CVAI and METS-VF were positively associated with CVD risk and showed slightly better discrimination than other adiposity-related indices, suggesting that visceral adiposity and dyslipidemia remain important correlates of cardiovascular and cerebrovascular risk.
Key Findings
Results
CVAI was significantly associated with CVD risk with an odds ratio of 1.16 per 1 standard deviation increase.
OR = 1.16, 95% CI 1.05–1.29, calculated per 1 standard deviation
Analysis conducted using logistic regression modeling
Data sourced from the China Health and Retirement Longitudinal Study (CHARLS) between 2011 and 2018
CVAI performed better than LAP, METS-VF, TyG, and TG/HDL-C in discrimination analyses
Results
METS-VF was significantly associated with CVD risk with an odds ratio of 1.11 per 1 standard deviation increase.
OR = 1.11, 95% CI 1.01–1.23, calculated per 1 standard deviation
Analysis used logistic regression and restricted cubic spline modeling
METS-VF showed slightly better discrimination than LAP, TyG, and TG/HDL-C but slightly lower than CVAI
Results
LAP showed a significant association with increased CVD risk at the third quartile.
Q3: OR = 1.39, 95% CI 1.11–1.73
Association was assessed using quartile-based logistic regression
The association was statistically significant at Q3 but quartile-specific results for Q1, Q2, and Q4 were not highlighted in the abstract
Results
TG/HDL-C ratio showed a significant association with increased CVD risk at the third quartile.
Q3: OR = 1.31, 95% CI 1.08–1.59
Association assessed using quartile-based logistic regression
TG/HDL-C reflects dyslipidemia as a correlate of cardiovascular and cerebrovascular risk
Results
CVAI demonstrated the highest AUC values among all tested visceral obesity surrogate markers for predicting heart disease, stroke, and overall CVD.
AUC for heart disease (HD): 0.5767 (95% CI 0.5560–0.5974)
AUC for stroke: 0.6123 (95% CI 0.5873–0.6373)
AUC for overall CVD: 0.5910 (95% CI 0.5726–0.6093)
Comparator indices included LAP, METS-VF, TyG, and TG/HDL-C
Discrimination was assessed using the area under the receiver operating characteristic curve (AUC)
Methods
The study used a retrospective longitudinal design drawing on CHARLS data spanning 2011 to 2018.
CHARLS refers to the China Health and Retirement Longitudinal Study
Analytical methods included logistic regression, restricted cubic spline modeling, and ROC curve analysis
Five visceral obesity surrogate markers were evaluated: CVAI, LAP, METS-VF, TyG, and TG/HDL-C
CVD outcomes examined included heart disease (HD) and stroke
What This Means
This research suggests that certain indirect measures of belly fat and blood fat levels — specifically the Chinese Visceral Adiposity Index (CVAI) and the Metabolic Score for Visceral Fat (METS-VF) — are linked to a higher risk of cardiovascular diseases such as heart disease and stroke. The study analyzed data from thousands of middle-aged and older Chinese adults followed over several years as part of a large national health study. Among five different fat-related measures tested, CVAI was the best at predicting who would develop cardiovascular disease, though its predictive accuracy was modest (AUC values ranging from about 0.58 to 0.61 out of a maximum of 1.0).
This research suggests that measuring visceral (internal belly) fat using simple, calculable indices — rather than expensive imaging — may help identify people at higher cardiovascular risk. The lipid accumulation product (LAP) and the triglyceride-to-HDL cholesterol ratio (TG/HDL-C) were also associated with higher CVD risk, particularly at moderate levels of these markers. This points to the role of both fat distribution and blood lipid abnormalities in driving cardiovascular risk.
Practically, these findings suggest that visceral adiposity markers like CVAI and METS-VF could be considered alongside traditional risk factors in cardiovascular disease prevention efforts, particularly in older adult populations. However, since the AUC values indicate only modest discriminatory ability, these markers are likely most useful as supplementary screening tools rather than standalone predictors.
Guo P, Liu Y, Chen G, Jiang Y. (2026). The role of visceral obesity surrogate markers in predicting cardiovascular disease: Insights from the CHARLS study.. Medicine. https://doi.org/10.1097/MD.0000000000049097