Evidence map›Paper›PMID 26483053›Full record

ArticleBMC public health2015

Type 2 diabetes and its correlates among adults in Bangladesh: a population based study.

Muhammad Abdul Baker Chowdhury, Md Jamal Uddin, Hafiz M R Khan, Md Rabiul Haque

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Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

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43citing papers in PubMed, 1 pooled it
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3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Early Prediction of Diabetes Using an Ensemble of Machine Learning Models.International journal of environmental research and public health · 2022
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Muhammad Abdul Baker ChowdhuryDepartment of Biostatistics, Robert Stempel College of Public Health & Social Work, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA. mchow023@fiu.edu.
Md Jamal UddinDepartment of Statistics, Shahjalal University of Science & Technology, Sylhet, 3114, Bangladesh. jamal-sta@sust.edu.
Hafiz M R KhanDepartment of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, 79430, USA. hafiz.khan@ttuhsc.edu.
Md Rabiul HaqueDepartment of Population Sciences, University of Dhaka, Dhaka, 1000, Bangladesh. rabiuldps@du.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes is one of the most prevalent non-communicable diseases in Bangladesh. However, the correlates of type 2 diabetes among adults in Bangladesh remain unknown. We aimed to investigate the correlates of type 2 diabetes among the adults in Bangladesh.

methodsWe conducted a cross-sectional study using data from the nationally representative 2011 Bangladesh Demographic and Health Survey. A random sample of 7,543 (3,823 women and 3,720 men) adults of age 35 years and older from both urban and rural areas, who participated in the survey was included. Diabetes was defined as having a fasting plasma blood glucose level of ≥ 7 mm/L or taking diabetes medication during the survey. Hypothesized factors, e.g., age, sex, education, place of residence, social status, body mass index, and hypertension were considered in the analyses. Multivariable logistic regression models were used to identify the important correlates of type 2 diabetes.

resultsAmong the respondents, the overall prevalence of diabetes was 11 %, and the prevalence was slightly higher in women (11.2 %) than men (10.6 %). Respondents with the age group of 55-59 years had higher odds of having diabetes (odds ratios (OR) = 2.37, 95 % confidence interval (CI): 1.76-3.21) than the age group of 35-39 years. Moreover, respondents who had higher educational attainment (OR = 1.67, 95 % CI: 1.18-2.36) and higher social status (OR = 2.01, 95 % CI: 1.50-2.70) had higher odds of having diabetes than the respondents with no education and lower social status, respectively. We also found socioeconomic status, place of residence (rural or urban), regions of residence (different divisions), overweight and obesity, and hypertension as significant correlates of type 2 diabetes in Bangladesh.

conclusionsOur study shows that older age, higher socioeconomic status, higher educational attainment, hypertension, and obesity were found to be significant correlates of type 2 diabetes. Need-based policy program strategies including early diagnosis, awareness via mass media, and health education programs for changing lifestyles should be initiated for older age, wealthy, and/or higher educated individuals in Bangladesh. Moreover, area-specific longitudinal research is necessary to find out the underlying causes of regional variations.

Indexed as

Body Mass IndexEducational StatusResidence CharacteristicsSocial ClassAdultAgedAge FactorsBangladeshCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHealth SurveysHumansHypertensionIncomeLogistic Models

Identifiers

PMID26483053
PMCPMC4610042

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.