Incidence of Overweight and Its Predictors in Adults after 10 Years of Follow-up: Yazd Healthy Heart Project
Bibliographic record
Abstract
Background: Obesity and overweight are important public health problems which are rapidly growing throughout the world. This study aims to provide 10-year incidence estimates of obesity and overweight in adults along with their risk factors in an Iranian adult population. Methods: This cohort study was conducted within the framework of the Yazd Healthy Heart Project (YHHP) throughout phases from 2005-2006 to 2015-2016 among urban adult population. The participants comprised of 1000 males and 1000 females aged 20-74 years from urban areas of Yazd. Cox proportional hazards model was used to examine the potential risk factors for obesity and overweight. Results: A total of 2000 participants aged 47.09 ± 16.97 years and body mass index (BMI) of 21.99 ± 2.21 kg/m2 were entered in this study at baseline. After 10 years of follow-up, the cumulative incidence of overweight for the entire population was 38.6% (41.6% in women and 36.8% in men). Furthermore, the 10-year cumulative incidence of obesity was 14.8% in the population (20.8% for women and 10.5% for men). Female participants showed a significantly higher incidence rate compared to males either for obesity or overweight. Regarding risk factors, there was a significant association between non-smoking (HR= 1.54, 95% CI: 1.06-2.25), socio-economic status (HR= 1.82, 95% CI: 1.13-2.94), and education (HR= 1.56, 95% CI: 1.14-2.13) with overweight (P < 0.05). Conclusion: This study revealed the incidence rate of obesity and overweight is significantly high in adult population of Yazd, Iran especially in women. The most important predictors of overweight seem to be smoking, lower socio-economic status, and education.
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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".