Metabolic profile and quality of life in class I sarcopenic overweight and obese postmenopausal women: a MONET study
Bibliographic record
Abstract
Sarcopenia is believed to be associated with disability and metabolic complications. The objective of this study was to examine the metabolic and quality-of-life profile of sarcopenic overweight and obese postmenopausal women. In this cross-sectional study of 136 healthy overweight and obese postmenopausal women, 9 class I sarcopenic women were identified. Class I sarcopenia was defined as an appendicular lean body mass index (ALBMI) ≤ 6.44 kg·m–2 (appendicular lean body mass/height). Outcome measures were body composition (dual energy X-ray absorptiometry and computed tomography), blood lipids, inflammation markers, blood pressure, insulin sensitivity (homeostasis model assessment and hyperinsulinemic-euglycemic clamp), cardiorespiratory fitness, and quality of life (Medical Outcomes Study General Health Survey questionnaire). By design, class I sarcopenic women (n = 9) had a significantly lower ALBMI and appendicular lean body mass than nonsarcopenic women (n = 127). In addition, class I sarcopenic women tended to have lower levels of insulin resistance (p = 0.070) and fasting glucose (p = 0.054). However, no difference between the groups was observed for quality of life. This study showed that, in our sample of class I sarcopenic overweight and obese postmenopausal women, subjects did not present an unfavourable metabolic or quality-of-life profile, compared with nonsarcopenic overweight and obese postmenopausal women.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".