Resistance Band Exercise: An Effective Strategy to Reverse Cardiometabolic Disorders in Women With Osteosarcopenic Obesity
Bibliographic record
Abstract
We designed to evaluate the effects of resistance elastic band exercises (REBEs) on cardiometabolic/obesity-related biomarkers in older females with osteosarcopenic obesity. Sixty-three patients (aged 65-80 years) with osteosarcopenic obesity and a body mass index exceeding 30 kg/m2 were enrolled in the study. The participants were randomly assigned to either an experimental group (REBE, n = 32) or a usual care group (n = 31). The experimental group completed a 12-week REBE program, three times a week and 60 min per session. There were decreases in lipid accumulation product (p = .033), visceral adipose index (p = .001), triglyceride-glucose-body mass index (p = .034), and atherogenic index of plasma (p = .028) in the experimental group compared with the usual care group. Our findings highlight the importance of an REBE program in improving combined cardiometabolic/obesity-related indices in older women with osteosarcopenic obesity. The incorporation of an REBE program may benefit individuals who are unable to tolerate or participate in more strenuous exercise programs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".