TCBI and Cardiovascular Disease Risk in Aging Cohorts from CHARLS and ELSA

Harmonized data from the China Health and Retirement Longitudinal Study (2011–2018) and the English Longitudinal Study of Aging (2002–2018). This dataset, authored by Peijian Wang, includes 6,013 community-dwelling adults aged 45+ and free of CVD at baseline, analyzing the association between the triglyceride–cholesterol–body weight index and incident cardiovascular disease.

Use Cases

• Assessing the association between the triglyceride–cholesterol–body weight index and incident cardiovascular disease based on the composite metabolic indicator.
• Conducting survival analysis using Cox proportional hazards models based on the longitudinal cohort data.
• Evaluating the incremental predictive value of a novel metabolic indicator beyond conventional risk factors based on the described discrimination and reclassification analyses.

Strengths

• Data from two large, harmonized aging cohorts totaling 6,013 participants (3,741 from CHARLS, 2,272 from ELSA).
• Longitudinal design with follow-up periods spanning up to 17 years (2002–2018).
• Analysis includes multiple modeling strategies: continuous variable, quartile-based, and restricted cubic spline analyses.

Limitations

• The dataset is very small (20.8 KB), suggesting it may contain summary results rather than raw participant-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS) and English Longitudinal Study of Aging (ELSA).

Collection Method

Harmonized data from two longitudinal cohort studies, analyzed using Cox proportional hazards models.

Time Range

CHARLS: 2011–2018; ELSA: 2002–2018.

Freshness

Last updated 2026-04-21 04:20:16; freshness should be verified.

Geography

China and England.