Dimensions in major depressive disorder and their relevance for treatment outcome

详细信息    查看全文

• 作者：Elske Vrieze ; Koen Demyttenaere ; Ronny Bruffaerts ; Dirk Hermans ; Diego A. Pizzagalli ; Pascal Sienaert ; Titia Hompes ; Peter de Boer ; Mark Schmidt ; Stephan Claes
• 关键词：Major depressive disorder ; Factor analysis ; Anhedonia ; Stress ; Outcome
• 刊名：Journal of Affective Disorders
• 出版年：February, 2014
• 年：2014
• 卷：155
• 期：Complete
• 页码：35-41
• 全文大小：420 K

文摘

Background

Major depressive disorder (MDD) is a heterogeneous disease. More homogeneous psycho(patho)logical dimensions would facilitate MDD research as well as clinical practice. The first aim of this study was to find potential dimensions within a broad psychopathological assessment in depressed patients. Second, we aimed at examining how these dimensions predicted course in MDD.

Methods

Ten psychopathological variables were assessed in 75 MDD inpatients. Factor and regression analyses assessed putative relations between psychopathological factors and depression severity and outcome after 8 weeks of treatment.

Results

A 3-factor model (eigenvalue: 54.4%) was found, representing a psychomotor change, anhedonia and negative affect factor. Anhedonia and negative affect predicted depression severity (R²=0.37, F=20.86, p<0.0001). Anhedonia predicted non-response (OR 6.00, CI 1.46-24.59) and both negative affect (OR 5.69, CI 1.19-27.20) and anhedonia predicted non-remission (OR 9.28, CI 1.85-46.51).

Limitations

The sample size of the study was relatively modest, limiting the number of variables included in the analysis.

Conclusions

Results confirm that psychomotor change, anhedonia and negative affect are key MDD dimensions, two of which are related to treatment outcome.