摘要
Background There are several surrogate indicators of abdominal fat deposition,including tri-ponderal mass index(TMI),lipid accumulation product(LAP),and the Chinese visceral adiposity index(CVAI).In spite of this,it remains unclear whether these indices have a longitudinal relationship with the prevalence of cardiometabolic multimorbidity(CM),a pressing global health issue.This research investigated the association between CVAI and CM compared to other indicators of visceral obesity.Methods 6638 participants(aged>45)from the China Health and Retirement Longitudinal Study(CHARLS)were analyzed for incident CM.Cox proportional models were adopted to explore whether the level of CVAI was correlated with the risk of CM.Harrell's concordance statistic(C-statistic)was applied to compare predictive values.Sensitivity and subgroup analyses were implemented for the steadiness of the results.Results Over 4 years,266(4.01%)participants developed CM.A 1-standard deviation(SD)increase in the levels of CVAI,body mass index(BMI),LAP,and TMI was associated with greater CM risk after adjusting for confounders[hazard ratios(HRs):2.20,95%confidence interval(CI):1.88-2.57,1.92(95%CI:1.55-2.38),1.20(95%CI:1.12-1.27),and 1.50(95%CI:1.35-1.66),respectively].CVAI outperformed other indices in predictive performance.Subgroup analysis revealed younger participants or those living alone were more prone to developing CM.Results were potent after finishing all sensitivity analyses.Conclusions The study highlighted a positive correlation between the level of CVAI and CM risk.CVAI's superior predictive performance positions it as a reliable indicator for identifying individuals at heightened CM risk.
作者
卢晓琪
杨富丽
曾平
LU Xiao-qi;YANG Fu-li;ZENG Ping(Guangdong Cardiovascular Institute,Guangdong Provincial People's Hospital,Guangdong Academy of Medical Sciences;Department of Cardiology,Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences),Southern Medical University,Guangzhou 510080,Guangdong,China)
基金
supported by the National Natural Science Foundation of China(No.82074295)
the Science and Technology Program of Tibet Grant(No.XZ202201ZY0051G)。