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2018 | OriginalPaper | Chapter

25. Morbidity Pattern of Elderly in India

Authors : Poulomi Chowdhury, Mausam Kumar Garg, Laishram Ladusingh

Published in: Issues on Health and Healthcare in India

Publisher: Springer Singapore

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Abstract

This study sheds light on the pattern and trend of chronic diseases among the elderly over time using three sources of data—NSSO 60th round (2004), WHO-SAGE (WHO SAGE Survey Manual: The WHO Study on Global AGEing and Adult Health (SAGE). Geneva, World Health Organization. 2006) and LASI (Longitudinal Aging Study in India, Pilot Wave. Harvard School of Public Health, International Institute of Population Sciences, Mumbai, India, and RAND Corporation. 2011). Based on ICD-10, the diseases are been classified into three categories—communicable diseases, non-communicable diseases and other diseases and disabilities. Trends in prevalence of diseases under these three broad classifications by sex, age groups and residence are estimated and analyzed. A decomposition method has been used, to check the significant difference in the gender gaps in the prevalence of morbidity. Non-communicable and other diseases and disabilities are found to have increase over time regardless of background characteristics of individuals, whereas it is the reverse case for communicable diseases and the prevalence of diseases are higher among elderly females than the males. The gender differentials in prevalence of diseases are found to be statistically significant. The concluding message of the study is that morbidities among the elderly are expected to escalate in future.

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Appendix
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Metadata
Title
Morbidity Pattern of Elderly in India
Authors
Poulomi Chowdhury
Mausam Kumar Garg
Laishram Ladusingh
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6104-2_25

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