KMID : 0191120180330290197
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Journal of Korean Medical Science 2018 Volume.33 No. 29 p.197 ~ p.197
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The Cut-off Values of Surrogate Measures for Insulin Sensitivity in a Healthy Population in Korea according to the Korean National Health and Nutrition Examination Survey (KNHANES) 2007?2010
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Moon Shin-Je
Park Jung-Hwan Jang Eun-Jung Park Yoo-Kyung Yu Jae-Myung Park Joon-Sung Ahn You-Hern Choi Sung-Hee Yoo Hyung-Joon
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Abstract
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Background: This study aimed to identify the gender-specific characteristics of the surrogate measures of insulin resistance and to establish valid cut-off values for metabolic abnormalities in a representative sample in Korea.
Methods: Data were collected from the datasets of the Korean National Health and Nutrition Examination Survey between 2007 and 2010. The total number of eligible participants was 10,997. We used three measures of insulin resistance: the homeostasis model assessment-insulin resistance (HOMA-IR), McAuley index, and triglyceride and glucose (TyG) index. The estimated cut-off values were determined using the highest score of the Youden index.
Results: The area under the curve (AUC) of the HOMA-IR, McAuley index, and TyG index were 0.737 (95% confidence interval [CI], 0.725?0.750), 0.861 (95% CI, 0.853?0.870), and 0.877 (95% CI, 0.868?0.885), respectively. The cut-off values of the HOMA-IR were 2.20 in men, 2.55 in premenopausal women, and 2.03 in postmenopausal women, and those of the McAuley index were 6.4 in men and 6.6 in premenopausal and postmenopausal women. For the TyG index, the cut-off values were 4.76 in men and 4.71 in premenopausal and postmenopausal women.
Conclusion: In conclusion, the present study provides the valid cut-off values of the indirect surrogate measures of insulin sensitivity. These values may be used as reference for insulin sensitivity in a clinical setting and may provide a simple and supplementary method for identifying populations at risk of insulin resistance.
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KEYWORD
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Homeostasis Model Assessment, McAuley Index, Triglyceride and Glucose Index, Insulin Resistance, Metabolic Syndrome
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