Studying the mechanisms of formation and development of overweight and obesity for diagnostic information system of obesity

Authors

  • Olena Vуsotska Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0003-3723-9771
  • Hanna Dobrorodnia Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0002-3651-1000
  • Nina Gordiyenko Kharkiv National Medical University Nauky ave., 4, Kharkiv, Ukraine, 61022, Ukraine
  • Viktoriia Klymenko Kharkiv National Medical University Nauky ave., 4, Kharkiv, Ukraine, 61022, Ukraine https://orcid.org/0000-0002-6762-9650
  • Ganna Chovpan Kharkiv National Medical University Nauky ave., 4, Kharkiv, Ukraine, 61022, Ukraine
  • Marine Georgiyants Kharkiv Medical academy of Postgraduate Education Amosova str., 58, Kharkiv, Ukraine, 61176, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2016.85390

Keywords:

semantic space, biological age, lipid metabolism, estimation criteria, obesity

Abstract

The structure of the semantic attribute spaces is developed. The resulting space reflects an ordered presentation of variability for obesity process considering somatotype of person. This allows to consistently deepen body shaping process in detail and obtain a continuous transition from one type of metabolic disorders to another. This contributes to more accurate preclinical diagnosis and its taxonomy.

It was determined in operation that a measure of deviation from the normal structure of the somatotype of biological development is measured in fractions sigma deviation. It is a characteristic of formation in obesity and helps to explain the mechanisms of its development. The range of one sigma deviation corresponds to the functional optimum of somatic type variation.

The research results can be used to trace individual dynamics development of body changes regarding statistical norm.

The obtained results contribute to opportunities for modeling the running of this pathology. The results need to be applied in the creation of information system obesity diagnosis for further automation of this process. Automation of the obtained results using the diagnostic information system of obesity improves the quality of diagnosis of this disease. In the future, it is necessary to analyze in detail the representatives of different age and sex, the territorial and constitutional groups for proper evaluation of the process of formation for the various samples. 

Author Biographies

Olena Vуsotska, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Professor

Department of biomedical engineering

Hanna Dobrorodnia, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Postgraduate student

Department of biomedical engineering

Nina Gordiyenko, Kharkiv National Medical University Nauky ave., 4, Kharkiv, Ukraine, 61022

PhD, Associate Professor

Department of Medical and Biological Physics and Medical Informatics

Viktoriia Klymenko, Kharkiv National Medical University Nauky ave., 4, Kharkiv, Ukraine, 61022

Doctor of Medical Sciences, Associate Professor

Department of Fundamentals of Pediatrics № 2

Ganna Chovpan, Kharkiv National Medical University Nauky ave., 4, Kharkiv, Ukraine, 61022

PhD, Associate Professor

Department of Medical and Biological Physics and Medical Informatics

Marine Georgiyants, Kharkiv Medical academy of Postgraduate Education Amosova str., 58, Kharkiv, Ukraine, 61176

Doctor of Medical Sciences, Professor, Head of Department

Department of Anesthesiology and Intensive Care

References

  1. Nikitin, Yu. P., Kazeka, G. R., Simonova, G. I. (2001). Rasprostranenie komponentov metabolicheskogo sindroma Х v neorganizovannoy gorodskoy populyatsii (epidemiologicheskoe issledovanie). Kardiologiya, 9, 37–40.
  2. Vyisotskaya, E. V., Porvan, A. P., Ambrosov, D. A., Dobrorodnyaya, A. S., Dobrorodnyaya, I. S. (2012). Mathematical model’s synthesis for information system of adiposity diagnosis obesity in. Eastern-European Journal of Enterprise Technologies, 4/2 (58), 8–12. Available at: http://journals.uran.ua/eejet/article/view/4208/3971
  3. Kalkulyatoryi. Available at: http://beregifiguru.ru/Главная/Калькуляторы
  4. Universalnyiy Meditsinskiy Kalkulyator (ver. 4.1). Available at: http://cardioplaneta.ru/program/68-universalnyy-medicinskiy-kalkulyator-versiya-30.html
  5. Diet Assistant – Weight Loss. Available at: http://www.facebook.com/DietAssistant
  6. Diagnos.ru. Available at: http://www.diagnos.ru/ddss/
  7. Online-diagnos. Available at: http://online-diagnos.ru/diagnostics
  8. EMCIMED. Available at: http://www.mcmed.ua/ru
  9. Zagrevskiy, V. I., Zagrevskiy, O. I. (2014). Kompyuternaya tehnologiya otsenki pogreshnosti v opredelenii mass-inertsionnyih harakteristik segmentov tela cheloveka. Visnyk Chernigivs'kogo nacional'nogo pedagogichnogo universytetu, 118 (2), 39–44.
  10. Uvarova, Yu. A., Uvarov, P. E. (2012) Programmnyiy kompleks matematicheskogo modelirovaniya sistemyi fizicheskoy nagruzki. Vestnik SGUTiKD, 2 (20), 166–169.
  11. Antomonov, M. Yu., Voloschuk, E. V. (2012). Konstruirovanie integralnyih pokazateley kolichestvennyih priznakov s pomoschyu odnomernyih i mnogomernyih metodov statistiki. Kibernetika i vyichislitelnaya tehnika, 167, 61–68.
  12. Filatova, O. V. (2014). Raspredelenie somatotipov i tempov polovogo razvitiya u yunoshey v usloviyah gorodskoy i selskoy mestnosti altayskogo kraya. Ekologiya cheloveka, 2, 12–19.
  13. Baskevich, O. V. (2015). Interconnection of students’ somatic type with somatic health. Physical Education of Students, 19 (6), 4–9. doi: 10.15561/20755279.2015.0601
  14. Martirosov, E. G., Nikolaev, D. V., Rudnev, S. G. (2006). Tehnologii i metodyi opredeleniya sostava tela cheloveka. Moscow: Nauka, 248.
  15. Buren, N. V., Goncharuk, N. V., Zadorozhnaya, E. A., Tamozhanskaya, A. V. (2013). Klinicheskaya antropometriya kak metod donozologicheskoy diagnostiki konstitutsionnyih zabolevaniy. Slobozhanskiy naukovo-sportivniy visnik, 3, 75–81.
  16. Breytman, M. Ya. (1946). Differentsiatsiya diagnostika endokrinnyih system. Мoscow: Medgiz, 564.
  17. Sak, N. N., Artemeva, G. P. (2005). K morfologicheskim vozmozhnostyam prognosticheskoy otsenki perspektivnosti sportsmena. Slobozhans'kyj naukovo-sportyvnyj visnyk, 8, 243–247. Available at: http://www.nbuv.gov.ua/old_jrn/soc_gum/Snsv/2005-08/05snnops.pdf
  18. Rusakova, D. S., Scherbakova, M. Yu., Gapparova, K. M., Zaynudinov, Z. M., Tkachev, S. I., Saharovskaya, V. G. (2012). Sovremennyie metodyi otsenki sostava tela. Eksperimentalnaya i klinicheskaya gastroenterologiya, 8, 71–81.
  19. Sangwan, D. (2016). A study of body mass index between private and government school children. International Journal of Physical Education, Sports and Health, 3 (1), 63–65.
  20. Anischenko, A. P., Arhangelskaya, A. N., Rogoznaya, E. V., Ignatov, N. G., Gurevich, K. G. (2016). Sopostavimost anropometricheskih izmereniy i rezultatov bioimpedansnogo analiza. Vesnik novyih meditsinskih tehnologiy, 23 (1), 138–141.
  21. Madden, D. (2006). Body Mass Index and the Measurement of Obesity. Health econometric and data group, 2–16.
  22. Chaplyigina, E. V., Sikorenko, T. M., Aksenova, O. A., Vartanova, O. T., Nor-Arevyan, K. A. (2013). Vozrastnyie osobennosti stepeni vyirazhennosti anatomicheskih komponentov somatotipa v norme i pri skolioze. Fundamentalnyie issledovaniya, 7, 663–665.
  23. Dorohov, R. N., Chernova, V. N., Bubnenkova, O. M. (2015). Harakter raspredeleniya zhirovoy massyi tela lits razlichnogo vozrasta muzhskogo i zhenskogo pola. Uchenyie zapiski universiteta imeni P. F. Lesgafta, 9 (127), 91–96.
  24. Azhippo, A. Yu., Pugach, Ya. I., Zhernovnikova, Ya. V. (2015). Problema opredeleniya biologicheskogo vozrasta v sisteme otsenki fizicheskogo razvitiya v donozologicheskoy diagnostiki konstitutsionalnyih zabolevaniy. Slobozhanskiy naukovo-sportivniy visnik, 3, 7–12.
  25. Pugach, Ya. I. (2013). Osnovnyie polozheniya postroeniya semanticheskih prostranstv dlya uporyadochennogo predstavleniya rezultatov issledovaniy. Materialyi za IX Mezhdunarodnuyu nauchno-prakticheskuyu konferentsiyu «B'descheto vprosyi ot sveta ta naukata – 2013». Sofiya: Bjal Grad – BG, 5–14.
  26. Balsevich, V. K. (2009). Ocherki po vozrastnoy kineziologii cheloveka. Мoscow: Sovetskij sport, 220.
  27. Volkenshteyn, M. V. (1978). Obschaya biofizika. Мoscow: Nauka, 408–418.
  28. Samsonkin, V. N., Druz, V. A., Fedorovich, E. S. (2010). Modelirovanie v samoorganizuyuschihsya sistemah. Donetsk: Izd. Zaslavskij A. Ju., 104.

Downloads

Published

2016-12-14

How to Cite

Vуsotska O., Dobrorodnia, H., Gordiyenko, N., Klymenko, V., Chovpan, G., & Georgiyants, M. (2016). Studying the mechanisms of formation and development of overweight and obesity for diagnostic information system of obesity. Eastern-European Journal of Enterprise Technologies, 6(2 (84), 15–23. https://doi.org/10.15587/1729-4061.2016.85390

Issue

Vol. 6 No. 2 (84) (2016): Information technology. Industry control systems

Section

Information technology

License

Copyright (c) 2016 Olena Vуsotska, Hanna Dobrorodnia, Nina Gordiyenko, Viktoriia Klymenko, Ganna Chovpan, Marine Georgiyants

Creative Commons License

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

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.