The prediction of recovery using a multivariate model in 1471 depressed inpatients

Department of Psychiatry, University of Iowa College of Medicine, Iowa City 52242.
European Archives of Psychiatry and Clinical Neuroscience (Impact Factor: 3.53). 02/1991; 241(1):41-5. DOI: 10.1007/BF02193753
Source: PubMed


Stepwise multiple logistic regression was used in an attempt to develop a statistical model which would predict "recovery" in a group of 1471 depressives admitted to a tertiary care hospital. Six variables identified by this approach included: Electroconvulsive therapy, personality disorder, chronicity, anxiety disorder, organic mental disorder, and dysthymia. The meaning and significance of the findings are discussed.

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    • "Personality disorders and personality traits represent a major challenge to many professionals dealing with psychiatric patients. Personality disorders impact treatment for substance use disorders [1,2], and mood disorders [3-6], bipolar disorder [7], and increase the risk of violence and other crime [8], as well as increase the risk of family conflict [9]. "
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