Volume 4, Issue 3, September 2019, Page: 35-43
Discriminating Bangladeshi Adults by Non-communicable Diseases
Bhuiyan Dipan, Department of Emergency, IRIS Multi-Specialty Hospital, Kolkata, India
Bhuyan Keshab Chandra, Department of Statistics, Jahangirnagar University, Dhaka, Bangladesh
Received: Oct. 7, 2019;       Accepted: Oct. 28, 2019;       Published: Oct. 31, 2019
DOI: 10.11648/j.rs.20190403.11      View  512      Downloads  64
In medical science, non-communicable diseases are non-infectious and non-transmissible diseases which, mainly, depend on lifestyles and socioeconomic factors and these diseases kill more people annually in low and middle income countries. Bangladesh is now a middle income country and half of annual mortality and almost half of the burden of diseases in Bangladesh are for NCDs. In this paper, attempt was made to identify the factors responsible for different types of NCDs among Bangladeshi adults. For the purpose, 808 adults were investigated and observed that 49.6 percent of them were suffering from one or more of the NCDs and 27.7 percent were exclusively suffering from diabetes. But percentage of diabetic adults was 40.7 as another 13.0 percent were suffering from multiple diseases including diabetes. A big group of (42.9%) diabetic patients were overweight and obese and 45.3 percent were physically inactive and they were involved in sedentary activities. The important factors which discriminated adults of different diseases were age, marital status, body mass index, occupation, smoking habit, utilization of time, habit of taking restaurant and can food. This fact was detected by discriminant analysis.
Prevalence of NCDs, Socioeconomic Factors, Risk Ratio, Discriminant Analysis
To cite this article
Bhuiyan Dipan, Bhuyan Keshab Chandra, Discriminating Bangladeshi Adults by Non-communicable Diseases, Rehabilitation Science. Vol. 4, No. 3, 2019, pp. 35-43. doi: 10.11648/j.rs.20190403.11
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United Nations (2014): Non-communicable diseases Deemed Development Challenge of Epidemic Proportions in Political Declaration adopted during Landmark General Assembly Summit, United Nations, Department of public Health.
WHO: Fact sheets / detail / obesity-and-overweight (2018); February, 2018, http//www.who.int /news-room.
WHO (2005): Preventing chronic Diseases a Vital Investment, Cataloging-in-Publication Data, World Health Organization, 2005.
Md. Mortuza, A.; Bhuyan, K. C. and Fardus, F. (2018): A study on identification of socioeconomic variables associated with no-communicable diseases among Bangladeshi adults, AASCIT, 4 (3), 24–29; http://www.aascit.org.journal/ajbse.
Karar, Z. A.; Alam, N.; Streatfield, P. K. (2009): Epidemiological transition in rural Bangladesh, Global Health Action 19, 2. doi: 10.3402/gha.V2io,1904.
Zhang, Q. L.; Rothenbacher, D. (2008): Prevalence of kidney disease in population-based studies: Systematic review, BMC Public Health 8, 117. doi: 10.1186/1471-2458-8-117.
WHO (2018): Chronic Respiratory Diseases, World Health Organization, Retrieved 2018-10-31.
WHO (2018): About Chronic Respiratory diseases, World Health Organization, Retrieved 2018-10-31.
WHO (2007): Impact of tobacco related illness in Banglades, New Delhi, World Health Organization.
International Diabetes Federation (2011): Country estimates table, IDF diabetes atlas, 6th edition.
Saquib, N.; Saquib, J.; Ahmed, T,; Khanam, M. A.; Cullen, M. R. (2012): Cardiovascular diseases and type II diabetes in Bangladesh: a systematic review ant meta- analysis of studies between 1995-2010, BMC Public Health, 12, 434.
Bhuyan, K. C.; Ahmed, Md. M. and Fardus, J. (2017): Socioeconomic factors associated with overweight an obesity: A case study among adult people of Bangladesh, AJSE, 16 (2), 119-124.
Bhuyan, K. C.; Fardus, J. and Khanam, M. (2016): Discriminating the students of universities by their smoking habit, AJSE, 15 (1).
Bhuyan, K. C. and Fardus, J. (2019): Level of obesity and socioeconomic factors of a group of adult people of Bangladesh: A factor analysis approach, Amer, Jour. Data Mining and Knowledge Discovery, 4 (1), 8-14, doi: 10.11648/j.ajdmkd.20190401.12.
Fardus, J. and Bhuyan, K. C. (2016): Discriminating diabetic patients of some rural and urban areas of Bangladesh: A discriminant analysis approach, Euromediterrean Bio. Jour. 11 (9), 134-140.
Skliros, E. A.; Markoures, P. Sotiropoulas, A.; et al (2008): The relationship between body mass index and hypertension in elderly Greeks: the Nemea Primary Care Study. Jour. Amer. Geriatric Soc. 56 (5), 379-385.
Bertino, B.; Ardiri, A. M.; Ali, F. T, Boemi, P. M.; Cilio, D. et al (2006): Obesity and related diseases: an epidemiological study in Eastern Sicily, Minerva Gastroenterol Dietol, 5 (40), 379-385.
Calamusa, G.; Amodio, E.; Costantino, C.; Maria, D. Pasquate.; Gelsomino, V.; Morici, M.; Palmeri, A.; Termini, S.; Firenze, A.; Massenti, F. M. and Vitale, F. (2012): Body mass index and factors associated with overweight and obesity: a cross-sectional study of adult subjects living in a small city of Western Sicily (Italy), Italian Jour. Pub. Health, 9 (3), e7539. doi: 10.2427/7539.
Besen- Engquist, K. and Chang, M. (2011): Obesity and cancer risk: recent review and evidence, Currr. Onclo Rep. 13 (1), 71- 76.
Mokdad, A. H.; Ford, E. S.; Bowman, B. A.; Dietz, W. H.; Vinicor, F.; Bales, V. S. et al (2003): Prevalence of obesity, diabetes, and obesity-related health risk factors 2001, JAMA, 289, 76-79.
Akter, S.; Rahaman, M. M.; Sarah, K. A.; and Sultan, P. (2014): Prevalence of diabetes and pre-diabetes and their risk factors among Bangladeshi adults: A Nationwide survey, Bulletin of the WHO, 92, 204-213 A.
Paymane, A. and Miranda, P. (2018): Images of measurements of obesity, BMJ, 360. doi: https//doi.org/10.1136/methodbmj.k.1274.
Syed, M. S.; Debra, N.; Muhammad, H. R.; Musa, R. and Gul, N. (2004): Assessing obesity and overweight in a high mountain Pakistani population, Tropical Medicine and International Health, 9 (4), 526-532.
Bhuyan, K. C (2019): A note on the application of discriminant analysis in medical research, Archives of Diabetes and Obesity, 2 (2), 142-146.
Bhuyan, K. C.; Mortuza MD, A. and Jannatul, F. (2018): Discriminating patients suffering from non-communicable diseases: A case study among Bangladeshi adults, Biomed. J. Sci. & Tech. 10 (1), DOI: 10.26717/BJSRR.2018.10.001898.
Rabi, D. M.; Edwards, A. L.; Southern, D. A,; Svension, L. W.; Sargious, P. N.; Norton, P; Larsen, E. T. and Ghali, W. A. (2006): Association of socioeconomic status and risk of diabetes related mortality with diabetes prevalence and utilization diabetes care services, BMC Public Health Services Research, 6, 124.
Hussain, A; Rahim, M. A.; Azad, Khan, A. K.; Ali, S. M.; Vaater, S. (2005): Type II diabetes in rural and urban population: diverse prevalence and associated risk factors in Bangladesh, Diabet Med, 22, 931-936.
Andy, K. (2019): The majority of truk drivers are obese and smoke, Business Insider, CDC. Niosh and Federal Motor Carrier Safety Administration.
Ramchandran, A; Snehalata, C.; Shetty, A. S. and Nandita, A. (2012): Trends in prevalence of diabetes in Asian countries, World Diabetes, 3 (66), 110-117.
Prakashchandra, R. D. and Naido, D. P. (2016): Glycemic control profile in diabetes patients: A sub-analysis of the phoenix lifestyle project. Euromediterranean Biomedical Journal, 11 (05), 33-39.
Pamel, A. J. and Jennifer, W. (2018): Introduction: Non-communicable diseases prevention policies in six African countries.
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