Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Abstract

Background and objectiveMetabolic syndrome (MetS) is an important risk factor for cardiovascular complications and kidney damage. Obesity- and lipid-related indices are closely related to MetS, and different indices have different predictive abilities for MetS. This study aimed to evaluate the predictive value of eight obesity- and lipid-related indicators, namely, body mass index (BMI), lipid accumulation product (LAP), body roundness index (BRI), Chinese visceral adiposity index (CVAI), body adiposity index (BAI), abdominal volume index (AVI), triglyceride glucose index (TYG), and visceral adiposity index (VAI), for MetS.MethodsA total of 1,452 relatively healthy people in Beijing were enrolled in 2016, and the correlation between the eight indicators and MetS was analyzed by multivariate logistic regression. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to analyze the predictive ability of the eight indicators for MetS. The Delong test was used to compare the AUC values of the eight indicators. MetS was defined according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2020 edition), the revised National Cholesterol Education Program Adult Treatment Group (NCEP-ATPIII), and the International Diabetes Federation (IDF).ResultsUsing these three sets of criteria, LAP, TYG, CVAI, and VAI, which are based on blood lipids, had higher AUC values for MetS prediction than BMI, BRI, AVI, and BAI, which are based on anthropometry. LAP had the highest AUC values of 0.893 (0.874–0.912), 0.886 (0.869–0.903), and 0.882 (0.864–0.899), separately, based on the three sets of criteria.ConclusionThe eight obesity- and lipid-related indicators had screening value for MetS in relatively healthy people, and of the eight indicators, LAP performed the best.

Novel Anthropometric Indices as Screening Tools for Obesity: A Study on Healthy Iranians

“…They also proposed that AVI was the best predictor of insulin resistance impaired glucose tolerance. For predicting metabolic syndrome in a similar study by Duan et al, AVI had the AUC of 0.838 and 0.794 for men and women, respectively [ 50 ]. In a study by Hu et al, AVI, as an index for abdominal adiposity, was associated with diabetes mellitus [ 29 ].…”

Association between triglyceride-glucose related indices with the all-cause and cause-specific mortality among the population with metabolic syndrome

“…Regarding the applications of these surrogate biomarkers in screening the MetS, noteworthy progress has been made. Notably, the large-scale, population-based evidence determined that the TyG index showed higher predictive power for predicting the prevalence of MetS in the general population from different countries or races [ 14 , 16 , 18 , 39 ]. Furthermore, the latest systemic review and meta-analysis of 49,325 participants derived from thirteen observational studies supported the clinical utility of the TyG index in the screening of MetS, with optimal sensitivity and specificity [ 19 ].…”

Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS)

“…Fernández-Aparicio et al investigated the ability of atherogenic indices to predict MetS in Spanish adolescents and found that the TyG index had the greatest AUC in males and the TyG index and LDL-c/HDL-c had the greatest AUCs in females [ 9 ]. Duan et al demonstrated that the TyG index had a good predictive value (AUC between 0.841 and 0.886) in Chinese adults [ 14 ]. Another study in Thailand found that the TyG index had excellent predictive ability for MetS in law enforcement officers (AUC = 0.88) [ 16 ].…”