Influence of Diet, Exercise, and Serum Vitamin D on Sarcopenia in Postmenopausal Women
Bibliographic record
Abstract
PURPOSE: The objective of this study is to investigate the effects of 12 months of dietary weight loss and/or aerobic exercise on lean mass and the measurements defining sarcopenia in postmenopausal women and to examine the potential moderating effect of serum 25-hydroxyvitamin D (25(OH)D) and age. METHODS: Four hundred thirty-nine overweight and obese postmenopausal women were randomized to diet modification (N = 118), exercise (N = 117), diet + exercise (N = 117), or control (N = 87). The diet intervention was a group-based program with a 10% weight loss goal. The exercise intervention was 45 min·d, 5 d·wk, of moderate-to-vigorous intensity aerobic activity. Total and appendicular lean mass (ALM) were quantified by dual x-ray absorptiometry at baseline and 12 months. A skeletal muscle index (SMI = ALM (kg) / height (m)) and the prevalence of sarcopenia (SMI <5.67 kg·m) were calculated. Serum 25(OH)D was assayed using a competitive chemiluminescent immunoassay. RESULTS: Dietary weight loss resulted in a significant decrease in lean mass and a borderline significant decrease in ALM and SMI compared with controls. In contrast, aerobic exercise significantly preserved ALM and SMI. Diet + exercise attenuated the loss of ALM and SMI compared with diet alone and did not result in significant loss of total mass or ALM compared with controls. Neither serum 25(OH)D nor age was significant moderators of the intervention effects. CONCLUSIONS: Aerobic exercise added to dietary weight loss can attenuate the loss of ALM during weight loss and may be effective for the prevention and treatment of sarcopenia among overweight and obese postmenopausal women.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".