Walking training in postmenopause
Bibliographic record
Abstract
OBJECTIVE: Because physical exercise has been widely used for primary and secondary preventions of cardiometabolic diseases arising with menopause, the aim of our study was to determine whether participation in aerobic physical exercise is linked to the modification of spontaneous physical activity and whether this compensation affects aerobic training-related body adaptations. METHODS: Both before and after a 13-week walking training program, 34 postmenopausal women (mean ± SD age, 55.89 ± 3.57 y) were analyzed for lipids, adipokines, glucose, and insulin plasma levels, as well as for body measures, heart rate and blood pressure at rest, maximal aerobic capacity, total daily energy expenditure, mean intensity of daily physical activities, and time and energy spent on physical activities with an intensity of more than three metabolic equivalents. RESULTS: Aerobic training induced significant reductions in body mass, body mass index, heart rate, systolic blood pressure, basal cardiac double product, plasma glucose, leptin, and resistin. Aerobic fitness, the reserve of the cardiac double product, and the quantitative insulin sensitivity index were significantly improved. Cluster analysis of the variations in the total daily energy expenditure, the mean intensity of daily physical activities, and the time and energy spent on physical activities with an intensity of more than three metabolic equivalents identified two subgroups: one showed reduced spontaneous physical activity (GROUP-), whereas the other did not (GROUP+). The subgroups differed significantly only for plasma lipid variation. GROUP+ showed significantly reduced low-density lipoprotein cholesterol and total cholesterol, whereas GROUP- did not show significantly modified plasma lipids. CONCLUSIONS: In postmenopause, participation in a program of aerobic physical exercise can result in a reduction of spontaneous physical activity, which inhibits the positive effects of the aerobic exercise on plasma lipids and lipoproteins.
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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) | 0.000 | 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".