Childhood Overweight and Obesity in Morocco: A Systematic Review
Bibliographic record
Abstract
Introduction: Childhood overweight and obesity have become pervasive forms of malnutrition affecting Moroccan children, exerting significant impacts on their physical growth and psychological development. Objective: This study aims to conduct a comprehensive assessment of the epidemiological landscape surrounding childhood overweight and obesity in Morocco. Additionally, it seeks to evaluate the efficacy of national strategies and nutrition programs implemented by the Moroccan Ministry of Health. Methods: This study gathered data from reputable sources, employing a systematic review approach, including Pubmed, Science Direct, Scopus, and Google Scholar databases. The selected articles focused on overweight and obesity within the Moroccan population, with the search period spanning from 2010 to 2020. Results: The study unveiled many factors associated with childhood overweight and obesity. Intriguingly, overweight is not always synonymous with childhood obesity, though it remains a critical contributing factor. Conclusion: Childhood overweight and obesity in Morocco show severe forms of malnutrition, eliciting significant concerns within the Moroccan academic community. An urgent imperative is to enhance existing strategic plans to address this issue effectively.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| 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".