Association between the Chinese visceral adiposity index and the risk of cardiovascular events in middle-aged and elderly individuals with abnormal glucose metabolism— A prospective cohort study
10.3760/cma.j.cn311282-20240723-00324
- VernacularTitle:中国内脏脂肪指数与中老年糖代谢异常人群心血管事件风险的相关性
- Author:
Jing WANG
1
;
Pu WU
;
Huabin WANG
;
Pei JIN
Author Information
1. 浙江大学医学院附属金华医院中心实验室，金华 321000
- Publication Type:Journal Article
- Keywords:
Chinese visceral adiposity index;
Abnormal glucose metabolism;
Cardiovascular disease
- From:
Chinese Journal of Endocrinology and Metabolism
2025;41(5):378-386
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the longitudinal association between the Chinese Visceral Adiposity Index(CVAI) and cardiovascular disease(CVD) risk in middle-aged and elderly individuals with abnormal glucose metabolism.Methods:A total of 3 662 individuals with abnormal glucose metabolism from the China Health and Retirement Longitudinal Study(CHARLS) database were included. The cumulative incidence of CVD events was estimated using Kaplan-Meier curves. Cox proportional hazards models were used to assess the association between CVAI and CVD events, and a multivariate-adjusted restricted cubic spline(RCS) curve was fitted to test the dose-response relationship between CVAI and incident CVD events. Subgroup analyses were also conducted to explore potential effect modifiers. Results:During the follow-up, 844 participants experienced CVD events. In the fully adjusted model, every interquartile range( IQR) increment in CVAI was significantly associated with an increased risk of CVD events, with a hazard ratio( HR)[95% confidence interval( CI)] of 1.22(1.11-1.35). Compared to the first quartile( Q1) of CVAI, the HRs(95% CI) for CVD event incidence in Q2- Q4 were 1.22(0.98-1.52), 1.29(1.05-1.61), and 1.51(1.22-1.88), respectively. Subgroup analysis indicated a significant interaction effect between CVAI and age on the risk of CVD events in individuals with abnormal glucose metabolism( P for interaction <0.05). No significant interactions were found for gender, body mass index(BMI), waist circumference(WC), smoking, alcohol consumption, and hypertension(all P for interaction >0.05). Furthermore, the multivariate-adjusted RCS regression revealed a significant dose-response relationship between CVAI and CVD events( P<0.001, P for nonlinearity=0.568). Conclusions:In middle-aged and elderly individuals with abnormal glucose metabolism, CVAI is independently associated with an increased risk of incident CVD events and may serve as a reliable surrogate marker for assessing visceral adiposity in this population. Regular monitoring of CVAI should be considered for integration into routine clinical practice to improve CVD prevention in individuals with abnormal glucose metabolism.
