Changes in adiposity and other factors in relation to age at natural menopause: analyses from the coronary artery risk development (CARDIA) study
Bibliographic record
Abstract
OBJECTIVE: The age at natural menopause has subsequent health implications. Earlier age at natural menopause is a risk factor for cardiovascular disease, atherosclerosis, and stroke. Despite extensive study, no clear and conclusive association between anthropometric measures and age at natural menopause has emerged. This study aims to assess whether baseline and/or longitudinal changes in adiposity are associated with age at natural menopause. METHODS: In all, 2,030 premenopausal women from the Coronary Artery Risk Development in Young Adults study-a prospective study with 25 years follow-up-were included for analysis from 1985 to 1986 until menopause was attained. Anthropometry included body mass index and waist circumference. Discrete-time survival analysis was then used to determine the association between anthropometric measures at baseline, and also their changes with age at natural menopause, while adjusting for various time-varying and invariant covariates in separate models for body mass index and waist circumference. RESULTS: Multivariate Cox regression analysis showed that baseline body mass index (hazard ratio [HR] 0.96, 95% confidence interval [CI] 0.94-0.98) and baseline waist circumference (HR 0.98, 95% CI 0.97-0.99) significantly increased the risk of later age at natural menopause. Neither time-varying body mass index nor waist circumference indicating change across time associated with age at natural menopause. Premenopausal hypertension was strongly associated with an earlier age at natural menopause. CONCLUSION: These findings show that age at natural menopause is partly determined by modifiable factors such as premenopausal hypertension and baseline adiposity. These results highlight the importance of both control and prevention of cardiovascular risk factors such as excess weight in early to mid-adulthood before menopause onset.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".