Cognitive and affective trait and state factors influencing the long-term symptom course in remitted depressed patients

• Verfasst von: Timm, Christina [VerfasserIn]
• Verfasst von: Kirsch, Peter [VerfasserIn]
• Verfasst von: Kühner, Christine [VerfasserIn]
• Titel: Cognitive and affective trait and state factors influencing the long-term symptom course in remitted depressed patients
• Verf.angabe: Christina Timm, Bettina Ubl, Vera Zamoscik, Ulrich Ebner-Priemer, Iris Reinhard, Silke Huffziger, Peter Kirsch, Christine Kuehner
• E-Jahr: 2017
• Jahr: June 2, 2017
• Umfang: 16 S.
• Fussnoten: Gesehen am 05.07.2018
• Titel Quelle: Enthalten in: PLOS ONE
• Ort Quelle: San Francisco, California, US : PLOS, 2006
• Jahr Quelle: 2017
• Band/Heft Quelle: 12(2017,6) Artikel-Nummer e0178759, 16 Seiten
• ISSN Quelle: 1932-6203
• DOI: doi:10.1371/journal.pone.0178759
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Cognition
• Sach-SW: Functional magnetic resonance imaging
• Sach-SW: Depression
• Sach-SW: Cognitive psychology
• Sach-SW: Emotions
• Sach-SW: Longitudinal studies
• Sach-SW: Psychological stress
• Sach-SW: Walking
• K10plus-PPN: 1577307763

Abstract

Background Major depressive disorder (MDD) is characterized by a high risk for relapses and chronic developments. Clinical characteristics such as residual symptoms have been shown to negatively affect the long-term course of MDD. However, it is unclear so far how trait repetitive negative thinking (RNT) as well as cognitive and affective momentary states, the latter experienced during daily-life, affect the long-term course of MDD. Method We followed up 57 remitted depressed (rMDD) individuals six (T2) and 36 (T3) months after baseline. Clinical outcomes were time to relapse, time spent with significant symptoms as a marker of chronicity, and levels of depressive symptoms at T2 and T3. Predictors assessed at baseline included residual symptoms and trait RNT. Furthermore, momentary daily life affect and momentary rumination, and their variation over the day were assessed at baseline using ambulatory assessment (AA). Results In multiple models, residual symptoms and instability of daily-life affect at baseline independently predicted a faster time to relapse, while chronicity was significantly predicted by trait RNT. Multilevel models revealed that depressive symptom levels during follow-up were predicted by baseline residual symptom levels and by instability of daily-life rumination. Both instability features were linked to a higher number of anamnestic MDD episodes. Conclusions Our findings indicate that trait RNT, but also affective and cognitive processes during daily life impact the longer-term course of MDD. Future longitudinal research on the role of respective AA-phenotypes as potential transdiagnostic course-modifiers is warranted.