Age at natural menopause and physical functioning in postmenopausal women: the Canadian Longitudinal Study on Aging
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to evaluate the association between categories of age at natural menopause (ANM) and gait speed (slowness) and grip strength (weakness), common measures of physical functioning in older women. METHODS: We analyzed data from the Canadian Longitudinal Study on Aging, which included participants from seven cities across Canada collected in 2012. The sample was restricted to women who reported to have entered menopause (N = 9,920). Women who had a hysterectomy before menopause were excluded since the age at which this surgical procedure was performed was not available. ANM was categorized into five groups: less than 40 (premature), 40 to 44 (early), 45 to 49, 50 to 54, and more than 54. We conducted linear regressions to assess the association between ANM and gait speed (m/s) and grip strength (kg) adjusting for participant age, education, body mass index, smoking, use of hormone therapy, height, and province of residence. RESULTS: Mean ANM was 49.8 (95% confidence interval [CI]: 49.7-50.0), with 3.8% of women having a premature menopause; the average gait speed was 0.98 m/s (standard deviation: 0.22), the average grip strength was 26.6 kg (standard deviation: 6.39). Compared to women with ANM of 50 to 54, women with premature menopause had 0.054 m/s (95% CI -0.083, -0.026) lower gait speed when adjusting for age and study site. In the fully adjusted model, the association was attenuated, 0.032 m/s (95% CI -0.060, -0.004). ANM was not associated with grip strength. CONCLUSION: Our study suggests that premature menopause (<40 years) may be associated with lower gait speed (slowness) among Canadian women. No association was observed between ANM and grip strength. Future studies should include a life course approach to evaluate whether social and biological pathways modify the association between age at menopause and physical function in populations from different contexts.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".