EFFECT OF LOW TEMPERATURE ON CARDIOINTERVALS DURING PHYSICAL TRAINING IN MEN

Surgut, Russia Introduction: Effects of low temperature and excessive physical load on the are the issues human physiology that require better understanding for successful exploration of the Aim: To study rhythm and after winter marathon (50 km) in men. Methods: Altogether, 15 healthy men took part in this study. Cardiorhytm parameters were measured using "Elox-01S" device before and after a 50 km marathon in winter at -12 0C. Matrices of paired observations before and after the exposure were constructed. The number of k-pares belonging to the to the same population were identified. Wilcoxon test for paired samples was applied for before-after comparisons. Results: Significant differences were revealed in six main parameters of the heart rate at p<0.05 before and after the marathon. Pairwise comparisons matrices of samples showed an increase in the proportion of chaos, since decreased the number of cardiointervals samples pairwise comparisons for which P  0.05 (k1 = 15 before and k2 = 11 after the marathon), which seems to be typical for the winter period. Other studies have reported that in women the differences were significant for three parameters only, while in men, all 6 parameters are changed after the winter marathon. The role of chaos increases for the studied parameters after long physical exercise. Conclusion: Our results suggest that heavy physical load in winter may result in increasing of the role of sympathetic neuro-vegetative system and decreasing of the role of

[1]  V. Eskov,et al.  Examination of Statistical Instability of Electroencephalograms , 2019, Bulletin of Experimental Biology and Medicine.

[2]  L. Ilyashenko,et al.  New Effect in Physiology of Human Nervous Muscle System , 2019, Bulletin of Experimental Biology and Medicine.

[3]  V. V. Eskov,et al.  The Evolution of the idea of homeostasis: Determinism, stochastics, and chaos–self-organization , 2017 .

[4]  V. Eskov,et al.  Experimental Study of Statistical Stability of Cardiointerval Samples , 2017, Bulletin of experimental biology and medicine.

[5]  F. Shaffer,et al.  An Overview of Heart Rate Variability Metrics and Norms , 2017, Front. Public Health.

[6]  V. V. Eskov,et al.  Shannon entropy in the research on stationary regimes and the evolution of complexity , 2017 .

[7]  V. Eskov,et al.  Formalization of the effect of “repetition without repetition” discovered by N.A. Bernshtein , 2017 .

[8]  Ngai-Yin Chan,et al.  Screening for atrial fibrillation in 13 122 Hong Kong citizens with smartphone electrocardiogram , 2016, Heart.

[9]  R. Dampney.  Central neural control of the cardiovascular system: current perspectives. , 2016, Advances in physiology education.

[10]  J. Williamson.  Autonomic responses to exercise: Where is central command? , 2015, Autonomic Neuroscience.

[11]  V. Eskov,et al.  Measurement of Chaotic Dynamics for Two Types of Tapping as Voluntary Movements , 2014 .

[12]  Antonio Crisafulli,et al.  Neural Regulation of Cardiovascular Response to Exercise: Role of Central Command and Peripheral Afferents , 2014, BioMed research international.

[13]  Vaughan G. Macefield,et al.  Skin sympathetic nerve activity in humans during exposure to emotionally-charged images: sex differences , 2014, Front. Physiol..

[14]  D. Eckberg,et al.  Human sympathetic outflows to skin and muscle target organs fluctuate concordantly over a wide range of time‐varying frequencies , 2012, The Journal of physiology.

[15]  Richard Gevirtz,et al.  Heart Rate Variability as a Marker of Self-Regulation , 2011, Applied psychophysiology and biofeedback.

[16]  Jill O Jin,et al.  Screening for Atrial Fibrillation. , 2022, JAMA.

[17]  B. Hatfield,et al.  Vagal and cardiac reactivity to psychological stressors in trained and untrained men. , 2000, Medicine and science in sports and exercise.

[18]  Valery M. Eskov,et al.  Models of hierarchical respiratory neuron networks , 1996, Neurocomputing.