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Determinants of diabetes in Bangladesh using two approaches: an analysis of the Demographic and Health Survey 2011

Published online by Cambridge University Press:  21 October 2019

Krystal K. Swasey Open the ORCID record for Krystal K. Swasey [Opens in a new window] ,
Rajat Das Gupta Open the ORCID record for Rajat Das Gupta [Opens in a new window] ,
Jannatun Nayeem  and
Gulam Muhammed Al Kibria Open the ORCID record for Gulam Muhammed Al Kibria [Opens in a new window]
Krystal K. Swasey*
Affiliation:
University of Maryland School of Medicine, Baltimore, MD, USA
Rajat Das Gupta
Affiliation:
Centre for Non-Communicable Diseases and Nutrition, BRAC James P. Grant School of Public Health, BRAC University, Dhaka, Bangladesh Centre for Science of Implementation and Scale-Up, BRAC James P. Grant school of Public Health, BRAC University, Dhaka, Bangladesh
Jannatun Nayeem
Affiliation:
Comilla Medical College, Comilla, Bangladesh
Gulam Muhammed Al Kibria
Affiliation:
University of Maryland School of Medicine, Baltimore, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
*
*Corresponding author. Email: k.swasey24@gmail.com
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Abstract

This cross-sectional study analysed data from the Bangladesh Demographic and Health Survey 2011 to investigate factors associated with diabetes in Bangladesh. Data were analysed using logistic and log-binomial regressions to estimate odds ratios (ORs) and prevalence ratios (PRs), respectively. Among the 7544 respondents aged ≥35 years, the estimated prevalence of diabetes was 11.0%. In the adjusted analysis, survey participants in the age group 55–64 years (adjusted PR [APR]: 1.8, 95% Confidence Interval (CI): 1.4, 2.2; adjusted OR [AOR]: 1.9, 95% CI: 1.5, 2.5) and those with at least secondary education level (APR: 1.3, 95% CI: 1.0, 1.6; AOR: 1.3, 95% CI: 1.0, 1.7) were more likely to have diabetes than those in the age group 35–44 years and those with no education. Furthermore, respondents living in Khulna (APR: 0.5, 95% CI: 0.4, 0.6; AOR: 0.4, 95% CI: 0.3, 0.6) were less likely to have diabetes than people living in Barisal. While adjusted estimates of PR and OR were similar in terms of significance of association, the magnitude of the point estimate was attenuated in PR compared with the OR. Nevertheless, the measured factors still had a significant association with diabetes in Bangladesh. The results of this study suggest that Bangladeshi adults would benefit from increased education on, and awareness of, the risk factors for diabetes. Focused public health intervention should target these high-risk populations.

Keywords

DiabetesDeterminantsBangladesh
Type
Research Article
Information
Journal of Biosocial Science , Volume 52 , Issue 4 , July 2020 , pp. 585 - 595
Copyright
© Cambridge University Press 2019

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