Dual Bioelectrical Impedance Analysis Correlates Well with Computed Tomography to Estimate Visceral Fat in Grade I-II Obese Mexican Patients

Authors

  • Ernesto G. Cardona Muñoz University of Guadalajara
  • Fernando Grover Páez University of Guadalajara
  • Carlos Gerardo Ramos Becerra University of Guadalajara
  • Sylvia E. Totsuka Sutto University of Guadalajara
  • Guillermo Adrián Alanis Sánchez University of Guadalajara
  • Jesús Ricardo García Corral University of Guadalajara
  • Catherine A. García Aguilar University of Guadalajara
  • Assen Ognianov Iantchoulev University of Guadalajara
  • José Rafael Villafán Bernal Secretaría de Salud
  • Ana Leticia Milanés Barajas Secretaría de Salud

DOI:

https://doi.org/10.18034/abcjar.v3i2.34

Keywords:

obesity, intra-abdominal fat area, visceral fat, dual bioelectrical impedance analysis

Abstract

Objective: To correlate visceral fat using bioelectrical impedance analysis (Dual BIA) with computed tomography (CT) in Grade I-II Obese Mexican Patients.

Research Design and Methods: We recruited 30 Mexican patients from the western part of the country (15 men and 15 women, aged 50-65 years) with class I-II obesity (body mass index [BMI] 30-39.9 Kg/m2).

To evaluate the IAFA by Dual BIA comparing with CT.The dual BIA instrument consists of a bioelectric impedance component that measures the physical size of the abdomen. The truncal impedance is measured by applying electrical currents between the upper and lower limb leads and reading the voltage from the electrodes around the abdominal circumference. The surface impedance is measured by applying and measuring the voltage from the abdominal circumference electrodes. We took computed tomography (CT) at the umbilical level and calculated the visceral fat area (VFA).BMI was calculated as body weight (in kilograms) divided by the squared height (in meters). Waist circumference (WC) was measured at the level of the umbilicus to the nearest 0.1 cm in the standing position at the end of expiration.

Results: We observed a strong correlation between both methods used to calculate IAFA (BIA and CT; Pearson’s r2  =0.659, p < 0.001). Though both groups had significantly correlating values, the female group had a clearly stronger correlation than the male group (Pearson’s r2 = 0.667 vs. 0.501). This method exhibited a high level of reproducibility and a strong correlation with the CT results.

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Author Biographies

  • Ernesto G. Cardona Muñoz, University of Guadalajara

    Chief of Department of Physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

     

  • Fernando Grover Páez, University of Guadalajara

    Department of physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

  • Carlos Gerardo Ramos Becerra, University of Guadalajara

    Department of physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

     
  • Sylvia E. Totsuka Sutto, University of Guadalajara

    Department of physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

     
  • Guillermo Adrián Alanis Sánchez, University of Guadalajara

    Department of physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

     
  • Jesús Ricardo García Corral, University of Guadalajara

    Department of physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

     

  • Catherine A. García Aguilar, University of Guadalajara

    Department of physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

     
  • Assen Ognianov Iantchoulev, University of Guadalajara

    Department of physiology, University Center for Health Sciences, University of Guadalajara, MEXICO

     

     
  • José Rafael Villafán Bernal, Secretaría de Salud

    Secretaría de Salud, MEXICO

     

  • Ana Leticia Milanés Barajas, Secretaría de Salud

    Secretaría de Salud, MEXICO

References

Barquera, S. Campos-Nonato, I. Hernández-Barrera, L. Pedroza-Tobías, A. Rivera-Dommarco, JA. (2013) Prevalencia de obesidad en adultosmexicanos, ENSANUT 2012.SaludPublica Mex. 55 supl 2. p. S151-S160.

Berrington de González, A. Hartge, P. Cerhan, JR. et al. (2010) Body-mass index and mortality among 1.46 million white adults. N Engl J Med. 363 (23). p. 2211–2219.

Bland JM, Altman DG.Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307–310

Carneiro, AK. Lima, A. Fontes, J. Cajuhy, F. Barreto, JM. Ramos, L. (2010) Evaluaciónporimagen del Área de Grasa Visceral y susCorrelaciones con AlteracionesMetabólicas. Arq. Bras. deCardiol. 95 (6). p. 698-704.

Cornier, MA.Després, JP. Davis, N. et al. (2011) A scientific statement from the American Heart Association. Circulation. 124. p. 1996-2019.

Eckel, RH. Alberti, KG. Grundy, SM. Zimmet, PZ. (2010) The metabolic syndrome. Lancet. 375 (9710). p. 181–183.

Fox, CS. Massaro, JM. Hoffmann, U. Pou, KM. Maurovich-Horvat, P. Liu, C. Vasan, RS. Murabito, JM. Meigs, JB. Cupples, LA. D'Agostino, RB. Sr and O'Donnell, CJ. (2007) Abdominal Visceral and Subcutaneous Adipose Tissue Compartments: Association With Metabolic Risk Factors in the Framingham Heart Study. Circulation. 116. p. 39-48.

Ida, M. Hirata, M. Odori, S. Mori, E. Kondo, E. Fujikura, J. Kusakabe, T. Ebihara, K. Hosoda, K. and Nakao, K. (2013) Early Changes of Abdominal Adiposity Detected with Weekly Dual Bioelectrical Impedance Analysis during Calorie Restriction. Obesity. 21. p. E350-E353.

Jacobs, EJ. Newton, CC. Wang, Y. et al. (2010) Waist circumference and all- cause mortality in a large US cohort. Arch Intern Med. 170 (15). p. 1293–1301.

Janssen, I. Heymsfield, SB. Allison, DB.Kotler, DP. Ross, R. (2002) Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat. Am J ClinNutr. 75 (4). p. 683–688.

Nagai, M. Komiya, H. Mori, Y. Ohta, T. Kasahara, Y. Ikeda, Y. (2010) Estimating visceral fat area by multifrequency bioelectrical impedance. Diabetes Care. 33 (5). p. 1077-9.

Oda, E. (2002) New criteria for ‘obesity disease’ in Japan.Circ J. 70. p.150.

Pischon, T. Boeing, H. Hoffmann, K. et al. (2008) General and abdominal adiposity and risk of death in Europe.N Engl J Med. 359 (20). p. 2105–2120.

Ryo, M. Kishida, K. Nakamura, T. Yoshizumi, T. Funahashi, T. Shimomura, I. (2014) Clinical significance of visceral adiposity assessed by computed tomography: A Japanese perspective. World J Radiol.6 (7). p. 409-416.

Scharfetter, H. Schlager, T. Stollberger, R. Felsberger, R. Hutten, H. Hinghofer-Szalkay, H. (2001) Assessing abdominal fatness with local bioimpedance analysis: basics and experimental findings. Int J ObesRelatMetabDisord. 25. p. 502–511.

Shiga, T. Hamaguchi, T. Oshima, Y. et al. (2009) A new simple measurement system of visceral fat accumulation by bioelectrical impedance analysis. In: IFMBE Proceedings. World Congress on Medical Physics and Biomedical Engineering, D€oossel, O. et al., eds., Springer-Verlag. 25/7. p. 338-341.

Shiga, T. Oshima, Y. Kanai, H. Hirata, M. Hosoda, K. Nakao, K. (2007) A simple measurement method of visceral fat accumulation by bioelectrical impedance analysis. In: IFMBE Proceedings. 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography.Scharfetter, H. et al., eds., Springer-Verlag. 17/14. p. 687-690. Available at: http://link.springer. com/chapter/10.1007%2F978-3-540-73841-1_177?LI1⁄4true.

Thomas, F. Pannier, B. Benetos, A. Vischer, UM. (2013) Visceral obesity is not an independent risk factor of mortality in subjects over 65 years. Vascular Health and Risk Management. 9. p. 739–745.

Whitlock, G. Lewington, S. Sherliker, P. et al. (2009) Prospective Studies Collaboration. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 373 (9669). p. 1083–1096.

Yoneda, M. Tasaki, H. Tsuchiya, N. et al. (2007) A study of bioelectrical impedance analysis methods for practical visceral fat estimation. In: IEEE International Conference on Granular Computing. Lin, TY. et al., eds., IEEE Computer Society Press. p. 622-627.
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Published

2014-12-31

How to Cite

Muñoz, E. G. C. ., Páez, F. G. ., Becerra, C. G. R. ., Sutto, S. E. T. ., Sánchez, G. A. A. ., Corral, J. R. G. ., Aguilar, C. A. G. ., Iantchoulev, A. O. ., Bernal, J. R. V. ., & Barajas, A. L. M. . (2014). Dual Bioelectrical Impedance Analysis Correlates Well with Computed Tomography to Estimate Visceral Fat in Grade I-II Obese Mexican Patients. ABC Journal of Advanced Research, 3(2), 87-92. https://doi.org/10.18034/abcjar.v3i2.34

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