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dc.contributor.authorSwasey, Krystal K.
dc.contributor.authorGupta, Rajat Das
dc.contributor.authorNayeem, Jannatun
dc.contributor.authorAl Kibria, Gulam Muhammed
dc.date.accessioned2022-04-05T05:44:58Z
dc.date.available2022-04-05T05:44:58Z
dc.date.copyright2019
dc.date.issued2019-10-21
dc.identifier.citationSwasey, K., Gupta, R., Nayeem, J., & Kibria, G. (2020). Determinants of diabetes in Bangladesh using two approaches: An analysis of the Demographic and Health Survey 2011. Journal of Biosocial Science, 52(4), 585-595. doi:10.1017/S002193201900066Xen_US
dc.identifier.urihttp://hdl.handle.net/10361/16521
dc.descriptionThis article was published in The Journal of Biosocial Science [ © Cambridge University Press 2019] and the definite version is available at: https://doi.org/10.1017/S002193201900066X. The Journal's website is at: https://www.cambridge.org/core/journals/journal-of-biosocial-science/article/determinants-of-diabetes-in-bangladesh-using-two-approaches-an-analysis-of-the-demographic-and-health-survey-2011/79E90A6DD9A7AE17C3E1E9662CEF58ADen_US
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.publisherCambridge University Pressen_US
dc.relation.urihttps://www.cambridge.org/core/journals/journal-of-biosocial-science/article/determinants-of-diabetes-in-bangladesh-using-two-approaches-an-analysis-of-the-demographic-and-health-survey-2011/79E90A6DD9A7AE17C3E1E9662CEF58AD
dc.subjectDiabetesen_US
dc.subjectDeterminantsen_US
dc.subjectBangladeshen_US
dc.titleDeterminants of diabetes in Bangladesh using two approaches: An analysis of the Demographic and Health Survey 2011en_US
dc.typeJournal Articleen_US
dc.description.versionPublished
dc.contributor.departmentBrac James P. Grant School of Public Health
dc.identifier.doihttps://doi.org/10.1017/S002193201900066X
dc.relation.journalJournal of Biosocial Science


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