CVAI was more strongly and consistently associated with the risk of incident CVD and demonstrated promising potential in predicting CVD events, particularly among females, outperforming traditional anthropometric indices in a prospective cohort of 35,551 Chinese individuals.
Key Findings
Results
A 1-SD increment of CVAI was associated with the highest elevated risk of incident CVD among all anthropometric indices examined.
HR (95% CI) for CVD: 1.28 (1.21–1.37) per 1-SD increment of CVAI
HR (95% CI) for CHD: 1.28 (1.17–1.40) per 1-SD increment of CVAI
HR (95% CI) for stroke: 1.28 (1.17–1.40) per 1-SD increment of CVAI
All associations were adjusted for potential confounders
Indices compared included BMI, waist circumference (WC), waist-hip ratio (WHR), and waist-height ratio (WHtR)
Results
CVAI demonstrated superior predictive performance for CVD compared to BMI and WC in the general population, and additionally outperformed WHR in females.
AUC of CVAI for predicting CVD was significantly higher than BMI and WC in the general population (p < 0.001)
CVAI AUC was additionally higher than WHR specifically in females (p < 0.001)
Predictive performance was assessed using AUROC, continuous net reclassification index (NRI), and integrated discrimination improvement (IDI)
ROC analysis was used to compare discriminative ability across indices
Methods
The study enrolled 35,551 individuals without a history of CVD from the Shanghai Suburban Adult Cohort and Biobank (SSACB).
This was a prospective cohort study design
Participants had no prior history of CVD at enrollment
Cox proportional hazard models with restricted cubic splines were used to evaluate associations
Outcomes assessed included incident CVD, coronary heart disease (CHD), and stroke
Results
Subgroup analyses revealed different associations between CVAI and CVD risk across age and diabetic groups.
Subgroup analyses were performed across age, sex, hypertension, and diabetic groups
Differential associations were specifically noted across age and diabetic subgroups
CVAI showed particularly promising predictive potential among females
No specific HRs for subgroups are reported in the abstract
Background
CVAI is a Chinese-specific visceral adiposity index evaluated against traditional anthropometric indices including BMI, WC, WHR, and WHtR for CVD risk prediction in a Chinese population.
Traditional indices compared were body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and waist-height ratio (WHtR)
CVAI is described as a Chinese-specific index designed to capture visceral adiposity
The study population was drawn from a Chinese suburban cohort
The study aimed to assess whether CVAI outperforms established anthropometric measures in this population
Li X, Maimaiti A, Ling Y, Wan Y, Cui H, Tao Z, et al.. (2025). Chinese Visceral Adiposity Index Outperforms Traditional Anthropometric Indices in Predicting Cardiovascular Disease Risk: A Prospective Cohort Study.. Diabetes/metabolism research and reviews. https://doi.org/10.1002/dmrr.70109