Peculiarities of the interaction of the indicators of psychophysiological adapta-tion of modern students in the context of the effective monitoring of individual health of young women and young men

Abstract

Creation of modern information systems for supervision, monitoring and controlling the health of the population of the state is completely impossible without ensuring effective monitoring of the state of individual health, the establishment and implementation of a comprehensive assessment of both external (environmental factors, social living conditions etc.) and internal (the course of processes of psychophysiological adaptation, the level of development of psychophysiological functions of the organism and personality traits etc.) risk factors, as well as the definition of adequate ways to motivate the healthy way of life, the development of individually significant recommendations for the preservation and strengthening of health of various categories of the population, especially the most vulnerable, such as pupils and students [1, 2, 3, 4]. In this context, particular importance is attached to the approaches aimed at the effective implementation of a comprehensive analysis of extremely large in its scope of information arrays, which actually have data on the functional capabilities of the organism and the state of health of the subjects, to determine the number and nature of the primary, virtually significant factors, determinants and risk factors to be eliminated or to be influenced, act in a particular direction, modify etc [3, 5, 6, 7, 8]. It is precisely this that offers factor analysis procedures that allow a quantitative assessment of the characteristics of the investigated indicators to be directly determined on the basis of the evaluation of the characteristics, the level of expression of which is established and, therefore, provide an opportunity to identify a rather narrow set of properties for a significant part of the initial characteristics that characterize the connection between the groups of these signs and certain generalized factors. In general, factor analysis is attributed to statistical methods that allow for a completely correct statistical description of multidimensional objects that are characterized by the presence of a plurality of quantitative attributes, and, therefore, a redundancy of the initial characteristics of the system under study, based on the definition of the depth indicators that actually form them and determine [