title: SCL-90-R symptom profile clusters among inpatients undergoing psychodynamic group psychotherapy: cluster stability, associations with clinical characteristics and treatment outcome.
abstract: OBJECTIVE
  Based on pretreatment psychopathological symptoms measured with the Symptom Checklist 90 Revised (SCL-90-R), this study investigated whether stable symptom clusters exist among psychotherapy inpatients. Furthermore, it was examined whether the identified clusters would differ with respect to clinical characteristics and treatment outcome.
  
  
  METHODS
  We collected data from a total of 3,688 psychotherapeutic inpatients involved in psychodynamic group psychotherapy from 10 hospitals. Ipsatized SCL-90-R presymptom data were used as input variables for a series of cluster analyses combining hierarchical (Ward algorithm) and non-hierarchical (k-means) procedures.
  
  
  RESULTS
  The cluster analyses revealed a 7-cluster solution with the following subgroups: (1) insecure-paranoid, (2) neutralizing, (3) phobic-anxious, (4) aggressive, (5) insecure-phobic, (6) somatizing, and (7) obsessive-depressive. Cross-validation with independent data sets, as well as alternative statistical procedures, confirmed the stability of the 7-cluster solution. Correlations with clinical diagnoses and interpersonal problems indicate the clinical relevance of the cluster differentiation. The cluster insecure-phobic proved to be less beneficial when used as a predictor of treatment outcome. Furthermore, we found moderator effects between cluster assignment and pretreatment interpersonal problems: the overall amount of interpersonal problems seemed to be detrimental to the patients from the clusters insecure-phobic and somatizing, whereas a relatively (ipsatized) heightened level of dominance was advantageous for improving psychopathological complaints of the patients from the cluster aggressive.
  
  
  CONCLUSIONS
  We could identify typical and clinically meaningful symptom clusters for the population of inpatients undergoing psychodynamic group psychotherapy in Germany. This finding could help strengthen clinical research which is led by the assumption that it is relevant to characterize patients by a specific pattern of psychopathological symptoms rather than or in addition to one (or more) distinct diagnostic categories.
authors.affiliation: Institute of Psychosocial Medicine and Psychotherapy, University Hospital, Friedrich Schiller University Jena, Jena, Germany. helmut.kirchmann@med.uni-jena.de
authors.forename: Helmut
authors.initials: H
authors.lastname: Kirchmann
authors.forename: Karin
authors.initials: K
authors.lastname: Schreiber-Willnow
authors.forename: Klaus-Peter
authors.initials: KP
authors.lastname: Seidler
authors.forename: Bernhard
authors.initials: B
authors.lastname: Strauss
mesh_terms: D000328:Adult; D000342:Affective Symptoms / Q000145:classification* / Q000175:diagnosis / Q000628:therapy*; D057189:Checklist; D016000:Cluster Analysis; D005260:Female; D005858:Germany; D006801:Humans; D007297:Inpatients / Q000523:psychology*; D008297:Male; D001523:Mental Disorders / Q000145:classification* / Q000175:diagnosis / Q000628:therapy*; D008875:Middle Aged; D011615:Psychotherapy, Group; D016896:Treatment Outcome