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The Russian bioimpedance database: an update

Sergey G. Rudnev

Sergey G. Rudnev

  • Marchuk Institute of Numerical Mathematics, Russian Academy of SciencesMoscow, Russia
  • Federal Research Institute for Health Organization and Informatics, Ministry of Health of the Russian FederationMoscow, Russia
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Rudnev, Sergey G.
, 
Olga A. Starunova

Olga A. Starunova

Federal Research Institute for Health Organization and Informatics, Ministry of Health of the Russian FederationMoscow, Russia
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Starunova, Olga A.
, 
Elena Z. Godina

Elena Z. Godina

  • Anuchin Research Institute and Museum of Anthropology, Lomonosov Moscow State UniversityMoscow, Russia
  • Federal Research Institute for Health Organization and Informatics, Ministry of Health of the Russian FederationMoscow, Russia
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Godina, Elena Z.
, 
Alla E. Ivanova

Alla E. Ivanova

Federal Research Institute for Health Organization and Informatics, Ministry of Health of the Russian FederationMoscow, Russia
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Ivanova, Alla E.
, 
Alexander V. Zubko

Alexander V. Zubko

Federal Research Institute for Health Organization and Informatics, Ministry of Health of the Russian FederationMoscow, Russia
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Zubko, Alexander V.
 and 
Vladimir I. Starodubov

Vladimir I. Starodubov

Federal Research Institute for Health Organization and Informatics, Ministry of Health of the Russian FederationMoscow, Russia
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Starodubov, Vladimir I.
  
Nov 23, 2022
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Published Online: Nov 23, 2022
Page range: 66 - 72
Received: May 18, 2022
DOI: https://doi.org/10.2478/joeb-2022-0010
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© 2022 Sergey G. Rudnev, Olga A. Starunova, Elena Z. Godina, Alla E. Ivanova, Alexander V. Zubko and Vladimir I. Starodubov, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig.1

The Russian health centers – geographical distribution.
The Russian health centers – geographical distribution.

Fig.2

Frequency distribution of the BIA records (n=2,429,977) by the Federal subjects of Russia.
Frequency distribution of the BIA records (n=2,429,977) by the Federal subjects of Russia.

Fig.3

Frequency distributions of the BIA records (n=2,429,977) by the month and year of measurement (upper panel) and the time of day (lower panel).
Frequency distributions of the BIA records (n=2,429,977) by the month and year of measurement (upper panel) and the time of day (lower panel).

Fig.4

Frequency distribution of the BIA records (n=2,429,977) by the year of birth of the measured persons (upper panel) and of the total number of HCs according to the number of BIA measurements (lower panel).
Frequency distribution of the BIA records (n=2,429,977) by the year of birth of the measured persons (upper panel) and of the total number of HCs according to the number of BIA measurements (lower panel).

Fig.5

Age structure of the measured persons: left – females (n=1,607,906), right – males (n=822,071).
Age structure of the measured persons: left – females (n=1,607,906), right – males (n=822,071).

Fig.6

Histograms of the resistances R50: left – females (n=1,607,906), right – males (n=822,071).
Histograms of the resistances R50: left – females (n=1,607,906), right – males (n=822,071).

Fig.7

HCs’ reference data on the phase angle at 50 kHz according to age: the medians and interquartile range (blue lines). Upper panel – females (n=1,607,906), lower panel – males (n=822,071). The red lines show estimated mean values according to meta-analysis of pooled data from 46 studies [9].
HCs’ reference data on the phase angle at 50 kHz according to age: the medians and interquartile range (blue lines). Upper panel – females (n=1,607,906), lower panel – males (n=822,071). The red lines show estimated mean values according to meta-analysis of pooled data from 46 studies [9].
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Engineering, Bioengineering and Biomedical Engineering, Biomedical Electronics, Life Sciences, Biophysics, Medicine, Biomedical Engineering, Physics, Spectroscopy and Metrology
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