REGIONAL LIVING CONDITIONS AND CIRCULATORY DISEASE RATES IN THE RUSSIAN WORKING-AGE POPULATION IN 2017–2021

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.

1. Popova A.Yu., Kuzmin S.V., Zaitseva N.V., May I.V. Priorities in scientific support provided for hygienic activities accomplished by a sanitary and epidemiologic service: how to face known threats and new chnallanges. Health Risk Analysis. 2021; 1:4-14. doi: 10.21668/health.risk/2021.1.01. (In Russian)

2. Zaitseva N.V., May I.V., Kleyn S.V., Guskov A.A., Kolesnikova N.I., Maksimovа Е.V. Methodological approaches and some results of the assessment of objects of accumulated environmental damage according to public health risk criteria. Hygiene and Sanitation. 2023;102(5):523-531. doi:10.47470/0016-9900-2023-102-5-523-531. (In Russian)

3. Mozganov M.Yu., Nikolaeva N.I., Filin A.S., Malyshek V.V., Onishchenko G.G. Analysis of some promising directions of the development of the public health risk assessment in the Russian Federation (review article). Hygiene and Sanitation. 2024;103(1):76-80. doi:10.47470/0016-9900-2024-103-1-76-80. (In Russian)

4. Gurvich V.B., Kuzmin S.V., Yarushin S.V., Dikonskaya O.V., Nikonov B.I., Malykh O.L., Kochneva N.I., Derstuganova T.M. Methodological approaches to the assurance of sanitary-epidemiological welfare on the base of the methodology of population’s health risk management. Hygiene and Sanitation. 2015;94(2):82-88. (In Russian)

5. Kuzmin S.V., Dodina N.S., Shashina T.A., Kislitsin V.A., Pinigin M.A., Budarina O.V. The impact of atmospheric pollution on public health: diagnosis, assessment, and prevention. Hygiene and Sanitation. 2022;101(10):1145-1150. doi: 10.47470/0016-9900-2022-101-10-1145-1150. (In Russan)

6. Zaitseva N.V., May I.V., Kiryanov D.A. Population prevalence determined by environmental factors as additional burden on the public healthcare and a factor causing economic losses in regions. Health care of the Russian Federation. 2023;67(6):471-478. doi:10.47470/0044-197X-2023-67-6-471-478 (In Russian)

7. German S.V., Bobrovnitskii I.P., Balakaeva A.V. The impact of air pollution with the particulate matter on the development of cardiovascular diseases (literature review). Hygiene and Sanitation. 2021;100(6):555-559. doi:10.47470/0016-9900-2021-100-6-555-559. (In Russian)

8. World Health Organization. Burden of disease attributable to unsafe drinking-water, sanitation and hygiene: Executive summary. 2019. Available at: https://www.who.int/publications/m/item/burden-of-disease-attributable-to-unsafe-drinking-water--sanitation-and-hygiene--executive-summary (accessed 20.06. 2024).

9. Kim J.H., Cheong H.K., Jeon B.H. Burden of disease attributable to inadequate drinking water, sanitation, and hygiene in Korea. J. Korean Med. Sci. 2018; 33(46): e288. doi: 10.3346/jkms.2018.33.e288.

10. Lebedeva-Nesevrya N.A., Barg A.O., Tsinker M.Yu., Kostarev V.G. Assessment of correlation between heterogeneous risk factors and morbidity among working population in russian regions with different background of health formation. Health Risk Analysis, 2019, no. 2, pp. 91–100. doi: 10.21668/health.risk/2019.2.10. (In Russian)

11. Aganbegyan A.G. How to restore the safety of the people of Russia. Population. 2021. 2021;24(2):4-18. doi:10.19181/population.2021.24.2.1.

12. Dobrokhleb V.G. Russian population ageing: regional aspect. Territorial development issues. 2018;4(44):4. doi: 10.15838/tdi.2018.4.44.4

13. Tihonova G.I., Gorchakova T.Ju. Smertnost' muzhskogo naselenija v stranah ES i Rossii. In: III Vserossijskij demograficheskij forum s mezhdunarodnym uchastiem. Materialy foruma. Moskva, 2021. S. 189-193. https://www.fnisc.ru/publ.html?id=10027. doi: 10.19181/forum.978-5-89697-373-7.2021. (In Russian)

14. Oganov R.G., Maslennikova G.Ya. Demographic trends in the Russian Federation: the impact of cardiovascular disease. Cardiovascular Therapy and Prevention. 2012;11(1):5-10. doi:10.15829/1728-8800-2012-1-5-10. (In Russian)

15. Drapkina O.M., Samorodskaya I.V. Dynamics of Regional Mortality Rates From Cardiac Causes in Russia 2019–2020. Kardiologiia. 2022;62(10):16-25. doi:10.18087/cardio.2022.10.n1926. (In Russian)

16. Usacheva E.V., Kulikova O.M. Economic damage from loss of health due to cardiovascular diseases (after the example of Omsk region). Public Health and Health Care. 2016;2(50):31-38. (In Russian)

17. Semenov V.Yu., Samorodskaya I.V., Starinskaya M.A., Boytsov S.A. Nosological structure of mortality from diseases of the circulatory system of the population in three age groups of the population of the Russian Federation. Manager Zdravoochranenia. 2018;(5):31-41. (In Russian)

18. Artamonova G.V., Tabakaiev M.V., Maksimov S.A., Barbarash L.S. [The Social Economic Factors and Models of Forecasting Mortality Because of Cardiovascular Diseases]. Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med. 2018;26(4):221-225. doi: 10.32687/0869-866X-2018-26-4-221-225. (In Russian)

19. Zelenina A.A., Shalnova S.A., Muromtseva G.A., Kapustina A.V., Balanova Yu.A., Evstifeeva S.E., Imaeva A.E., Karamnova N.S., Shvabskaya O.B., Maksimov S.A. Association between cardiovascular mortality and deprivation in the adult population of Russia. Cardiovascular Therapy and Prevention. 2024;23(3):3903. doi:10.15829/1728-8800-2024-3903. (In Russian)

20. Goncharov M.V., Maksimov S.A., Berns S.A., Drapkina O.M. Development of an integrated assessment framework for assessing regional quality of life for monitoring the health status of the population of the subjects of the Russian Federation. Complex Issues of Cardiovascular Diseases. 2024;13(1):77-87. doi:10.17802/2306-1278-2024-13-1-77-87. (In Russian)

21. Zabolevaemost' vzroslogo naselenija Rossii v 2017-2021 godah. Statisticheskie materialy. Chast' III. M.: Departament monitoringa, analiza i strategicheskogo razvitija zdravoohranenija Ministerstva zdravoohranenija Rossijskoj Federacii, FGBU «Central'nyj nauchno-issledovatel'skij institut organizacii i informatizacii zdravoohranenija» Ministerstva zdravoohranenija Rossijskoj Federacii; 2018-2022. (In Russian)

22. Obshhaja zabolevaemost' vzroslogo naselenija Rossii v 2017-2021 godah. Statisticheskie materialy. Chast' IV. M.: Departament monitoringa, analiza i strategicheskogo razvitija zdravoohranenija Ministerstva zdravoohranenija Rossijskoj Federacii, FGBU «Central'nyj nauchno-issledovatel'skij institut organizacii i informatizacii zdravoohranenija» Ministerstva zdravoohranenija Rossijskoj Federacii; 2018-2022. (In Russian)

23. Zabolevaemost' naselenija starshe trudosposobnogo vozrasta po Rossii v 2017-2021 godah. Statisticheskie materialy. Chast' VII. M.: Departament monitoringa, analiza i strategicheskogo razvitija zdravoohranenija Ministerstva zdravoohranenija Rossijskoj Federacii, FGBU «Central'nyj nauchno-issledovatel'skij institut organizacii i informatizacii zdravoohranenija» Ministerstva zdravoohranenija Rossijskoj Federacii; 2018-2022. (In Russian)

24. Obshhaja zabolevaemost' naselenija starshe trudosposobnogo vozrasta po Rossii v 2017-2021 godah. Statisticheskie materialy. Chast' VIII. M.: Departament monitoringa, analiza i strategicheskogo razvitija zdravoohranenija Ministerstva zdravoohranenija Rossijskoj Federacii, FGBU «Central'nyj nauchno-issledovatel'skij institut organizacii i informatizacii zdravoohranenija» Ministerstva zdravoohranenija Rossijskoj Federacii; 2018-2022. (In Russian)

25. Shastin A.S., Gazimova V.G., Tsepilova T.M., Malykh O.L., Panov V.G. Circulatory disease rates in the working-age population of the Russian Federation in 2015—2019: regional features. Russian Journal of Preventive Medicine. 2022;25(11):28‑35. doi: 10.17116/profmed20222511128 (In Russian)

26. Bantyeva M.N., Prilipko N.S. Age aspects of adult morbidity based on health encounters at outpatient health care facilities. Social Aspects of Population Health. 2013;32(4):7. In Russian).

27. Sirotko ML. Evaluation and characteristics of population ageing. Science and Innovations in Medicine. 2018;3(4):68-72. doi: 10.35693/2500-1388-2018-0-4-68-72 (In Russian)

28. Jacob M.E., Ni P., Driver J., Leritz E., Leveille S.G., Jette A.M., Bean J.F .Burden and patterns of multimorbidity: Impact on disablement in older adults. Am. J. Phys. Med. Rehabil. 2020; 99(5): 359–65. doi: 10.1097/PHM.0000000000001388.

29. Polikarpov A.V., Mitroshin1.V., Moravskaya S.V., Mirgorodskaya O.V. Analysis of the territorial location of medical organizations and their structural subdivisions in the subjects of the far eastern federal district. Current problems of health care and medical statistics. 2022;5:762-783. doi: 10.24412/2312-2935-2022-5-762-783. 92022 (In Russian)

30. Zoricheva A.L. Primary health care in individual regions of the russian federation: problems, success, prospects. Hospital medicine: science and practice. 2023;6(4):59-68. doi: 10.34852/GM3CVKG.2023.84.97.040 ( In Russian)

31. Shishkin S., Potapchik E., Selezneva E. Private Health Care Sector in Russia: Present State and Development Prospects. Voprosy Ekonomiki. 2013;(4):94-112. doi:10.32609/0042-8736-2013-4-94-112. (In Russian)

32. Burleva EP, Shastin AS, Peshkov AV, Tyurin SA, Solodushkin SI. Chronic vein diseases in the population in the Ural Federal District. Statistics and trends. Ural Medical Journal. 2022;21(3):66-74. doi: 10.52420/2071-5943-2022-21-3-66-74 (In Russian)

33. Antipenok A.A., Antipenok N.A., Petrov S.B. Comparative assessment of the structure of outpatient medical care in public and private health organizations. Medical education today. 2024;1(25):30-38. (In Russian)

34. Schraufnagel D.E., Balmes J.R., Cowl C.T., De Matteis S., Jung S.H., Mortimer K., Perez-Padilla R., Rice M.B., Riojas-Rodriguez H., Sood A., Thurston G.D., To T., Vanker A., Wuebbles D.J. Air pollution and noncommunicable diseases: A review by the Forum of International Respiratory Societies' Environmental Committee, Part 1: The damaging effects of air pollution. Chest. 2019; 155(2): 409–16. doi: 10.1016/j.chest.2018.10.042.

35. Romieu I., Gouveia N., Cifuentes L.A., de Leon A.P., Junger W., Vera J., Strappa V., Hurtado-Díaz M., Miranda-Soberanis V., Rojas-Bracho L., Carbajal-Arroyo L., Tzintzun-Cervantes G.; HEI Health Review Committee. Multicity study of air pollution and mortality in Latin America (the ESCALA study). Res. Rep. Health Eff. Inst. 2012; (171): 5–86.

36. Nikiforova N.V., Tsinker M.Yu., Lebedeva-Nesevria N.A., Barg A.O. Evaluating health of working population, associated with social economic factors (exemplified by municipal districts of Perm’ region). Russian Journal of Occupational Health and Industrial Ecology. 2017;(11):58-62. (In Russian)