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Hidden metabolic disorders in high-class athletes
Author(s) -
Ж. В. Гришина,
Г. А. Макарова,
С. А. Базанович,
С. М. Чернуха,
М. Я. Ядгаров,
В. С. Фещенко,
А. А. Павлова,
Е. А. Анисимов,
Т. А. Яшин,
А. В. Жолинский
Publication year - 2021
Publication title -
sportivnaâ medicina: nauka i praktika
Language(s) - English
Resource type - Journals
eISSN - 2587-9014
pISSN - 2223-2524
DOI - 10.47529/2223-2524.2020.4.3
Subject(s) - athletes , medicine , gradation , physical therapy , computer science , artificial intelligence
Objective : to reveal the frequency of deviations occurrence in individual biochemical indicators, which can be markers of hidden metabolicconditioned deviations in the health of athletes. Materials and methods . Members of sports teams of Russia at the age of 16 to 38 years were examined. The total number of examined athletes was 5245: 3167 were male athletes and 2078 were female athletes. We studied 25 indicators of the biochemical composition of blood, showing latent metabolic disorders and the activity of its regulators, negative shifts in the functional state of individual physiological systems of the body and possible damage to tissues of individual organs. Results . Reference ranges and their centile gradations were calculated on the basis of a large array of data for 25 biochemical parameters. The use of centile gradations in assessing the values of blood biochemical parameters, recorded during the current monitoring in athletes, makes it possible to establish the vector of their changes and timely make changes in the volume and orientation of training loads, as well as to reasonably develop individualized programs for the athlete’s metabolic support. The use of the centile approach and the formation on its basis of gradation scales for each of the studied blood biochemical parameters also made it possible to establish the percentage of persons with significant deviations in certain biochemical parameters among the studied sample of athletes, admitted to the training process within the framework of in-depth medical examinations (DMO). Conclusion : such deviations from the norm may indicate hidden metabolic disorders that occur against the background of professional sports loads, and in the absence of timely compensation, they can lead to a breakdown in adaptation and the development of various metabolic-related pathologies

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