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Comparison of Anthropometric and Atherogenic Indices as Screening Tools of Metabolic Syndrome in the Kazakh Adult Population in Xinjiang

Xiang-Hui Zhang, Mei Zhang, Jia He, Yi-Zhong Yan, Jiao-Long Ma, Kui Wang, Ru-Lin Ma, Heng Guo, La-Ti Mu, Yu-Song Ding, Jing-Yu Zhang, Jia-Ming Liu, Shu-Gang Li, Qiang Niu, Dong-Sheng Rui and Shu-Xia Guo
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Xiang-Hui Zhang: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Mei Zhang: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Jia He: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Yi-Zhong Yan: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Jiao-Long Ma: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Kui Wang: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Ru-Lin Ma: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Heng Guo: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
La-Ti Mu: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Yu-Song Ding: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Jing-Yu Zhang: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Jia-Ming Liu: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Shu-Gang Li: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Qiang Niu: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Dong-Sheng Rui: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China
Shu-Xia Guo: Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China

IJERPH, 2016, vol. 13, issue 4, 1-12

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.

Keywords: metabolic syndrome; anthropometric indices; atherogenic indices; Kazakh; screening (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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