Regional Living Conditions and Circulatory Disease Rates in the Russian Working-age Population in 2017–2021
Year: 2025
Type: article
Study design: Observational Study
Abstract: Highlights The conducted study allowed us to identify associations between circulatory system disease incidence rates in the working-age population and regional living conditions: socio-geographical, demographic, economic, industrial, and environmental. Improving the effectiveness of government measures to manage population health risks and extend life expectancy requires objective information on population morbidity rates in the working-age population. The presented methodological approaches and results can be used to develop scientific, methodological, and practical algorithms for assessing and predicting the impact of various factors on the health of different age categories of the population of the Russian Federation. Abstract Aim. To analyze the association between morbidity indicators in working-age population and integrated regional indices of living conditions of the subjects of the Russian Federation. Methods. We calculated incidence and prevalence rates of circulatory system diseases in the population based on official statistics and assessed living conditions using previously obtained regional socio-geographic, demographic, industrial, environmental, and economic indices for the years 2017 to 2021. Associations between regional living conditions and disease rates were established using generalized linear models. Results. The findings revealed the relationships between the level of demographic depression, economic development of the regions, socio-geographic, industrial and environmental living conditions and low and high disease incidence and prevalence among the working-age population. Conclusions. The techniques and results described in the article can be used to develop methodological approaches to assessing and predicting the impact of various factors on the health of different age groups of the population.
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4410103189