Insulin Resistance Distribution and Cut-Off Value in Koreans from the 2008-2010 Korean National Health and Nutrition Examination Survey.

• Main Authors: Kyung-Jin Yun, Kyungdo Han, Mee Kyoung Kim, Yong-Moon Park, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
• Format: Article
• Language: English
• Published: Public Library of Science (PLoS) 2016-01-01
• Series: PLoS ONE
• Online Access: http://europepmc.org/articles/PMC4851408?pdf=render

We sought to identify the distribution and cut-off value of the 'homeostasis model assessment of insulin resistance' (HOMA-IR) according to gender and menopausal status for metabolic syndrome in Koreans.Data were from the Korean National Health and Nutrition Examination Survey in 2008-2010. The subjects included adults aged 20 years or older. We excluded participants who had diabetes or fasting serum glucose ≥ 7 mmol/L. Finally, 11,121 subjects (4,911 men, 3,597 premenopausal women, 2,613 postmenopausal women) were enrolled. The modified Adult Treatment Panel III criteria were used to define metabolic syndrome.The mean HOMA-IR was 2.11 (2.07-2.15) for men, 2.0 (1.97-2.04) for premenopausal women, and 2.14 (2.2-2.19) for postmenopausal women. The first cut-off values in men, premenopausal women, and postmenopausal women were 2.23 (sensitivity 70.6%, specificity 66.9%), 2.39 (sensitivity 72.3%, specificity 76.4%), and 2.48 (sensitivity 51.9%, specificity 80.2%), respectively. Based on the first HOMA-IR cut-off value, the prevalence of metabolic syndrome was 22.9% in men, 13.7% in premenopausal women, and 51.6% in postmenopausal women. The second cut-off value was around 3.2 in all three groups. Based on the second HOMA-IR cut-off value, the prevalence of metabolic syndrome was 50.8% in men, 42.5% in premenopausal women, and 71.6% in postmenopausal women.In conclusion, the first cut-off values for HOMA-IR were 2.2-2.5 and the second cut-off value was 3.2 in Korea. The distribution of HOMA-IR showed differences according to gender and menopausal status. When we apply HOMA-IR, we should consider gender, menopausal status, and the prevalence of metabolic syndrome.