Cluster analysis of adaptation reserves of the body in the post-load period

Bocharin I. Romanova E. Kolokoltsev M. Vorozheikin A. Kispayev T. Prikhodov D. Konovalov A. Aganov S. Petrova-Gotova T.
January 2023 Editura Universitatii din Pitesti

Journal of Physical Education and Sport
2023 #23 Issue 1 122 - 127 pp.

Improving the methods of medical and pedagogical control over persons engaged in physical culture and sports is an urgent problem. Purpose: using cluster analysis to carry out the distribution of students into groups of the body adaptive reserves levels in the post-loading period. Materials and methods. 75 students studying at universities in Nizhny Novgorod (Russia) took part in the research. Generally accepted motor tests were used as physical activity. The adaptive reserves level was studied in the post-loading period for 10 minutes after the load, according to heart rate variability (HRV). Statistical and spectral indicators of HRV, stress index level, heart rate, as well as systolic and diastolic blood pressure were analyzed. To determine the number of clusters, the method of hierarchical clustering was used with a Dendrogram construction. Cluster analysis was performed using the K-means method using Euclidean distances between cluster centroids. Results. There have been cases of cardiac rhythm adjustment inability to the effect of physical activity, a tendency to arrhythmogenic events, which indicates the lack of satisfactory adaptation of the heart rhythm in some group of young men. Cases of body overstrain with the presence of heart rhythm centralization in the post-loading period were revealed. During the hierarchical clustering, the presence of three separate clusters was revealed. At the same time, one cluster stands out significantly relative to the other groups of subjects. Conclusions. The obtained reliable differences of cluster groups indicate the different status of groups of young men. This fact provides the basis for a possible correction of physical activity in a separate category of persons and a personalized approach to students physical training.

adaptive reserves , cluster analysis , heart rate variability (HRV) , physical activity , students

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Privolzhsky Research Medical University, Nizhny Novgorod, Russian Federation
Nizhny Novgorod State Agricultural Academy, Nizhny Novgorod, Russian Federation
Altai State University, Barnaul, Russian Federation
Irkutsk National Research Technical University, Irkutsk, Russian Federation
Kaliningrad Institute of Management, Kaliningrad, Russian Federation
Karaganda Buketov University, Karaganda, Kazakhstan
Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
GPS Emercom of Russia St. Petersburg University, Russian Federation
Department of Health Economics, Medical University – Sofia, Bulgaria

Privolzhsky Research Medical University
Nizhny Novgorod State Agricultural Academy
Altai State University
Irkutsk National Research Technical University
Kaliningrad Institute of Management
Karaganda Buketov University
Reshetnev Siberian State University of Science and Technology
Siberian Federal University
GPS Emercom of Russia St. Petersburg University
Department of Health Economics

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