EVALUATION OF THE QUALITY OF LIFE IN THE POPULATION OF THE REGION BY THE MULTI-DIMENSIONAL ANALYSIS

Abstract

Introduction. The methodology of studying the quality of life is one of the intensively developed scientific directions. The aim of the work is to assess the quality of life in the population of the region on the basis of multidimensional mathematical analysis of a wide range of environmental factors and living conditions. Material and methods. The study was conducted on the example of the Irkutsk region. In order to establish the features of the formation of the quality of life under the influence of a wide range of environmental factors, methods of multivariate factor analysis have been used. At the first stage, the principal components analysis was applied. At the next stage, the analysis of the relationship between the eigenvalues of the main components and the index of the average life expectancy was carried out with the correlation-regression analysis. Results. The most significant indices were established to positively characterize the improvement of the quality of life in the population of the region as follows: housing security and accessibility of housing, income, marriage and fertility rates, the level of pensions, the health system’s supply of human resources. Indices mostly reflecting the negative impact of the habitat on the quality of life are: the prevalence of syphilis, alcoholism, tuberculosis; number of abortions; the score of the migration outflow of the population; levels of poverty and unemployment; the level of water pollution; the score of social environment criminality; provision of the population with a bed fund, etc. There was an increase in the quality of life in the population of the region, accompanied by an increase in the average life expectancy of men and women in 1999-2014. Discussion. The applied methodology is used in epidemiological and ecological studies by domestic and foreign authors. In studies with similar objects and subject of research, but using other methods of factor analysis, similar results were obtained. Conclusion. The main vector of changes in the quality of life in the population of the region was the strongest clear correlation with individual socio-economic and demographic indices; the strongest inverse correlation was noted with the incidence rates of socially conditioned diseases, criminality, poverty, health system resources, etc.