<abstract xmlns="http://www.w3.org/1999/xhtml">

The BIA primary result sheets as a rule contain one-dimensional graphical scales with a selected area of normal values. In 1994, Piccoli <italic>et al</italic>. 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 &lt;&lt; 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.
</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.

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

Pirogov Russian National Research Medical University (RNRMU)

Department of Analysis of Population Health Statistics

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution 4.0 International License.

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,...

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

Online veröffentlicht: 02. Juli 2021

Seitenbereich: 17 - 25

Eingereicht: 29. Nov. 2020

DOI: https://doi.org/10.2478/joeb-2021-0004

Schlüsselwörter
bioimpedance analysis of human body composition, bioimpedance vector analysis, centile estimates, graphical representations of data, BIVA, 2DBIA

© 2021 S. P. Shchelykalina, D. V. Nikolaev, V. A. Kolesnikov, K. A. Korostylev and O. A. Starunova, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 02. Juli 2021

Seitenbereich: 17 - 25

Eingereicht: 29. Nov. 2020

DOI: https://doi.org/10.2478/joeb-2021-0004

Schlüsselwörterbioimpedance analysis of human body composition, bioimpedance vector analysis, centile estimates, graphical representations of data, BIVA, 2DBIA

© 2021 S. P. Shchelykalina, D. V. Nikolaev, V. A. Kolesnikov, K. A. Korostylev and O. A. Starunova, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
bioimpedance analysis of human body composition, bioimpedance vector analysis, centile estimates, graphical representations of data, BIVA, 2DBIA