Keller, Ferdinand and Spiess, Martin and Hautzinger, Martin (1996) Statistische und dynamische Prädikatoren für den Verlauf depressiver Erkrankungen: eine Auswertung mittels verallgemeinerter Schätzgleichungen = Static and dynamic predictors of the course of major depression: An analysis using generalized estimating equations. ZEITSCHRIFT FUR KLINISCHE PSYCHOLOGIE-FORSCHUNG UND PRAXIS, 25 (3). pp. 234-243. ISSN 0084-5345
Full text not available from this repository.Abstract
The present article examines the importance of static and variable predictors for the course of depression using the method of generalized estimating equations. This approach allows to analyze rime dependent panel data with qualitative response variables. The sample of 90 depressed inpatients was assessed at three points in time (admission, discharge and one year after discharge) using psychopathological variables (BDI, HAMD, LIFE) and life stress, The response variable is defined by the presence of a major depression according to DSM-III-R during intervals of three months. Results show that the BDI and the KAMD are significant in predicting relapse, while the number of previous depressive episodes is not. The influence of stressful life events and the total score of life stress taking place in the same quarterly interval is found to be significant as well. In a rime lagged analysis, the relevance of the stressful life events on symptomatology in the following quarterly interval disappears, while the total score remains to be significant. These results indicate the importance of concurrent stressful life events and discharge symptomatology on the course of depression.
| Item Type: | Article |
|---|---|
| Additional Information: | Band lag vor /gup |
| Uncontrolled Keywords: | LONGITUDINAL DATA-ANALYSIS; LIFE STRESS; UNIPOLAR DEPRESSION; SOCIAL RESOURCES; INVENTORY BDI; RELAPSE; DISORDERS; RECOVERY; OUTCOMES; EVENTS; depression; relapse; follow-up; generalized estimating equations |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Entpflichtete oder im Ruhestand befindliche Professoren > Lehrstuhl für Statistik (Prof. Dr. Alfred Hamerle) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 01 Jun 2023 10:58 |
| Last Modified: | 01 Jun 2023 10:58 |
| URI: | https://pred.uni-regensburg.de/id/eprint/52137 |
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