KMID : 0388120050140020069
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Journal of Korean Society for the Study of Obesity 2005 Volume.14 No. 2 p.69 ~ p.75
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Cutoff Values of Surrogate Measures of Insulin Resistance for Metabolic Syndrome in Korean Non-diabetic Adults
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Kwon Hyeok-Choon
Ahn Sang-Mi Kim Yeon-Kyeong Kim Dae-Jung Chung Yoon-Sok Lee Kwan-Woo Jung Sun-Hye Huh Kap-Bum Song Kyoung-Eun Woo Seong-Ill
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Abstract
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Objective: We investigated the cutoff values of surrogate measures of insulin resistance for diagnosing metabolic syndrome in Korean adults.
Research Design and Methods: This study was conducted as part of the Korean Metabolic Syndrome (KMS)
Study. The data from 976 non-diabetic individuals (484 men and 492 women) aged 30~79 years were analyzed. We determined the odds ratios for the prevalence of metabolic syndrome according to the quartiles of fasting insulin, homeostasis model assessment for insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index (QUICKI) as independent variables, while adjusting for age, sex, and body mass index. The areas under the receiver-operating characteristic (ROC) curves for fasting insulin, HOMA-IR, and QUICKI for increased metabolic
syndrome were compared, and the cutoff values of fasting insulin, HOMA-IR, and QUICKI were estimated.
Results: The cutoff points for defining insulin resistance are a fasting insulin level of 12.94 U/mL, HOMA-IR ¥ì =
3.04 as the 75th percentile value, and QUICKI = 0.32 as the 25th percentile value. Compared with the lowest quartile,
the adjusted odds ratios for the prevalence of metabolic syndrome in the highest quartiles of fasting insulin,
HOMA-IR, and QUICKI were 1.95 (1.26~3.01), 2.27 (1.45~3.56), and 2.27 (1.45~3.56), respectively. The respective
cutoff values for fasting serum insulin, HOMA-IR, and QUICKI by ROC analysis were 10.57 U/mL ¥ì (sensitivity 58.5%, specificity 66.8%), 2.34 (sensitivity 62.8%, specificity 65.7%), and 0.33 (sensitivity 61.2%, specificity 66.8%).
Conclusions: Fasting insulin, HOMA-IR, and QUICKI are good surrogate measures of insulin resistance in
Korean non-diabetic adults. We suggest that the cutoff values using these simple methods could be applied to evaluate insulin resistance and predict metabolic syndrome in Korean non-diabetic adults.
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KEYWORD
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Insulin resistance, Metabolic syndrome, Insulin, HOMA, QUICKI
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