Age-Related Changes in Heart Rate Variability Among Residents of the Russian North

In this paper we present new models of homeostasis as uninterrupted and chaotic changes of functional systems parameters of human body. The aim of the study is to establish the statistical and chaotic patterns of age-related changes in heart rate variability of residents of the North of the Russian Federation. Methods. The main outcomes variable was R-R interval measured using pulse oximeter "EL0KS-01". Data on other cardiovascular system functional parameters were also obtained. The new approach for the analysis we present is based on calculation of coordinates xi which are included in a common vector x(t). The new presentation of complex systems evolution for aboriginal residents and newcomers was presented. We studied permanent female residents of the Ugra region and newcomers. Results. The result of the study showed that according to a new theory of chaos-self organization there are substantial differences between dynamics of quasi-attractors of cardio-vascular system of newcomers. Age-related changes in the area of quasi-attractors demonstrate significant changes that satisfy the condition of a two-fold change in R-R intervals with age. Many people surveyed after 55 years give an increase in their quasi-attractor, which is inconsistent with the dynamics of change in the area of quasi-attractor S from time T for Khanty women and does not guarantee real longevity. The dynamic is not typical for normal aging changes of functional system parameters xi (especially R-R intervals x(t)). Conclusions. It is established that these quasi-attractors decrease with age (their area S), which is typical for the parameters of the R-R intervals. The dependence of the rate of age evolution of R-R intervals for aboriginal women is obtained, which can be used as a standard of normal aging of the human body in the Russian North

Age groups · Attractor · Chaotic · Combinatorics · Mathematical analysis · Sociology · Statistics · Biofield Effects and Biophysics · Computer Science · Demography · Fusion and Plasma Physics Studies · Mathematics · Medicine · Technology and Human Factors in Education and Health · Artificial Intelligence

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