This study addresses the issue of dynamics and analysis of mortality factors from cardiovascular diseases (CVD) in the municipal district of Kuzbass in the Kemerovo Region. Currently, there is a shortage of such studies among Russian authors, as they tend to focus on the problem mainly at the level of individual constituent entities of the Russian Federation, sub-federal or national ones. The aim of this review is to analyze the factors influencing the dynamics and prognosis of mortality from CVD in the municipal district of the Kemerovo region – Kuzbass. Materials and methods. Federal statistical observation forms were used as information sources. The main research method was multivariate regression analysis performed using the Gretl cross-platform software package for econometric analysis. The least squares method was applied in developing the regression model. Results. In the course of the study, the factors characterized by a significant statistical relationship were identified and included in the final improved regression model. The resulting linear regression equation shows a statistical relationship between an increase in the adult population and the proportion of people older than working age with an increase in mortality from CVD, while a decrease in this indicator is associated with positive dynamics in the number of visits related to preventive and other purposes. Conclusion. The revealed links between individual factors of the dynamics of mortality from CD in a large municipal area of the Kemerovo region can serve as a basis for the development of organizational solutions aimed at reducing this indicator. The prospects for further research are seen in the replication of this research approach to other municipal districts of the Kemerovo region – Kuzbass.
This study addresses the issue of dynamics and analysis of mortality factors from cardiovascular diseases (CVD) in the municipal district of Kuzbass in the Kemerovo Region. Currently, there is a shortage of such studies among Russian authors, as they tend to focus on the problem mainly at the level of individual constituent entities of the Russian Federation, sub-federal or national ones. The aim of this review is to analyze the factors influencing the dynamics and prognosis of mortality from CVD in the municipal district of the Kemerovo region – Kuzbass. Materials and methods. Federal statistical observation forms were used as information sources. The main research method was multivariate regression analysis performed using the Gretl cross-platform software package for econometric analysis. The least squares method was applied in developing the regression model. Results. In the course of the study, the factors characterized by a significant statistical relationship were identified and included in the final improved regression model. The resulting linear regression equation shows a statistical relationship between an increase in the adult population and the proportion of people older than working age with an increase in mortality from CVD, while a decrease in this indicator is associated with positive dynamics in the number of visits related to preventive and other purposes. Conclusion. The revealed links between individual factors of the dynamics of mortality from CD in a large municipal area of the Kemerovo region can serve as a basis for the development of organizational solutions aimed at reducing this indicator. The prospects for further research are seen in the replication of this research approach to other municipal districts of the Kemerovo region – Kuzbass.
The study was supported by the Russian Federation, specifically the Ministry of Science and Higher Education of the Russian Federation, under the Agreement for providing grant funding in the form of subsidies from the federal budget, dated September 30, 2022, No. 075-15-2022-1202. The study is a part of a comprehensive scientific and technological program of the full innovation cycle, entitled “Development and implementation of technologies in the fields of solid mineral exploration and extraction, industrial safety, bioremediation, and the creation of new products through deep coal processing, all with a gradual reduction of environmental impact and risks to the population`s well-being”. This initiative was established by the Russian Government`s decree No. 1144-r on May 11, 2022.