alexa Clinical Factors as Predictors of Depression in a Niger
ISSN: 2378-5756

Journal of Psychiatry
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Research Article

Clinical Factors as Predictors of Depression in a Nigerian Prison Population

Nwaopara Uche1* and Stanley Princewill2

1Federal Medical Center, Yenagoa, Bayelsa State, Nigeria

2University of Port Harcourt/ University of Port Harcourt Teaching Hospital, Nigeria

*Corresponding Author:
Uche Adolphus Nwaopara
Consultant, Federal Medical Center
Yenagoa, Bayelsa State, Nigeria
Tel: +2348069008876
E-mail: [email protected]

Received Date: November 10, 2015; Accepted Date: December 11, 2015; Published Date: December 18, 2015

Citation: Uche N, Princewill S (2015) Clinical Factors as Predictors of Depression in a Nigerian Prison Population. J Psychiatry 19:345 doi:10.4172/2378-5756.1000345

Copyright: © 2015 Uche N. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited



Background: Despite growing inmate populations in the Nigeria, inmates are excluded from most national health surveys and little is known about whether the prevalence of depression among the incarcerated is affected by clinical factors.
Aim: To investigate the clinical predictors of Depression in a Nigerian prison.
Methods: Through stratified random sampling, 400 prisoners were interviewed using the Depression component of WHO SCAN in a 2-stage design after screening with the BDI. SPSS Version 17, was used for analysis and test of significance was set at p<0.05.
Findings: 169 presented with depression using BDI. SCAN revealed a prevalence of 59(14.8%) for mild depression with somatic features, 57(14.2%) for moderate depression with somatic features, 25(6.2%) severe depression without psychotic features, while 18(4.5%) had severe depression with Psychotic features. Clinical factors that were statistically significant included retroviral status and past psychiatric history. Multiple Logistic regression analysis, however, revealed that the strongest predictors of depression among the subjects, past psychiatry history (OR: 0.19, CI=0.08-0.48, p=0.01)
Discussion: Several clinical factors were found to be significant. Untreated depression in the prisoners is an increasing public health problem, so interventions or alteration in these factors will lead to a reversal of this trend, improve mental health care in prisons and help reduce disease burden of depression.


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