Individual chronobiological regularity in track-and-field sprint

Abstract

to identify the patterns of individual dynamics of competitive performance in track and field sprint. Material: The study involved a highly qualified athlete (running for short distances, long jumps). Results: In the sinusoidal functions of the competitive performance of the athlete, the period of oscillation was 32 to 48 days. It is shown that the period of the sinusoidal function of the dynamics of competitive performance (about 30-40 days) coincides with the period of the ovarian cycle of the athlete. A reliable relationship between the 400 m run time and intuitive biorhythm values was established (the oscillation period is 38 days (r =-0.58, p <0.05)). The data obtained coincided with the period of fluctuations in the sports form. Training programs are built on the patterns of ups and downs of the functional state. Conclusions: Regularities of the individual dynamics of the sports form make it possible to provide the necessary correspondence between the state of the organism and the dynamics of the loads.

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“…To determine the psychophysiological state of athletes during the first and last week of the experiment, psychophysiological indicators were recorded using the computer program "Psychodiagnostics" (Kozina, Iermakov, Crełu, Kadutskaya, & Sobyanin, 2017;Kozina, Prusik, Görner, Sobko, Repko, Bazilyuk, et al , 2017;Kozina, Prokopenko, Cretu, Chaika, Ryepko, Osiptsov, Razumenko, Kudryavtsev, & Polianskyi, 2018;Kozina, Kalinicenko, Cretu, Osiptsov, Kudryavtsev, Polishchuk, Ilnickaya, & Minenok, 2018). The following parameters were fixed:…”

“…(2017), the development of the coordination abilities of players ZHANNETA KOZINA, YANA GOLOBORODKO, YURII BOICHUK IRINA SOBKO, OLENA REPKO, TATYANA BAZILYUK, IRINA PROKOPENKO, IVAN PROKOPENKO, ANDRII PROKOPENKO, NATALIIA TARARAK, ANDREY OSIPTSOV, VIKTOR KOSTIUKEVYCH, ANATOLII GUBA, MIKOLA TRUBCHANINOV, ANTON POLIANSKYI, VIKTORIYA ROSTOVSKA, ANDRII DRACHUK, acquires particular urgency. At present, in the context of studies of the coordination abilities of athletes in various sports, the authors touch upon the questions of the dosage of physical exertion (Kozina, Iermakov, Crełu, Kadutskaya, & Sobyanin, 2017), the psychophysiological state (Aksoy, & Agaoglu, 2017;Galli, Cimolin, Rigoldi, Moro, Loi, & Pau, 2017;Korobeynikov, Korobeynikova, Iermakov , & Nosko, 2016;Korobeynikov, Mazmanian, Korobeynikova, & Jagiełło, 2011;Korobeynikov, Myshko, Pastukhova, & Smoliar, 2017;Kozina, Iermakov, Crełu, Kadutskaya, & Sobyanin, 2017;Kozina, Prusik, Görner, Sobko, Repko, Bazilyuk, et al, 2017), the control of the training effect (Davila, Davidson, Dahl, Bazilyuk, et al, 2017;Fleddermann, Heppe, Eils, & Zentgraf, 2016;Kozina, Prokopenko, Cretu, Chaika, Ryepko, Osiptsov, Razumenko, Kudryavtsev, & Polianskyi, 2018;Davila-Romero, Hernandez-Mocholi, & Garcia-Hermoso, 2015;Gjinovci, Idrizovic, Uljevic, & Sekulic, 2017;Kozina, Kalinicenko, Cretu, Osiptsov, Kudryavtsev, Polishchuk, Ilnickaya, & Minenok, 2018;Palao, & Valades, 2016). Shalayev (2007) notes that acrobatic exercises are one of the effective means of special training of athletes in volleyball.…”

Identify patterns of individual dynamics of competitive performance of athletes as a basis for predicting results (qualified basketball players for example)

“…One of such functional patterns is oscillatory processes [13,14]. According to physical laws, oscillations are motions or processes that have one or another frequency in time.…”

“…Sinusoidal models of individual dynamics of competitive performance. As shown by our experimental studies [11,12,13,15], the most adequate model for describing the individual characteristics of the dynamics of competitive performance is the sinusoidal function, since the changes in these indicators are harmonious, i.e. are described by sinusoidal functions with a period of 25-30 days for women and 33-37 days for men and with the values of the emotional biological rhythm for women and intellectual biorhythm in men [eleven].…”

“…In our previous works [11,12,13], we performed identification of sinusoidal regression coefficients using the MathCAD program, however, for practical work of a trainer, work in the MathCAD program is not always available, therefore we applied the sinusoidal regression building algorithm in the ECXEL program ", Which is described in detail in [12,13,15].…”