Journal of Stress Physiology & Biochemistry, Vol. 22 No. 1 2026, pp. 48-54 ISSN 1997-0838
Original Text Copyright (cc) 2026 by  Bocharin, Guryanov, Balina, Zarembovsky and Fedorova



ORIGINAL ARTICLE
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Differentiation of Adaptive Phenotypes of Students According to the Data of Heart Rate Variability in the Post-Exercise Period

Ivan V. Bocharin1, Dmitry V. Krokhin1, Maria V. Balina1, Mikhail A. Zarembovsky2 and Marina V. Fedorova3

1 Department of physical culture and sport, Privolzhsky Research Medical University, 603155, Russia, Nizhny Novgorod, Minin and Pozharsky sq., 10/1
2 Educational and methodical department of Physical culture and Sports, Linguistics University of Nizhny Novgorod, 603155, Russia, Nizhny Novgorod, Minina St., 31a
3 Higher School of Social Sciences, Linguistics University of Nizhny Novgorod, 603155, Russia, Nizhny Novgorod, Minina St., 31a

*E-Mail: bocharin.ivan@mail.ru

Received November 5, 2025

The aim of the study is to differentiate students by the level of adaptive reserves of the body in the post-loading period using cluster analysis.

Results: It was found that HRV parameters in the post-loading period reflect the heterogeneity of adaptive reactions. Cluster analysis allowed us to identify three groups of students: those with optimal, borderline, and stressed regulation. The first group is characterized by a balanced interaction of sympathetic and parasympathetic links, the second by a compensatory tension of regulatory mechanisms, and the third by a pronounced centralization of the heart rate and signs of functional maladaptation.

Conclusion: Heart rate variability indicators are a highly informative marker of the body's adaptive reserves. The cluster analysis method provides a personalized assessment of students' condition and can be recommended for optimizing physical fitness and preventing maladaptation conditions.

Key words:    adaptive reserves, heart rate variability, physical activity, stress tests, students

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