Cargando…

Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance

To estimate the age-standardized prevalence of diabetes and prediabetes and identify factors associated with these conditions at individual, household, and community levels. Data from 11952 Bangladeshi adults aged 18–95 years available from the most recent Bangladesh Demographic and Health Survey 20...

Descripción completa

Detalles Bibliográficos
Autores principales: Hossain, Mohammad Bellal, Khan, Md. Nuruzzaman, Oldroyd, John C., Rana, Juwel, Magliago, Dianna J., Chowdhury, Enayet K., Karim, Md Nazmul, Islam, Rakibul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021925/
https://www.ncbi.nlm.nih.gov/pubmed/36962350
http://dx.doi.org/10.1371/journal.pgph.0000461
_version_ 1784908613835292672
author Hossain, Mohammad Bellal
Khan, Md. Nuruzzaman
Oldroyd, John C.
Rana, Juwel
Magliago, Dianna J.
Chowdhury, Enayet K.
Karim, Md Nazmul
Islam, Rakibul M.
author_facet Hossain, Mohammad Bellal
Khan, Md. Nuruzzaman
Oldroyd, John C.
Rana, Juwel
Magliago, Dianna J.
Chowdhury, Enayet K.
Karim, Md Nazmul
Islam, Rakibul M.
author_sort Hossain, Mohammad Bellal
collection PubMed
description To estimate the age-standardized prevalence of diabetes and prediabetes and identify factors associated with these conditions at individual, household, and community levels. Data from 11952 Bangladeshi adults aged 18–95 years available from the most recent Bangladesh Demographic and Health Survey 2017–18 were used. Anthropometric measurements and fasting blood glucose samples were taken as part of the survey. Prevalence estimates of diabetes and prediabetes were age-standardized with direct standardization, and risk factors were identified using multilevel mix-effects Poisson regression models with robust variance. The overall age-standardised prevalence of diabetes was 9.2% (95%CI 8.7–9.7) (men: 8.8%, women: 9.6%), and prediabetes was 13.3% (95%CI 12.7–13.9) (men: 13.0%, women: 13.6%). Among people with diabetes, 61.5% were unaware that they had the condition. 35.2% took treatment regularly, and only 30.4% of them had controlled diabetes. Factors associated with an increased prevalence of having diabetes were increasing age, male, overweight/obesity, hypertension, being in the highest wealth quintile, and living in the Dhaka division. People currently employed and living in the Rangpur division were less likely to have diabetes than those currently not employed and living in the Barishal division. Diabetes and prediabetes affect a substantial proportion (over one-quarter) of the Bangladeshi adult population. Continuing surveillance and effective prevention and control measures, focusing on obesity reduction and hypertension management, are urgently needed.
format Online
Article
Text
id pubmed-10021925
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-100219252023-03-17 Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance Hossain, Mohammad Bellal Khan, Md. Nuruzzaman Oldroyd, John C. Rana, Juwel Magliago, Dianna J. Chowdhury, Enayet K. Karim, Md Nazmul Islam, Rakibul M. PLOS Glob Public Health Research Article To estimate the age-standardized prevalence of diabetes and prediabetes and identify factors associated with these conditions at individual, household, and community levels. Data from 11952 Bangladeshi adults aged 18–95 years available from the most recent Bangladesh Demographic and Health Survey 2017–18 were used. Anthropometric measurements and fasting blood glucose samples were taken as part of the survey. Prevalence estimates of diabetes and prediabetes were age-standardized with direct standardization, and risk factors were identified using multilevel mix-effects Poisson regression models with robust variance. The overall age-standardised prevalence of diabetes was 9.2% (95%CI 8.7–9.7) (men: 8.8%, women: 9.6%), and prediabetes was 13.3% (95%CI 12.7–13.9) (men: 13.0%, women: 13.6%). Among people with diabetes, 61.5% were unaware that they had the condition. 35.2% took treatment regularly, and only 30.4% of them had controlled diabetes. Factors associated with an increased prevalence of having diabetes were increasing age, male, overweight/obesity, hypertension, being in the highest wealth quintile, and living in the Dhaka division. People currently employed and living in the Rangpur division were less likely to have diabetes than those currently not employed and living in the Barishal division. Diabetes and prediabetes affect a substantial proportion (over one-quarter) of the Bangladeshi adult population. Continuing surveillance and effective prevention and control measures, focusing on obesity reduction and hypertension management, are urgently needed. Public Library of Science 2022-06-01 /pmc/articles/PMC10021925/ /pubmed/36962350 http://dx.doi.org/10.1371/journal.pgph.0000461 Text en © 2022 Hossain et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hossain, Mohammad Bellal
Khan, Md. Nuruzzaman
Oldroyd, John C.
Rana, Juwel
Magliago, Dianna J.
Chowdhury, Enayet K.
Karim, Md Nazmul
Islam, Rakibul M.
Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance
title Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance
title_full Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance
title_fullStr Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance
title_full_unstemmed Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance
title_short Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance
title_sort prevalence of, and risk factors for, diabetes and prediabetes in bangladesh: evidence from the national survey using a multilevel poisson regression model with a robust variance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021925/
https://www.ncbi.nlm.nih.gov/pubmed/36962350
http://dx.doi.org/10.1371/journal.pgph.0000461
work_keys_str_mv AT hossainmohammadbellal prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance
AT khanmdnuruzzaman prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance
AT oldroydjohnc prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance
AT ranajuwel prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance
AT magliagodiannaj prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance
AT chowdhuryenayetk prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance
AT karimmdnazmul prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance
AT islamrakibulm prevalenceofandriskfactorsfordiabetesandprediabetesinbangladeshevidencefromthenationalsurveyusingamultilevelpoissonregressionmodelwitharobustvariance