Abstract

There was investigated the contribution of factors of environment to formation of health for adult population on indicators of mid-annual rates of growth/decrease of disease of system of blood circulation and of some interfaced nosology on an example of the population of Vladimir region. The differential criterion of primary disease of system of blood circulation is considered as an indicator, integrally reflecting degree of adaptation to environment conditions on population and suitable for construction short-term prognostic estimations.It is shown that business factors or the factors of a standard of living characterized by economic indicators, are leading risk factors in disease of system of blood circulation in Vladimir region which contribution is estimated by size of 38 %.With use of regressive equations were received look-ahead estimations of annual rates of primary disease of system of blood circulation. In the regional centre Vladimir was observed more intense situation on rates of disease of system of blood circulation, than in Vladimir region.

Highlights

  • The circulatory system diseases are the number one cause of deaths worldwide

  • We considered as important factors: 1) the environmental factors, 2) the sociological and socio-psychological factors, 3) the factors of the nutritional status, 4) the economic factors, 5) the socioeconomic factors, 6) other factors, including the heredity factor

  • Based on the collected statistical information for the 6-year period, we evaluated the differential criteria for indicators of primary incidence of diseases of the circulatory system

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Summary

Introduction

The circulatory system diseases are the number one cause of deaths worldwide. It is generally accepted that human health is determined by the complex impact of a number of factors: heredity, way and quality of life, as well as the quality of the environment. The aggregate impact on the population's health consists of the lifestyle (50%), the habitat (20%), the heredity (20%), and the quality of healthcare (10%). These data are indicative and may vary significantly in different regions (Levi et al, 2009). The increase in negative manifestations in the economic and socioeconomic spheres leads to changes in the levels of adaptation of the population as a whole: from pre-disease states to formation of pathology (O'Keefe, 2009)

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