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Comparison of Predictive Value of Obesity and Lipid Related Variables for Metabolic Syndrome and Insulin Resistance in Obese Adults
Biomed Sci Letters 2019;25:256-266
Published online September 30, 2019;  https://doi.org/10.15616/BSL.2019.25.3.256
© 2019 The Korean Society For Biomedical Laboratory Sciences.

Kyung A Shin,*

Department of Clinical Laboratory Science, Shinsung University, Dangjin 31801, Korea
Correspondence to: Kyung A Shin. Department of Clinical Laboratory Science, Shinsung University, 1 Daehak-ro, Jeongmi-myeon, Dangjin 31801, Korea.
Tel: +82-41-350-1408, Fax: +82-41-350-1355, e-mail: mobitz2@hanmail.net
*Professor.
Received June 5, 2019; Revised July 16, 2019; Accepted July 24, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
 Abstract
In this study, obese adults were compared for their ability to predict obesity and lipid related variables and their optimal cutoff values to predict metabolic syndrome and insulin resistance. In this study, 9,256 adults aged 20 years or older and less than 80 years old, who were in the Gyeonggi region from January 2014 to December 2016 and who were examined at a general hospital, were enrolled. The diagnostic criteria for obesity were WHO (World Health Organization), and BMI 25 kg/m2 or more presented in the Asia-Pacific region. Metabolic syndrome was diagnosed based on the criteria of American Heart Association / National Heart, Lung, and Blood Institute (AHA / NHLBI). According to the results of receiver operating characteristic curve (ROC) analysis, Triglyceride / HDL-cholesterol (TG / HDL-C), Triglyceride and Glucose (TyG) index, lipid accumulation product (LAP) and visceral adiposity index (VAI) showed high predictive power for diagnosing metabolic syndrome. The diagnostic accuracy of LAP (AUC: 0.854) for males and VAI (0.888) for females was the highest. The optimal cutoff value of LAP was 42.71 for male and 35.44 for female, and the cutoff value of VAI was 1.92 for male and 2.15 for female. In addition, WHtR (waist to height ratio), TyG index, and LAP were used as predictors of insulin resistance in obese adults. Therefore, LAP and VAI were superior to other indicators in predicting metabolic syndrome in obese adults.
Keywords : Insulin resistance, Lipid, Metabolic syndrome, Obesity