The Cut-off Values of Triglycerides and Glucose Index for Metabolic Syndrome in American and Korean Adolescents

• Published in: Journal of Korean medical science Vol. 32; no. 3; pp. 427 - 433
• Main Authors: Moon, Shinje, Park, Joon Sung, Ahn, Youhern
• Format: Journal Article
• Language: English
• Published: Korea (South) The Korean Academy of Medical Sciences 01-03-2017; 대한의학회
• Subjects: Adolescent; African Americans; Area Under Curve; Asian Continental Ancestry Group; Blood Glucose - analysis; Cholesterol, HDL - blood; European Continental Ancestry Group; Female; Humans; Insulin Resistance; Male; Metabolic Syndrome - diagnosis; Mexican Americans; Nutrition Surveys; Original; Reference Values; Republic of Korea; ROC Curve; Triglycerides - blood; Triglycerides - standards; United States; 의학일반; Cardiovascular Disease; Obesity; Nutrition Surveys; Metabolic Syndrome; Adolescent; Insulin Resistance; Triglycerides; Glucose; Child; Insulin
• ISSN: 1011-8934; 1598-6357
• DOI: 10.3346/jkms.2017.32.3.427

The aim of this study was to establish ethnic- and gender-specific cut-off values of triglycerides and glucose index (TyG index) for clinical usefulness in a representative sample of Mexican American, Non-Hispanic White, Non-Hispanic Black, and Korean adolescents. The data were collected from datasets of the National Health and Nutrition Examination Survey between 1999 and 2012, and the Korean National Health and Nutrition Examination Survey between 2005 and 2013. Receiver operating characteristic curve analysis was used to find valid cut-off values of the TyG index for metabolic syndrome. The total number of eligible participants was 3,164 in the US and 4,873 in Korea. The optimal cut-off value with the Cook et al. definition revealed 8.55 in Mexican American, 8.55 in Non-Hispanic White, 8.35 in Non-Hispanic Black, and 8.45 in Korean, respectively. The cut-off value with the de Ferranti et al. definition was 8.45, 8.45, 8.15, and 8.35, and the cut-off value with the International Diabetes Federation definition was 8.65, 8.65, 8.15, and 8.55, respectively. These findings may be clinically useful for evaluating insulin resistance for determining metabolic abnormalities in adolescents.