Browse > Article
http://dx.doi.org/10.9718/JBER.2010.31.5.375

The Novel Method of Segmental Bio-Impedance Measurement Based on Multi-Frequency for a Prediction of risk Factors Life-Style Disease of Obesity  

Kim, Eung-Seok (Dept. of Biomedical Engineering, Yonsei University)
Noh, Yeon-Sik (Dept. of Biomedical Engineering, Yonsei University)
Seo, Kwang-Seok (Dept. of Biomedical Engineering, Yonsei University)
Park, Sung-Bin (Wonju Medical Industry TechnoVally)
Yoon, Hyung-Ro (Dept. of Biomedical Engineering, Yonsei University)
Publication Information
Journal of Biomedical Engineering Research / v.31, no.5, 2010 , pp. 375-384 More about this Journal
Abstract
The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.
Keywords
Multi-Frequency; Segmental Bio-impedance; Obesity; Life-style Disease;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 D.B. Carr, K.M. Utzschneider, R.L. Hull, K. Kodama, B.M. Retzlaff, J.D. Brunzell, "Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III criteria for the metabolic syndrome," Diabetes., vol.53, pp.2087-2094, 2004.   DOI   ScienceOn
2 P. Bjorntorp, "Abdominal obesity and metabolic syndrome," Ann Med., vol.24, pp.465-468, 1992.   DOI   ScienceOn
3 E.D. Jung, H.S. Sohn, and J.H. Lee, "Original Articles : The Correlation between Central Obesity and Glucose, Lipid Metabolism and Macrovascular Complication in Elderly Type 2 Diabetes," Korea Diabetes Association., vol.31(4), pp.343-50, 2007.   DOI   ScienceOn
4 N.M. Kaplan, "The Deadly Quartet," Arch Intern Med., vol.149, pp.1514-1520, 1989.   DOI   ScienceOn
5 A. Pietrobelli, P. Morini, N. Battistini, G. Chiumello, C. Nunez, and S.B. Heymsfield, "Appendicular skeletal muscle mass: prediction from muliple frequency segmental bioimpedance analysis," Eur. J . Clin. Nutr., vol.52(7), pp.507-511, 1998   DOI   ScienceOn
6 B.H. Cornish, A. Jacobs, B.J. Thomas, and L.C. Ward, "Optimizing electrode sites for segmental bioimpedance measurements," Physiol. Meas., vol.20, pp.241-250, 1999.   DOI   ScienceOn
7 N.J. Fuller, and M. Elia, "Potential use of bioelectrical impedance of the 'whole body' and of body segments for the assessment of body composition: comparison with densitometry and anthropometry," Eur. J Clin. Nutr., vol.43, pp.779-791, 1991.
8 R.J. Prineas, A.R. Folsom, S.A. Kaye, "Central adiposity and increased risk of coronary artery disease mortality in older women," Ann Epidemiol., vol.3, pp.35-41, 1993.   DOI   ScienceOn
9 A.R. Folsom, L.H. Kushi, K.E. Anderson, P.J. Mink, J.E. Olson, C.P. Hong, T.A. Sellers, D. Lazovich, and R. Prineas, "Associations of general and abdominal obesity with multiple health outcomes in older women: the Iowa Women's Health Study," Arch Intern Med., vol.160, pp.2117-2128, 2000.   DOI   ScienceOn
10 C. Bouchard, G.A. Bray, and V.S. Hubbard, "Basic and clinical aspects of regional fat distribution," Am J Clin Nutr., vol.52 pp.946-950, 1990.
11 P. Angulo, "Nonalcoholic fatty liver disease," N Engl J Med., vol.346, pp.1221-1231, 2002.   DOI   ScienceOn
12 A. Schaffler, J. Schölmerich, and C. Büchler, "Mechanisms of disease: adipocytokines and visceral adipose tissue--emerging role in nonalcoholic fatty liver disease," Nat Clin Pract Gastroenterol Hepatol., vol.2, pp.273-280, 2005.   DOI   ScienceOn
13 J. Steinberger, and S.R. Daniels, "Obesity, Insulin resistance, Diabetes and Cardiovascular risk in children," Circulation., vol.107, pp.1448-1453, 2003.   DOI   ScienceOn
14 J.P. Despres, "Health consequences of visceral obesity," Ann Med., vol.33, pp.534-541, 2001.   DOI   ScienceOn
15 J.F. Ascaso, P. Romero, J.T. Real, R.I. Lorente, J. Martinez-Valls, and R. Carmena, "Abdominal obesity, insulin resistance, and metabolicsyndrome in a southern European population," Eur J Intern Med., vol.14, pp.101-106, 2003.   DOI   ScienceOn
16 E.H. Kong, "Obesity and dyslipidemia," Journal of the Korean Academy of Family Medicine., Training course for a opening hospital, pp.55-59, 2005.
17 Y. Matsuzawa, "White adipose tissue and cardiovascular disease," Best Prac Res Clin Endocrinol., vol.19, pp.637-647, 2005.   DOI   ScienceOn
18 J.P. Despres, "Is visceral obesity the cause of the metabolic syndrome?," Ann Med., vol.38, pp.52-63, 2006.   DOI   ScienceOn
19 M.J. Williams, G.R. Hunter, T. Kekes-Sazabo, S. Snyder, and M.S. Treuth "Regional fat distribution in women and risk of cardiovascular disease," American Journal of Clinical Nutrition., vol.65, pp.613-617, 1997.
20 Korea Center for Disease Control and Prevention "National health and nutrition survey 3rd(2005) Health Examination Survey," 2006
21 A.L. Rosenbloom, J.R. Joe, R.S. Young, and N.E. Winter, "Emerging epidemic of type2 diabetes in youth," Diabetes Care., vol.22, pp.345-354, 1999.   DOI   ScienceOn
22 K.M. Flegal, M.D. Carroll, R.J. Kuczmarski, and C.L. Johnson, "Overweight and obesity in the United States: Prevalence and trends, 1960-1994," Int J Obes Relat Metab Disord., vol.22, pp.39-47, 1998.   DOI   ScienceOn
23 A.R. Sinaiko, D.R. Jr Jacobs, J. Steinberger, A. Moran, R. Luepker, and A. Rocchini, "Insulin resistance syndrome in childhood: associations of the euglycemic insulin clamp and fasting insulin with fatness and other risk factors," J Pediatr., vol.139, pp.700-707, 2001.   DOI   ScienceOn
24 C.G. Solomon, and J.E. Manson, "Obesity and mortality: a review of the epidemiologic data," American Journal of Clinical Nutrition., vol.66, pp.1044S-1050S, 1997.   DOI