scholarly journals Current Methods of Human Body Composition Assessment

2015 ◽  
Vol 24 (4) ◽  
pp. 184-189
Author(s):  
Jongwoo Kim ◽  
Seon Yeong Lee
Author(s):  
Svetlana P. Shchelykalina ◽  
Dmitry V. Nikolaev

This article discusses the terminology features of bioimpedance analysis of body composition and the most common mistakes in the use of terms. In the Russian-speaking medical environment, you can often find the use of a number of inaccurate terms related to bioimpedance analysis of the human body composition. At the same time, the terminology of bioimpedance analysis of human body composition in English-language publications has long been established. The article presents the Russian and English terms of bioimpedance analysis of the human body composition with corresponding abbreviations, as well as the hierarchy of the terms body composition components, body composition parameters, parameters of bioimpedance analysis of body composition and bioimpedance parameters. The most developed areas of application of bioimpedance analysis in medical practice are discussed: assessment of nutrition and dynamic observations of changes in body composition, assessment of the body mineral mass, assessment of the body hydration parameters, assessment of blood supply to tissues and organs, including in the monitoring mode, assessment of the asymmetry of paired organs and limbs, assessment of pre-start readiness, physical development and the level of fitness of the athlete's muscular system.


1989 ◽  
Vol 67 (4) ◽  
pp. 1643-1648 ◽  
Author(s):  
R. Ross ◽  
L. Leger ◽  
P. Martin ◽  
R. Roy

The purpose of this study was to compare the estimates of lean body mass (LBM) and percent body fat (%BF), as predicted by bioelectrical impedance (BIA) and sum of skinfolds (SF), with those derived by hydrostatic weighing (HW) obtained before and after a 10-wk diet and exercise regimen. The experimental (E) group consisted of 17 healthy male subjects; 20 healthy males served as the control (C) group. Post hoc Scheffe contrasts computed on E group data indicated that, for both LBM and %BF, the Lukaski and Segal BIA equations, as well as the Durnin SF equation, derived mean values that were not significantly different (0.05 significance level) from HW in both pre- and postregimen conditions. For LBM, the same equations derived the following significant (P less than 0.01) correlation coefficients for both pre- and postregimen data: Lukaski, 0.87 and 0.85; Segal, 0.89 and 0.87; and Durnin, 0.90 and 0.88. For %BF, the correlation coefficients were slightly lower but remained statistically significant (P less than 0.01). The findings of this study suggest that the BIA method, by use of either the Lukaski or Segal prediction equations, is a valid means of predicting changes in human body composition as measured by the Siri transformation of body density.


1999 ◽  
Vol 19 (8) ◽  
pp. 1179-1188 ◽  
Author(s):  
Sufia Islam ◽  
Iqbal Kabir ◽  
Mohammad A. Wahed ◽  
Michael I. Goran ◽  
Dilip Mahalanabis ◽  
...  

Author(s):  
Analyn N. Yumang ◽  
Ericson D. Dimaunahan ◽  
Jose B. Lazaro ◽  
Dean Henry S. Guerrero ◽  
Christine S. Lapada ◽  
...  

1974 ◽  
Vol 27 (12) ◽  
pp. 1380-1385 ◽  
Author(s):  
Harry J. Krzywicki ◽  
Gerald M. Ward ◽  
Donald P. Rahman ◽  
Richard A. Nelson ◽  
C. Frank Consolazio

2006 ◽  
Vol 18 (2) ◽  
pp. 228-229
Author(s):  
Lawrence W. Weiss

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