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Korean J Obes 2011; 20(2): 75-83

Published online June 1, 2011

Copyright © Korean Society for the Study of Obesity.

Visceral Fat Measured by the Electrical Impedance Analysis Method is a Reliable Predictor of Insulin Resistance

Min Kyeong Kim, In Suk Lee(1)†, Hye Won Jang, Kyong Hye Joung, Koon Soon Kim, Hyun Jin Kim, Tae Young Lee(2), Young Kun Kim, Bon Jeong Ku*

Department of Internal Medicine, Chungnam National University School of Medicine; Department of Internal Medicine, The Catholic University College of Medicine(1),Department of Preventive Medicine, Chungnam National University School of Medicine(2)

Background: The aim of this study was to investigate whether visceral fat measured by the electrical impedance analysis (EIA) method could serve as predictor of insulin resistance (IR).
Methods: We evaluated a total of 1993 subjects from the Korean Rural Genomic Cohort Study in a population-based cross-sectional study. Insulin sensitivity was measured by fasting insulin, Homeostasis model for insulin resistance (HOMA-IR), and the quantitative insulin sensitivity check index (QUICKI). Body composition was measured by EIA to determine total body fat and lean body mass.
Results: Visceral fat was most significantly related to IR among various clinical parameters. The cutoff values for fasting insulin, HOMA-IR, and QUICKI to define IR were 7.25 μU/mL (sensitivity 69.3%, specificity 63.2%), 1.70 (sensitivity 68.5%, specificity 66.4%), and 0.352 (sensitivity 66.5%, specificity 68.6%) (P < 0.001), respectively. The area under the receiver operating characteristic (ROC) curve (95% CI) of visceral fat to predict IR was 0.730 (0.706~0.753).
Conclusion: This study suggests that visceral fat measured by EIA method was most significantly related to and sufficient to predict IR.

Keywords: Intra-abdominal fat, Insulin resistance, Electrical impedance analysis

Fig. 1. ROC curves for fasting serum insulin, HOMA-IR, and QUICKI for increased metabolic syndrome. The cutoff values for fasting serum insulin, HOMA-IR, and QUICKI are 7.25 ?U/mL (sensitivity 69.3%, specificity 63.2%), 1.70 (sensitivity 68.5%, specificity 66.4%), and 0.352 (sensitivity 66.5%, specificity 68.6%) (P < 0.001, respectively). The areas under the ROC curves (95% CI) for the parameters are 0.712 (0.687-0.737), 0.727 (0.702-0.752), and 0.727 (0.702-0.752), respectively.
Fig. 2. ROC curves for visceral fat for predicting insulin resistance. The cutoff value for visceral fat is 2.35 kg (sensitivity 56.0%, specificity 78.1%) (P < 0.001). The area under the ROC curve (95% CI) for the parameter is 0.730 (0.706-0.753).

The baseline characteristics of the subjects



Correlation between surrogate markers of insulin resistance and metabolic risk factors



Prevalence and odds ratios (OR) for metabolic syndrome according to the quartiles of fasting insulin, HOMA-IR, and QUICKI


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