Epidemiological Profile of Obesity among Adults Aged 21 to 65 Years Living in Yopougon, Cocody and Abobo (District of Abidjan, Côte d’Ivoire)
Bibliographic record
Abstract
Objective: The study aims to establish the epidemiological profile of obesity in Abidjan. Methods: It was a cross-sectional study carried out in Côte d’Ivoire with 349 volunteers aged 21 to 65 years old and living in 330 households located in Yopougon, Cocody and Abobo, three Municipalities in the city of Abidjan. Results: Out of 349 participants, 90 or 25.8% were declared obese according to BMI. Based on IMG, 62.8% of people had abnormally high body fat. Abdominal obesity was more common in Yopougon and Cocody than in Abobo. Relative to BMI, 36.1% of women were obese compared to 12.9% of men. The same observation was made with regard to the umbilical perimeter. Indeed, abdominal obesity was more observed in women with a rate of 52.6% compared to 11.6% in men. 35.6% of obese people have no level of education. According to the respondents, a very high proportion of weight gain occurred after the age of 10. It was between 10 and 21 years old in Yopougon and Cocody and between 18 and 21 years old in Abobo. More than 70% of obese people living in Yopougon, Cocody and Abobo would not consider obesity as a disease while 40.7% have said they were very little informed about obesity. Conclusion: Two major points have emerged from the examination of the data collected: 1) The prevalence of overweight and obesity remains very high in the three Communes of Abidjan. 2) The occurrence of obesity would be influenced by the sociodemographic characteristics of the populations. Also, updating these sociodemographic characteristics is essential to better adapt national strategies for obesity and overweight combating.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".