Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-26T19:32:29.588Z Has data issue: false hasContentIssue false

Positive Beliefs about Rumination Are Associated with Ruminative Thinking and Affect in Daily Life: Evidence for a Metacognitive View on Depression

Published online by Cambridge University Press:  01 May 2013

Thomas Kubiak*
Affiliation:
Johannes Gutenberg University, Mainz, and University of Greifswald, Germany
Daniela Zahn
Affiliation:
Johannes Gutenberg University, Mainz, Germany
Kerstin Siewert
Affiliation:
University of Greifswald, Germany
Cornelia Jonas
Affiliation:
University of Greifswald, Germany
Hannelore Weber
Affiliation:
University of Greifswald, Germany
*
Reprint requests to Thomas Kubiak, Institute of Psychology, Health Psychology, Johannes Gutenberg University Mainz, Binger Str. 14-16, D-55099 Mainz, Germany. E-mail: [email protected]

Abstract

Background: Self-regulatory executive function theory (Wells and Matthews, 1994; Wells, 2008) stresses the role of metacognitions in the development of emotional disorders. Within this metacognitive model, positive beliefs about ruminative thinking are thought to be a risk factor for engaging in rumination and subsequently for depression. However, most of the existing research relies on retrospective self-report trait measures. Aims: The aim of the present study was to examine the theory's predictions with an Ecological Momentary Assessment approach capturing rumination as it occurs in daily life. Method: Non-clinical participants (N = 93) were equipped with electronic diaries and completed four signal-contingent momentary self-reports per day for 4 weeks. A multilevel mediation model was computed to examine associations between positive beliefs about rumination and ruminative thinking and negative affect in daily life. Results: Positive beliefs about rumination were significantly associated with ruminative thinking as it occurs in daily life. We further found evidence for a negative association with positive affect that was completely mediated via ruminative thinking in daily life occurring in response to negative emotions. Conclusions: Our results add ecologically valid corroborating evidence for the metacognitive model of emotional disorders within the framework of self-regulatory executive function theory.

Type
Research Article
Copyright
Copyright © British Association for Behavioural and Cognitive Psychotherapies 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ayduk, O. and Kross, E. (2009). Asking “why” from a distance facilitates emotional processing: a reanalysis of Wimalaweera and Moulds (2008). Behavior Research and Therapy, 47, 8892.Google Scholar
Barta, W. D., Tennen, H. and Litt, M. D. (2012). Measurement reactivity in diary research. In Mehl, M. and Conner, T. (Eds.), Handbook of Research Methods for Studying Daily Life (pp. 108123). New York: Guilford.Google Scholar
Bennett, H. and Wells, A. (2010). Metacognition, memory disorganization and rumination in posttraumatic stress symptoms. Journal of Anxiety Disorders, 24, 318325.Google Scholar
Conner, T. S. and Barrett, L. F. (2012). Trends in ambulatory self-report: the role of momentary experience in psychosomatic medicine. Psychosomatic Medicine, 74, 327337.CrossRefGoogle ScholarPubMed
Ehring, T., Fuchs, N. and Kläsener, I. (2009). The effects of experimentally induced rumination versus distraction on analogue posttraumatic stress symptoms. Behavior Therapy, 40, 403413.Google Scholar
Ehring, T. and Watkins, E. R. (2008). Repetitive negative thinking as a transdiagnostic process. International Journal of Cognitive Therapy, 1, 192205.Google Scholar
Ender, P. E. (2012). ml_mediation: mediation for multilevel data. UCLA Academic Technology Services Statistical Consulting Group. Retrieved from http://www.ats.ucla.edu/stat/stata/ado/analysis/.Google Scholar
Huffziger, S., Ebner-Priemer, U., Koudela, S., Reinhard, I. and Kuehner, C. (2012). Induced rumination in everyday life: advancing research approaches to study rumination. Personality and Individual Differences, 53, 790795.CrossRefGoogle Scholar
Kross, E., Ayduk, O. and Mischel, W. (2005). Distinguishing rumination from reflective processing of negative emotions. Psychological Science, 16, 709715.CrossRefGoogle ScholarPubMed
Krull, J. and MacKinnon, D. (2001). Multilevel modeling of individual and group level mediated effects. Multivariate Behavioral Research, 36, 249277.Google Scholar
Kubiak, T. and Krog, K. (2012). Computerized sampling of experiences and behavior. In Mehl, M. and Conner, T. (Eds.), Handbook of Research Methods for Studying Daily Life (pp. 124143). New York: Guilford.Google Scholar
Maria, A. S., Reichert, F., Hummel, S. B. and Ehring, T. (2012). Effects of rumination on intrusive memories: does processing mode matter? Journal of Behavior Therapy and Experimental Psychiatry, 43, 901909.Google Scholar
Martin, L. L. and Tesser, A. (1996). Some ruminative thoughts. In Wyer, R. S. (Ed.), Advances in Social Cognition (pp. 148). Hillsdale, NJ: Erlbaum.Google Scholar
Nezlek, J. B. and Gable, S. L. (2001). Depression as a moderator of relationships between positive daily events and day-to-day psychological adjustment. Personality and Social Psychology Bulletin, 27, 16921704.Google Scholar
Nolen-Hoeksema, S. and Morrow, J. (1993). Response styles and the duration of episodes of depressed mood. Journal of Abnormal Psychology, 102, 2028.Google Scholar
Nolen-Hoeksema, S., Wisco, B. and Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3, 400424.CrossRefGoogle ScholarPubMed
Papageorgiou, C. and Wells, A. (2001). Positive beliefs about depressive rumination: development and preliminary validation of a self-report scale. Behavior Therapy, 32, 1326.Google Scholar
Papageorgiou, C. and Wells, A. (2003). An empirical test of a clinical metacognitive model of rumination and depression. Cognitive Therapy and Research, 27, 261273.Google Scholar
Roelofs, J., Papageorgiou, C., Gerber, R. D., Huibers, M., Peeters, F. and Arntz, A. (2007). On the links between self-discrepancies, rumination, metacognitions and symptoms of depression in undergraduates. Behaviour Research and Therapy, 45, 12951305.Google Scholar
Roemer, L., Orsillo, S. M. and Barlow, D. H. (2004). Generalized anxiety disorder. In Barlow, D. H. (Ed.), Anxiety and its Disorders: the nature and treatment of anxiety and panic (pp. 477515). New York: Guilford.Google Scholar
Scherer, K. R., Wranik, T., Sangsue, J., Tran, V. and Scherer, U. (2004). Emotions in everyday life: probability of occurrence, risk factors, appraisals and reaction patterns. Social Science Information, 43, 499570.Google Scholar
Schwarz, N. (2007). Retrospective and concurrent self-reports: the rationale for real-time data capture. In Stone, A., Shiffman, S., Atienza, A. and Nebeling, L. (Eds.), The Science of Real-Time Data Capture: self-reports in health research (pp. 11–6). Oxford: Oxford University Press.Google Scholar
Shrout, P. E. and Lane, S. P. (2012). Psychometrics. In Mehl, M. R. and Conner, T. S. (Eds.), Handbook of Research Methods for Studying Daily Life (pp. 302320). New York: Guilford.Google Scholar
Siewert, K., Kubiak, T., Jonas, C. and Weber, H. (2011). Trait anger moderates the impact of anger-associated rumination on social well-being. Personality and Individual Differences, 51, 769774.Google Scholar
Snijders, T. and Bosker, R. (1999). Multilevel Analysis: an introduction to basic and advanced multilevel modeling. New York: Sage.Google Scholar
Steyer, R., Schwenkmezger, P., Notz, P. and Eid, M. (1997). Der Mehrdimensionale Befindlichkeitsbogen. [Multidimensional mood questionnaire]. Goettingen/Germany: Hogrefe.Google Scholar
Stone, A., Shiffman, S. and Atienza, A. (2007). The Science of Real-Time Data Capture: self-reports in health research. Oxford: Oxford University Press.Google Scholar
Thomsen, D. K. (2006). The association between rumination and negative affect: a review. Cognition and Emotion, 20, 12161235.Google Scholar
UCLA Academic Technology Services Statistical Consulting Group (2012). Multilevel Mediation. Retrieved from http://www.ats.ucla.edu/stat/stata/faq/ml_mediation.htm Google Scholar
van der Heiden, C., Muris, P. and van der Molen, H. T. (2012). Randomized controlled trial on the effectiveness of metacognitive therapy and intolerance-of-uncertainty therapy for generalized anxiety disorder. Behavior Research and Therapy, 50, 100109.Google Scholar
Watkins, E. R. (2008). Constructive and unconstructive repetitive thought. Psychological Bulletin, 134, 163206.Google Scholar
Wells, A. (2008). Metacognitive therapy: cognition applied to regulating cognition. Behavioural and Cognitive Psychotherapy, 36, 651658.CrossRefGoogle Scholar
Wells, A. and Carter, K. (2001). Further tests of a cognitive model of generalized anxiety disorder: metacognitions and worry in GAD, panic disorder, social phobia, depression and nonpatients. Behavior Therapy, 32, 85102.Google Scholar
Wells, A. and Matthews, G. (1994). Attention and Emotion: a clinical perspective. New York: Lawrence Erlbaum.Google Scholar
Wells, A. and Matthews, G. (1996). Modelling cognition in emotional disorder: the S-REF model. Behaviour Research and Therapy, 34, 881888.Google Scholar
Wells, A. and Papageorgiou, C. (2003). An empirical test of a clinical metacognitive model of rumination and depression. Cognitive Therapy and Research, 27, 261273.Google Scholar
Wells, A. and Papageorgiou, C. (2004). Metacognitive therapy for depressive rumination. In Papageorgiou, C. and Wells, A. (Eds.), Depressive Rumination: nature, theory and treatment (pp. 259273). New York: Wiley.Google Scholar
Wells, A., Welford, M., King, P., Papageorgiou, C., Wisely, J. and Mendel, E. (2010). A pilot randomized trial of metacognitive therapy vs applied relaxation in the treatment of adults with generalized anxiety disorder. Behavior Research and Therapy, 48, 429434.CrossRefGoogle ScholarPubMed
Wilhelm, P. and Schoebi, D. (2007). Assessing mood in daily life: structural validity, sensitivity to change and reliability of a short-scale to measure three basic dimensions of mood. European Journal of Psychological Assessment, 23, 258267.Google Scholar
Yılmaz, A. E., Gençöz, T. and Wells, A. (2011). The temporal precedence of metacognition in the development of anxiety and depression symptoms in the context of life-stress: a prospective study. Journal of Anxiety Disorders, 25, 389396.Google Scholar
Submit a response

Comments

No Comments have been published for this article.