Factors Associated With Overweight and Obesity Among Kuwaiti Men
Bibliographic record
Abstract
Obesity is a global epidemic and has become a critical issue in Gulf countries such as Kuwait. The objective of this study is to assess the factors that are associated with overweight and obesity among Kuwaiti adult men. Weights and heights of a random sample of 464 men and their companions were collected to obtain body mass index (BMI). The overall levels of overweight and obesity were 48.5% and 19.8%, respectively. Logistic regression analysis of significantly associated factors revealed that factors contributing to risk of overweight and obesity included increasing age, having an obese mother or brother(s) and/or other obese relatives, having a lower grade point average, not being physically active, and being in poor health. Having a higher income and feeling tired were risk factors for obesity only. Family history is an important predictor of overweight and obesity in Kuwaiti men; however, this study identified several modifiable factors. It is recommended that factors that contribute to the development of overweight and obesity in Kuwait be targeted with behavioral change and/or health education interventions.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".