Prevalence and determinants of overweight/obesity among school-aged adolescents in the United Arab Emirates: a cross-sectional study of private and public schools
Bibliographic record
Abstract
OBJECTIVES: To estimate the prevalence and predictors of obesity among adolescents in the United Arab Emirates. DESIGN: Cross-sectional study. SETTING: Private and public secondary schools. PARTICIPANTS: Adolescents aged 13-19 years; 434 (46.6%) from private schools and 498 (53.4%) from public schools. MEASURES: Self-report questionnaires were used to assess adolescents' sociodemographic factors, fruit/vegetable (F/V) intake and physical activity. Participants' weight, height, waist circumference (WC), hip circumference and body fat percentage (%BF) were measured, and waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body mass index (BMI) were calculated. Overweight/obesity was determined by BMI ≥85th percentile for age, abdominal obesity (AO) (WC, WHtR and WHR) and %BF. RESULTS: A total of 34.7% of participants were overweight/obese (BMI ≥85th percentile) and 378 (40.6%) had high %BF. AO was noted in 47.3%, 22.7% and 27.1% of participants, based on WC, WHR and WHtR, respectively. Significantly more participants from public schools were overweight/obese (37.8% vs 31.1%) and had greater AO (based on WC, WHR, WHtR) compared with those from private schools. Predictors of obesity based on BMI were: consuming less than five servings of F/V (adjusted OR (AOR) 2.41, 95% CI: 1.73 to 3.36), being physically inactive (AOR 2.09, CI: 1.36 to 3.22) and being men (AOR 3.35, 95% CI: 2.20 to 5.10). Predictors of AO were being men (WC: AOR 1.42, 95% CI: 1.01 to 2.00; WHtR: AOR 2.72, 95% CI: 1.81 to 4.08); studying at public school (WHR: AOR 1.67, 95% CI: 1.06 to 2.66); being Emirati (WHR: AOR 0.62, 95% CI: 0.43 to 0.90); consuming less than five servings of F/V (WC: AOR 1.71, 95% CI: 1.27 to 2.30; WHtR: AOR 1.46, 95% CI: 1.05 to 2.03), and being physically inactive (WC: AOR 1.63; 95% CI: 1.13 to 2.35). CONCLUSIONS: Focused interventions are needed to combat obesity while considering AO indicators and BMI to diagnose obesity in adolescents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".