Association of cardiometabolic index and traditional body fat evaluation indicators with metabolic syndrome in urban population over 40 years old in Guiyang city: A cross-sectional study / 中华内分泌代谢杂志

ABSTRACT

Objective:To explore the association of cardiometabolic index(CMI) and other body fat evaluation indicators [body mass index(BMI), waist circumference(WC), waist to height ratio(WHtR), lipid accumulation index(LAP)] with the prevalence of metabolic syndrome(MS) as well as the predictive value of the above indicators for MS.Methods:A total of 10 140 residents over 40 years old in Guiyang city who participated in the " Epidemiological study on tumor risk of type 2 diabetes patients in China" in 2011 were recruited. The 2005 International Diabetes Federation diagnostic criteria were used to identify MS. Logistic regression was used to analyze the association of CMI and other body fat evaluation indicators with MS. Receiver operating characteristic(ROC) curve was used to evaluate the predictive value and the optimal cut-off point of different indicators. Taking the best cut-off point value of each index as the boundary, the prevalence of MS was evaluated again by Chi square test.Results:The prevalence of MS in the study population was 39.81%(27.23% for men and 44.39% for women). Logistic regression analysis showed that the risk of MS increased with increasing CMI and quartile level of other body fat evaluation indicators in both men and women( P<0.05). The risks of MS in CMI Q4 group were 17.15(95% CI 11.64-25.27) for male and 45.14(95% CI 37.07-54.96) for female compared with Q1 group. In male, the area under curve(AUC) of MS by predicted CMI was 0.761(sensitivity 79.8%, specificity 63.2%, optimal cut-off point 0.71). WC displayed the highest value of AUC among the body fat evaluation indicators. In women, the AUC value of MS predicted by CMI was 0.831(sensitivity 76.8%, specificity 75.7%, optimal cut-off point 0.65), higher than those of BMI and WHtR while lower than those of WC and LAP. Further calculating the prevalence of MS with the best cut-off point value of each index as the boundary, WC was still the best predictor for male, while CMI was only secondary to LAP for women. Conclusion:CMI and other body fat evaluation indicators are significantly associated with MS. CMI could be used to predict MS.