STATE OF ATHLETES’ CARDIOVASCULAR SYSTEM UNDER PHYSICAL LOAD IN THE RUSSIAN NORTH

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Abstract

Athletics in the North of the Russian Federation has significant features that are to be studied within the framework of human ecology. In this case, of particular importance are studies that are associated with controlled physical activity. The aim was to study the state of the parasympathetic and sympathetic autonomic nervous system of athletes regulating heart functioning under controlled physical activity. Methods: Data collection was performed on a group of 16 athletes according to the Helsinki Declaration. In total, 14 parameters of the cardiovascular system were recorded using the "Elox-01" and the parameters of quasi-attractors were calculated for the five-dimensional phase space. Results. Before the load (1,5 hours of playing mini-football), the indicator of parasympathetic (PAR) regulation prevailed almost 9 times (PAR = 16 c.u.) over the sympathetic (SIM) regulation (SIM = 1,75 c.u.). After the load, these indices became equal, but the volumes of quasi-attractors increased by 29 times. Conclusions. Athletes in the North of the Russian Federation can't significantly invert the state of SIM and PAR even after the load. The load only levels these indicators, but at the same time the volume of the quasi-attractor in the five-dimensional phase space of the states of diagnostic signs of the cardiovascular system of athletes increases. Such dynamic differs from the dynamics of the athletes of the Central Part of the Russian Federation, where the SIM indicator initially prevails over the PAR indicator.

About the authors

Yu. V. Bashkatova

Federal Research Center for Scientific Research Institute of System Research of the Russian Academy of Sciences

Surgut, Russia

M. A. Filatov

Tyumen Industrial University in Surgut

Email: Filatovmik@yandex.ru
доктор биологических наук, профессор кафедры естественных и гуманитарных дисциплин филиала Surgut, Russia

L. S. Shakirova

Federal Research Center for Scientific Research Institute of System Research of the Russian Academy of Sciences

Surgut, Russia

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Copyright (c) 2020 Bashkatova Y.V., Filatov M.A., Shakirova L.S.

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