Prevalence and Determinants of Obesity and Overweight Among Children and Adolescents in the Middle East and North African Countries: An Updated Systematic Review
Bibliographic record
Abstract
In recent years, the countries of the Middle East and North Africa (MENA) region have experienced alarming increases in the prevalence of childhood overweight and obesity. This updated systematic review sought to measure the prevalence and determinants of obesity and overweight among children and adolescents in MENA countries. A literature search for relevant observational studies published in English was conducted using PubMed, Web of Science, Google Scholar, and Saudi Digital Library. The risk of bias was evaluated using the Newcastle-Ottawa Scale. Twenty-one published articles during the past five years were included in the systematic review. Varied approaches were used to diagnose childhood overweight and obesity, including the International Obesity Taskforce (IOTF), Centre for Disease Control (CDC), World Health Organization (WHO), and Saudi Growth Pattern Curves. We found that the combined prevalence of childhood overweight and obesity in the Middle East is up to 49.4%, depending on the methods applied in their studies. Risk factors identified were age, male gender, lack of sufficient physical activity, consumption of fried food, perceived stress level, number of family members, family size, mother's occupation, education level, family history of obesity, high energy consumption from carbohydrates, ≥2 hours spent on watching television on weekend days with overweight, and always eating breakfast while watching television with obesity. The results of this review indicate that the issue of childhood and adolescent overweight and obesity in the Middle East is substantial and concerning. Most of the risk factors identified are modifiable and, if given appropriate attention, could significantly reduce the burden of associated chronic complications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".