Dimensions in major depressive disorder and their relevance for treatment outcome
- PMID: 24210628
- PMCID: PMC3932031
- DOI: 10.1016/j.jad.2013.10.020
Dimensions in major depressive disorder and their relevance for treatment outcome
Abstract
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 (R(2)=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.
Keywords: Anhedonia; Factor analysis; Major depressive disorder; Outcome; Stress.
© 2013 Published by Elsevier B.V.
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References
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- American Psychiatric Association (A.P.A.) Diagnostic and Statistical Manual of Mental Disorders. 4th. American Psychiatric Association; Washington, DC: 1994. Revised.
-
- Burke HM, Davis MC, Otte C, Mohr DC. Depression and cortisol responses to psychological stress: a meta-analysis. Psychoneuroendocrinology. 2005;30(9):846–56. - PubMed
-
- Carragher N, Adamson G, Bunting B, McCann S. Subtypes of depression in a nationally representative sample. J. Affect. Disord. 2009;113(1-2):88–99. - PubMed
-
- Chen L, Eaton WW, Gallo JJ, Nestadt G. Understanding the heterogeneity of depression through the triad of symptoms, course and risk factors: a longitudinal, population-based study. J. Affect. Disord. 2000;59(1):1–11. - PubMed
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