complement this evidence base on interventions with a summary of the literature related to enabling policies and intersectoral actions supporting school-aged child health. The school represents an important platform for both the delivery of preventive interventions and the collection of data related to child health and academic achievement, and several frameworks exist that help to facilitate the creation of a health-promoting environment at school.
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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 | 0.042 | 0.064 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.019 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.013 | 0.019 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".