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Determinants of diabetes in Bangladesh using two approaches: an analysis of the Demographic and Health Survey 2011.
Swasey, Krystal K; Gupta, Rajat Das; Nayeem, Jannatun; Kibria, Gulam Muhammed Al.
Afiliación
  • Swasey KK; University of Maryland School of Medicine, Baltimore, MD, USA.
  • Gupta RD; Centre for Non-Communicable Diseases and Nutrition, BRAC James P. Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
  • Nayeem J; Centre for Science of Implementation and Scale-Up, BRAC James P. Grant school of Public Health, BRAC University, Dhaka, Bangladesh.
  • Kibria GMA; Comilla Medical College, Comilla, Bangladesh.
J Biosoc Sci ; 52(4): 585-595, 2020 07.
Article en En | MEDLINE | ID: mdl-31630691
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Población Rural / Factores Socioeconómicos / Diabetes Mellitus / Escolaridad / Obesidad Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Biosoc Sci Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Población Rural / Factores Socioeconómicos / Diabetes Mellitus / Escolaridad / Obesidad Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Biosoc Sci Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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