Issue |
E3S Web of Conf.
Volume 452, 2023
XV International Online Conference “Improving Farming Productivity and Agroecology – Ecosystem Restoration” (IPFA 2023)
|
|
---|---|---|
Article Number | 07004 | |
Number of page(s) | 9 | |
Section | Environmental Education and Ecotourism | |
DOI | https://doi.org/10.1051/e3sconf/202345207004 | |
Published online | 30 November 2023 |
Logical - mathematical models of quantitative assessment of the integral level of individual physical health based on the adaptive potential of the body
Ferghana Medical Institute of Public Health, Ferghana, Uzbekistan
* Corresponding author: asadjon_2515@mail.ru
The paper proposes a model of the integral level of individual physical health, which allows its quantitative assessment. The logical and mathematical justification of the proposed model is presented on the basis of protective-adaptive and compensatory reactions of the body as an integral indicator of health. The results of a quantitative assessment of the integral levels of physical health of 190 practically healthy, non-sports, young people of both sexes, obtained using the developed model, are presented. The possibilities of the proposed model for ranking the subjects on 6 levels, including prenosological functional states instead of 2, are shown according to generally accepted practice, which allows a personalized, reasoned and differentiated approach to preventive measures to preserve the health of healthy people.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.