ISSN 2415-3060 (print), ISSN 2522-4972 (online)
  • 25 of 56
JMBS 2018, 3(6): 147–153
Clinical Medicine

Anthropometry and Bioimpedanceometry of Body Composition in Patients with Ischemic Heart Disease and Type 2 Diabetes Mellitus

Serik S. A., Tkachenko O. V., Ovcharenko L. I.

The recent studies established a close relationship of cardiovascular events, type 2 diabetes mellitus with visceral obesity. Anthropometric indices (body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio) do not provide any opportunity to differentiate adipose tissue from muscle mass. The purpose of our study was to estimate the interrelation of obesity anthropometric markers with the accumulation of visceral fat determined by bioimpedanceometric method in patients with ischemic heart disease and type 2 diabetes mellitus. Material and methods. 99 male patients ((56.26±4.12) years old) with ischemic heart disease and type 2 diabetes mellitus were examined. The anthropometric indices (body mass index, waist and hip circumferences, waist-to-hip ratio, and waist-to-height ratio) were estimated. Total body fat, visceral fat and skeletal muscle mass were determined by the bioimpedanceometric method. Results and discussion. In the course of study we noticed that overweight patients and patients with I and II degree of obesity were characterized by the consecutive significant increase of both visceral fat and total body fat without any differences between these indices. Overweight patients had significantly elevated waist-to-height ratio. At the same time we determined the significant increase of waist circumference, hip circumference and waist-to-hip ratio only in obese patients in comparison with patients with normal body mass index. The multiple linear regression analysis revealed the visceral fat dependence only of waist-to-hip and waist-to-height ratios. Waist circumference and hip circumference depended significantly only on total body fat. The occurrence of waist-to-height ratio values exceeding the norm reached 100% in the second quartile of visceral fat values, which corresponded to the high level of visceral fat accumulation. The proportion of patients with obesity by the body mass index and waist circumference significantly increased only in the third and fourth quartiles of visceral fat values, which corresponded to a very high degree of visceral fat accumulation. The occurrence of waist-to-hip ratio values above the norm was almost the same in all 4 quartiles of visceral fat values. Conclusions. In male patients with ischemic heart disease and type 2 diabetes mellitus the increase waist-to-height ratio is interrelated mostly with the accumulation of visceral fat determined by the bioimpedanceometric method compared to the increase of body mass index, waist circumference, hip circumference and waist-to-hip ratio.

Keywords: anthropometry, bioimpedanceometry, visceral fat, ischemic heart disease, type 2 diabetes mellitus

Full text: PDF (Rus) 238K

  1. Coelho M, Oliveira T, Fernandes R. Biochemistry of adipose tissue: an endocrine organ. Arch Med Sci. 2013 Apr 20; 9(2): 191–200.
  2. Fonseca-Alaniz MH, Takada J, Cardoso Alonso-Vale MI, Lima FB. Adipose tissue as an endocrine organ: from theory to practice. J Pediatr (Rio J). 2007; 83(5); 256-78.
  3. Butrova SA. Visceralnoe ozhirenie – klyuchevoe zveno metabolicheskogo sindroma. Mezhdunarodnyj Endokrinologicheskij zhurnal. 2009; 2(20): 82-4. [Russian]
  4. Younis A, Younis A, Tzur B, Peled Y, Shlomo N, Goldenberg I, Fisman EZ, Tenenbaum A, Klempfner R. Metabolic syndrome is independently associated with increased 20-year mortality in patients with stable coronary artery disease. Card Diabetol. 2016; 15(1): 149-89.
  5. Shen W, Punyanitya M, Chen J, Gallagher D, Albu J, Pi-Sunyer X, Lewis C E, Grunfeld C, Heymsfield S B, Heshka S. Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health risk. Int J Obes (Lond). 2006; 31: 763–9.
  6. Caminha TC, Ferreira HS, Costa NS, Nakano RP, Carvalho RE, Xavier AF Jr, Assunção ML. Waist-to-height ratio is the best anthropometric predictor of hypertension: A population-based study with women from a state of northeast of Brazil. Medicine (Baltimore). 2017 Jan; 96(2); e5874.
  7. Shen S, Lu Y, Qi H, Li F, Shen Z, Wu L, Yang C, Wang L, Shui K, Yao W, Qiang D, Yun J, Zhou L. Waist-to-height ratio is an effective indicator for comprehensive cardiovascular health. Sci Rep. 2017; 7: 43046.
  8. Chobot A, Górowska-Kowolik K, Sokołowska M, Jarosz-Chobot P. Obesity and diabetes - not only a simple link between two epidemics. Diabetes Metab Res Rev. 2018 Jun; 21: e3042.
  9. Buffa R, Mereu E, Comandini O, Ibanez ME, Marini E. Bioelectrical impedance vector analysis (BIVA) for the assessment of two-compartment body composition. Eur J of Clin Nutr. 2014; 68: 1234–40.
  10. Corrêa MM, Thumé E, De Oliveira ER, Tomasi E. Performance of the waist-to-height ratio in identifying obesity and predicting non-communicable diseases in the elderly population: A systematic literature review. Arch Gerontol Geriatr. 2016 Jul-Aug; 65: 174-82.
  11. Ashwell M, Gibson S. Waist-to-height ratio as an indicator of ‘early health risk’: simpler and more predictive than using a ‘matrix’ based on BMI and waist circumference. BMJ. 2016; 6: e010159.
  12. Müller MJ, Lagerpusch M, Enderle J, Schautz B, Heller M, Bosy-Westphal A. Beyond the body mass index: tracking body composition in the pathogenesis of obesity and the metabolic syndrome. Obes Rev. 2012; 13: 6–13.
  13. Motamed N, Perumal D, Zamani F, Ashrafi H, Haghjoo M, Saeedian F, Maadi M, Akhavan-Niaki H, Rabiee B, Asouri M. Conicity Index and Waist to Hip Ratio Are Superior Obesity Indices in Predicting 10-Year Cardiovascular Risk Among Men and Women. Clinical Cardiology. 2016; 38(9): 527–34.
  14. Sottier D, Petit J-M, Guiu S, Hamza S, Benhamiche H, Hillon P, Cercueil J-P, Krausé D, Guiu B. Quantification of the visceral and subcutaneous fat by computed tomography: Interobserver correlation of a single slice technique. Imaging. 2013; 94(9): 879-84.
  15. Fan B, Shepherd JA, Levine MA, Steinberg D, Wacker W, Barden HS, et al. National Health and Nutrition Examination Survey whole-body dual-energy X-ray absorptiometry reference data for GE Lunar systems. JCD. 2014; 17(3): 344-77.
  16. Cornier MA, Després JP, Davis N, Grossniklaus DA, Klein S, Lamarche B, Lopez-Jimenez F, Rao G, St-Onge MP, Towfighi A, Poirier P. Assessing adiposity: a scientific statement from the American Heart Association. Circulation. 2011; 124: 1996-2019.
  17. Roriz AK, Passos LC, de Oliveira CC, Eickemberg M, Moreira Pde A, Sampaio LR. Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly. PLoS ONE. 2014; 9(7): e103499.
  18. Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev. 2010; 23(2): 247–69.
  19. Forde C, Murphy N, Meaney J, Kennedy P, Boyle G, et al. Comparison of Bioelectrical Impedance Analysis and Magnetic Resonance Imaging for the Quantification of Fat Mass. Int J Physiatry. 2015; 1: 1.
  20. Zhang ZQ, Deng J, He LP, Ling WH, Su YX, Chen YM. Comparison of various anthropometric and body fat indices in identifying cardiometabolic disturbances in Chinese men and women. PLoS ONE. 2013; 8(8): e70893.