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Years of Life Lost Due to Premature Death and Their Relationship with Climate and Socio-Economic Performance of Regions
Author(s) -
S. А. Boytsov,
I. V. Samorodskaya,
V. V. Tret'jakov,
М. А. Ватолина
Publication year - 2015
Publication title -
vestnik rossijskoj akademii medicinskih nauk
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.122
H-Index - 15
eISSN - 2414-3545
pISSN - 0869-6047
DOI - 10.15690/vramn.v70.i4.1412
Subject(s) - geography , demography , sociology
Background: The «years of potential life lost» (YPLL) indicator is widely used in international studies. Still YPLL's variety in the Russian regions is poorly investigated.Objective: Our aim was to study the performance of YPLL in the regions of Russia in 2013 and their relationship with the regional socio-economic indicators.Methods: Non-clinical observational study was conducted. The object of study — YPLL in the Russian regions. YPLL per 100 thousand population (non-standardized and standardized to the world standard population age structure) is based on data of Rosstat. Subject of investigation — YPLL variability in the regions, the evaluation of the correlation between YPLL, climatic effect and socio-economic indicators of the regions.Results: The average standardized YPLL in the region was 20 185 (95% CI 19 272–21 029); non-standardized — 25 880 (95% CI 24 744–26 957). Maximum standardized YPLL above the minimum in 3.4 times. Minimum YPLL rates were recorded in the North Caucasus, Moscow and St. Petersburg; maximum — in Chukotka, Republic of Tuva and the Jewish Autonomous Region. Negative statistically significant correlation to the average power detected between YPLL and: 1) specific weight of the total space, equipped with water supply, hot water supply and sanitation; 2) share of population with tertiary education in total population; 3) road density (km of roads per 1000 sq km); 4) climatic conditions.Conclusion: The regional YPLL indicators vary considerably and are higher than the similar indicators in developed countries. According to the findings PYLL indicator are influenced by economic factor,indicators of household living conditions of the population, the infrastructure system in the region, the level of education of the population and climatic effect. The resuts we got require further multidisciplinary study of the problem.

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