JDM  Vol.7 No.3 , August 2017
Association between Socio-Demographic Factors and Blood Sugar Levels in Type 2 Diabetes Mellitus Patients in Bangladesh
Author(s) Md. Rabiul Islam
ABSTRACT
Background: The aim of the current study was to evaluate the anthropometric and demographic factors and their correlation with type 2 diabetes mellitus (T2DM) in Bangladesh. Methods: One hundred fourteen patients (70 males and 44 females) between 30 and 75 years of age from various areas of Bangladesh were screened for T2DM. Fasting blood sugar (FBS) was analyzed by using laboratory kits and spectrophotometric technique. Anthropometric and socio-demographic data were collected using a structured questionnaire. Body mass index (BMI) was calculated from weight (kg) and height (m) of the individual respondents. Physical activity was categorized based on activity during daily work. Economic condition is defined by respective family income and education level is categorized into 3 levels: illiterate, 0 - 12 years of education and graduate or above. Results: According to the current study results, half of the patients were from the middle-class family with low physical activity and their age was within the range of 30 - 45 years. The male and female ratio of the study population was 60:40. Most of the patients were found to be obese and educated. Urban populations were more prone to have DM than the rural population. Age, education, the area of residence (urban and rural), physical activity and co-morbid diseases were significantly correlated with T2DM in Bangladesh (P < 0.05). Conclusion: Our study shows that different socio-demographic factors have a significant correlation with T2DM in Bangladesh. Diabetes awareness, early diagnosis, patient education and life- modification can be initiated to manage T2DM efficiently.
Cite this paper
Islam, M. (2017) Association between Socio-Demographic Factors and Blood Sugar Levels in Type 2 Diabetes Mellitus Patients in Bangladesh. Journal of Diabetes Mellitus, 7, 151-159. doi: 10.4236/jdm.2017.73012.
References
[1]   [1]American Diabetes Association (2007) Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 30, S42-S47.
https://doi.org/10.2337/dc07-S042

[2]   American Diabetes Association (2007) Standards of Medical Care in Diabetes. Diabetes Care, 30, S4-S41.
https://doi.org/10.2337/dc07-S004

[3]   World Health Organization (2016) Global Report on Diabetes. Geneva.
http://apps.who.int/iris/bitstream/10665/204871/1/9789241565257_eng.pdf

[4]   International Diabetes Federation (2013) Diabetes Atlas. 6th Edition.
https://www.google.com/#q=International+Diabetes+Federation,+Diabetes+Atlas+6th+Edition+2013

[5]   World Diabetic Day 2016.
https://www.altiusdirectory.com/Society/world-diabetes-day.php

[6]   Dudzinska, M., Tarach, J.S., Zwolak, A., Kurowska, M., Malicka, J., Smolen, A. and Nowakowski, A. (2013) Type 2 Diabetes Mellitus in Relation to Place of Residence: Evaluation of Selected Aspects of Socio-Demographic Status, Course of Diabetes and Quality of Life—A Cross-Sectional Study. Annals of Agricultural and Environmental Medicine, 20, 869-874.

[7]   Gonzalez-Zacarias, A.A., Mavarez-Martinez, A., Arias-Morales, C.E., Stoicea, N. and Rogers, B. (2016) Impact of Demographic, Socioeconomic, and Psychological Factors on Glycemic Self-Management in Adults with Type 2 Diabetes Mellitus. Frontiers in Public Health, 4, 195.
https://doi.org/10.3389/fpubh.2016.00195

[8]   Chiolero, A., Faeh, D., Paccaud, F. and Cornuz, J. (2008) Consequences of Smoking for Body Weight, Body Fat Distribution, and Insulin Resistance. The American Journal of Clinical Nutrition, 87, 801-809.

[9]   Stamler, J., Vaccaro, O., Neaton, J.D. and Wentworth, D. (1993) Multiple Risk Factor Intervention Trial Research Group, Diabetes, Other Risk Factors, and 12-yr Cardiovascular Mortality for Men Screened in the Multiple Risk Factor Intervention Trial. Diabetes Care, 16, 434-444.
https://doi.org/10.2337/diacare.16.2.434

[10]   Teixeira-Lemos, E., Nunes, S., Teixeira, F. and Reis, F. (2011) Regular Physical Exercise Training Assists in Preventing Type 2 Diabetes Development: Focus on Its Antioxidant and Anti-Inflammatory Properties. Cardiovascular Diabetology, 10, 12.

[11]   (2014) Abstracts from the 37th Annual Meeting of the Society of General Internal Medicine. Journal of General Internal Medicine, 29, 1-545.

[12]   Ortega, á., Berná, G., Rojas, A., Martín, F. and Soria, B. (2017) Gene-Diet Interactions in Type 2 Diabetes: The Chicken and Egg Debate. International Journal of Molecular Sciences, 18, 1188.
https://doi.org/10.3390/ijms18061188

[13]   Pulgaron, E.R. and Delamater, A.M. (2014) Obesity and Type 2 Diabetes in Children: Epidemiology and Treatment. Current Diabetes Reports, 14, 508.
https://doi.org/10.1007/s11892-014-0508-y

[14]   American Diabetes Association (2004) Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 27, S5-S10.
https://doi.org/10.2337/diacare.27.2007.S5

[15]   Asmat, U., Abad, K. and Ismail, K. (2016) Diabetes Mellitus and Oxidative Stress— A Concise Review. Saudi Pharmaceutical Journal, 24, 547-553.

[16]   World Health Organization (1998) Obesity: Preventing and Managing the Global Epidemic. WHO/NUT/98, Geneva.

[17]   Greving, J.P., Denig, P., De Zeeuw, D., Bilo, H.J. and Haaijer-Ruskamp, F.M. (2007) Trends in Hyperlipidemia and Hypertension Management in Type 2 Diabetes Patients from 1998-2004: A Longitudinal Observational Study. Cardiovascular Diabetology, 6, 25.
https://doi.org/10.1186/1475-2840-6-25

[18]   Chowdhury, M.A.B., Uddin, M.J., Khan, H.M. and Haque, M.R. (2015) Type 2 Diabetes and Its Correlates among Adults in Bangladesh: A Population Based Study. BMC Public Health, 15, 1070.
https://doi.org/10.1186/s12889-015-2413-y

[19]   Yaggi, H.K., Araujo, A.B. and McKinlay, J.B. (2006) Sleep Duration as a Risk Factor for the Development of Type 2 Diabetes. Diabetes Care, 29, 657-S661.
https://doi.org/10.2337/diacare.29.03.06.dc05-0879

[20]   Knutson, K.L., Ryden, A.M., Mander, B.A. and Van Cauter, E. (2006) Role of Sleep Duration and Quality in the Risk and Severity of Type 2 Diabetes Mellitus. Archives of Internal Medicine, 166, 1768-1774.
https://doi.org/10.1001/archinte.166.16.1768

[21]   Zhang, N., Du, S.M. and Ma, G.S. (2017) Current Lifestyle Factors That Increase Risk of T2DM in China. European Journal of Clinical Nutrition, 71, 832-838.
https://doi.org/10.1038/ejcn.2017.41

[22]   Hamilton, M.T., Hamilton, D.G. and Zderic, T.W. (2007) Role of Low Energy Expenditure and Sitting in Obesity, Metabolic Syndrome, Type 2 Diabetes, and Cardiovascular Disease. Diabetes, 56, 2655-2667.
https://doi.org/10.2337/db07-0882

[23]   Das, M., Pal, S. and Ghosh, A. (2012) Family history of Type 2 Diabetes and Prevalence of Metabolic Syndrome in Adult Asian Indians. Journal of Cardiovascular Disease Research, 3, 104-108.
https://doi.org/10.4103/0975-3583.95362

[24]   Dudzinska, W., Lubkowska, A., Jakubowska, K., Suska, M. and Skotnicka, E. (2013) Insulin Resistance Induced by Maximal Exercise Correlates with a Post-Exercise Increase in Uridine Concentration in the Blood of Healthy Young Men. Physiology Research, 62, 163-170.

[25]   Gray, B.J., Bracken, R.M., Turner, D., Morgan, K., Thomas, M., Williams, S.P., et al. (2015) Different Type 2 Diabetes Risk Assessments Predict Dissimilar Numbers at “High Risk”: A Retrospective Analysis of Diabetes Risk-Assessment Tools. The British Journal of General Practice, 65, e852-e860.
https://doi.org/10.3399/bjgp15X687661

 
 
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