CTI-Related Adiposity Indices and CVD Risk in Chinese Adults, 2011-2020

A prospective cohort study of 5,290 Chinese adults aged 45 and older from the China Health and Retirement Longitudinal Study (CHARLS) between 2011 and 2020. The data includes four composite adiposity indices (CTI-BMI, CTI-BRI, CTI-WHtR, CTI-WWI) and their association with incident cardiovascular disease, with 1,340 participants developing CVD during follow-up. The dataset was authored by Kangjie Tang and is shared under a CC-BY-4.0 license.

Use Cases

• Evaluating the predictive performance of CTI-WHtR for 4-year cardiovascular disease risk based on the reported AUC values.
• Analyzing hazard ratios for CVD risk across tertiles of composite adiposity indices.
• Assessing incremental model improvement using metrics like Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) described in the study.
• Investigating nonlinear associations between composite indices and CVD outcomes using methods like restricted cubic spline analysis.

Strengths

• Includes data from 5,290 participants in a longitudinal study design.
• Reports specific statistical results, including hazard ratios ranging from 1.37 to 1.58 and a 4-year AUC of 0.564 for CTI-WHtR.
• Employs multiple analytical methods (Cox regression, Kaplan-Meier, time-dependent ROC) as described.

Limitations

• The dataset is very small at 79.3 KB, indicating limited raw data or a summary document.
• 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)

Collection Method

Prospective cohort study

Time Range

2011-2020

Freshness

Last updated 2026-06-04 04:30:23; freshness should be verified.

Geography

China