Obesity trends in Russia. The impact on health and healthcare costs

Abstract

Similar to most developed countries, obesity rates inRussiahave been steadily increasing. This has led to a high burden of obesity related diseases and associated healthcare costs. The micro-simulation model has been utilized to project body mass index (BMI) and BMI related disease burden and healthcare costs. Incidence, mortality, survival and healthcare costs were collected for thirteen diseases. The results have been simulated for 3 hypothetical scenarios to project a potential impact of policy interventions: 1) assuming no reduction in BMI; 2) 1% reduction in mean BMI across the population; 3) 5% reduction in mean BMI across the population. Nearly 58% of the female population was obese (BMI ≥30 kg/m2) or overweight (BMI 25 -29.9 kg/m2) in 2010, and the prevalence is projected to decrease to 54% in 2050. The rates are predicted to increase for men from 51% in 2010 to 76% in 2050. The prevalence rates will triple for some obesity-related diseases. A one percent decrease in BMI across the population will save more than two billion US Dollars in 2030 and 2050. Despite female obesity prevalence starting at a higher point than the men, obesity is predicted to increase in males but not females. Disease and economic burden attributed to these obesity rates are still severe and the country should implement strong policies to tackle the obesity epidemic.

Share and Cite:

Rtveladze, K. , Marsh, T. , Webber, L. , Kilpi, F. , Goryakin, Y. , Kontsevaya, A. , Starodubova, A. , McPherson, K. and Brown, M. (2012) Obesity trends in Russia. The impact on health and healthcare costs. Health, 4, 1471-1484. doi: 10.4236/health.2012.412A212.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] The World Bank (2005) Dying too young; addressing premature mortality and ill health due to non-communicable diseases and injuries in the Russian Federation. Europe and Central Asia Human Development Department, 1-31.
[2] The World Health Orgamization (2010) World Health Statistics, 1-177. http://www.who.int/whosis/whostat/EN_WHS10_Full.pdf
[3] Shkolnikov, V., Mckee, M. and Leon, D.A. (2001) Changes in life expectancy in Russia in the mid-1990s. The Lancet, 357, 917-921. doi:10.1016/S0140-6736(00)04212-4
[4] Huffman, S.K. and Rizov, M. (2009) The rise of obesity in transation: Theory and empirical evidence from Russia. International Association of Agricultural Economists Econference, Beijing, China.
[5] Wild, S., Roglic, G., Green, A., Sicree, R. and King, H. (2004) Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care, 27, 1047-1053. doi:10.2337/diacare.27.5.1047
[6] The World Health Organization (2008) Deaths estimates for 2008 by cause for WHO Member States. http://www.who.int/healthinfo/global_burden_disease/estimates_country/en/index.html
[7] Leon, D.A., Saburova, L., Tomkins, S., Andreev, E., Kiryanov, N., McKee, M. and Shkolnokov, V. (2007) Hazzardoes alcohol drinking and premature mortality in Russia: A population based case-control study. The Lancet, 369, 2001-2009. doi:10.1016/S0140-6736(07)60941-6
[8] Leon, D.A., Chenet, L., Shkolnikov, V.M., et al. (1997) Huge variation in Russian mortality rates 1984-94: Artefact, alcohol, or what? The Lancet, 350, 383-388. doi:10.1016/S0140-6736(97)03360-6
[9] Saburova, L., Keenan, K., Bobrova, N., Leon, D.A. and Elbourne, D. (2011) Alcohol and fatal life trajectories in Russia: Understanding narrative accounts of premature male death in the family. BMC Public Health, 11, 1-10. doi:10.1186/1471-2458-11-481
[10] Zaridze, D., Brennan, P., Boreham, J., et al. (2009) Alcohol and cause-specific mortality in Russia: A retrospective case-control study of 48557 adult deaths. The Lancet, 373, 2201-22. doi:10.1016/S0140-6736(09)61034-5
[11] Zaridze, D., Maxi-movitch, D., Lazarev, A., et al. (2009) Alcohol poisoning is a main determinant of recent mortality trends in Russia: Evidence from a detailed anaylysis of mortality statistics and autopsies. International Journal of Epidemiology, 38, 143-153. doi:10.1093/ije/dyn160
[12] Ginter, E. (1995) Cardiovascular risk factors in the former communist countries. European Journal of Epidemiology, 11, 199-205. doi:10.1007/BF01719488
[13] Huffman, S.K. and Rizov, M. (2007) Determinants of obesity in transition economies: The case of Russia. Economics and Human Biology, 5, 379-391. doi:10.1016/j.ehb.2007.07.001
[14] Liefert, W. (2004) Food security in Russia: Economic Growth and Rising Incomes are Reducing Insecurity. Food Security. Assessment, USDA, Washington.
[15] Jahns, L., Baturin, A. and Popkin, B. (2003) Obesity, diet, and poverty: Trends in the Russian transition to market economy. European Journal of Clinical Nutrition, 57, 1295-1302. doi:10.1038/sj.ejcn.1601691
[16] The govern-mental order of the Russian Federation (2011) About structure of the territories forming each hour zone, and the order of cal-culation of time in hour zones. http://www.garant.ru/hotlaw/federal/346568/
[17] Brainerd, E. and Cutler, D. (2005) Autopsy on an Empire: Understanding Mortality in Russia and the Former Soviet Union. Journal of Economic Perspectives, 19, 107-130. doi:10.1257/0895330053147921
[18] Kisseleva, N.G. (1998) Inception report: Preventive health care. Nutrition, Annex 7.3/2.
[19] Shkolnikov, V.M., Andreev, E.M., Leon, D.A., McKee, M., Meslé, F. and Vallin, J. (2004) Mortality reversal in Russia: The story so far. Hygiea Internationalis, 4, 29-80. doi:10.3384/hygiea.1403-8668.044129
[20] The World Health Organization (2011) European health for all database. http://data.euro.who.int/hfadb/
[21] Коntsevaya, A.V., Kalinina, A.M. and Oganov, R.G. (2011) Economic burden of car-diovascular diseases in the Russian Federation. Cardiovascular Therapy and Prevention, 4, 4-9.
[22] Sidorenkov, O., Nilssen, O. and Grjibovski, A.M. (2010) Metabolic syndrome in Russian adults: Associated factors and mortality from cardiovascular diseases and all causes. BMC Public Health, 10, 3-10. doi:10.1186/1471-2458-10-582
[23] Russia Longitudinal Monitoring Survey, RLMS-HSE (2011) Conducted by HSE and ZAO “Demoscope” together with Carolina Population Center, University of North Carolina and Chapel Hill and the Institute of Sociology RAS. http://www.hse.ru/org/hse/rlms
[24] Kopelman, P., Jebb, S.A. and Butland, B. (2007) Executive summary: Foresight ‘Tackling Obesities: Future Choices’ project. Obesity Reviews Suppl, 8, 6-9.
[25] Butland, B., Jebb, S., Kopelman, P., et al. (2007) Foresight. Tackling obesities: Future choices—Project report. Government Office for Science, London, 1-161.
[26] McPherson, K., Marsh, T. and Brown, M.F. (2007) Tackling obesities: Future choices—Modelling future trends in obesity & their impact on health. Government Office for Science, London, 1-71
[27] Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2011) World Population Prospects: The 2010 Revision. http://esa.un.org/unpd/wpp/index.htm
[28] Lobstein, T. and Leach, R.J. (2010) Workpackage 7: Report on data collection for Overweigth and Obesity. Data documentation for the Dynamic Modelling for Health Impact Assessment (DYNAMO-HIA) Project. http://www.dynamo-hia.eu/
[29] Feigin, V.L., Wiebers, D.O., Nikitin, Yu.P., O’Fallon, W.M. and Whisnant, J.P. (1995) Stroke epidemiology in Novosibirsk, Russia: A population-based study. Mayo Clinic Proceedings, 70, 847-852.
[30] Central Research Institute of Organization and Healthcare Information (2011) www.mednet.ru
[31] Arthritis Research UK (2010) Arthritis. The Big Picture, 1-22. http://www.ipsos-mori.com/Assets/Docs/Archive/Polls/arthritis.pdf
[32] Wang, C.Y., McPherson, K., Marsh, T., Gortmaker, S.L. and Brown, M. (2001) Health and economic burden of the projected obesity trends in the US and the UK. The Lancet, 378, 815-824. doi:10.1016/S0140-6736(11)60814-3
[33] Fishman, G.S. (1996) Monte Carlo: Concepts, algorithms, and applications. Sprinter Series in Operations Research.
[34] Macdiarmid, J. and Blundell, J. (1998) Assessing dietary intake: Who, what and why of under-reporting. Nutrition Research Reviews, 11, 231-253. doi:10.1079/NRR19980017
[35] Briefel, R.R., Sempos, C.T., McDowell, M.A., Chien, S. and Alaimo, K. (1997) Dietary methods research in the 3rd National Health and Nutrition Examination Survey: Under-reporting of energy intake. Ameri-can Journal of Clinical Nutrition, 65, 1203S-1209S.
[36] Heywood, P., Harvey, P.W.J. and Marks, G.C. (1983) An evaluation of energy intakes in the 1983 Aus-tralian National Dietary Survey of Adults. European Journal of Clinical Nutrition, 47, 604-606.
[37] Ballard-Barbash, R., Graubard, B.I., Krebs-Smith, S.M., Schatzkin, A. and Thomp-son, F.E. (1996) Contribution of dieting to the inverse associa-tion between energy intake and body mass index. European Journal of Clinical Nutrition, 50, 98-106.
[38] Kleges, R.C., Eck, L.H. and Ray, J.W. (1995) Who underreports dietary intake in a dietary recall? Evidence from the second National Health and Nutrition Survey. Journal of Consulting and Clinical Psychology, 63, 438- 444. doi:10.1037/0022-006X.63.3.438
[39] Wang, Y., Monteiro, C. and Popkin, B.M. (2002) Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China and Russia. American Journal of Clinical Nutrition, 75, 971-977.
[40] The BBC News (2010). http://news.bbc.co.uk/2/hi/europe/8468185.stm
[41] Cecchini, M., Sassi, F., Lauer, J.A., Lee, Y.Y., Guajardo-Barron, V. and Chisholm, D. (2010) Tackling of unhealthy diets, physical activity, and obesity: Health effects and cost-effectiveness. The Lancet, 376, 28-37. doi:10.1016/S0140-6736(10)61514-0

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.