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Cited by 134Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesTreatment of Major DepressionMental Health Research Topics

Does emotion predict the course of major depressive disorder? A review of prospective studies

Morris, Bethany H., Bylsma, Lauren M., Rottenberg, Jonathan·2009·British Journal of Clinical Psychology
DOI 10.1348/014466508x396549
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Abstract

Purpose. Emotional dysfunction is a hallmark of major depressive disorder (MDD). There has been wide interest in identifying the nature and significance of emotional deficits in MDD. Given the paramount goal of identifying etiological markers of MDD that can sharpen prevention and treatment efforts, researchers have pursued emotion as a functionally significant factor and predictor of clinical course in MDD. This review is the first to summarize the literature examining emotion as a predictor of the clinical course of MDD. Method. We conducted a systematic review of all published studies reporting on the prospective relationship between positive and negative emotionality (PE and NE) – measured at the state or trait level – and the longitudinal course of MDD in diagnosed adults. Physiological, behavioural, and subjective indices of emotion were considered. The primary analyses encompassed 28 research reports that included data from 3,798 participants and tested a total of 60 hypotheses. Results. Lower levels of PE predicted poorer MDD course with some consistency. Paradoxically, both lower levels of state NE and higher levels of trait NE predicted poorer MDD course. The relationships between emotionality and MDD course generally held even after initial depression symptom severity was taken into account. Conclusion. Emotion shows promise as a predictor of MDD course. Implications of these data for current theories of emotion and MDD, the apparently divergent relation between state and trait NE and course, and future directions to further clarify the functional significance of emotion in the context of MDD are discussed.

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  • Self-reported anhedonia is a strong predictor of subsequent increases in depression severity.

    “Importantly, these alterations in reward processing precede and potentially contribute to the etiology of depression in at-risk groups (Gotlib et al., 2010), and number of prospective studies have shown that self-reported anhedonia (less frequent and intense positive affect) is a strong predictor of subsequent increases in depression severity (Morris et al., 2009).”

    From The role of inflammation in core features of depression: Insights from paradigms using exogenously-induced inflammation. (2018) · cites this paper as Morris et al., 2009

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Authors
Morris, B. H., Bylsma, L. M., & Rottenberg, J.
Affiliations
University of South Florida (US)
Corresponding author
Rottenberg, Jonathan
ORCID
Venue
British Journal of Clinical Psychology
Publisher
Wiley
Published
2009-09
Volume
48
Issue
3
Pages
255-273
ISSN
  • 0144-6657 (ISSN-L)
  • 2044-8260
DOI
10.1348/014466508x396549
OpenAlex
W1980099020
Cited by
134
References
105
Citations by year
2026: 9 · 2025: 9 · 2024: 6 · 2023: 14 · 2022: 23 · 2021: 9 · 2020: 7 · 2019: 6 · 2018: 7 · 2017: 5 · 2016: 5 · 2015: 11 · 2014: 2 · 2013: 4 · 2012: 9
FWCI
0.84
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 577 d)
Locations
  • British Journal of Clinical Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Digital Commons - University of South Florida (University of South Florida) (submittedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
major depressive disorder, clinical course, positive affectivity, negative affectivity, emotional dysfunction
MeSH terms
Adult, Affective Symptoms, Depression, Major Depressive Disorder, Emotions, Humans, Longitudinal Studies, Patient Acceptance of Health Care, Personality Assessment, Prognosis, Prospective Studies

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