Trial Evaluation of Visceral Fat Characteristics by Abdominal Bioelectrical Impedance MethodYutaka Yamanaka*, Hiromi Shinno, Satoshi Kurose, Hiromi Tsutsumi, Yutaka Kimura
Department of Health Science, Graduate School of Medicine, Kansai Medical University, Japan
- *Corresponding Author:
- Yutaka Yamanaka
Department of Health Science
Graduate School of Medicine
Kansai Medical University, 2-5-1, Shinmachi
Hirakata, Osaka 5731010, Japan
E-mail: [email protected]
Received date: July 24, 2013; Accepted date: September 17, 2013; Published date: October 28, 2013
Citation: Yamanaka Y, Shinno H, Kurose S, Tsutsumi H, Kimura Y (2013) Trial Evaluation of Visceral Fat Characteristics by Abdominal Bioelectrical Impedance Method. J Diabetes Metab 4:292. doi: 10.4172/2155-6156.1000292
Copyright: © 2013 Yamanaka Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Aim: As the abdominal bioelectrical impedance method is changed by visceral fat area by CT (VFA) and quantity, we examined whether the abdominal bioelectrical impedance per measured area (V/A) as the visceral fat characteristics index is useful for diabetes care.
Methods: The subjects were 33 Japanese obese female outpatients. We investigated the correlations of V/A measured by the abdominal bioelectrical impedance method device and of VFA, for each measurement item. And we analyzed the related factors for HOMA-R as the insulin resistance index and for V/A as visceral fat characteristics index by stepwise multiple regression analysis.
Results: As there is no correlation between the V/A we used and VFA, we report that the visceral fat characteristics (density) from V/A is not directly associated with VFA (area). We investigated correlations of V/A and VFA for the measured items. There were significant correlations of V/A for peakVO2/W, BS, IRI, HOMA-R, lean body. There were significant correlations of VFA for peakVO2/W, IRI and HOMA-R, BMI, waist circumference, and body weight. We analyzed the related factors for HOMA-R and for V/A by stepwise multiple regression analysis. From the results of stepwise multiple regression analysis, the final independent variables V/A and VFA were chosen for HOMA-R, and peakVO2/W was chosen for V/A.
Conclusion: We report that the visceral fat characteristics (density) from V/A are not directly associated with VFA (area). Hence the evaluation of visceral fat characteristics by V/A is important for diabetes care and treatment of obesity.