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

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 disorde...

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Veröffentlicht in:	European archives of psychiatry and clinical neuroscience 1991-01, Vol.241 (1), p.41-45
Hauptverfasser:	Black, D W, Goldstein, R B, Nasrallah, A, Winokur, G
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Antidepressive Agents - therapeutic use Bipolar Disorder - psychology Bipolar Disorder - therapy Chronic Disease Depressive Disorder - psychology Depressive Disorder - therapy Electroconvulsive Therapy Female Follow-Up Studies Humans Logistic Models Male Middle Aged Personality Disorders - psychology Personality Disorders - therapy Psychiatric Status Rating Scales Risk Factors
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Beschreibung
Zusammenfassung:	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.
ISSN:	0940-1334 1433-8491
DOI:	10.1007/BF02193753