Analysis of the health state of the population of the Ural (mining) region of the Republic of Bashkortostan

Abstract

The purpose of this work is a quantitative assessment of the factors affecting the health of the population of the Ural region in the Republic of Bashkortostan based on panel regression modelling. Material and methods. The information base was the official statistical materials (2000-2018). Panel data modelling was used as an analysis tool. Results. The state of health of the population of the Ural region was shown to be similar to the general Russian trends. However, territorial specificity is also visible. The overall mortality and mortality rate from the main causes were demonstrated to be significantly influenced by various factors of the socio-economic development of territories, which necessitates taking this heterogeneity into account when developing socio-economic policy measures. A significant contribution to the overall mortality of the entire population was shown to be made by the proportion of the population older than working age, the level of crime, the number of divorces, low income of the population. A gain in the mortality rate from diseases of the circulatory system ensures an increase in the proportion of the population older than working age and a decline in the level of housing provision for the population. The gain in the mortality rate due to neoplasms is also related to the increase in the number of pensioners per 1000 population and low population density. Also, the number of pensioners and low per capita income have an impact on the mortality from respiratory diseases; unemployment and low per capita income - on mortality from diseases of the digestive system. The gain in mortality from external causes is directly related to the increase in the number of registered crimes. Limitations. The study was conducted on the available aggregated data of official statistics, primary data were not used. Conclusion. The analysis of the obtained results and their comparison with the literature data allow determining the priorities of socio-economic, demographic policy at the regional level.