Abstract

Objective: To compare the screening ability of various anthropometric and atherogenic indices for Metabolic syndrome (MetS) using three common criteria and to evaluate the validity of suitable parameters in combination for the screening of MetS among a Kazakh population in Xinjiang. Methods: A total of 3752 individuals were selected using the stratified cluster random sampling method from nomadic Kazakhs (≥18 years old) in Xinyuan county, Xinjiang, China, which is approximately 4407 km away from the capital Beijing. MetS was defined by the International Diabetes Federation (IDF), National Cholesterol Education Program Adult Treatment Panel III (ATP III) and Joint Interim Statement (JIS) criteria. The receiver operating characteristic curve (ROC) was used to compare the area under the ROC curve (AUC) of each index. The sensitivity, specificity, Youden’s index and cut-offs of each index for the screening of MetS were calculated. Results: According to the IDF, ATP III and JIS criteria, 18.61%, 10.51%, and 24.83% of males and 23.25%, 14.88%, and 25.33% of females had MetS. According to the IDF criteria, the waist-to-height ratio (WHtR) was the index that most accurately identified individuals with and without MetS both in males (AUC = 0.872) and females (AUC = 0.804), with the optimal cut-offs of 0.53 and 0.52, respectively. According to both the ATP III and JIS criteria, the lipid accumulation product (LAP) was the best index to discriminate between individuals with and without MetS in males (AUC = 0.856 and 0.816, respectively) and females (AUC = 0.832 and 0.788, respectively), with optimal cut-offs of 41.21 and 34.76 in males and 28.16 and 26.49 in females, respectively. On the basis of the IDF standard, Youden’s indices of WHtR and LAP serial tests for the screening of MetS were 0.590 and 0.455 in males and females, respectively, and those of WHtR and LAP parallel tests were 0.608 and 0.479, accordingly. Conclusion: According to the IDF, ATP III and JIS criteria, both the WHtR and LAP were better indices for the screening of MetS. The WHtR and LAP parallel test was the most accurate.

Highlights

  • Metabolic syndrome (MetS) is a cluster of metabolic abnormalities, characterized as central obesity, dysglycemia, raised blood pressure, elevated triglyceride (TG) levels, and low high-density lipoprotein cholesterol (HDL-C) levels [1]

  • The participants with MetS (IDF criteria) tended to have significantly higher values for age, height, weight, WC, hip circumference, systolic BP, diastolic BP, TG, FPG, Body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), Body Adiposity Index (BAI), lipid accumulation product (LAP) and TG/HDL-C and lower HDL-C level compared to subjects without MetS both in males and females (p < 0.01 for all)

  • A large cross-sectional study was performed during 2000–2001 by the InterASIA Study group. They reported that the prevalence of MetS in Chinese adults was 16.5% according to the International Diabetes Federation (IDF) criteria and 13.7% according to the Adult Treatment Panel III (ATP III) criteria, and the prevalence of MetS in females was significantly higher compared to males in nearly every age range [5]

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Summary

Introduction

Metabolic syndrome (MetS) is a cluster of metabolic abnormalities, characterized as central obesity, dysglycemia, raised blood pressure, elevated triglyceride (TG) levels, and low high-density lipoprotein cholesterol (HDL-C) levels [1]. MetS is associated with cardiovascular disease, type 2 diabetes morbidity and mortality, and all-cause mortality [2]. MetS is high and increasing in both developing and developed nations [3,4,5,6]. Early identification and treatment of individuals with MetS is essential to prevent the adverse consequences related to its development. The diagnostic criteria of MetS are complex to conduct, which makes early identification of individuals with MetS challenging. Many studies have focused on anthropometric and atherogenic indices for the screening of MetS. Controversy still remains as to which index conveys the highest risk in different countries, ethnicities, and genders [7,8,9,10], and combined screening evaluation is limited

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