scholarly journals Bioimpedance Analysis of Human Body Composition: Medical Applications, Terminology.

2021 ◽  
Author(s):  
Svetlana P. Shchelykalina ◽  
Dmitry V. Nikolaev
Keyword(s):  
Body Composition ◽  
Human Body ◽  
English Language ◽  
Physical Development ◽  
The Body ◽  
Bioimpedance Analysis ◽  
Muscular System ◽  
Body Composition Assessment ◽  
Medical Environment ◽  
Human Body Composition

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.

From chemical analysis of the body...to metabolic insights provided by the new methodology

1997 ◽  
Vol 78 (s2) ◽  
pp. S101-S112 ◽  
Author(s):  
Susan A. Jebb
Keyword(s):  
Body Composition ◽  
Chemical Analysis ◽  
Human Body ◽  
The Body ◽  
Human Studies ◽  
Adult Human ◽  
Human Cadavers ◽  
Direct Data ◽  
Human Body Composition

It is by no means an exaggeration to say that Dr Widdowson is one of the pioneers of body composition research and her studies in the 1940s and 1950s have laid the foundations of body composition science today. These have included both animal and human studies, although this paper will focus only on the latter. Together with Professor McCance and Christine Spray she was responsible for the analysis of three entire adult human cadavers and that of a 4-year-old child (Widdowson et al. 1951). Further work with Dr Dickerson explored the composition of specific tissues and organs of the body (Widdowson & Dickerson, 1964). These studies provide some of the best direct data on human body composition. Moreover the findings from this work form the basis of the indirect techniques which are used so widely today.

scholarly journals Bioimpedance analysis of body composition in the diagnosis of physical development disorders in children and adolescents

2021 ◽  
Author(s):  
MYu Gavryushin ◽  
OV Sazonova ◽  
DO Gorbachev ◽  
LM Borodina ◽  
OV Frolova ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Physical Development ◽  
The Body ◽  
Excess Body Weight ◽  
Body Fat Percentage ◽  
Bioimpedance Analysis ◽  
Fat Percentage ◽  
Regional Regression

Traditionally, anthropometric method is used in clinical practice for the diagnosis of excess body weight. Obesity is the excess development of primarily visceral and subcutaneous adipose tissue, which can be diagnosed by bioimpedance analysis (BIA). The study was aimed to assess the role of BIA of body composition in the diagnosis of the physical development disorders in children and adolescents. Anthropometric assessment and BIA were performed in 431 Samara school students aged 12–16 of the health status groups I and II (230 boys and 201 girls). The results were analyzed with the use of the regional regression scores, BAZ indices, and the body fat percentage values. The results of estimation using the regression scores showed that 22.61% of boys and 23.43% of girls were overweight, while more than 2/3 of the sample had a normal pattern of physical development. The BAZ indices revealed a significantly higher proportion of overweight children among boys (25.7%), than among girls (11.5%, p < 0.01). The body fat percentage fluctuations based on the BIA data were found not only in children with disharmonious physical development, but also in 60% of children with normal body weight. Moreover, the data of BIA confirmed the body weight fluctuations, revealed with the use of the regression scores, in the significantly larger number of cases compared to the low body weight and excess body weight, diagnosed based on the BAZ indices. Accordingly, anthropometric analysis with the use of the regional regression scores may be used at the baseline for the early diagnosis of the nutritional status disorders in children. To confirm overweight and obesity in children, as well as to provide further treatment, the reliable method for estimation of the body fat content is required, which may be the method of BIA.

scholarly journals Technology of two-dimensional bioimpedance analysis of the human body composition

2021 ◽  
Vol 12 (1) ◽  
pp. 17-25
Author(s):  
S. P. Shchelykalina ◽  
D. V. Nikolaev ◽  
V. A. Kolesnikov ◽  
K. A. Korostylev ◽  
O. A. Starunova
Keyword(s):  
Body Composition ◽  
Human Body ◽  
Alternative Form ◽  
P Value ◽  
Bioimpedance Analysis ◽  
Two Dimensional ◽  
Dimensional Distribution ◽  
Impedance Parameters ◽  
Non Gaussian ◽  
Human Body Composition

Abstract The BIA primary result sheets as a rule contain one-dimensional graphical scales with a selected area of normal values. In 1994, Piccoli et al. proposed BIVA, an alternative form of BIA data presentation, where two bioimpedance parameters are considered simultaneously as tolerance ellipses: resistance and reactance normalized to height. The purpose of this study is to develop an approach to data analysis in body composition bioimpedance research in two-dimensional representations. The data of 1.124.668 patients aged 5 to 85 years who underwent a bioimpedance study in Russian Health Centers from 2009 to 2015 were used. Statistical programming in the R Studio environment was carried out to estimate two-dimensional distribution densities of pairs of body composition parameters for each year of life. The non-Gaussian distribution is found in most parameters of bioimpedance analysis of body composition for most ages (Lilliefors test, p-value << 0.0001). The slices of the actual two-dimensional distribution pairs of body composition parameters had an irregular shape. The authors of the article propose using the actually observed distribution for populations where numerous bioimpedance studies have already been carried out. Such technology can be called two-dimensional bioimpedance analysis of human body composition (2DBIA). The 2DBIA approach is clearer for practitioners and their patients due to the use of body composition parameters in addition to electrical impedance parameters.

Sensitivity of bioelectrical impedance to detect changes in human body composition

1989 ◽  
Vol 67 (4) ◽  
pp. 1643-1648 ◽  
Author(s):  
R. Ross ◽  
L. Leger ◽  
P. Martin ◽  
R. Roy
Keyword(s):  
Body Composition ◽  
Human Body ◽  
Correlation Coefficients ◽  
Bioelectrical Impedance ◽  
Mean Values ◽  
Significance Level ◽  
Exercise Regimen ◽  
Before And After ◽  
Hydrostatic Weighing ◽  
Human Body Composition

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.

Multifrequency bioelectrical impedance analysis to assess human body composition

1999 ◽  
Vol 19 (8) ◽  
pp. 1179-1188 ◽  
Author(s):  
Sufia Islam ◽  
Iqbal Kabir ◽  
Mohammad A. Wahed ◽  
Michael I. Goran ◽  
Dilip Mahalanabis ◽  
...  
Keyword(s):  
Body Composition ◽  
Human Body ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Human Body Composition

Development of a MATLAB-based Predictive System for Human Body Composition using Wenner Method

2020 ◽  
Author(s):  
Analyn N. Yumang ◽  
Ericson D. Dimaunahan ◽  
Jose B. Lazaro ◽  
Dean Henry S. Guerrero ◽  
Christine S. Lapada ◽  
...  
Keyword(s):  
Body Composition ◽  
Human Body ◽  
Human Body Composition
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