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Epidemiological Transition in Urban Population of Maharashtra

DOI: 10.1155/2014/328102

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Abstract:

Our objective is to assess epidemiological transition in urban Maharashtra in India in past two decades. We used the medically certified causes of death (MCCD) data from urban areas of Maharashtra, 1990–2006. Cause-specific death rate was estimated, standardized for age groups, and projected by using an exponential linear regression model. The results indicate that the burden of mortality due to noncommunicable conditions increased by 25% between 1990 and 2006 and will add 20% more by 2020. Among specific causes, the “diseases of the circulatory system” were consistently the leading CoD between 1990 and 2006. The “infectious and parasitic disease” and “diseases related to respiratory system” were the second and third leading causes of death, respectively. For children and young population, the leading cause of death was the “certain conditions originating in the prenatal period” and “injury and poisoning,” respectively, among both sexes. Among adults, the leading cause of death was “infectious and parasitic diseases.” In case of the adult female and elderly population, “diseases of circulatory system” caused the most deaths. Overall the findings foster that socioeconomically developed and demographically advanced urban Maharashtra bears the double burden of disease-specific mortality. 1. Introduction Omran [1] laid the foundation for the “epidemiological transition theory,” which builds upon the demographic transition and the changing patterns in disease prevalence [2]. Epidemiological transition is marked by a shift in the cause of death profile to reflect the predominance of noncommunicable diseases as the mean age of the population advances [1, 3]. This shift from communicable (predominance of infectious and parasitic) to noncommunicable (chronic and degenerative) diseases is classified into four stages: first stage being the stage of pestilence and famine, followed by the stage of receding pandemics; third is the stage of degenerative and man-made disease, and finally, the stage of delayed degenerative diseases [1, 3–5]. Epidemiological transition is expected to progress faster in urban and industrialized areas than in rural areas. Urbanization is associated with improved sanitation, nutrition, and health systems which reduce the burden of infectious diseases and related mortality, particularly among vulnerable populations [6, 7]. During the last decade as a consequence of rapid demographic transition and growing proportion of the adult and older population, the epidemiological profile of low and middle income countries reflects the diseases of

References

[1]  A. R. Omran, “The epidemiologic transition. A theory of the epidemiology of population change,” The Milbank Memorial Fund Quarterly, vol. 49, no. 4, pp. 509–538, 1971.
[2]  M. M. T. E. Huynen, L. Vollebregt, P. Martens, and B. M. Benavides, “The epidemiologic transition in Peru,” The American Journal of Public Health, vol. 17, no. 1, pp. 51–59, 2005.
[3]  S. J. Olshansky and A. B. Ault, “The fourth stage of the epidemiologic transition: the age of delayed degenerative diseases,” The Milbank Quarterly, vol. 64, no. 3, pp. 355–391, 1986.
[4]  R. Lozano, M. Naghavi, K. Foreman, et al., “Global and regional mortality from 235 causes of death fro 20 age groups in 1990 and 2010: a systematic analyses for the Global Burden of Disease study,” The Lancet, vol. 380, pp. 2095–2128, 2012.
[5]  Z. A. Karar, N. Alam, and P. Streatfield, “Epidemiological transition in rural Bangladesh, 1986–2006,” Global Health Action, vol. 2, 2009.
[6]  A. R. Omran, “The epidemiologic transition theory revisited thirty years later,” World Health Statistics Quarterly, vol. 51, no. 2–4, pp. 99–119, 1998.
[7]  United Nations, Health and Mortality: A Concise Report, Department of Economic and Social Affairs, Population Division, United Nations, New York, NY, USA, 1998.
[8]  M. Gulliford, “Commentary: epidemiological transition and socioeconomic inequalities in blood pressure in Jamaica,” International Journal of Epidemiology, vol. 32, no. 3, pp. 408–409, 2003.
[9]  World Health Organisation, The global Burden of Disease, World Health Organisation, Geneva, Switzerland, 2006.
[10]  K. S. Reddy and S. Yusuf, “Emerging epidemic of cardiovascular disease in developing countries,” Circulation, vol. 97, no. 6, pp. 596–601, 1998.
[11]  World Health Organisation, Shaping the Future: Chapter 7: Health Systems: Principled Integrated Care, World Health Organisation, Geneva, Switzerland, 2003.
[12]  World Health Organization, “Rheumatic fever and rheumatic heart disease,” World Health Organization Technical Report Series, World Health Organization, Geneva, Switzerland, 2004.
[13]  World Health Organisation, World Health Organization Statistical Information System, World Health Organization, Geneva, Switzerland, 2010.
[14]  World Health Oragnistaion, Primary Health Care Now More Than Ever, World Health Organization, Geneva, Switzerland, 2008.
[15]  R. Barrett, C. W. Kuzawa, T. McDade, and G. J. Armelagos, “Emerging and re-emerging infectious diseases: the third epidemiologic transition,” Annual Review of Anthropology, vol. 27, pp. 247–271, 1998.
[16]  K. S. Reddy, “Prevention and control of non-communicable diseases: status and strategies,” Working Paper 104, Indian Council for Research on International Economic Relations, 2003.
[17]  S. Goli and P. Arokiasamy, “Trends in health and health inequalities among major states of India: assessing progress through convergence models,” Health Economics, Policy and Law, vol. 9, no. 2, pp. 143–168, 2014.
[18]  L. Visaria, “Mortality trends and the health transition,” in Twenty-First Century India—Population, Economy, Human Development, and the Environment, T. Dyson, R. Cassen, and L. Visaria, Eds., pp. 32–56, Oxford University Press, New Delhi, India, 2004.
[19]  RGI, SRS Bulletin, Sample Registration System, Vital Statistics Division, Office of Registrar General, Ministry of Home Affairs, Government of India, New Delhi, India, 2011.
[20]  A. Radkar, T. Kanitkar, and M. Talwalkar, “Epidemiological transition in urban Maharashtra,” Economic and Political Weekly, vol. 44, no. 39, pp. 23–27, 2010.
[21]  P. Jha, B. Jacob, V. Gajalakshmi et al., “A nationally representative case-control study of smoking and death in India,” The New England Journal of Medicine, vol. 358, no. 11, pp. 1137–1147, 2008.
[22]  RGI, “Special fertility and mortality survey, 1998: A report of 1.1 million households,” Registrar General of India, New Delhi, India, 2006, http://www.worldcat.org/title/sample-registration-system-special-fertility-mortality-survey-1998-a-report-of-11-million-indian-households/oclc/71349247.
[23]  A. L. Montgomery, S. K. Morris, R. Kumar et al., “Capturing the context of maternal deaths from verbal autopsies: a reliability study of the maternal data extraction tool (M-DET),” PLoS ONE, vol. 6, no. 2, Article ID e14637, 2011.
[24]  S. K. Morris, D. G. Bassani, S. Awasthi, et al., “Diarrhea, pneumonia, and infectious disease mortality in children aged 5 to 14 years in India,” PLoS ONE, vol. 6, no. 5, Article ID e20119, 2011.
[25]  J. Jagnoor, D. G. Bassani, L. Keay et al., “Unintentional injury deaths among children younger than 5 years of age in India: a nationally representative study,” Injury Prevention, vol. 17, no. 3, pp. 151–155, 2011.
[26]  D. G. Bassani, R. Kumar, S. K. Morris, P. Jha, and the Million Death Study Collaborators, “Causes of child and neonatal mortality in India: nationally-representative mortality survey,” The Lancet, vol. 376, pp. 1853–1856, 2010.
[27]  RGI (various years), Medical Certification of Cause of Death Reports, 1990 to 2006, Office of the Registrar General, India, Ministry of Home Affairs, Government of India, New Delhi, India, 1990.
[28]  RGI, Compendium of Sample Registration System Reports, Office of Registrar General, Ministry of Home Affairs, Government of India, New Delhi, India, 2007.
[29]  RGI and Census Commissioner of India, Expert Committee Projection Report Based on 1991 and 2001 Censuses, Office of Registrar General, Ministry of Home Affairs, Government of India, New Delhi, India, 2006.
[30]  B. D. Bissett, Automated Data Analysis Using Excel, CRC Press, Boca Raton, Fla, USA, 2007.
[31]  S. Walsh and D. Diamond, “Non-linear curve fitting using microsoft excel solver,” Talanta, vol. 42, no. 4, pp. 561–572, 1995.
[32]  P. W. Setel, O. Sankoh, C. Rao et al., “Sample registration of vital events with verbal autopsy: a renewed commitment to measuring and monitoring vital statistics,” Bulletin of the World Health Organization, vol. 83, no. 8, pp. 611–617, 2005.
[33]  J. Bongaarts, “Trends in causes of death in low-mortality countries: implications for mortality projections,” Population and Development Review, vol. 40, no. 2, pp. 189–212, 2014.

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