Social and economic determinants and potential for growth in life expectancy of the population in the Russian Federation taking into account regional differentiation

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N.V. Zaitseva1,2, G.G. Onishchenko3,5, A.Yu. Popova1,4, S.V. Kleyn2, D.A. Kiryanov2, M.V. Glukhikh2


1Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, 18, bld. 5 and 7 Vadkovskiy pereulok, Moscow, 127994, Russian Federation
2Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya Str., Perm, 614045, Russian Federation
3Russian Academy of Science, 32 Leninskii avenue, Moscow, 119334, Russian Federation
4Russian Medical Academy for Postgraduate Studies, 2/1 Barrikadnaya Str., Moscow, 123995, Russian Federation
5I.M. Sechenov First Moscow State Medical University, 8, bld. 2 Trubetskaya Str., Moscow, 119435, Russian Federation


The article contains results of the research on a correlation between social and economic determinants and life expectancy of the RF population. The research is quite relevant at present as it is consistent with the goals set within the demographic policy in the RF, including searching for efficient tools aimed at solving tasks set in it and achieving its targets. Our research goal was to examine social and economic determinants and potential for a growth in life expectancy of the RF population taking into account regional differentiation.

We analyzed world experience in examining effects produced by social and economic factors on life expectancy. Correlation-regression analysis allowed us to detect that economic parameters, lifestyle-related ones, and parameters reflecting education and home comforts were the most significant modifiers (R2=0.06–0.43). We showed that aggregated changes in these parameters equal to 10.0 % could result in 460.5 days increase in life expectancy (1.3 years longer). The greatest contribution was made by population employment/unemployment taking into account their education (115.29 days); home comforts available in housing (86.9 days); economic parameters (74.09 days); psychosocial stress (54.58 days); alcohol drinks sales (49.57 days); basic food products consumption (46.23 days). These data are fully consistent with the already known results obtained by domestic and foreign researchers in the field and efficiently complement them. Our research results indicate that the current social policy that is being implemented in the RF is quite relevant as it is aimed at reducing social and economic inequality and eliminating a social gradient as regards health of various population groups. We are also sure it is necessary to perform further research in the sphere.

life expectancy, social and economic factors, social gradient, demographic policy, population, life quality, morbidity, mortality, factor analysis, cluster analysis
Zaitseva N.V., Onishchenko G.G., Popova A.Yu., Kleyn S.V., Kiryanov D.A., Glukhikh M.V. Social and economic determinants and potential for growth in life expectancy of the population in the russian federation taking into account regional differentiation. Health Risk Analysis, 2019, no. 4, pp. 14–29. DOI: 10.21668/health.risk/2019.4.02.eng
  1. Reiting stran mira po urovnyu prodolzhitel'nosti zhizni [World countries rated as per life expectancy index]. Gumanitarnyi portal. Available at: (01.12.2019) (in Russian).
  2. World population prospects 2019. Department of Economic and Social Affairs. Available at: (01.12.2019).
  3. Poslanie Prezidenta Federal'nomu Sobraniyu [The RF President Message to the Federal Assembly]. Prezident Rossii. Available at: (01.12.2019) (in Russian).
  4. Tokudume S., Hashimoto S., Igata A. Life Expectancy and Healthy Life Expectancy of Japan: The Fastest Graying Society in the World. BMC Research Notes, 2016, vol. 9, no. 1, pp. 482–488. DOI: 10.1186/s13104-016-2281-2
  5. Kontis V., Bennett J.E., Mathers C.D., Li G., Foreman K., Ezzati M. Future Life Expectancy in 35 Industrialised Countries: Projections With a Bayesian Model Ensemble. Lancet, 2017, vol. 1, no. 389 (10076), pp. 1323–1335. DOI: 10.1016/S0140-6736(16)32381-9
  6. Omran A.R. The epidemiologic transition: A Theory of the Epidemiology of Population Change. The Milbank Memorial Fund Quarterly, 1971, vol. 49, no. 4, pp. 509–538. DOI: 10.1111/j.1468-0009.2005.00398.x
  7. Famine and health. World Health Organization. Available at: (01.12.2019).
  8. Kreatsoulas C., Ahand S.S. The impact of social determinants on cardiovascular disease. The Canadian Journal of Cardiology, 2010, vol. 26, pp. 8–13. DOI: 10.1016/s0828-282x(10)71075-8
  9. Stevens J.W., Khunti K., Harvey R., Johnson M., Preston L., Woods H.B., Davies M., Goyder E. Preventing the Progression to Type 2 Diabetes Mellitus in Adults at High Risk: A Systematic Review and Network Meta-Analysis of Lifestyle, Pharmacological and Surgical Interventions. Diabetes Research and Clinical Practice, 2015, vol. 107, no. 3, pp. 320–331. DOI: 10.1016/j.diabres.2015.01.027
  10. Briggs R., Kennelly S.P., O'Neill D. Drug treatments in Alzheimer’s disease. Clinical Medicine Journal, 2016, vol. 16, no. 3, pp. 247–253. DOI: 10.7861/clinmedicine.16-3-247
  11. Lebedeva-Nesevrya N.A., Barg A.O., Tsinker M.Yu., Kostarev V.G. Assessment of correlation between heterogene-ous 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.eng
  12. Shetty P. Grey matter: ageing in developing countries. Lancet, 2012, vol. 7, no. 379, pp. 1285–1287. DOI: 10.1016/s0140-6736(12)60541-8
  13. Global Health and Aging Report. World Health Organization, 2011, pp. 32.
  14. Regiony Rossii. Sotsial'no-ekonomicheskie pokazateli. 2018: R32 Statisticheskii sbornik [The RF regions. Social and economic parameters. 2018: R32 Statistical data collection]. Moscow, Rosstat Publ., 2018, 1162 p. (in Russian).
  15. Soveshchanie po voprosam modernizatsii pervichnogo zvena zdravookhraneniya [The meeting on issues related to mod-ernizing the primary medical aid provided for the population]. Prezident Rossii. Available at: (01.12.2019) (in Russian).
  16. Bradley E.H., Sipsma H., Taylor L.A. American health care paradox – high spending on health care and poor health. QJM: An International Journal of Medicine, 2017, vol. 110, no. 2, pp. 61–65. DOI: 10.1093/qjmed/hcw187
  17. Woolf S.H., Schoomaker H. Life expectancy and mortality rates in the United States, 2015–2017. JAMA, 2019, vol. 322, no. 20, pp. 1963–2015. DOI: 10.1001/jama.2019.16932
  18. Dwyer-Lindgren L., Bertozzi-Villa A. Inequalities in Life Expectancy among Us Counties, 1980 to 2014. JAMA, 2017, vol. 177, no. 7, pp. 1003–1011. DOI: 10.1001/jamainternmed.2017.0918
  19. Bradley E.H., Elkins B.R., Herrin J., Elbel B. Health and social services expenditures: associations with health out-comes. BMJ Quality and Safety, 2011, vol. 20, no. 10, pp. 826–831. DOI: 10.1136/bmjqs.2010.048363
  20. Bradley E.H., Canavan M., Rogan E., Talbert-Slagle K., Ndumele C., Taylor L., Curry L.A. Variation In Health Out-comes: The Role Of Spending On Social Services, Public Health, And Health Care, 2000–09. Health Affairs (Project Hope), 2016, vol. 35, no. 5, pp. 760–768. DOI: 10.1377/hlthaff.2015.0814
  21. Yusuf S., Hawken S., Ôunpuu S., Dans T., Avezum A., Lanas F., McQueen M., Budaj A. [et al.]. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet, 2004, vol. 364, pp. 937–952. DOI: 10.1016/S0140-6736(04)17018-9
  22. Wilkinson R., Marmot M. Social determinants of health: the solid facts 2nd edition. WHO Library Cataloguing in Publication Data, 2004, 33 p.
  23. Stringhini S., Carmeli C., Jokela M., Avendaño M., Muennig P., Guida F., Ricceri F., d'Errico A. [et al.]. Socioeco-nomic status and the 25*25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1,7 million men and women. Lancet, 2017, vol. 25, no. 389, pp. 1229–1237. DOI: 10.1016/S0140-6736(16)32380-7
  24. Mackenbach J.P., Valverde J.R., Bopp M., Brønnum-Hansen H., Deboosere P., Kalediene R., Kovács K., Leinsalu M. [et al.]. Determinants of inequalities in life expectancy: an international comparative study of eight risk factors. Lancet Public Health, 2019, vol. 4, no. 10, pp. 529–537. DOI: 10.1016/S2468-2667(19)30147-1
  25. Rogers R.G., Hummer R.A., Everett B.G. Educational differentials in US adult mortality: An examination of mediating factors. Social science research, 2013, vol. 42, no. 2, pp. 465–481. DOI: 10.1016/j.ssresearch.2012.09.003
  26. P'yankova A.I., Fattakhov T.A. Smertnost' po urovnyu obrazovaniya v Rossii [Mortality as per education in Russia]. Ekonomicheskii zhurnal VShE, 2017, vol. 21, no. 4, pp. 623–647 (in Russian).
  27. Shul'gin S.G., Zin'kina Yu.V., Shcherbov S.Ya. Life expectancy of elderly in Russia depending on educational status. Demograficheskoe obozrenie, 2018, vol. 5, no. 1, pp. 25–38 (in Russian).
  28. Bijwaard G.E., Van Poppel F., Ekamper P., Lumey L.H. Gains in Life Expectancy Associated with Higher Education in Men. PloS one, 2015, vol. 10, no. 10, pp. 1–18. DOI: 10.1371/journal.pone.0141200
  29. Mäki N., Martikainen P., Eikemo T., Menvielle G., Lundberg O., Ostergren O., Jasilionis D., Mackenbach J.P. Edu-cational differences in disability-free life expectancy: a comparative study of long-standing activity limitation in eight European countries. Social Science and Medicine, 2013, vol. 94, pp. 1–8. DOI: 10.1016/j.socscimed.2013.06.009
  30. Chetty R., Stepner M., Abraham S., Lin S., Scuderi B., Turner N., Bergeron A., Cutler D. The Association between Income and Life Expectancy in the United States, 2001–2014. JAMA, 2017, vol. 315, no. 16, pp. 1750–1766. DOI: 10.1001/jama.2016.4226
  31. Mackenbach J.P., Bopp M., Deboosere P., Kovacs K., Leinsalu M., Martikainen P., Menvielle G., Regidor E., De Gelder R. Determinants of the magnitude of socioeconomic inequalities in mortality: A study of 17 European countries. Health and Place, 2017, vol. 47, pp. 44–53. DOI: 10.1016/j.healthplace.2017.07.005
  32. Kamphuis C.B., Turrell G., Giskes K., Mackenbach J.P., Van Lenthe F.J. Socioeconomic inequalities in cardiovascular mortality and the role of childhood socioeconomic conditions and adulthood risk factors: a prospective cohort study with 17-years of follow up. BMC Public Health, 2012, vol. 12, pp. 1045. DOI: 10.1186/1471-2458-12-1045
  33. Södergren М. Lifestyle predictors of healthy ageing in men. Maturitas, 2013, vol. 75, pp. 113–117. DOI: 10.1016/j.maturitas.2013.02.011
  34. Yurii Pavlovich Lisitsyn (k 80-letiyu so dnyarozhdeniya) [Yury Pavlovich Lisitsyn (to celebrate his 80th anniversary)]. Ekologiya cheloveka, 2008, no. 3, pp. 48–49 (in Russian).
  35. Baars A.E., Rubio-Valverde J.R., Hu Y., Bopp M., Brønnum-Hansen H., Kalediene R., Leinsalu M., Martikainen P. [et al.]. Fruit and vegetable consumption and its contribution to inequalities in life expectancy and disability-free life expectancy in ten European countries. International Journal of Public Health, 2019, vol. 64, pp. 861–872. DOI: 10.1007/s00038-019-01253-w
  36. Mackenbach J.P., Valverde J.R., Bopp M., Brønnum-Hansen H., Deboosere P., Kalediene R., Kovács K., Leinsalu M. [et al.]. Determinants of inequalities in life expectancy: an international comparative study of eight risk factors. Lancet Public Health, 2019, vol. 4, no. 10, pp. 527–537. DOI: 10.1016/S2468-2667(19)30147-1
  37. Kuznetsova P.O. Smoking as a factor of reduced life expectancy in Russia. Demograficheskoe obozrenie, 2019, vol. 6, no. 3, pp. 31–57 (in Russian).
  38. Kossova T.V., Kossova E.V., Sheluntsova M.A. Vliyanie potrebleniya alkogolya na smertnost' i ozhidaemuyu prodolzhitel'nost' zhizni v regionakh Rossii [Influence exerted by alcohol intake on mortality and life expectancy in Russian re-gions]. Ekonomicheskaya politika, 2017, vol. 12, no. 1, pp. 58–83 (in Russian).
  39. Aburto J.M., Beltrán-Sánchez H. Upsurge of Homicides and Its Impact on Life Expectancy and Life Span Inequality in Mexico, 2005–2015. American Journal Public Health, 2019, vol. 109, no. 3, pp. 483–489. DOI: 10.2105/AJPH.2018.304878
  40. Health risk analysis in the strategy of state social and economic development: monograph. In: G.G. Onishchenko, N.V. Zaitseva eds. Мoscow, Perm, Publishing house of the Perm National Research Polytechnic University Publ., 2014, 686 p.
  41. Zheng X.Y., Han Y.L., Guo C., Zhang L., Qiu Y., Chen G. Progress in research of nutrition and life expectancy. Bi-omedical and environmental sciences: BES, 2014, vol. 27, no. 3, pp. 155–161. DOI: 10.3967/bes2014.036
  42. Gulis G. Life expectancy as an indicator of environmental health. European Journal of Epidemiology, 2000, vol. 16, no. 2, pp. 161–165. DOI: 10.1023/a:1007629306606

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