Literature DB >> 21262538

Can onset and recovery in depression be predicted by temperament? A systematic review and meta-analysis.

Olli Kampman1, Outi Poutanen.   

Abstract

BACKGROUND: Behavioural inhibition and more specifically harm avoidance temperament dimension (HA) has been found to be associated with depression. Temperament and Character Inventory (TCI) by Cloninger et al. is the most widely used instrument in the assessment of temperament. The aims of the present study were to explore 1) if current or future depressive symptoms in non-clinical adult sample can be explained by TCI temperament dimensions, and 2) if recovery from major depression (MDD) during the acute phase of treatment is predictable by TCI temperament dimensions.
METHOD: Literature search from eight databases. Systematic review and meta-analysis.
RESULTS: High HA was associated with current depressive symptoms in 11/12 studies and with depressive trait in 3/4 studies. In MDD studies, a consistent negative change in HA was found during treatment and this change was even more clearly associated with treatment response. LIMITATIONS: The studies with general population samples were heterogeneous in methodology. Most of the intervention studies were of case-control design.
CONCLUSIONS: HA is indisputably associated with the risk and treatment response in depression.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21262538     DOI: 10.1016/j.jad.2010.12.021

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  39 in total

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Authors:  Maria Luca; Antonina Luca; Carmela Calandra
Journal:  Psychiatr Q       Date:  2012-09

2.  Spirituality and Its Relationship with Personality in Depressed People: Preliminary Findings.

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3.  Eating disorders and major depression: role of anger and personality.

Authors:  Abbate-Daga Giovanni; Gramaglia Carla; Marzola Enrica; Amianto Federico; Zuccolin Maria; Fassino Secondo
Journal:  Depress Res Treat       Date:  2011-10-02

4.  Temperament and character in euthymic major depressive disorder patients: the effect of previous suicide attempts and psychotic mood episodes.

Authors:  Okan Ekinci; Yakup Albayrak; Aslı Erkan Ekinci
Journal:  Psychiatry Investig       Date:  2012-04-30       Impact factor: 2.505

5.  Direct and indirect influences of childhood abuse on depression symptoms in patients with major depressive disorder.

Authors:  Yumi Hayashi; Yasumasa Okamoto; Koki Takagaki; Go Okada; Shigeru Toki; Takeshi Inoue; Hajime Tanabe; Makoto Kobayakawa; Shigeto Yamawaki
Journal:  BMC Psychiatry       Date:  2015-10-14       Impact factor: 3.630

6.  Predicting depression with psychopathology and temperament traits: the northern Finland 1966 birth cohort.

Authors:  Jouko Miettunen; Matti Isohanni; Tiina Paunio; Nelson Freimer; Anja Taanila; Jesper Ekelund; Marjo-Riitta Järvelin; Matti Joukamaa; Dirk Lichtermann; Heli Koivumaa-Honkanen; Juha Veijola
Journal:  Depress Res Treat       Date:  2012-08-16

7.  Personality traits as risk factors for treatment-resistant depression.

Authors:  Michio Takahashi; Yukihiko Shirayama; Katsumasa Muneoka; Masatoshi Suzuki; Koichi Sato; Kenji Hashimoto
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

8.  Personality change after Internet-delivered cognitive behavior therapy for depression.

Authors:  Robert Johansson; Caroline Lyssarides; Gerhard Andersson; Andréas Rousseau
Journal:  PeerJ       Date:  2013-02-19       Impact factor: 2.984

9.  The network structure of human personality according to the NEO-PI-R: matching network community structure to factor structure.

Authors:  Rutger Goekoop; Jaap G Goekoop; H Steven Scholte
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

10.  The endocannabinoid system in humans: significant associations between anandamide, brain function during reward feedback and a personality measure of reward dependence.

Authors:  Carolin Redlich; Andrea Dlugos; Matthew Nicholas Hill; Sachin Patel; Dominika Korn; Verena Enneking; Katharina Foerster; Volker Arolt; Katharina Domschke; Udo Dannlowski; Ronny Redlich
Journal:  Neuropsychopharmacology       Date:  2020-10-02       Impact factor: 8.294

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