Abstract
Objectives: Older adults in India face increased health risks due to socioeconomic and cultural characteristics found in India, including one of the highest out-of-pocket health expenditure in the world, poor quality healthcare and poor nutritional intake. In the backdrop of very little scientific data on elderly, this paper aims to provide fresh insights on the experience of multiple chronic diseases, co-morbidities and their co-variates.Study design: Cross-sectional survey studyMethods: Data from the Longitudinal Aging Study in India(LASI), Pilot survey, 2010 conducted in the four states of Karnataka, Kerala, Punjab and Rajasthan are used. Based on self reports of major chronic diseases, bi-variate analysis explores prevalence of multiple chronic disease and co-morbidities. Zero inflated Poisson regression model is estimated to assess the effects of social determinants on multiple chronic diseases. Results: Analysis reveals hypertension and diabetes as mutually critical co-morbidities of each other while heart and lung diseases are other important co-morbidities. Zero-inflated Poisson regression model estimates reveal age, education, economic status and physical activities as significant determinants of multiple chronic diseases. Conclusion: Age and social determinants show strong positive gradients of multiple chronic diseases and; considerable state variations are observed.
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