Topical Area: Obesity
Objectives : We aimed to evaluate the association between Chinese visceral adiposity index (CVAI), a body shape index (ABSI) and diabetes in Chinese adults; we further assessed the predictive capacity of CVAI/ABSI for diabetes by comparing with various anthropometric adiposity indices.
Methods : We used the data of 5,838 Chinese men and women aged ≥18 years from the China Health and Nutrition Survey 2009. Subjects were divided into subgroups according to CVAI and ABSI quartiles. Multivariate logistic regression analysis was performed to examine the independent associations between CVAI/ABSI and diabetes; we assessed the predictive power of the two indexes using the receiver-operating characteristic (ROC) curve analysis.
Results : Both CAVI and ABSI were positively associated with diabetes. In multivariable model, the odds ratios (ORs) (95% confidence intervals) for diabetes across quartiles of CAVI were, 1.00, 1.9 (1.1-3.3), 2.3 (1.4-3.9), and 4.9 (2.9-8.1) in men and 1.00, 3.0 (1.1-8.2), 7.7 (2.9-21.0) and 14.2 (5.3-38.2) in women, respectively. The corresponding figures across quartiles of ABSI were 1.00, 1.2 (0.8-1.9), 1.6 (1.1-2.4) and 1.8 (1.2-2.8) in men, and 1.00, 1.2 (0.7-1.9), 1.7 (1.1-2.7) and 2.0 (1.3-3.1) in women, respectively. The area under ROC (AUC) for CVAI was the highest among all examined indices including ABSI, BMI and WC, with AUCs of 0.729 (0.696-0.762) and 0.794 (0.767-0.818) for identifying diabetes risk in men and women, respectively. ABSI had a similar AUC as BMI.
Conclusions : Higher CVAI and ABSI scores are independently associated with diabetes risk; The CVAI is a better indicator of diabetes than BMI, waist circumference and ABSI in Chinese adults.
Funding Sources : NA