Factors Influencing Childhood and Adolescent Obesity in the Arab Gulf States: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: About one third of the population in the Arab Gulf States are overweight and obese. Among children and adolescents, however, the prevalence of obesity is at rates higher than those reported worldwide. OBJECTIVES: The present study aims to systematically review and evaluate factors related to and affecting childhood and adolescent overweight and obesity in the Arab Gulf States. METHODS: We conducted a comprehensive and systematic search in PubMed, Ovid MEDLINE(R), Embase and Embase Classic to identify studies reporting on the risk factors of overweight and obesity in children and adolescent in the study region. RESULTS: We examined 22 studies and identified 12 reports to be included into this systematic review. The reviewed studies were from six Arab gulf States (Saudi Arabia, United Arab Emirates, Kuwait, Oman, Bahrain and Qatar) and examined 9,723 children. Approximately 30 different risk factors were identified from the selected studies. These were generally falling under six main risk factors including unhealthy eating habits, sedentary lifestyle, family-related factors, (particularly mother physical activities and food habits), child feeding practices during infancy, child sleeping pattern and low intake of or deficiency in micronutrients important for growth. CONCLUSION: This study further establishes several of the universal-and regional-specific risk factors that influence the increased prevalence of childhood and adolescent overweight and obesity in the Arab Gulf States. Consideration of these risk factors is critical for developing effective policies and practices that address this public health concern to curb and reverse the rise in its prevalence within the Gulf Region.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".