Ekologiya cheloveka (Human Ecology)Ekologiya cheloveka (Human Ecology)1728-08692949-1444Eco-Vector1663710.33396/1728-0869-2018-11-32-36Research ArticleINTEGRALLY-TEMPORAL AND SPECTRAL PARAMETERS OF CARDIOVASCULAR SYSTEM OF PRE-ADOLESCENT POPULATION OF KHANTY-MANSI AUTONOMOUS OKRUG - UGRA UNDER THE CONDITIONS OF LATITUDINAL DISPLACEMENTSShakirovaL S-FilatovaD Yu-IlyashenkoL K-BashkatovaYu Vyuliya-bashkatova@yandex.ruSurgut State University151120182511323623102019Copyright © 2018, Human Ecology2018The aim of the study is to establish statistical and chaotic regularities in the parameters behavior of the cardiovascular system in schoolchildren of the Khanty-Mansi Autonomous Okrug - Ugra at latitudinal displacements (from the North to the South of the Russian Federation and vice versa) and the effects of various climatic and geographic factors. Methods. Using pulse-intervalography method on the basis of the pulseoxymetry device "EL0KS-01" (instrumental software) information on the state of the cardiovascular system of the children and youth population was received. Results. After a two-week rest, the volume of the students' quasiatractor decreased, which indicated the activation of the regulatory mechanisms of the cardiovascular system and the healthful effect after a two-week stay in the South of Russia. Upon arrival in Surgut, the volume of the quasiatractor in girls decreased, and in boys increased sharply by 6 times. Thus, in girls, the response of the cardiovascular system was more pronounced and persistent than in boys, which showed a partial return to the initial state i.e. an insufficient formation of adaptive mechanisms. Serious gender differences were revealed which derated the cardiovascular system for boys. Conclusions. Within the framework of the new approach from the perspective of the chaos-self-organization theory, the features of the cardiovascular system's parameters of preadolescent population under the influence of various climatic and geographical factors were studied. Be means of new methods gender peculiarities of vegetative regulation of the organism of schoolchildren before and after the recreation activity in the South of Russia were analyzed.theory of chaos-self-organizationRR intervalsfunctional system of the organismpre-adolescent populationUgraNorthadaptationтеория хаоса - самоорганизациикардиоинтервалыфункциональная система организмадетско-юношеское населениеЮграСеверадаптация[Агаджанян Н. А., Ермакова Н. В. Экологический портрет человека на Севере. М.: КРУК, 1997. 208 с][Галкин В. А., Попов Ю. М., Берестин Д. К., Монастырецкая О. А. Статика и кинематика гомеостатических систем - complexity // Сложность. Разум. Постнеклассика. 2017. № 2. С. 63-69][Гудков А. Б., Попова О. Н., Никанов А. Н. Адаптивные реакции внешнего дыхания у работающих в условиях Европейского Севера // Медицина труда и промышленная экология. 2010. № 4. С. 24-27][Еськов В. В. Хаос нейросетей гомеостатичного мозга // Вестник новых медицинских технологий. 2017. Т. 24, № 4. С. 18-24][Еськов В. М., Зинченко Ю. П., Филатов М. А., Иляшенко Л. К. Теорема Гленсдорфа - Пригожина в описании хаотической динамики тремора при холодовом стрессе // Экология человека. 2017. № 5. С. 27-32][Еськов В. М., Вохмина Ю. В., Горбунов С. В., Шейдер А. Д. Кинематика гомеостатических систем // Вестник кибернетики. 2017. № 2. С. 87-93][Мироновская А. В., Бузинов Р. В., Гудков А. Б. Прогнозная оценка неотложной сердечно-сосудистой патологии у населения северной урбанизированной территории // Здравоохранение Российской Федерации. 2011. № 5. С. 66-67][Нифонтова О. Л., Литовченко О. Л., Гудков А. Б. Показатели центральной и периферической гемодинамики детей коренной народности Севера // Экология человека. 2010. № 1. С. 28-32][Betelin V. B., Eskov V. M., Galkin V. A. and Gavrilenko T. V. Stochastic Volatility in the Dynamics of Complex Homeostatic Systems. Doklady Mathematics. 2017, 95 (1), pp. 92-94.][Eskov V. M., Eskov V. V., Braginskii M. Ya., Pashnin A. S. Determination of the degree of synergism of the human cardiorespiratory system under conditions of physical effort. Measurement Techniques. 201 1, 54 (7), pp. 832-837.][Eskov V. M., Gavrilenko T. V., Vokhmina Y. V., Zimin M. I., Filatov M. A. Measurement of Chaotic Dynamics for Two Types of Tapping as Voluntary Movements. Measurement Techniques. 2014, 57 (6), pp. 720-724.][Eskov V. M., Eskov V. V., Gavrilenko T. V., Zimin M. I. Uncertainty in the quantum mechanics and biophysics of complex systems. Moscow University Physics Bulletin. 2014, 69(5), pp. 406-41 1.][Eskov V. M., Eskov V. V, Gavrilenko T. V, Vochmina J. V. Biosystem kinematics as evolution: Stationary modes and movement speed of complex systems: Complexity. Moscow University Physics Bulletin. 2015, 70 (2), pp. 140-152.][Eskov V. M., Eskov V. V., Vochmina J. V., Gavrilenko T. V. The evolution of the chaotic dynamics of collective modes as a method for the behavioral description of living systems. Moscow University Physics Bulletin. 2016, 71 (2), pp. 143-154.][Eskov V. M., Eskov V. V., Filatova O. E., Khadartsev A. A., Sinenko D. V. Neurocomputational identification of order parameters in gerontology. Advances in Gerontology. 2016, 6 (1), pp. 24-28.][Eskov V. M., Khadartsev A. A., Eskov V. V., Vokhmina J. V. Chaotic dynamics of cardio intervals in three age groups of indigenous and nonindigenous populations of Ugra. Advances in Gerontology. 2016, 6 (3), pp. 191-197.][Eskov V. M., Eskov V. V, Vochmina Y. V, Gorbunov D. V, Ilyashenko L. K. Shannon entropy in the research on stationary regimes and the evolution of complexity. Moscow University Physics Bulletin. 2017, 72 (3), pp. 309-317.][Eskov V. V., Gavrilenko T. V., Eskov V. M., Vochmina Yu. V. Phenomenon of statistical instability of the third type systems - complexity. Technical Physics. 2017, 62 (11), pp. 1611-1616.][Eskov V. M., Eskov V. V., Gavrilenko T. V. and Vochmina Yu. V. Formalization of the Effect of “Repetition without Repetition” discovered by N.A. Bernshtein. Biophysics. 2017, 62 (1), pp. 143-150.][Eskov V. M., Filatova O. E., Eskov V. V., and Gavrilenko T. V. The Evolution of the Idea of Homeostasis: Determinism, Stochastics, and Chaos-Self-Organization. Biophysics. 2017, 62 (5), pp. 809-820.][Filatova O. F., Eskov V. M., Popov Y. M. Computer identification of the optimum stimulus parameters in neurophysiology. International RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers. 1995, pp. 166-172.][Vokhmina Y. V., Eskov V. M., Gavrilenko T. V., Filatova O. E. Measuring Order Parameters Based on Neural Network Technologies. Measurement Techniques. 2015, 58 (4), pp. 462-466.][Zilov V. G., Eskov V. M., Khadartsev A. A., Eskov V. V. Experimental Verification of the Bernstein Effect “Repetition without Repetition”. Bulletin of Experimental Biology and Medicine. 2017, 163 (1), pp. 1-5.]