Years of Life Lost Due to Premature Death and Their Relationship with Climate and Socio-Economic Performance of Regions

Cover Page

Cite item


Background: The «years of potential life lost» (YPLL) indicator is widely used in international studies. Still YPLL's variety in the Russian regions is poorly investigated.

Objective: Our aim was to study the performance of YPLL in the regions of Russia in 2013 and their relationship with the regional socio-economic indicators.

Methods: Non-clinical observational study was conducted. The object of study — YPLL in the Russian regions. YPLL per 100 thousand population (non-standardized and standardized to the world standard population age structure) is based on data of Rosstat. Subject of investigation — YPLL variability in the regions, the evaluation of the correlation between YPLL, climatic effect and socio-economic indicators of the regions.

Results: The average standardized YPLL in the region was 20 185 (95% CI 19 272–21 029); non-standardized — 25 880 (95% CI 24 744–26 957). Maximum standardized YPLL above the minimum in 3.4 times. Minimum YPLL rates were recorded in the North Caucasus, Moscow and St. Petersburg; maximum — in Chukotka, Republic of Tuva and the Jewish Autonomous Region. Negative statistically significant correlation to the average power detected between YPLL and: 1) specific weight of the total space, equipped with water supply, hot water supply and sanitation; 2) share of population with tertiary education in total population; 3) road density (km of roads per 1000 sq km); 4) climatic conditions.

Conclusion: The regional YPLL indicators vary considerably and are higher than the similar indicators in developed countries. According to the findings PYLL indicator are influenced by economic factor,indicators of household living conditions of the population, the infrastructure system in the region, the level of education of the population and climatic effect. The resuts we got require further multidisciplinary study of the problem.

About the authors

S. A. Boytsov

State Research Center for Preventive Medicine

Author for correspondence.
Moscow Russian Federation

I. V. Samorodskaya

State Research Center for Preventive Medicine

Moscow Russian Federation

V. V. Tret’jakov

RIA Rating

Moscow Russian Federation

M. A. Vatolina

State Research Center for Preventive Medicine

Moscow Russian Federation


  1. Murray C.J.L., Lopez A.D. Measuring the Global Burden of Disease. New Engl. J. Med. 2013; 369: 448–457.
  2. Krasil'nikov I.A., Ivanova A.E., Semenova V.G., Sabgaida T.P., Evdokushkina G.N. Metodicheskie rekomendatsii po ispol'zovaniyu pokazatelya «poteryannye gody potentsial'noi zhizni» (PGPZh) dlya obosnovaniya prioritetnykh problem zdorov'ya naseleniya Rossii na federal'nom, regional'nom i munitsipal'nom urovnyakh [Guidelines on the Use of the Indicator of "Potential Years of Life Lost" (PYLL) to Support Priority Health Problems of the Russian Population at the Federal, Regional and Municipal Levels]. Moscow, TsNIIOIZ MZ RF, 2014. 32 p.
  3. Kobyakova O.S., Deev I.A, Boikov 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 RAMN = Annals of the Russian academy of medical sciences. 2013;11:60–64.
  4. Ivanova A.E., Semenova V.G., Sabgaida T.P., Evdokushkina G.N. Rekomendatsii po ispol'zovaniyu metodiki poteryannykh let potentsial'noi zhizni dlya kharakteristiki prioritetnykh problem zdorov'ya naseleniya i uvelicheniya prodolzhitel'nosti zhizni, orientirovannykh na razlichnye kategorii naseleniya Sankt-Peterburga [Recommendations on the Application of a Technique "Potential Years of Life Lost" (PYLL) for Characterizing Priority Health Problems of the Population and Increasing Life Expectancy Targeted at Different Categories of the Population of St. Petersburg]. Moscow, 2012. 13 p.
  5. Wang H., Dwyer-Lindgren L., Lofgren K.T., Rajaratnam J.K., Marcus J.R., Levin-Rector A., Levitz C., Lopez A.D., Murray C.J.L. Age specific and sex specific mortality in 187 countries, 1970–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380: 2071–2094.
  6. Charles Atkinson B.S., Lozano R., Naghavi M., Vos T., Whiteford H., Christopher J.L. Murray Ph. The burden of mental disorders in the USA: new tools for comparative analysis of health outcomes between countries. Lancet. 2013; 381: 10.
  7. Boitsov S.A., Samorodskaya I.V. Mortality and years of life lost due to premature mortality from cardiovascular diseases. Kardiovaskulyarnaya terapiya i profilaktika = Cardiovascular therapy and prevention. 2014;13(2):4–11.
  8. Vatolina M.A., Samorodskaya I.V., Boitsov S.A. Fighters Mortality and years of life lost as a result of Alzheimer's disease in Russia. Psikhiatriya = Psychiatry. 2014;1(61):47–51.
  9. Marshall R.J. Standard expected years of life lost as a measure of mortality: norms and reference to New Zealand data. Aust. NZJ Public Health. 2004; 28 (5): 452–457.
  10. Institute for Health Metrics and Evaluation, Human Development Network World Bank. Global Burden of Disease: the generation of evidence for policy direction. Seattle, WA: IHME. 2013. 70 р.
  11. Boitsov S.A., Samorodskaya I.V Tret'yakov V.V. Gradient of mortality of persons aged 40–59 in regions of the Russian Federation. Vestnik RAMN = Annals of the Russian academy of medical sciences. 2014; 7–8: 106–112.
  12. Obzor sotsial'nykh determinant i razryva po pokazatelyam zdorov'ya v Evropeiskom regione VOZ. 2014 (Review of Social Determinants and the gap in health in the WHO European Region. 2014). Available at: (accessed: 01.02.2015).
  13. Kosolapov A.B. Influence of socioeconomic factors on mortality of the male population in the Far East Russia. Sovremennye nauchnye issledovaniya i innovatsii = Modern scientific researches and innovations. 2012;12. Available at: (accessed: 01.02.2015).
  14. Available at: (accessed: 01.04.2015.)
  15. Available at: (accessed: 01.04.2015.)
  16. Rosenthal T. Geographic variation in health care. Ann. Rev. Med. 2012; 63: 493–509.
  17. Welch H.G., Sharp S.M., Gottlieb D.J., Skinner J.S., Wennberg J.E. Geographic variation in diagnosis frequency and risk of death among Medicare beneficiaries. JAMA. 2011; 305 (11): 1113.
  18. Final Report of the Commission on Social Determinants of Health. World Health Organization, 2008. Available at: (accessed: 01.02.2015).
  19. Mackenbach J.P., Karanikolos M., McKee M.The unequal health of Europeans: successes and failures of policies. Lancet. 2013; 381 (9872): 1125–1134.

Copyright (c) 2015 "Paediatrician" Publishers LLC

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies