Chinese Visceral Adiposity Index for CVD Risk Prediction in a 12-Year Cohort Study

A prospective cohort study of 5,194 individuals without prior cardiovascular disease, comparing seven insulin resistance indices for predicting CVD risk over a 12-year follow-up period. The dataset likely contains clinical and demographic measurements used to calculate indices like TyG, LAP, VAI, and CVAI. The study was authored by Weiyan Tu and published on figshare in May 2026.

Use Cases

• Comparing predictive performance of insulin resistance indices based on hazard ratios and AUC values
• Developing CVD risk stratification models incorporating the Chinese visceral adiposity index (CVAI)
• Investigating non-linear associations between CVAI and CVD risk based on the reported threshold point
• Analyzing subgroup effects on CVD risk prediction based on age, sex, and hypertension status

Strengths

• Prospective design with a 12-year follow-up period
• Includes 5,194 participants, with 373 documented CVD events
• Compares seven distinct insulin resistance indices with specific statistical results

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 bias inherent to a single community study in Hebei, China

Provenance

Source

figshare

Collection Method

Recruitment from the prospective Asymptomatic Polyvascular Abnormalities Community (APAC) Study in Hebei.

Time Range

12-year follow-up period

Freshness

Last updated 2026-05-05 04:14:57; freshness should be verified

Geography

Hebei, China