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Lien My Diep  (Diep LM) 1 Article
Prevalence of Type 2 Diabetes and Impaired Glucose Regulation with Associated Cardiometabolic Risk Factors and Depression in an Urbanizing Rural Community in Bangladesh: A Population-Based Cross-Sectional Study
Bishwajit Bhowmik, Sanjida Binte Munir, Israt Ara Hossain, Tasnima Siddiquee, Lien My Diep, Sharif Mahmood, Hajera Mahtab, A. K. Azad Khan, Akhtar Hussain
Diabetes Metab J. 2012;36(6):422-432.   Published online December 12, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.6.422
  • 4,774 View
  • 42 Download
  • 35 Crossref
AbstractAbstract PDFPubReader   
Background

To determine the prevalence of type 2 diabetes (T2DM) and impaired glucose regulation (impaired fasting glucose [IFG] and impaired glucose tolerance [IGT]) in an urbanizing rural population of Bangladesh and associated cardiometabolic risk indicators and depression.

Methods

A total of 2,293 subjects aged ≥20 years in an urbanizing rural Bangladeshi community were investigated. Socio-demographic and anthropometric details, blood pressure, fasting plasma glucose (FPG), 2 hours after 75 g plasma glucose (2hPG), glycosylated hemoglobin, fasting serum insulin and lipid profiles were studied. Presence of depressive symptoms using Montogomery-Asberg Depression Rating Scale was also assessed.

Results

The prevalence of IFG, IGT, IFG+IGT, and T2DM were 3.4%, 4.0%, 1.2%, and 7.9%, respectively. The prevalence of T2DM and impaired glucose regulation differed between males and females, but, both increased with age in both sexes. FPG and 2hPG had positive correlation. Employing logistic regression, it was found that increased age, waist to hip ratio, systolic blood pressure, total cholesterol, triglycerides, and depression were independent risk indicators for diabetes. Both insulin resistance and β-cell deficiency were significantly related for causation of diabetes. Among the study population, 26.2% had general obesity, 39.8% central obesity, 15.5% hypertension, 28.7% dyslipidemia, 17.6% family history of diabetes, and 15.3% had depression. Physical inactivity and smoking habits were significantly higher in male.

Conclusion

Rising prevalence of diabetes and impaired glucose regulation in this urbanizing rural population exist as a significant but hidden public health problem. Depression and other cardiometabolic risk indicators including obesity, hypertension, and dyslipdemia were also prevalent in this population.

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  • Response: Increasing Prevalence of Type 2 Diabetes in a Rural Bangladeshi Population: A Population Based Study for 10 Years (Diabetes Metab J2013;37:46-53)
    Bishwajit Bhowmik, Faria Afsana, Lien My Diep, Sanjida Binte Munir, Erica Wright, Sharif Mahmood, A. K. Azad Khan, Akhtar Hussain
    Diabetes & Metabolism Journal.2013; 37(2): 153.     CrossRef
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Lien My Diep  (My Diep L) 3 Articles
Corrigendum: Increasing Prevalence of Type 2 Diabetes in a Rural Bangladeshi Population: A Population Based Study for 10 Years
Bishwajit Bhowmik, Faria Afsana, Lien My Diep, Sanjida Binte Munir, Erica Wright, Sharif Mahmood, A. K. Azad Khan, Akhtar Hussain
Diabetes Metab J. 2015;39(3):272-272.   Published online June 15, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.272
  • 2,955 View
  • 27 Download
PDFPubReader   
Response: Increasing Prevalence of Type 2 Diabetes in a Rural Bangladeshi Population: A Population Based Study for 10 Years (Diabetes Metab J 2013;37:46-53)
Bishwajit Bhowmik, Faria Afsana, Lien My Diep, Sanjida Binte Munir, Erica Wright, Sharif Mahmood, A. K. Azad Khan, Akhtar Hussain
Diabetes Metab J. 2013;37(2):153-154.   Published online April 16, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.2.153
  • 2,844 View
  • 24 Download
  • 1 Crossref
PDFPubReader   

Citations

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  • Epidemiology Characteristics of Constipation for General Population, Pediatric Population, and Elderly Population in China
    Huikuan Chu, Likun Zhong, Hai Li, Xiujing Zhang, Jingzhi Zhang, Xiaohua Hou
    Gastroenterology Research and Practice.2014; 2014: 1.     CrossRef
Increasing Prevalence of Type 2 Diabetes in a Rural Bangladeshi Population: A Population Based Study for 10 Years
Bishwajit Bhowmik, Faria Afsana, Lien My Diep, Sanjida Binte Munir, Erica Wright, Sharif Mahmood, A. K. Azad Khan, Akhtar Hussain
Diabetes Metab J. 2013;37(1):46-53.   Published online February 15, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.1.46
  • 5,544 View
  • 43 Download
  • 28 Crossref
AbstractAbstract PDFPubReader   
Background

To observe changes in the prevalence of type 2 diabetes mellitus (DM) and impaired fasting glucose (IFG) and its associated risk factors in a rural Bangladeshi population over a 10-year period.

Methods

Three cross-sectional studies were undertaken in a rural community (aged ≥20 years) in 1999, 2004, and 2009. Structured questionnaires including sociodemographic parameters, anthropometric measurements, blood pressure, and blood glucose values were recorded. DM and IFG were diagnosed using 1999 World Health Organization criteria.

Results

Age standardized prevalence of DM increased significantly (P<0.001) from 1999 to 2009 (2.3%, 6.8%, and 7.9% in 1999, 2004, and 2009, respectively). The prevalence of IFG increased significantly (P=0.011) from 4.6% to 5.8% between 1999 and 2004 but then decreased from 5.8% to 5.3% during 2004 to 2009. Significant linear trends were shown in both sexes for general and central obesity as indicated by body mass index, waist circumference, and waist hip ratio (WHR). Increasing age and systolic blood pressure were significant risk factors for DM in all three studies. WHR for males was also significantly associated with the risk of DM in all three studies. WHR for females was only significantly associated with DM in 2009.

Conclusion

A significant rise in the prevalence of DM was observed in this population over 10 years. This increase was seen in both sexes, and in all age groups. A significant increase in the prevalence of the associated risk factors of general and central obesity was observed in both sexes.

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    Journal of Diabetology.2021; 12(4): 383.     CrossRef
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    Nan Hee Kim
    Diabetes & Metabolism Journal.2013; 37(2): 152.     CrossRef

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