The impact of exercise training on endothelial function in postmenopausal women: a systematic review
Bibliographic record
Abstract
NEW FINDINGS: What is the topic of this review? The aim of this systematic review was to evaluate and summarize all published literature examining the impact of various exercise training interventions on endothelial function in postmenopausal women. What advances does it highlight? There was a moderate effect of training on macrovascular and microvascular endothelial function and just under two-thirds of studies demonstrated a significant increase in at least one measure of endothelial function in postmenopausal women. Factors including exercise intensity and duration, vessel type, clinical status, hormone therapy, and menopausal status may influence the effects of training on endothelial function in postmenopausal women. ABSTRACT: Women experience a rapid decline in endothelial function during menopause. Therefore, it is important to explore interventions, such as exercise training, that may prevent endothelial dysfunction in postmenopausal women. The aim of this systematic review was to evaluate and summarize all published literature examining the impact of various exercise training interventions on endothelial function in postmenopausal women. Three electronic databases (MEDLINE, EMBASE and Web of Science) were used to systematically select studies related to exercise training, endothelial function and postmenopausal women. The major initial and secondary update systematic searches yielded 502 unique articles that were screened for eligibility. Thirty-five studies were included in the systematic review. Two-thirds of all studies demonstrated a group-level increase in at least one measure of endothelial function with training. Most studies investigating biomarkers of endothelial function showed improvement in at least one measured biomarker post-training. There was a moderate effect of training on both macrovascular and microvascular endothelial function in observational and randomized intervention studies. Variability in study designs, training protocols and participant characteristics make it difficult to directly compare studies. Factors including exercise intensity and duration, vessel type, clinical status, hormone therapy, and menopausal status may contribute to the inconsistent effects of training on endothelial function in postmenopausal women. Future research is needed in this population to understand the mechanisms driving inter-study and inter-individual differences in training-induced changes in endothelial function.
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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) | 0.003 | 0.001 |
| 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) | 0.000 | 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".