ESPE Abstracts (2016) 86 P-P2-495

The Cutoff Values of Indirect Indices for Measuring Insulin Resistance in Korean Children and Adolescents

Jun Woo Kim & Heon-Seok Han


Chungbuk National University College of Medicine, Cheongju, Chunguk, Republic of Korea


Background: With the use of insulin resistance (IR) as a cause of metabolic syndrome (MetS), it is possible to screen the risk group of childhood MetS. Indirect index of IR can be estimated thru homeostasis model assessment (HOMA) of IR. Another index of triglyceride and glucose (TyG) were evaluated and equally effective in some adult studies. However, we do not have consistent prevalence rate and percentile distribution of MOMA-IR and TyG index in children and adolescent population.

Objective and hypotheses: To investigate the prevalence rate of MetS, the distribution of HOMA-IR and TyG index, and cutoff values of these indices to screen high risk group of MetS in Korean children and adolescents.

Method: Data from 3313 Korean subjects (1756 male, 1556 female) were included from Korean National Health and Nutrition Examination Survey conducted during 2007–2010. With three different criteria of MetS, we calculated the prevalence rate of MetS. The cutoff values of indirect index of IR were obtained from the receiver-operation characteristic (ROC) curves.

Results: The prevalence rate of MetS in male and female by three different criteria were 13.9% and 3.6%, 4.6% and 3.6%, and 1.4% and 1.6%, respectively. The cutoff values of HOMA-IR and TyG index were 2.94 and 8.41, 3.29 and 8.48, and 3.54 and 8.66, respectively. The cutoff values by three different criteria were equivalent to 50th–75th percentile, 75th percentile, and 75th–90th percentile of the distribution of HOMA-IR and TyG index in Korean children and adolescents, respectively.

Conclusion: The prevalence rate of MetS and cutoff values of indirect indices of IR by three different criteria were ranged widely. Further studies need to be performed to validate these cutoff values of indirect indices of IR to screen high-risk group of MetS.

Article tools

My recent searches

No recent searches.