Assessment of loss of health of the population of an older age group

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Abstract

Introduction. The problems of preserving the health of the older generation are especially significant for society and determine the need to search for key indices of medical and social well-being.

The purpose of the study is to develop a method for assessing the health losses of the population of the older age group and to test using the example of the Siberian Federal District.

Material and methods. For a comprehensive assessment, the following groups of indices were used: the life expectancy, mortality, morbidity, chronic diseases, cumulative disability in group 60+. An integrated assessment of health by the sum of normalized indices by the average value for the Siberian Federal District (NP) is proposed. There was using cluster analysis.

Results. Dysfunctional territories (NP≥3) include: Altai Territory, Altai Republic, Irkutsk Region. 4 clusters were identified, of which the 1st cluster has the highest mortality and morbidity rates. Levels of life expectancy, the coefficient of chronicity of diseases in the IV cluster is higher than in II cluster. Cluster III is characterized by the lowest mortality, morbidity, against the background of minimal life expectancy and high cumulative disability.

Discussion. The value of the proposed method is limited by the completeness of information on indices of health loss, the different availability of medical care in the territories.

Conclusion. The proposed approach to assessing health losses in a group of older people has shown medical and demographic problems in the Siberian Federal District to be very different, which determines a differentiated approach to maintaining public health.

About the authors

Oksana V. Ushakova

East-Siberian Institute of Medical and Ecological Research

Author for correspondence.
Email: noemail@neicon.ru
ORCID iD: 0000-0001-6084-2101
Russian Federation

Natalia V. Efimova

East-Siberian Institute of Medical and Ecological Research

Email: medecolab@inbox.ru
ORCID iD: 0000-0001-7218-2147

MD, Ph.D., DSci, professor, lead researcher, East-Siberian Institute of medical and ecological research, Angarsk, 665827, Russian Federation.

e-mail: medecolab@inbox.ru

Russian Federation

Aleksandr Yu. Tarasov

Irkutsk State Medical University

Email: noemail@neicon.ru
ORCID iD: 0000-0002-5228-0847
Russian Federation

Elena V. Katamanova

East-Siberian Institute of Medical and Ecological Research

Email: noemail@neicon.ru
ORCID iD: 0000-0002-9072-2781
Russian Federation

References

  1. United Nations, Department of Economic and Social Affairs. Population Division. World Population Prospects 2019. File POP/9-1: Percentage total population (both sexes combined) by broad age group, region, subregion and country, 1950–2100. File POP/13-A: Old-age dependency ratio 65+/(15–64) by region, subregion and country, 1950–2100 (ratio of population 65+ per 100 population 15-64). Available at: https://population.un.org/wpp/Download/Standard/Population/
  2. Iwaya T., Doi T., Seichi A., Hoshino Y., Ogata T., Aka M. Relationship between physician-judged functioning level and self-reported disabilities in elderly people with locomotive disorders. Qual. Life Res. 2017; 26(1): 35–43. https://doi.org/10.1007/s11136-016-1377-4
  3. Steel N., Ford J.A., Newton J.N., Davis A.C.J., Vos T., Naghavi M., et al. Changes in health in the countries of the UK and 150 English Local Authority areas 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2018; 392(10158): 1647–61. https://doi.org/10.1016/S0140-6736(18)32207-4
  4. GBD 2017 Mortality Collaborators. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159): 1684–735. https://doi.org/10.1016/s0140-6736(18)31891-9
  5. Mad’yanova V.V., Kakorina E.P., Klokova T.A. The characteristics of morbidity of population older than able-bodied age in the Russian Federation in 2012–2018. Problemy sotsial’noy gigieny, zdravookhraneniya i istorii meditsiny. 2020; 28(2): 207–15. https://doi.org/10.32687/0869-866X-2020-28-2-207-215 (in Russian)
  6. Akanov A.A., Tulebaev K.A., Tret’yakova S.N., Kalmakhanov S.B., Zhanturiev B.M., Igisenova A.I., et al. The number of years of life expectancy in good health among the older population in Almaty. Vestnik Kazakhskogo Natsional’nogo meditsinskogo universiteta. 2015; (2): 627–31. (in Russian)
  7. Gagauz O., Avram C., Pahomii I. Self-perceived health of the elderly: economic and sociodemographic inequalities. Economie si Sociologie: Revista Teoretico-Stiintifica. 2017; (1–2): 45–53.
  8. Doménech-Abella J., Mundó J., Moneta M.V., Perales J., Ayuso-Mateos J.L. , Miret M., et al. The impact of socioeconomic status on the association between biomedical and psychosocial well-being and all-cause mortality in older Spanish adults. Soc. Psychiatry Psychiatr. Epidemiol. 2018; 53(3): 259–68. https://doi.org/10.1007/s00127-018-1480-7
  9. Rommel A., von der Lippe E., Plaß D., Wengler A., Anton A., Schmidt C., et al. BURDEN 2020-Burden of disease in Germany at the national and regional level. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2018; 61(9): 1159–66. https://doi.org/10.1007/s00103-018-2793-0
  10. Kobyakova O.S., Deev I.A., Nesvetaylo N.Ya., Boykov V.A., Shibalkov I.P. The number of life years lost (DALYs) due to premature mortality in the population of Tomsk region in 2012. Vestnik Rossiyskoy akademii meditsinskikh nauk. 2013; (11): 60–4. (in Russian)
  11. Burkin M.M., Molchanova E.V. Health and social support of elderly people in Russia and northern Europe. Ekonomika i predprinimatel’stvo. 2018; (5): 250–8. (in Russian)
  12. Drapkina O.M., Samorodskaya I.V., Bolotova E.V., Starinskaya M.A. Nosological structure of lost years of potential life at an economically active age in the Russian Federation in 2016. Profilakticheskaya meditsina. 2019; 22(1): 22–8. (in Russian)
  13. Zhukova T.V., Gorbacheva N.A., Avetisyan Z.E., Usova A.A., Gasparyan M.M. Comprehensive assessment of the actual age in the middle and older age groups. Zdorov’e naseleniya i sreda obitaniya. 2018; (5): 17–21. (in Russian)
  14. World Health Statistics 2020: Monitoring Health for the SDGs, Sustainable Development Goals. Available at: https://apps.who.int/iris/bitstream/handle/10665/332070/9789240005105-eng.pdf?ua=1
  15. Voroshilova I.I., Parkhomenko R.S., Efanov V.N. Life expectancy, mortality and disability in evaluation of the quality of life of elderly people. Klinicheskaya gerontologiya. 2009; 15(12): 9–12. (in Russian)
  16. Panchenko A.S. Comparative analysis of the public health in the Russian Federation and the Republic of Belarus. Natsional’nye interesy: prioritety i bezopasnost’. 2018; 14(10): 1961–74. (in Russian)
  17. Collection of statistical and analytical materials. The main indicators of public health and health of the Siberian Federal District in 2017 year. Novosibirsk; 2018. (in Russian)
  18. Collection of statistical and analytical materials. The main indicators of public health and health of the Siberian Federal District in 2018 year. Novosibirsk; 2019. (in Russian)
  19. Collection of statistical and analytical materials. The main indicators of public health and health of the Siberian Federal District in 2019 year. Novosibirsk; 2020. (in Russian)
  20. Garin N., Koyanagi A., Chatterji S., Tyrovolas S., Olaya B., Leonardi M., et al. Global multimorbidity patterns: a cross-sectional, population-based, multi-country study. J. Gerontol. A Biol. Sci. Med. Sci. 2016; 71(2): 205–14. https://doi.org/10.1093/gerona/glv128
  21. Starodubov V.I., Edeleva A.N., Sabgayda T.P. Multimorbidity of elderly individuals in urban and rural areas of the Nizhny Novgorod region. Uspekhi gerontologii. 2018; 31(1): 25–31. (in Russian)
  22. Yakovleva T.P., Mikhaylova N.S., Tikhonova G.I., Kalitina M.A. Comparative analysis of morbidity and mortality of the population living in various climatic zones of Russia. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2018; 97(9): 813–8. (in Russian)
  23. Lay A.R., do Nascimento C.F., Burgos F.C., Del A., Huerta C.L., Rivera Zeballos R.E., et al. Duarte gender differences between multimorbidity and all-cause mortality among older adults. Curr. Gerontol. Geriatr. Res. 2020; 2020: 7816785. https://doi.org/10.1155/2020/7816785
  24. Puzin S.N., Shurgaya M.A., Dmitrieva N.V., Pogosyan G.E., Lyalina I.V., Mammaraeva A.M., et al. Epidemiology of disability of adult population in the Russian Federation. Epidemiologiya i vaktsinoprofilaktika. 2019; 18(5): 14–23. https://doi.org/10.31631/2073-30462019-18-5-14-23 (in Russian)
  25. Boytsov S.A., Shal’nova S.A., Deev A.D. Cardiovascular mortality in the Russian Federation and possible mechanisms of its changes. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova. 2018; 118(8): 98–103. https://doi.org/10.17116/jnevro201811808198 (in Russian)
  26. Olaya B., Domènech-Abella J., Moneta M.V., Lara E., Caballero F.F., Rico-Uribe L.A., et al. All-cause mortality and multimorbidity in older adults: the role of social support and loneliness. Exp. Gerontol. 2017; 99: 120–6. https://doi.org/10.1016/j.exger.2017.10.001
  27. Askarov R.A., Frants M.V., Utyasheva I.B., Askarova Z.F., Egorova Yu.V., Chuenkova G.A. Identification of life expected factors: analysis of panel data. Zdravookhranenie Rossiyskoy Federatsii. 2019; 63(6): 313–32. https://doi.org/10.18821/0044-197X-2019-63-6-313-321 (in Russian)
  28. Petrun’ko I.L., Men’shikova L.V., Sergeeva N.V., Cherkasova A.A. The nosological structure of disability in osteoarthritis in the Irkutsk region. Nauchno-prakticheskaya revmatologiya. 2018; 56(2): 202–7. https://doi.org/10.14412/1995-4484-2018-202-207 (in Russian)
  29. Puzin S.N., Shurgaya M.A., Memetov S.S., Sviridenko A.V. Contemporary pattern of regional differentiation of disability due to cardiovascular diseases in the elderly in Russian Federation. Vestnik vserossiyskogo obshchestva spetsialistov po mediko-sotsial’noy ekspertize, reabilitatsii i reabilitatsionnoy industrii. 2017; (1): 33–41. (in Russian)
  30. Zarkov S.I. The structure and level of disability in elderly and senile age in Russia for the last 10 years. V mire nauchnykh otkrytiy. 2014; 11–10(59): 3806–15. (in Russian)

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Copyright (c) 2024 Ushakova O.V., Efimova N.V., Tarasov A.Y., Katamanova E.V.


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