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      Understanding epidemiological transition in India

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          Abstract

          Background

          Omran's theory explains changing disease patterns over time predominantly from infectious to chronic noncommunicable diseases (NCDs). India's epidemiological transition is characterized by dual burden of diseases. Kumar addressed low mortality and high morbidity in Kerala, which seems also to be true for India as a country in the current demographic scenario.

          Methods

          NSS data (1986–1987, 1995–1996, 2004) and aggregated data on causes of death provided by Registrar General India (RGI) were used to examine the structural changes in morbidity and causes of death. A zero-inflated poisson (ZIP) regression model and a beta-binomial model were used to corroborate the mounting age pattern of morbidity. Measures, namely the 25th and 75th percentiles of age-at-death and modal age-at-death, were used to examine the advances in mortality transition.

          Objective

          This study addressed the advances in epidemiological transition via exploring the structural changes in pattern of diseases and progress in mortality transition.

          Results

          The burden of NCDs has been increasing in old age without replacing the burden of communicable diseases. The manifold rise of chronic diseases in recent decades justifies the death toll and is responsible for transformation in the age pattern of morbidity. Over time, deaths have been concentrated near the modal age-at-death. Modal age-at-death increased linearly by 5 years for females ( r 2=0.9515) and males ( r 2=0.9020). Significant increase in modal age-at-death ascertained the dominance of old age mortality over the childhood/adult age mortality.

          Conclusions

          India experiences a dual burden of diseases associated with a remarkable transformation in the age pattern of morbidity and mortality, contemporaneous with structural changes in disease patterns. Continued progress in the pattern of diseases and mortality transition, accompanied by a linear rise in e x , unravels a compelling variation in advances found so far in epidemiological transition witnessed by the developed nations, with similar matrices for India.

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          Most cited references64

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          Rectangularization revisited: variability of age at death within human populations.

          Rectangularization of human survival curves is associated with decreasing variability in the distribution of ages at death. This variability, as measured by the interquartile range of life table ages at death, has decreased from about 65 years to 15 years since 1751 in Sweden. Most of this decline occurred between the 1870s and the 1950s. Since then, variability in age at death has been nearly constant in Sweden, Japan, and the United States, defying predictions of a continuing rectangularization. The United States is characterized by a relatively high degree of variability, compared with both Sweden and Japan. We suggest that the historical compression of mortality may have had significant psychological and behavioral impacts.
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            Chronic diseases now a leading cause of death in rural India--mortality data from the Andhra Pradesh Rural Health Initiative.

            India is undergoing rapid epidemiological transition as a consequence of economic and social change. The pattern of mortality is a key indicator of the consequent health effects but up-to-date, precise, and reliable statistics are few, particularly in rural areas. Deaths occurring in 45 villages (population 180 162) were documented during a 12-month period in 2003-04 by multipurpose primary healthcare workers trained in the use of a verbal autopsy tool. Algorithms were used to define causes of death according to a limited list derived from the international classification of disease version 10. Causes were assigned by two independent physicians with disagreements resolved by a third. A total of 1354 deaths were recorded with verbal autopsies completed for 98%. A specific underlying cause of death was assigned for 82% of all verbal autopsies done. The crude death rate was 7.5/1000 (95% confidence interval, 7.1-7.9). Diseases of the circulatory system were the leading causes of mortality (32%), with similar proportions of deaths attributable to ischaemic heart disease and stroke. Second was injury and external causes of mortality (13%) with one-third of these deaths attributable to deliberate self harm. Third were infectious and parasitic diseases (12%). Tuberculosis and intestinal conditions each caused one-third of deaths within this category. HIV was assigned as the cause for 2% of all deaths. The fourth and fifth leading causes of death were neoplasms (7%) and diseases of the respiratory system (5%). Non-communicable and chronic diseases are the leading causes of death in this part of rural India. The observed pattern of death is unlikely to be unique to these villages and provides new insight into the rapid progression of epidemiological transition in rural India.
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              Word Population Prospects: The 2012 Revision

              (2013)
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                Author and article information

                Journal
                Glob Health Action
                Glob Health Action
                GHA
                Global Health Action
                Co-Action Publishing
                1654-9716
                1654-9880
                15 May 2014
                2014
                : 7
                : 10.3402/gha.v7.23248
                Affiliations
                International Institute for Population Sciences, Mumbai, India
                Author notes
                [* ]Correspondence to: Suryakant Yadav, International Institute for Population Sciences, Mumbai, India, Email: suryakant11@ 123456gmail.com

                Responsible Editors: Nawi Ng, Umeå University, Sweden; Barthélémy Kuate Defo, University of Montreal, Canada.

                Article
                23248
                10.3402/gha.v7.23248
                4028906
                24848651
                3081df49-2b32-417a-894c-ee4c567a77a4
                © 2014 Suryakant Yadav and Perianayagam Arokiasamy

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 02 November 2013
                : 26 January 2014
                : 03 February 2014
                Categories
                Special Issue: Epidemiological Transitions–Beyond Omran's Theory

                Health & Social care
                noncommunicable diseases,communicable diseases,disease patterns,mortality transition,epidemiological transition

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