Data Sheet 1_Depressive symptoms and risk of incident activities of daily living disabilit

Longitudinal data from the US Health and Retirement Study and English Longitudinal Study of Ageing examines the link between depressive symptoms and incident disability. The analysis includes 484 incident ADL disability cases in ELSA and 1,525 in HRS, using multivariable Cox models and mediation analysis. Jingxuan Cui published the research findings on figshare in June 2026.

Use Cases

• Analyze dose-response relationships between depression scores and disability risk based on CES-D scores mentioned in the description
• Investigate the mediating role of physical activity in the depression-disability pathway as described in the mediation analysis
• Compare longitudinal health outcomes across two nationally representative cohorts (HRS and ELSA) as referenced in the methods
• Model competing mortality risks in aging populations using the Fine-Gray regression framework described

Strengths

• Data is derived from two nationally representative longitudinal cohorts (HRS and ELSA)
• Analysis includes a substantial number of incident ADL disability cases (484 in ELSA, 1,525 in HRS)
• Multiple analytical frameworks were applied (Cox models, Fine-Gray competing risk, discrete-time logistic regression)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is a 96.0 KB DOCX file, suggesting it contains summary results rather than raw participant-level data

Provenance

Source

US Health and Retirement Study (HRS) and English Longitudinal Study of Ageing (ELSA)

Collection Method

Longitudinal cohort study analysis using multivariable Cox proportional hazards models, Fine-Gray competing risk regression, and mediation analysis.

Freshness

Last updated 2026-06-01 04:17:28; freshness should be verified

Geography

United States and United Kingdom