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Assessing age at natural menopause from self-reported data in a long-running population-based cohort study
Isabel J Pieterse1, H Susan J Picavet2,
1Center for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center (UMC) Utrecht, Utrecht University, Utrecht, the Netherlands.
Self-reported age at natural menopause is often difficult to determine and inconsistently recalled by women, especially over longer periods. Accurate documentation of menopausal status is crucial for research and clinical care.
Area of Science:
- Reproductive Health
- Epidemiology
- Gerontology
Background:
- Accurate determination of age at natural menopause is vital for epidemiological studies and clinical management of women's health.
- Self-reported data is frequently used, but its reliability requires thorough investigation.
Purpose of the Study:
- To evaluate the feasibility of determining age at natural menopause via self-report.
- To assess the consistency and reproducibility of self-reported age at natural menopause in a long-term cohort study.
Main Methods:
- Longitudinal data from 3394 women in the Doetinchem Cohort Study (1987-2017) were analyzed.
- Menstrual status and age at menopause were self-reported up to seven times over 30 years.
- Proportion of determinable ages, within-person variation, and reproducibility across recall intervals were assessed.
Main Results:
- Age at natural menopause was determinable in only 57% of women reaching menopause; hormone use and surgery were common confounders.
- Significant within-person variation in reported age at menopause was observed, with 17% reporting differences of ≥4 years.
- Reproducibility declined with increasing recall intervals, from 62% agreement within one year at 5 years to 45% at 30 years.
Conclusions:
- Self-reported age at natural menopause is often inconsistent and difficult to determine, particularly with longer recall periods.
- Accurate prospective documentation of menopausal status, hormone use, and surgical history is essential for improving data quality in research and clinical practice.
- Standardized definitions and prospective data collection can enhance comparability across studies and support evidence-based female healthcare.
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