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Dimensions in major depressive disorder and their relevance for treatment outcome
Open accessAbstract
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.
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“Furthermore, it was shown that anhedonia is a negative prognostic factor for treatment outcome both in adolescents (McMakin et al., 2012) and adults (Spijker et al., 2001; Vrieze et al., 2014).”
From Circuit Mechanisms of Reward, Anhedonia, and Depression (2019) · cites this paper as Vrieze et al., 2014
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Metadata
- Authors
- Vrieze, E., Demyttenaere, K., Bruffaerts, R., Hermans, D., Pizzagalli, D. A., Sienaert, P., Hompes, T., de Boer, P., Schmidt, M., & Claes, S.
- Affiliations
- Universitair Ziekenhuis Leuven (BE)
- KU Leuven (BE)
- Harvard University (US)
- Janssen (Belgium) (BE)
- Corresponding author
- Vrieze, Elske
- ORCID
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 155
- Pages
- 35-41
- ISSN
- 0165-0327 (ISSN-L)
- PMC
- PMC3932031
- OpenAlex
- W2102019801
- Cited by
- 138
- References
- 53
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 13 · 2023: 7 · 2022: 19 · 2021: 12 · 2020: 8 · 2019: 7 · 2018: 17 · 2017: 12 · 2016: 11 · 2015: 7 · 2014: 4
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Lirias (submittedVersion)
- Funders
- Johnson and Johnson
- National Institute of Mental Health (R01MH068376, R21MH078979, R01 MH68376)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- major depressive disorder, psychopathological dimensions, anhedonia, negative affect, psychomotor changes, treatment outcomes, treatment non-response, depression severity, hospitalized patients
- MeSH terms
- Adult, Affect, Major Depressive Disorder, Factor Analysis, Statistical, Female, Humans, Male, Middle Aged, Psychopathology, Regression Analysis, Severity of Illness Index, Treatment Outcome, Anhedonia
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