PHYSIOLOGICAL PREDICTORS OF ATHLETIC PERFORMANCE  IN ELITE ATHLETES

Ushakov A.; Korableva Y.; Cherepov E.; Komelkov S.; Bakushin A.

doi:10.14529/hsm240111

A. Ushakov South Ural State University, Chelyabinsk, Russia https://orcid.org/0000-0002-7591-3678 ushakovas74@mail.ru
Y. Korableva South Ural State University, Chelyabinsk, Russia https://orcid.org/0000-0003-2337-3531 julya-74@yandex.ru
E. Cherepov South Ural State University, Chelyabinsk, Russia https://orcid.org/0000-0001-8469-9741 cherepovea@susu.ru
S. Komelkov South Ural State University, Chelyabinsk, Russia https://orcid.org/0000-0002-0067-6591 komelkovsa@susu.ru
A. Bakushin South Ural State University, Chelyabinsk, Russia https://orcid.org/0009-0004-6075-5189 bakushinaa@susu.ru

DOI: https://doi.org/10.14529/hsm240111

Keywords: criteria for functional systems, assessment of body reserves, mid-mountain areas, stress reactions, cyclic sports, combat sports

Abstract

Aim. To investigate the motor components of a specialized functional system in highly skilled athletes. Materials and methods. Athletes aged 18–22 years, specializing in cyclic sports and martial arts, with sports qualifications ranging from Candidate for Master of Sport to International Master of Sport, were assessed. The sample size ranged from 10 to 25 individuals per discipline (n = 520). The examination encompassed: central and peripheral hemodynamics, recorded using the Kentavr computer system (Microlux, Russia); body composition measurements, obtained with the Tanita BC-418 (Japan); postural balance, evaluated on a force platform (MBN, Russia); spatial characteristics of the spine, recorded with
the MBN Scanner (Russia); changes in the functional state of the respiratory and circulatory systems, monitored with SCHILLER (Switzerland); assessment of blood, cardiopulmonary system, gas exchange, and metabolic state, conducted on the AMP analyzer (Ukraine). Results. The study yielded data on spine characteristics, postural system, body composition, cardiopulmonary system, and central hemodynamics. Conclusion. By modeling and identifying correlations between the integral parameter and the Dirichlet distribution, it is possible to predict successful sports performance. Each component of the specialized functional system plays a regulatory and management role in optimizing athletic performance.

Author Biographies

A. Ushakov , South Ural State University, Chelyabinsk, Russia

Assistant of the Department of Physical Education and Health, Assistant of the Department of Theory and Methods of Physical Education and Sport, South Ural State University, Chelyabinsk, Russia.

Y. Korableva , South Ural State University, Chelyabinsk, Russia

Candidate of Biological Sciences, Associate Professor of the Department of Athletic Performance Enhancement, South Ural State University, Chelyabinsk, Russia.

E. Cherepov , South Ural State University, Chelyabinsk, Russia

Doctor of Pedagogical Sciences, Associate Professor, Head of the Department of Physical Education and Health, South Ural State University, Chelyabinsk, Russia.

S. Komelkov , South Ural State University, Chelyabinsk, Russia

Senior Lecturer, Department of Theory and Methods of Physical Education and Sport, South Ural State University, Chelyabinsk, Russia.

A. Bakushin , South Ural State University, Chelyabinsk, Russia

Senior Lecturer, Department of Physical Education and Health, South Ural State University, Chelyabinsk, Russia.