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TYPOLOGIZATION OF RF REGIONS ACCORDING TO SANITARY-EPIDEMIOLOGIC, MEDICAL-DEMOGRAPHIC AND SOCIOECONOMIC DETERMINANTS
Abstract
The article focuses on basic socioeconomic and sanitary-epidemiologic parameters as well as parameters that characterize population health in RF regions. The research goal was to search for reasons that could potentially explain short life expectancy in some RF regions via combining similar territories into groups according to selected parameters. The authors applied a specific statistic procedure for data processing, cluster analysis; it allowed distributing RF regions into 4 clusters where analyzed determinants were similar. Thus, the 1st cluster included 58 regions (Kaliningrad. Krasnodar, Omsk regions, etc.); the 2nd, 7 regions (Altai Republic, Dagestan, Ingushetia, etc.); the 3rd, 5 regions (Moscow city, Saint Petersburg, etc.); the 4th, 13 regions (Arkhangelsk, Novosibirsk, Tyva Republic, etc.). The longest life expectancy equal to 75.81 years was detected in the 2nd cluster. But still, socioeconomic parameters in the regions from this cluster were rather poor; thus, average cluster value of adjusted gross regional product (gross added value) per capita amounted to 243,755.54 rubles; specific weight of urban population in the overall population number amounted to 43.51%. Drinking water quality was comparatively the lowest in this cluster as a share of drinking water samples not conforming to standards as per sanitary-chemical parameters amounted to 23.07%, and a share of drinking water samples deviating from standards as per microbiological parameters amounted to 7.19%. It was assumed that long life expectancy in the 2nd cluster could be due to strong social support provided within communities, low stress levels among population, favorable climatic and geographic conditions in the regions, and preserved traditional lifestyle. The shortest life expectancy (70.18 years) was detected in the 4th cluster. Shares of air, water, and soils samples deviating from standards were high in the regions included into this cluster; samples deviated as per sanitary and chemical parameters (1.19%, air; 23.68%, water; 11.04%, soils) and microbiological ones (6.72%, water; 13.17%, soil). Besides, the cluster had the highest specific weight of housing that was not equipped with centralized water supply (34.0%). It is necessary to perform activities aimed at improving life quality and sanitary-epidemiologic situation in all four clusters.
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