Rosner, Rita and Frick, Ulrich and Beutler, Larry E. and Daldrup, Roger (1999) Course of depression in different psychotherapies - an application of hierarchical linear models. ZEITSCHRIFT FUR KLINISCHE PSYCHOLOGIE-FORSCHUNG UND PRAXIS, 28 (2). pp. 112-120. ISSN 0084-5345,
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Scope: While most psychotherapy research focuses on clinical outcome, fewer studies dealt with treatment course. In addition to content reasons, methodological problems seem to be a reason fur this deficit As longitudinal data often is difficult to handle, this study provides an example of how to analyze treatment course by means of hierarchical linear models. Data: The weekly Beck Depression Inventory scores of 63 unipolar depressive outpatients participating in a twenty session treatment course were analyzed Clients had been randomly assigned to one of three treatments: a) Cognitive-Behavioral therapy, b) Gestalt therapy and c) Supportive Self-directed Bibliotherapy. Depression courses were hypothesized to differ between the three treatments as well. as to depend on initial severity of depression, global functioning. and gender. Results: Severely depressed clients improved faster than less depressed clients, while gender and global functioning displayed no effect. Depression. courses. were not shown to differ between treatments on a global level. Adjusting for initial severity of depression depression revealed Cognitive-Behavioral psychotherapy to be better than Gestalt therapy among severely depressed patients, and both therapies to be better than Self-directed therapy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | COGNITIVE THERAPY; MOOD VARIABILITY; OLDER ADULTS; GROWTH CURVE; SEVERITY; PREDICTORS; depression; course of illness; psychotherapy; cognitive-behavior therapy; gestalt therapy; supportive self-directed therapy; hierarchical linear models; growth curve analysis |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 06 Dec 2022 08:00 |
| Last Modified: | 06 Dec 2022 08:00 |
| URI: | https://pred.uni-regensburg.de/id/eprint/48749 |
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