Prevalence and correlates of early-onset menopause among women living with HIV in Canada
Bibliographic record
Abstract
OBJECTIVE: Menopause is a pivotal transition for women. Previous studies have suggested increased risk of early menopause (40-45 years) and premature menopause (<40 years) for women with HIV. We aimed to determine age of menopause, prevalence of early menopause and premature menopause, and risk factors for menopause <45 years in Canadian women with HIV. METHODS: This was a cross-sectional analysis from the Canadian HIV Women's Sexual and Reproductive Health Cohort Study. Analyses were restricted to biologically female participants reporting being postmenopausal (regardless of etiology). Primary outcome was median age at menopause. Predetermined variables, and those with P < 0.10 in univariable analyses were considered for inclusion into multivariable logistic regression model, to determine independent correlates of menopause <45 years. RESULTS: 229 women were included. Median age of menopause was 48 years (interquartile range 43, 51); 29.7% of women experienced menopause <45 years: 16.6% with early menopause and 13.1% with premature menopause. In univariable analyses, menopause <45 years was more likely (P < 0.05) with birth in Canada, white ethnicity, less than high-school education, smoking, recreational drug use, and hepatitis C co-infection. In multivariable modeling, less than high-school education (adjusted odds ratio [aOR] 2.45, 95% confidence interval [CI] 1.22-4.93) and hepatitis C co-infection (aOR 1.90, 95% CI 1.04-3.50) were independently associated with menopause <45 years. CONCLUSIONS: In Canadian women with HIV, median age of menopause was 48 years; 3 years younger than the general population. Only lower education and hepatitis C co-infection were independently associated with menopause <45 years, highlighting importance of socioeconomic factors and comorbidities. These findings have implications for counseling and management of women with HIV.
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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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".