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A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression
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-demograp...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4711241/ https://www.ncbi.nlm.nih.gov/pubmed/26813699 http://dx.doi.org/10.4103/0019-5545.171842 |
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author | Nisha, A. Sathesh, V. Punnoose, Varghese P. Varghese, P. Joseph |
author_facet | Nisha, A. Sathesh, V. Punnoose, Varghese P. Varghese, P. Joseph |
author_sort | Nisha, A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4711241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47112412016-01-26 A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression Nisha, A. Sathesh, V. Punnoose, Varghese P. Varghese, P. Joseph Indian J Psychiatry Original Article 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. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4711241/ /pubmed/26813699 http://dx.doi.org/10.4103/0019-5545.171842 Text en Copyright: © Indian Journal of Psychiatry http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Nisha, A. Sathesh, V. Punnoose, Varghese P. Varghese, P. Joseph A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression |
title | A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression |
title_full | A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression |
title_fullStr | A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression |
title_full_unstemmed | A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression |
title_short | A comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression |
title_sort | comparative study on psycho-socio-demographic and clinical profile of patients with bipolar versus unipolar depression |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4711241/ https://www.ncbi.nlm.nih.gov/pubmed/26813699 http://dx.doi.org/10.4103/0019-5545.171842 |
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