Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco
Bibliographic record
Abstract
OBJECTIVE: In Morocco, the association between obesity/overweight and socio-demographic and lifestyle factors is poorly understood. The present study aimed to investigate this association in a representative sample of the Moroccan population aged 18 years and above. DESIGN: This is a cross-sectional study using a questionnaire including demographic, socio-economic and physical activity items. Height and weight were measured and BMI was computed. The association between obesity (BMI ≥ 30.0 kg/m2) or overweight (25.0 ≤ BMI < 29.9 kg/m2) and the other variables was analysed using multiple binomial logistic regression, separately in men and women. SETTING: The whole Moroccan territory. SUBJECTS: A total of 2891 subjects took part in the survey (1430 men and 1461 women). RESULTS: The prevalence of obesity was 20.9 % in women and 6.0 % in men (P < 0.0001). The prevalence of overweight was 32.9 % in women v. 26.8 % in men (P < 0.0001). In women, the risk of obesity and overweight increased with age, with the highest risk being in individuals aged 45-54 years (OR = 3.02, 95 % CI 2.06, 4.44) compared to individuals <35 years old. Married women were more prone to obesity and overweight (OR = 2.42, 95 % CI 1.50, 3.91) than single women. In men, the risk of obesity and overweight increased with average family income (OR = 2.62, 95 % CI 1.40, 4.87 for family income ≥5000 MAD/month compared to <2000 MAD/month) and in married persons (OR = 3.75, 95 % CI 1.78, 7.81) compared to single individuals. CONCLUSIONS: These results contribute to target groups in whom prevention programmes could be implemented.
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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) | 0.000 | 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".