Menopause Age and Multimorbidity Risk in 13,717 Women from Three Aging Cohorts

A 2026 longitudinal analysis by dai taoming examines links between natural menopause age and incident multimorbidity in postmenopausal women. The study uses harmonized pooled data from three aging cohorts (HRS, ELSA, MHAS) with 13,717 participants. Results indicate early menopause, particularly at age 40 or younger, is associated with increased risk of developing multiple chronic conditions.

Use Cases

• Modeling chronic disease risk based on menopause timing mentioned in the description
• Conducting survival analysis on multimorbidity incidence using Cox regression methods described
• Studying aging trajectories in women based on harmonized data from multiple international cohorts

Strengths

• Data is harmonized from three established aging cohorts (HRS, ELSA, MHAS), suggesting methodological rigor
• Includes 13,717 participants, providing a substantial sample size for analysis
• Uses longitudinal design to examine incident multimorbidity over time

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic or cohort bias inherent to the three source studies

Provenance

Source

Harmonized pooled data from three aging cohorts: HRS, ELSA, and MHAS.

Collection Method

Longitudinal analysis using Cox regression on harmonized cohort data.

Freshness

Last updated 2026-06-03 08:02:11; freshness should be verified