Modeling the risk of becoming disabled in Russia: an assessment based on the Russian longitudinal monitoring survey
Abstract
The article is devoted to modeling disability risk in Russia based on microdata. The need to assess the risk of becoming disabled is due to the significant scale of disabilities in Russia and their differentiation for socio-demographic groups of the population. The aim of the study is to determine the factors influencing the risk of disability in Russia. The difficulty of assessing the risk of disability is associated with the lack of representative monitoring surveys of disability, as well as data on mortality of persons with disabilities, including by age groups and diseases. To model the risk of becoming disabled, data from the Russian Monitoring of Economy and Health (NRU HSE) were used for the period from 2003 to 2018. The sample size was more than 125 thousand respondents, of which 519 individuals received a disability. Based on Cox regressions, a series of survival models was built to assess the influence of socio-economic factors on the risk of a healthy person becoming disabled. The IBMSPSS 25.0 software package was used for the calculations. The most noticeable risk of disability increases for men and women after the age of 50 and reaches 3-4% by the age of 60. There are differences in the risk of becoming disabled for men and women, as well as depending on the level of education, marital status and area of residence. The presence of a significant excess of the risk of becoming disabled among representatives of certain professional groups was revealed. The highest risk of becoming disabled in group 2 is observed among specialists of the highest and average qualifications, office workers and specialists in working with clients, workers in the trade and services sector, as well as among qualified workers in agriculture, forestry and fishing. Differentiation of the risk of becoming disabled in old age is due to accumulated health defects, in a significant part of cases those associated with professional activities, as well as to varying degrees of access to medical services and disability information.
Downloads
References
Adler N.E., Snibbe A.C. (2003). The role of psychosocial processes in explaining the gradient between socioeconomic status and health. Current Directions in Psychological Science, 12(4), 119–123. DOI: 10.1111/1467-8721.01245
Andersen P.K., Borch-Johnsen K., Deckert T., Green A., Hougaard P., Keiding N., Kreiner S. (1985). A Cox Regression Model for the Relative Mortality and Its Application to Diabetes Mellitus Survival Data. Biometrics, 41(4), 921. DOI: 10.2307/2530964
Bellera C.A., MacGrogan G., Debled M., de Lara C.T., Brouste V., Mathoulin-Pélissier S. (2010). Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer. BMC Med Res Methodol. Mar 16, 10:20. DOI: 10.1186/1471-2288-10-20. PMID: 20233435; PMCID: PMC2846954
Brandström A., Broström G., Persson L.-A. (1984). The impact of feeding patterns on infant mortality in a nineteenth-century Swedish parish. J. Trop. Pediat, 40, 154-159. DOI: 10.1093/tropej/30.3.154
Broström G. (1987). The influence of mother’s mortality on infant mortality: A case study in matched data survival analysis, Scandinavian Journal of Statistics, 14, 113–123. URL: https://www.jstor.org/stable/4616055
Brunello G., Fort M., Schneeweis N., Winter -Ebmer R. (2016). The causal effect of education on health: what is the role of health behaviors? Health Economics, 25(3), 314–336.
DOI: 10.1002/hec.3141
Burdyak A.Ya., Tyndik A.O. (2016). Measurement of disability and socio-economic status of disabled: the russian and international approaches. Vestnik NSUEM, 1, 22-43. (In Russ.) Retrieved from https://nsuem.elpub.ru/jour/article/view/610
Cleves M.A., Gould W.W., Gutierrez R.G. Marchenko Y.V. (2010). An Introduction to Survival Analysis Using Stata. 3rd ed. College Station, TX: Stata Press.
Cortese G., Scheike T.H, Martinussen T. (2010) Flexible survival regression modelling. Stat Methods Med Res. Feb; 19(1), 5-28. DOI: 10.1177/0962280209105022. Epub 2009 Jul 16. PMID: 19608605.
Cox D.R. (1972). Regression models and life tables (with discussion). Journal of the Royal StatisticalSociety, Series B (Methodological), 34, 187-220. URL: http://links.jstor.org/sici?sici=0035-9246%281972%2934%3A2%3C187%3ARMAL%3E2.0.CO%3B2-6
Cutler D.M., Lleras-Muney A. (2010). The Education Gradient in Old Age Disability. In Wise D.A. (Ed.), Research Findings in the Economics of Aging (pp. 101-120). The University of Chicago Press. URL: http://www.nber.org/chapters/c8194
Demianova A., Lukiyanova A. (2017). How Substantial Is Employment Discrimination Against the Disabled in Russia? HSE Economic Journal, 21 (3), 385–411. (In Russ.). Retrieved from https://ej.hse.ru/2017-21-3/211112324.html
Demianova A., Lukiyanova A. L. (2016). The impact of disability status on the labor supply in Russia. Applied econometrics, (44), 50–74. (In Russ.).
Heiland E.G., Welmer A., Wang R., Santoni G., Fratiglioni L. (2019). Cardiovascular Risk Factors and the Risk of Disability in Older Adults: Variation by Age and Functional Status. Journal of the American Medical Directors Association, 20(2), 208-212.
Helgadóttir B., Narusyte J., Ropponen A., Bergström G., Mather L., Blom V., Svedberg P. (2019). The role of occupational class on the association between sickness absence and disability pension: A Swedish register-based twin study. Scandinavian Journal of Work Environment and Health, 45(6), 622-630. DOI: 10.5271/sjweh.3816
Högberg U., Wall S., Broström G. (1986). The impact of early medical technology on maternal mortality in late 19th century Sweden. International Journal of Gynecology & Obstetrics, 24(4), 251-261. https://doi.org/10.1016/0020-7292(86)90081-0 22
Ivanova A.E., Lopakov K.V., Zemlyanova E.V., Mihajlov A.YU. (2019). Social context of disability and disability in Russia. Social aspects of public health, 1(65). DOI: https://dx.doi.org/10.21045/2071-5021-2019-65-1-1 (In Russ.).
Invalidy v Rossii: prichiny i dinamika invalidnosti, protivorechiya i perspektivy social'noj politiki (1999) / [T. M. Maleva, S. A. Vasin, O. YU. Golodec, S. V. Besfamil'naya]; Byuro ekon. analiza. Moskva: ROSSPEN
Kalabihina I.E., Shajkenova ZH.K. (2019). Time spent on homework: determinants of gender inequality. Public opinion monitoring: economic and social changes, 3, 261-285. (In Russ.).
Kulagina E.V. (2016). Demograficheskie faktory invalidnosti: orientiry dlya gosudarstvennogo regulirovaniya i statistiki [Demographic factors of disability: guidelines for state regulation and statistics]. In V.I. Gerasimov, D.V. Efremenko (Ed.), Rossiya: tendencii i perspektivy razvitiya. Ezhegodnik [Russia: trends and prospects of development. Yearbook] (p 502-506). Moscow: RAN. INION. (In Russ.).
Kuchmaeva O.V. (2020). Employment of disabled people in Russian regions: state, differentiation, factors. Statistics and Economics, 17(5), 27-37. https://doi.org/10.21686/2500-3925-2020-5-27-37 (In Russ.).
Leineweber C., Marklund S., Aronsson G., Gustavsson K. (2019). Work-related psychosocial risk factors and risk of disability pension among employees in health and personal care: A prospective cohort study. International Journal of Nursing Studies, 93, 12-20. https://doi.org/10.1016/j.ijnurstu.2018.10.009
Lynch J.W., Smith G.D., Kaplan G.A., House J.S. (2000). Income inequality and mortality: importance to health of individual income, psychosocial environment, or material conditions. British Medical Journal, 320(7243), 1200–1204. DOI: 10.1136/bmj.320.7243.1200
Mackenbach J., de Jong J.P. (2018). Health Inequalities: an Interdisciplinary Exploration of Socioeconomic Position, Health and Causality. Amsterdam: FEAM/ALLEA Committee on Health Inequalities. Symposium Report. URL: https://www.allea.org/wp-content/uploads/2018/11/Health_Inequalities_Symposium_Report.pdf
Makarenceva A.O., Vasin S.A., Hasanova R.R. (2016) Kak ocenit' chislo invalidov v Rossii // Demoskop Weekly. 695–696. URL: http://demoscope.ru/weekly/2016/0695/tema01.php
Maleva T.M. (Ed.) (2017). Invalidnost' i social'noe polozhenie invalidov v Rossii [Disability and social status of disabled people in Russia]. Moscow: Izdatel'skij dom «Delo» RANHiGS. (In Russ.).
Marmot M.G. (2004). The status syndrome. How social standing affects our health and longevity. New York: Henry Holt & Company
McGregor D., Palarea-Albaladejo J., Dall P., Hron K., Chastin S. (2019). Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns. Statistical Methods in Medical Research, 29(5), 1447-1465. https://doi.org/10.1177/0962280219864125
Meshkov N.A., Buhtiyarov I.V., Val'ceva E.A. (2020). Assessment of professional activity risk factors and health status of fire service employees. Occupational medicine and industrial ecology. 60(10), 658-673. https://doi.org/10.31089/1026-9428-2020-60-10-658-673 (In Russ.).
National research University "Higher school of Economics" (2020). Russian monitoring of economic situation and population health (RLMS-HSE). Combined database 1994-2018. Households; Individuals. Waves 12-27. URL: http://www.cpc.unc.edu/projects/rlms;
URL: http://www.hse.ru/rlms (data downloaded on 01.02.2020). (In Russ.).
Natsun L.N., Shabunova A.A. (2018). On the issue of economic cost of disability. Economic and Social Changes: Facts, Trends, Forecast, 11(2), 160-174. (In Russ.)
DOI: 10.15838/esc.2018.2.56.11
Ramonov A. (2015). Integral indicators of demographic losses from deaths and injuries due to road accidents in Russia. Demographic Review, 2(4), 136-149. (In Russ.) https://doi.org/10.17323/demreview.v2i4.1771
Ramonov A., Pyankova A. (2014). Evaluating public health on the basis of census information. Demographic Review, 1(2), 140-155. (In Russ.) https://doi.org/10.17323/demreview.v1i2.1820
Ropponen A, Svedberg P. (2019). Risk factors of disability pensions – what will twin studies from Finland and Sweden add? European Journal of Public Health, V.29, Iss. Supplement 4, https://doi.org/10.1093/eurpub/ckz185.697
Rosstat (2018). Data from a Comprehensive survey of the population's living conditions. 2018. URL: https://rosstat.gov.ru/free_doc/new_site/KOUZ18/index.html
Rosstat (2016). Data from a Comprehensive survey of the population's living conditions. 2016. URL: https://rosstat.gov.ru/free_doc/new_site/KOUZ16/index.html
Rosstat (2020). The situation of disabled people. URL:https://rosstat.gov.ru/folder/13964
Rusinova N. (2019). Social inequalities in health: the mediating role of material deprivation and psychological resources. Demographic Review, 6(3), 6-30. (In Russ.) https://doi.org/10.17323/demreview.v6i3.9853
United Nations (2001). Guidelines and Principles for the Development of Disability Statistics. URL: https://unstats.un.org/unsd/publication/SeriesY/SeriesY_10r.pdf
Vasin S.A. (2017). Prospects of Changes in the Total Size and Age Composition of Adults with Disability in Russia // Studies on Russian Economic Development, 28(5), 558-567.
Vladimirova O.N., Bashkireva A.S., Korobov M.V., Lomonosova O.V., Khorkova O.V. (2017). Current trends of total disability on the background of the demographic development of Russia. Clinical gerontology, 5-6, 44-50. (In Russ.). Retrieved from https://kg.newdiamed.ru/issue/id38483/id38530
Vyal'shina A.A. (2020). Influence of the level of education on the health of the rural population. Social aspects of public health, 1(66). (In Russ.). DOI: 10.21045/2071-5021-2020-66-1-6
World Health Organisation (2011). World report on disability [Vsemirnyj doklad po invalidnosti]. Retrieved from http://www.who.int/disabilities/world_ report/2011/summary_ru.pdf
World Health Organization (2020). Ten facts on disability.