Effects of grape seed proanthocyanidin extract on menopausal symptoms, body composition, and cardiovascular parameters in middle-aged women
Bibliographic record
Abstract
OBJECTIVE: This study aims to assess the effects of proanthocyanidin-a class of polyphenol antioxidants extracted from grape seeds-on menopausal symptoms, body composition, and cardiovascular parameters in middle-aged women. METHODS: We conducted a randomized, double-blind, placebo-controlled study in 96 women aged 40 to 60 years who had at least one menopausal symptom. The study participants were randomized to receive grape seed extract tablets containing either low-dose (100 mg/d) or high-dose (200 mg/d) proanthocyanidin, or placebo, for 8 weeks. Their menopausal symptoms were evaluated using the Menopausal Health-Related Quality of Life Questionnaire, Hospital Anxiety and Depression Scale, and Athens Insomnia Scale before and after 4 and 8 weeks of treatment. Body composition and cardiovascular parameters were also measured. RESULTS: A total of 91 women (95%) completed the study. Background characteristics, including age, menopause status, subjective symptom scores, body composition, and cardiovascular parameters, were similar among the groups. The following significant changes were observed during the course of the study: (1) physical symptom score, hot flash score, and (2) Athens Insomnia Scale score decreased in the high-dose group after 8 weeks of treatment; (3) Hospital Anxiety and Depression Scale Anxiety score and (4) systolic and diastolic blood pressure decreased in the low-dose and high-dose groups after 4 weeks; and, (5) lastly, muscle mass increased in the low-dose and high-dose groups after 8 weeks of treatment. CONCLUSIONS: Grape seed proanthocyanidin extract is effective in improving the physical and psychological symptoms of menopause while increasing muscle mass and reducing blood pressure in middle-aged women.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".