Quality of life and psychosocial health in postmenopausal women achieving public health guidelines for physical activity
Bibliographic record
Abstract
In Brief Objective: The aim of this study was to determine if there are differences in health-related quality of life (HRQoL) and psychosocial health between postmenopausal women who meet public health physical activity (PA) guidelines versus those who do not (ie, self-report) and those women who achieve at least 7,500 steps · day−1 versus those who do not (ie, via objective monitor). Methods: Postmenopausal women (n = 297) residing in Southern Alberta, Canada, completed a mailed questionnaire that assessed self-reported PA, HRQoL, and psychosocial health outcomes. Total daily steps were assessed with a pedometer via a 3-day step monitoring period. Results: Of the postmenopausal women, 43.1% were meeting public health PA guidelines. A significant multivariate model (Wilks λ = 0.968, F2,294 = 4.918, P = 0.008) indicated that women achieving public health PA guidelines reported higher HRQoL on both the physical (mean difference [Mdiff] = 2.4, P = 0.008, d [effect size] = 0.31) and mental (Mdiff = 2.3, P = 0.011, d = 0.30) component scales of the RAND-12 compared with women not achieving PA guidelines. Furthermore, women achieving at least 7,500 steps · day−1 indicated significantly higher scores on the physical component scale (Mdiff = 4.33, P < 0.001, d = 0.56) than did women achieving fewer than 7,500 pedometer steps · day−1. Conclusions: These findings lend support for the health benefits of achieving public health PA guidelines in postmenopause and further the rationale for developing, evaluating, and implementing strategically designed PA behavior change programs for postmenopausal women. The present study found that 43% of postmenopausal women were achieving public health physical activity guidelines. Postmenopausal women who were physically active reported more optimal health-related quality of life and satisfaction with life and fewer symptoms of depression and anxiety when compared with postmenopausal women who were not physically active.
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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 | 0.001 | 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) | 0.001 | 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".