Federal Research Center for Original and Prospective Biomedical and Pharmaceutical Technologies (Laboratory of Rehabilitation and Sports Psychophysiology, nauchnyy sotrudnik)
employee
Podolsk, Moscow, Russian Federation
Moscow, Moscow, Russian Federation
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CSCSTI 77.00
CSCSTI 14.00
CSCSTI 20.00
CSCSTI 83.00
Russian Classification of Professions by Education 02.00.00
Russian Classification of Professions by Education 06.00.00
Russian Classification of Professions by Education 09.00.00
Russian Classification of Professions by Education 32.00.00
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Russian Library and Bibliographic Classification 1
Russian Library and Bibliographic Classification 22
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BISAK SEL SELF-HELP
BISAK COM014000 Computer Science
BISAK COM072000 Computer Simulation
BISAK COM017000 Cybernetics
BISAK COM018000 Data Processing
BISAK COM062000 Data Modeling & Design
BISAK COM089000 Data Visualization
BISAK COM021000 Databases / General
BISAK COM021030 Databases / Data Mining
BISAK COM023000 Educational Software
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BISAK COM080000 History
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BISAK COM032000 Information Technology
BISAK COM031000 Information Theory
BISAK COM004000 Intelligence (AI) & Semantics
BISAK COM060000 Internet / General
BISAK COM039000 Management Information Systems
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Relevance. The prevention of overtraining in student sports is an important task for achieving optimal athletic results and minimizing the risks of illnesses and injuries. It requires consideration of both training loads and assessment of the functional state. The aim of the study was to identify individual dynamics and average group values of functional state indicators and physical load doses in student-athletes of team sports and martial arts. The objective of the study was to identify individual dynamics and average group values of functional state indicators and physical load doses in student-athletes of team sports and martial arts. Material and methods. The research involved 24 qualified student-athletes aged 19-20 with an average sports experience of 10.7 ± 1.7 years. Data were collected using an electronic athlete diary, which analyzed data on heart rate, recovery status, and other indicators over the course of a month. Results. According to the data obtained, the average value of the monotony index was 2.1 ± 0.8 units, the tension index was 107.4 ± 51.2 units, the ACWR index was 1.1 ± 0.2 points, and the TRIMP was 55 ± 31.5 units. The integral indicator of the functional state of the student-athletes was, on average, assessed as "good". Conclusions. The research showed that the electronic athlete diary can serve as an effective tool for monitoring functional states and adjusting training loads, which will help reduce the risk of overtraining, illness, and injuries among student-athletes.
student sports, overtraining syndrome, training load, digital athlete’s diary
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