European Archives of Psychiatry and Clinical Neuroscience

, Volume 241, Issue 1, pp 41–45

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

Authors

  • Donald W. Black
    • Department of PsychiatryUniversity of Iowa College of Medicine
  • Rise B. Goldstein
    • Department of PsychiatryUniversity of Iowa College of Medicine
  • Amelia Nasrallah
    • Department of PsychiatryUniversity of Iowa College of Medicine
  • George Winokur
    • Department of PsychiatryUniversity of Iowa College of Medicine
Original Articles

DOI: 10.1007/BF02193753

Cite this article as:
Black, D.W., Goldstein, R.B., Nasrallah, A. et al. Eur Arch Psychiatry Clin Nuerosci (1991) 241: 41. doi:10.1007/BF02193753

Summary

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.

Key words

DepressionElectroconvulsive therapyDysthymiaPersonality disorderAnxiety disorder

Copyright information

© Springer-Verlag 1991