Bibliographic record
Abstract
PURPOSE: To determine whether physical activity is associated with a reduction in menopausal symptoms (hot flashes, insomnia, numbness, fatigue, headaches, psychological symptoms, urogenital symptoms and physical symptoms). We assessed a homogenous group of inactive women, to identify the minimal level of physical activity necessary for relief of menopausal symptoms. METHODS: 401 women (58.2y) who were not taking hormone replacement therapy completed two questionnaires based on a 7-day recall of an average week for leisure time physical activity and menopausal symptoms. Women were divided into quintiles according to their physical activity scores and compared for menopausal symptoms using a MANCOVA with years since menopause and presence of a hysterectomy as co-factors. RESULTS: There was a significant group main effect of physical activity on menopausal symptoms (p < 0.05). Univariate results indicated significantly lower physical symptoms (i.e. weight gain, breast tenderness, aches and pains; by 22% p=0.01) and headache (by 44%; p=0.043) for women who were more physically active compared to inactive women. There were no statistically significant group differences for other menopausal symptoms. CONCLUSIONS: Based on the physical activity levels of our quintiles, a minimum of 5 bouts of 15 minutes of moderate intensity exercise in a week can reduce physical menopausal symptoms. To reduce the incidence of headache, between 2 to 4 bouts of 15 minutes of moderate intensity exercise in a week are recommended. There is no significant effect of physical activity level on hot flashes/night sweats, insomnia, limb numbness, fatigue, psychological symptoms or urogenital symptoms. Supported by the Canadian Institutes of Health Research
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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 | 0.002 |
| 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) | 0.003 | 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".