Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-27T07:30:31.516Z Has data issue: false hasContentIssue false

CHANGING AGE PATTERNS OF MORBIDITY VIS-À-VIS MORTALITY IN INDIA

Published online by Cambridge University Press:  08 November 2013

PERIANAYAGAM AROKIASAMY
Affiliation:
Department of Development Studies, International Institute for Population Sciences, Mumbai, India
SURYAKANT YADAV*
Affiliation:
Department of Development Studies, International Institute for Population Sciences, Mumbai, India
*
1Corresponding author. Email: suryakant11@gmail.com

Summary

The combined effects of decreased fertility and mortality coupled with increasing survivorship across most ages have been upsetting the levels and age patterns of morbidity and mortality in India. This study examined data from the National Sample Survey (NSS) and Sample Registration System (SRS) of India. The results reveal marked structural changes in the age patterns of morbidity and mortality. The analysis also tested whether morbidity contours are being compressed or expanded, connecting it with the ongoing processes of demographic and epidemiological transition. The Sullivan (1971) method was used to estimate the health ratio over three time periods to ascertain the expansion of morbidity. The results reveal an exceptional rise in the prevalence rate of chronic non-communicable diseases in ages 60 and above. The proportion of unhealthy years of the total life expectancy has increased more than before for all older age groups. Overall, the results confirm that an expansion of morbidity is in progress, with a heavier and cumulated concentration of morbidity in older ages. The expansion of morbidity hypothesis is validated for major categories of population: rural, urban, male and female. Older females bear a much heavier burden of chronic non-communicable diseases and are vulnerable to a higher proportion of unhealthy years. The age-structural shifts in morbidity and mortality signal the steady progress of epidemiological transition in India.

Type
Articles
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Doblhammer, G. & Kytir, J. (2001) Compression or expansion of morbidity? Trends in healthy-ex in the elderly Austrian population between 1978 and 1998. Social Science & Medicine 52, 385391.Google Scholar
Fries, J. F. (1980) Aging, natural death, and the compression of morbidity. New England Journal of Medicine 303(3), 130135.Google Scholar
Fries, J. F. (1983) The compression of morbidity. Milbank Memorial Fund Quarterly. Health and Society (Special Issue: Aging: Demographic, Health, and Social Prospects) 61(3), 397419.Google Scholar
Fries, J. F. (1989) The compression of morbidity: near or far? Milbank Quarterly 67(2), 208232.Google Scholar
Fries, J. F. (2005) The compression of morbidity. Milbank Quaterly 83(4), 801823.CrossRefGoogle ScholarPubMed
Gowariker, V. (1994) Demographic transition in India. Economic and Political Weekly 29(49), 31063108.Google Scholar
Gruenberg, E. M. (1977) The failure or success. Milbank Memorial Fund Quarterly. Health and Society 55(1), 324.CrossRefGoogle ScholarPubMed
Gupte, M. D., Ramachandran, V. & Mutatkar, R. K. (2001) Epidemiological profile of India: historical and contemporary perspectives. Journal of Biosciences 26(4), 437464.Google Scholar
Howse, K. (2006) Increasing Life Expectancy and the Compression of Morbidity: A Critical Review of the Debate. Working Paper No. 206, Oxford Institute of Ageing, UK. URL: http://www.ageing.ox.ac.uk/files/workingpaper_206.pdf (accessed 5th January 2012).Google Scholar
IIPS (1995) National Family Health Survey (NFHS–1), India 1992–1993. International Institute for Population Science, Mumbai, India.Google Scholar
IIPS (2000) National Family Health Survey (NFHS–2), India 1998–99. International Institute for Population Science, Mumbai, India.Google Scholar
IIPS (2007) National Family Health Survey (NFHS–3), India 2005–06. International Institute for Population Science, Mumbai, India.Google Scholar
Johansson, S. R. (1991) The health transition: the cultural inflation of morbidity during decline of mortality. Health Transition Review 1(1), 3965.Google ScholarPubMed
Joshi, R., Cardona, M., Iyengar, S., Sukumar, A., Raju, C. R., Raju, K.et al. (2006) Chronic diseases now a leading cause of death in rural India – mortality data from the Andhra Pradesh Rural Health. International Journal of Epidemiology 35(6), 15221529.Google Scholar
Kannisto, V. (2000) Measuring the compression of mortality. Demographic Research 3(6) doi: 10.4054/DemRes.2000.3.6.CrossRefGoogle ScholarPubMed
Kurpad, A. V., Mony, P. & Vaz, M. (2006) Chronic disease in India – where next? In Proceedings of the International Symposium on Building Leadership Skills in Food and Nutrition Essential for National Development, CFTRI, Mysore, India, June 23–25th 2006.Google Scholar
Mahal, A., Anup, K. & Michael, E. (2010) The Economic Implications of Non-Communicable Disease for India. Health, Nutrition and Population (HNP). Discussion Paper, International Bank for Reconstruction and Development, World Bank, Washington DC. URL: http://siteresources.worldbank.org/HEALTHNUTRITIONANDPOPULATION/Resources/281627-1095698140167/EconomicImplicationsofNCDforIndia.pdf (accessed 12th October 2012).Google Scholar
Ministry of Health and Family Welfare (2007) Select Health Parameters: A Comparative Analysis across the National Sample Survey Organization (NSSO) 42nd, 52nd, and 60th Rounds. Ministry of Health and Family Welfare, Government of India in collaboration with the WHO Country Office for India. URL: http://s3.amazonaws.com/zanran_storage/whoindia.org/ContentPages/112354873.pdf (accessed 28th April 2013).Google Scholar
Murray, C. J. L. (1994) Quantifying the burden of diseases: the technical basis for disability-adjusted life years. Bulletin of the World Health Organization 72(3), 429445.Google Scholar
Murray, C. J. L. & Chen, L. C. (1992) Understanding morbidity change. Population and Development Review 18(3), 481503.Google Scholar
Murray, C. J. L. & Lopez, A. D. (1994) Global and regional cause-of-death patterns in 1990. Bulletin of the World Health Organization 72(3), 447480.Google Scholar
NSSO (1998) Morbidity and Treatments of Ailments. NSS Fifty-second Round July (1995–June 1996). Report No. 441(52/25.0/1), MOSPI, GOI, New Delhi, India.Google Scholar
NSSO (2006) Morbidity, Health Care and the Conditioned of the Aged. NSS 60th round (January–June 2004). Report No. 507(60/25.0/1), MOSPI, GOI, New Delhi, India.Google Scholar
Oeppen, J. & Vaupel, J. W. (2002) Broken limits to life expectancy. Science 296, 10291031.CrossRefGoogle ScholarPubMed
Pool, I. & Wong, L. R. (2006) Age-structural transitions and policy: an emerging issue. In CICRED (ed.) Age–Structural Transitions Challenges for Development. Committee for International Cooperation in National Research in Demography (CICRED), Paris, pp. 319.Google Scholar
Quigley, M. A. (2006) Commentary: shifting burden of disease – epidemiological transition in India. International Journal of Epidemiology 35(6), 15301531.Google Scholar
RGI (2009) Compendium of India's Fertility and Mortality Indicators 1971–2007. Registrar General of India, Ministry of Home Affairs, New Delhi.Google Scholar
RGI (2012a) SRS Based Abridged Life Tables 2003–07 to 2006–2010. SRS Analytical Studies, Report No. 1 of 2012, Registrar General of India, New Delhi. URL: http://www.censusindia.gov.in/vital_statistics/SRS_Based/India_2006-10.pdf (accessed 15th January 2013).Google Scholar
RGI (2012b) SRS Bulletin, Sample Registration System. Registrar General, India, Vol. 47(2). Vital Statistics Division, R. K. Puram, New Delhi.Google Scholar
Sullivan, D. F. (1971) A single index of mortality and morbidity. SMHA Health Report 86(4), 347354.Google Scholar
United Nations (2009) World Population Prospects: The 2008 Revision. Department of Economic and Social Affairs, New York. URL: http://www.un.org/esa/population/publications/wpp2008/wpp2008_highlights.pdf (accessed 12th May 2012).Google Scholar
United Nations (2011) Age-Standardized Mortality Rates by Cause (per 1,00,000 population) – NCDs and Injuries. UN Data Statistics. URL: http://data.un.org/Data.aspx?q=Age-standardized+mortality+rate+by+cause&d=WHO&f=MEASURE_CODE%3aWHS2_162; http://data.un.org/Data.aspx?q=Age-standardized+mortality+rate+by+cause&d=WHO&f=MEASURE_CODE%3aWHS2_163 (accessed 12th September 2011).Google Scholar
United Nations (2012) Adult Mortality Rate (probability of dying between 15 and 60 years per 1000 population). UN Data, Statistics. URL: http://data.un.org/Data.aspx?d=WHO&f=MEASURE_CODE%3AWHOSIS_000004 (accessed 20th May 2012).Google Scholar
van de Water, H. P.A. (1997) Health expectancy and the problem of substitute morbidity. Philosophical Transactions: Biological Sciences 352(1363), 18191827. URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1692121/pdf/9460066.pdf.Google Scholar
WHO (1957) Expert Committee on Health Statistics: Fifth Report. Technical Report Series No. 133, Geneva, Switzerland.Google Scholar
WHO (2011) Age-Standardized Death Rates per 100,000 by Cause, Sex and Member State, 2008. Department of Measurement and Health Information. URL: http://www.who.int/healthinfo/global_burden_disease/estimates_country/en/index.html (accessed 26th May 2012).Google Scholar
WHO SAERO (2011) Noncommunicable Diseases in the South-East Asia Region: Situation and Response 2011. New Delhi, India. URL: http://203.90.70.117/PDS_DOCS/B4793.pdf (accessed 16th September 2012).Google Scholar