Age, body composition analysis, and gender differences of morbidly obese Omani subjects
Bibliographic record
Abstract
Background: The World Health Organization has indicated that Gulf countries, including Oman, have the highest incidence of obesity. Objectives: This study aims to describe the changes in body composition values as an index among the morbidly obese population. We investigated the gender, age, and body mass index (BMI)-related differences in morbidly obese subjects. Methods: A retrospective, hospital-based study was carried out at the Royal Hospital, Muscat. Results: The study involved 104 morbidly obese subjects (35 males and 69 females) with a BMI ≥35 kg/m 2 . All enrolled study subjects were compared for their gender, BMI, and age. Significant trends were observed for body fat percentage, water percentage, muscle mass, basal metabolic rate, bone mass and visceral fat between different genders in general, and between different genders within the same age frame ( P < 0.05). No significant differences were observed within the same gender regarding changes in BMI and weight gain ( P > 0.05). Conclusion: Aging and changes in BMI have a significant effect on the body composition of morbidly obese individuals of different genders while showing no significant effects within the same genders.
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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 | 0.000 |
| 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) | 0.002 | 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".