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ORIGINAL ARTICLE
Year : 2015  |  Volume : 57  |  Issue : 4  |  Page : 392-396

A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression


1 Department of Psychiatry, MOSC Medical College, Kolenchery, Ernakulam, Kerala, India
2 Department of Psychiatry, T D Medical College, Alappuzha, Kerala, India
3 Department of Psychiatry, Government Medical College, Kottayam, Kerala, India

Correspondence Address:
A Nisha
Department of Psychiatry, MOSC Medical College, Kolenchery, Ernakulam - 682 311, Kerala
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0019-5545.171842

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Background: Several studies have revealed significant differences between bipolar (BP) and unipolar depression (UP). Misdiagnosing BP depression results in suboptimal symptom resolution, induction of manic switch, mixed state, or accelerated cycling. This study compares various psycho-socio-demographic, longitudinal course, and phenomenological factors associated with BP and UP depression. Materials and Methods: We compared 30 UP and 30 BP depression patients using a specially designed intake proforma, International Classification of Diseases-10 diagnostic criteria for research, Hamilton Rating Scale for Depression-21 (HAMD-21), Hypomania Checklist-32 Questionnaire (HCL-32), Brief psychiatric rating scale (BPRS), and Kuppuswami's socioeconomic status scale. Results: BP depression group consisted of mostly males, with earlier age of onset of illness, longer illness duration, frequent episodes, hospitalizations and psychotic symptoms. The total HAM-D score and 4 HAM-D item scores–psychomotor retardation, insight, diurnal variation of symptoms and its severity, and paranoid symptoms were significantly higher in this group. Binary logistic regression identified the age of onset, the total duration of illness, frequency of affective episodes, and presence of delusions as predictors of bipolarity (odds ratio = 1.327; 1.517; 0.062; 0.137). Conclusions: Identification of clinical markers of bipolarity from large scale prospective studies is needed.



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