A randomised controlled school-based nutritional intervention in five Middle Eastern countries: Ajyal Salima improved students’ dietary and physical activity habits
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to measure the impact of the Ajyal Salima school intervention on nutrition and physical activity outcomes in children aged 9–11 years. DESIGN: The study was a 1-year cluster-randomised controlled trial. Ajyal Salima used a multi-component approach including classroom activities, family programme and food service adaptation. Outcomes included daily intake of breakfast, frequency of healthy and unhealthy food consumption, frequency of physical activity, knowledge score and self-efficacy score. Intervention and control groups were compared for all main outcomes and a post-intervention qualitative evaluation assessed strengths and limitations of the intervention components. SETTING: Schools in five countries – Lebanon, Jordan, Palestine, Saudi Arabia and Bahrain. PARTICIPANTS: Schools were selected by Ministries of Health and Education within their jurisdictions. Forty-five intervention schools (6052 students) and forty-six control schools (6200 students) were included in the analysis. RESULTS: The intervention group had a significantly higher odds of consuming breakfast daily (OR 95 % CI = 1·60, 1·35, 1·90), consuming healthy foods (OR 95 % CI = 1·60, 1·39, 1·84) and a decreased odds of consuming unhealthy foods and sweetened beverages (OR, 95 % CI = 0·70, 0·60, 0·81). Additionally, school children in the intervention group, as compared with the control group, were 47 % more likely to exercise outside school hours (OR 95 % CI = 1·47, 1·23, 1·76). Lastly, children in the intervention group had a significantly improved nutritional knowledge score and improved self-efficacy by 1·3 score unit and 1·1 score unit, respectively. CONCLUSIONS: The Ajyal Salima intervention led to significant improvements in dietary and physical activity habits among school children and increased nutritional knowledge scores.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".