Socio-Demographic Factors Affecting Bipolar Disorder Patients: the Case of Butajira, Ethiopia

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Addis Abeba university


The purpose of this study is to identify socio-demographic factors affecting the bipolar disorder patients. The data included in this study are a cross sectional data collected by the Butajira mental health project. In this study, 828 psychiatric patients were included, of which 511(61.75%) belong to the non bipolar disorder symptom, 218(26.3%) belong to the moderate bipolar disorder symptom and 99(12%) belong to severe bipolar disorder symptom. In the analysis of data, polytomous logistic regression and multiple discriminant analysis are employed. It is found that place of residence, quality of life, marital status, number of children, and the interaction between residence and quality of life are significantly associated with the severity of bipolar disorder. The polytomous logistic regression provides higher percentage of correctly classifying psychiatric patients into no, moderate, and severe bipolar disorder symptom groups (61.7%) as compared to multiple discriminant analysis (50.8%). So that polytomous logistic regression is more efficient than that of multiple discriminant analysis in classifying of the psychiatric patients into the no, moderate and severe bipolar disorder symptom groups. This study identifies that the potential socio-demographic factors such as place of residence, quality of life, number of children, marital status, and age of the patients and the interaction between residence and quality of life affects bipolar disorder patients



Affecting Bipolar Disorder Patients