Longer time after bariatric surgery and sedentary leisure modify anthropometric parameters, body composition and sarcopenic obesity markers in women
Bibliographic record
Abstract
Sarcopenic Obesity is known as a decrease in the quantity and quality of the skeletal muscle mass and increase in fat mass. It can be measured by the residual appendicular skeletal muscle mass (Ap SMM) based on the difference between actual and predicted values. Even though this condition is more common among sedentary elderlies, it may be present in subjects who underwent Bariatric Surgery (BS). We aimed to evaluate the influence of time after BS and physical activity level (PAL) during leisure time on anthropometric parameters, body composition and sarcopenic obesity markers in women. It is a cross-sectional study involving 42 women divided into two groups according to the time since BS and two groups according to PAL. Anthropometric variables, body composition, and sarcopenic obesity markers were assessed. The variables appendicular skeletal muscle mass, height, and fat mass were used to determine sarcopenic obesity markers. Non-parametric numerical tests were used for group comparison and significance level was set at p<0.05. Considering women with sedentary leisure only, those with longer time after BS had higher current body weight and BMI, waist and hip circumference, fat mass, fat-free mass, Ap SMM (equation, residual, and relative) (p<0.05). Considering women with longer time after BS only, sedentary ones had higher current body weight and BMI, waist circumference, fat mass, fat-free mass (relative only), Ap SMM (equation and relative) (p<0.05). Our data indicate that longer time after BS and sedentary leisure modify anthropometric parameters, body composition and sarcopenic obesity markers in women.
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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) | 0.001 | 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 | 0.001 |
| 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".