Rumination is a robust vulnerability to depression and potential treatment target. However, we know relatively little about rumination in daily life. This study tested the validity of a new approach for assessing daily episodes of rumination, the Day Reconstruction Method for Rumination (DRM-R). Participants ( = 127) who were either high or low in neuroticism completed baseline self-report measures (e.g., depression, trait rumination). Next, they completed the DRM-R by reconstructing the previous day into a series of "scenes," identifying discrete episodes of rumination, and responding to follow-up items about each episode. 78.6% of high neuroticism participants reported experiencing discrete periods of rumination, 80.0% reported constant ruminative thoughts in the back of their heads, and 68.6% reported ruminative thoughts of fluctuating intensity. Time spent ruminating was moderately correlated with trait measures of rumination and worry. Findings provide preliminary evidence that the DRM-R is a valid method for assessing discrete episodes of rumination in daily life. The DRM-R may reveal, ideographically, the relationship between specific thought content and features of ruminative episodes (e.g., length, frequency). Further research is needed to establish whether the DRM-R can detect changes in rumination across multiple days and how it corresponds with traditional daily diary methods and ecological momentary assessment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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http://dx.doi.org/10.1037/pas0001282 | DOI Listing |
J Affect Disord
January 2025
Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq. Electronic address:
Background: A recent study conducted by the laboratory of the first author revealed that major depression is composed of two distinct subtypes: major dysmood disorder (MDMD) and simple dysmood disorder (SDMD). The latter is a less severe phenotype with fewer aberrant biological pathways. MDMD, but not SDMD, patients were identified to have highly sensitized cytokine/growth factor networks using stimulated whole blood cultures.
View Article and Find Full Text PDFPsychol Addict Behav
January 2025
Department of Psychology and Neuroscience, Dalhousie University.
Objective: We examined whether hangover-related rumination-repeatedly dwelling on negative aspects of yesterday's drinking while hungover the following morning-predicts changes in three dimensions of heavy episodic drinking (HED) over time.
Method: = 334 emerging adults (aged 19-29) from three Eastern Canadian universities who had recently experienced a hangover completed online self-report questionnaires at baseline (Wave 1) and 30 days later (Wave 2; 71.6% retention).
Psychol Med
January 2025
Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA.
Background: Late-life depression (LLD) is characterized by repeated recurrent depressive episodes even with maintenance treatment. It is unclear what clinical and cognitive phenotypic characteristics present during remission predict future recurrence.
Methods: Participants (135 with remitted LLD and 69 comparison subjects across three institutions) completed baseline phenotyping, including psychiatric, medical, and social history, psychiatric symptom and personality trait assessment, and neuropsychological testing.
BMJ Open
November 2024
Orygen, Parkville, Victoria, Australia.
J Am Acad Child Adolesc Psychiatry
November 2024
University of Illinois-Urbana Champaign, Champaign, Illinois.
Objective: Although many factors predict adolescent depression, risks that operate as necessary conditions (ie, absence of the factor conveys absence of the outcome) have been largely unexplored. This study aimed to evaluate which psychosocial risk factors might serve as necessary conditions for future onset of depression across adolescence.
Method: At baseline, cognitive and personality risks, symptom severity, stressful events, and past depression history were assessed among 382 adolescents (225 girls; mean age = 12.
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