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

Depression Electroconvulsive therapy Dysthymia Personality disorder Anxiety disorder

Copyright information

© Springer-Verlag 1991