Technology of Two-dimensional Bioimpedance Analysis of the Human Body Composition.
Technology of Two-dimensional Bioimpedance Analysis of the Human Body Composition.
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DOI：
10.2478/joeb-2021-0004
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发表时间：
2021-01
影响因子：
--
通讯作者：
Starunova OA
中科院分区：
文献类型：
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作者：
Shchelykalina SP;Nikolaev DV;Kolesnikov VA;Korostylev KA;Starunova OA
BIA主要结果表通常包含一维图形标度和选定的正常值区域。1994年，Piccoli等人提出了BIVA，这是BIA数据表示的一种替代形式，其中两个生物阻抗参数同时被视为公差椭圆：电阻和电抗归一化为高度。本研究的目的是发展一种方法，以数据分析的身体成分生物阻抗研究在二维表示。使用了2009年至2015年在俄罗斯卫生中心接受生物阻抗研究的1，124，668例5至85岁患者的数据。在R Studio环境中进行统计编程，以估计每个生命年的身体组成参数对的二维分布密度。在大多数年龄段的身体组成的生物阻抗分析的大多数参数中发现非高斯分布（Lilliefors检验，p值<< 0.0001）。体成分参数的实际二维分布对的切片形状不规则。本文作者建议使用实际观察到的分布人群，其中已经进行了大量的生物阻抗研究。这种技术可以被称为人体成分的二维生物阻抗分析（2DBIA）。由于除了电阻抗参数之外还使用了身体成分参数，因此2DBIA方法对于从业者及其患者来说更加清晰。
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.