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Objective: Genetic and neurobiological factors are considered to be the major causes of major depressive disorder MDD. However, over last few years study results revealed that socio-demographic factors contribute a significant role in abnormal functional activity and recognized as major causative factors to the pathogenesis and severity of MDD. The aim of this study was to assess the socio-demographic characteristics of Bangladeshi MDD patients and to discover their role on the severity of disease. Material and Methods: A retrospective review of the case notes of psychiatry outpatients at Bangabandhu Sheikh Mujib Medical University BSMMU was carried out between Sep-Nov 2016. A total of 234 MDD patients aged 18 to 60 years were randomly recruited. Relevant information was obtained by collection of prescription details from the patients or their relatives by face to face interview. Results: Mean age and body mass index BMI were found 34.734 years SEM ± 0.842 and 22.014 kg-m2 respectively. Among all respondents, 56% 133 were male and 44% 106 were female where mean income was 26.84 KBDT Kilo Bangladeshi Taka SEM ± 0.749. Roughly 46% 111 patients were found to be below secondary level of education. Married people 56% had a tendency to develop depression compare to unmarried people 36%. Urban residents 64% are more prone to suffer from depression than rural residents 36%. There was mild depression in 28% 68, moderate in 37% 157, and severe in 14% 34 patients. Correlation analysis shows that age, sex, marital status, education, family income, and area of residence p-values 0.004, 0.001, 0.000, 0.011, 0.000 and 0.000, respectively are associated with the severity of disease. Moreover, among all significant correlations age, marital status and area of residence were positively correlated with the severity of MDD r = 0.184, r = 0.238 and r = 0.256 while sex, education and family income were negatively correlated with the severity of depression r = ﹣0.207, r = ﹣0.164 and r = ﹣0.722. Conclusion: Current study shows that age, gender, marital status, education, family income, and area of residence are associated with the severity of depression. Age, marital status and residence of MDD patients are positively correlated with the severity of disease while gender, education and family income are negatively correlated with the severity of depression. It is predicted that this study will be helpful for the management and assortment of MDD patients with more accuracy based on their socio-demographic features.

KEYWORDS

Socio-Demographic Factors, Correlation, Severity, Major Depressive Disorder, Bangladesh

Cite this paper

Islam, M. and Adnan, R. 2017 Socio-Demographic Factors and Their Correlation with the Severity of Major Depressive Disorder: A Population Based Study. World Journal of Neuroscience, 7, 193-202. doi: 10.4236-wjns.2017.72014.





Author: Md. Rabiul Islam1*, Rubyeat Adnan2

Source: http://www.scirp.org/



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