Association between obesity and selected morbidities: A study of BRICS
AbstractContext: Over the past few decades, obesity has reached epidemic proportions, and is a major contributor to the global burden of chronic diseases and disability. There is little evidence on obesity related co-morbidities in BRICS countries. Objectives: The first objective is to examine the factors associated with overweight and obesity in four of the five BRICS countries (China, India, Russia and South Africa). The second is to examine the linkage of obesity with selected morbidities. Methods: We used data from the Study on Global Ageing and Adult Health (SAGE) survey conducted in China, India, Russia and South Africa during 2007-10. Respondents with a body mass index (BMI)>= 25 but = 30 as obese. Bivariate analysis, binary logistic regression and multinomial logistic regression are used in the analysis. The morbidities included in the analysis are Hypertension, Diabetes, Angina, Stroke, Arthritis and Depression. Results: The prevalence of obesity was highest in South Africa (35%) followed by Russia (27%), China (5%) and India (3%). The prevalence of obesity was significantly higher in females as compared to males in all the countries. While the wealth quintile was significantly associated with obesity in India, Russia and South Africa, engaging in work requiring physical activity was significantly associated with obesity in China and South Africa. Overweight/obesity was significantly associated with morbidities such as Hypertension, Angina, Diabetes and Arthritis in all the four countries. In comparison, overweight/obesity was not associated with Stroke and Depression in any of the four countries included in the analysis. Conclusion: The data demonstrates a high prevalence of obesity in South Africa and Russia. Overweight/obesity was significantly associated with Hypertension, Angina, Diabetes and Arthritis.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 48678.
Date of creation: 19 Jul 2013
Date of revision:
overweight; obesity; hypertension; diabetes; angina; stroke; arthritis; depression; BRICS;
Find related papers by JEL classification:
- I1 - Health, Education, and Welfare - - Health
- I12 - Health, Education, and Welfare - - Health - - - Health Production
This paper has been announced in the following NEP Reports:
- NEP-AFR-2013-08-05 (Africa)
- NEP-AGR-2013-08-05 (Agricultural Economics)
- NEP-ALL-2013-08-05 (All new papers)
- NEP-CIS-2013-08-05 (Confederation of Independent States)
- NEP-HEA-2013-08-05 (Health Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer, vol. 38(1), pages 115-132, February.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- #HEJC papers for September 2013
by academichealtheconomists in The Academic Health Economists' Blog on 2013-08-31 23:01:38
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