Skip to main content
Mijn bibliotheek
Ga naar:
Nieuws Boeken Tijdschriften Toetsvragen Web-tv Video Audio
Tips voor Mijn BSL
BSL Shop
Inloggen

Welkom bij Erasmus MC & Bohn Stafleu van Loghum

Erasmus MC heeft ervoor gezorgd dat je Mijn BSL eenvoudig en snel kunt raadplegen. Je kunt je links eenvoudig registreren. Met deze gegevens kun je thuis, of waar ook ter wereld toegang krijgen tot Mijn BSL.

» Andere revante producten voor Erasmus MC studenten en medewerkers.

Registreer

Om ook buiten de locaties van Erasmus MC, thuis bijvoorbeeld, van Mijn BSL gebruik te kunnen maken, moet je jezelf eenmalig registreren. Dit kan alleen vanaf een computer op een van de locaties van Erasmus MC.

Eenmaal geregistreerd kun je thuis of waar ook ter wereld onbeperkt toegang krijgen tot Mijn BSL.

Login

Als u al geregistreerd bent, hoeft u alleen maar in te loggen om onbeperkt toegang te krijgen tot Mijn BSL.

Inloggen
Top
Cognitive Therapy and Research
Gepubliceerd in:

22-11-2024 | Original Article

Evaluating Theories of Repetitive Negative Thinking: Replication and Extension

Auteurs: Gerly Tamm, Ernst H. W. Koster, Kristof Hoorelbeke

Gepubliceerd in: Cognitive Therapy and Research | Uitgave 1/2025

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Background

Rumination plays a major role in various forms of psychopathology. In a recent study, we tested the main predictions of the key processes that drive rumination from major metacognitive and self-regulation theories of rumination by using a data-driven network analytical approach. This study aimed to replicate these findings and extend the approach to worry.

Methods

The study followed the original procedures. Participants were recruited from Academic Prolific (n = 500, 241 men and 257 women, age range 18–85).

Results

The current study largely replicated the original findings. The regularized partial correlation network for rumination did not significantly differ from the one obtained in the original study in terms of network structure (network structure invariance: M = 0.16, p < .96) and level of connectivity (global strength invariance: S = 0.235, p < .69). Bayesian network analysis replicated the main results from the first study: positive beliefs about rumination, cognitive self-consciousness, and effortful control were directly linked to rumination. Moreover, we found potential causal links from depression and perfectionism to rumination. We applied a similar approach to explore the mechanisms behind worry. The results suggest a moderate correlation between worry and rumination (r = .68, p < .05) and some specificity to the mechanisms governing worry.

Conclusions

There are multiple cognitive factors that are directly linked to rumination and worry. This study is the first to replicate an integrated network that captures the cognitive building blocks of rumination, and to test its extension to worry. These findings provide empirical proof for the reliability of the rumination network and support the integrative theories of rumination and related psychopathology.
vorige artikel Relapse prevention following guided self-help for common health problems: A Scoping Review
volgende artikel Understanding Biased Expectation Change in Depression – The Influence of State Affect and Affect Regulation
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Voetnoten
1
Three check items were used. (1) “Please select the smallest number “: 1 or 2 or 3 or 4 or 5, (2) “Please select the second option (starting from the left or from the top, depending on the display)“: 1, 2, 3, 4, (3) “Please select a fruit “: box, bread, cat, dog, boat, car, house, apple. These were presented at the end of the questionnaires, never between items within a questionnaire. These were used to validate the responses, to make sure that the participants were paying attention to the questions.
 
Literatuur
Baker, M. (2016). Reproducibility crisis. Nature, 533(26), 353–366.
Borkovec, T. D., Robinson, E., Pruzinsky, T., & DePree, J. A. (1983). Preliminary exploration of worry: Some characteristics and processes. Behaviour Research and Therapy, 21(1), 9–16.PubMed
Borsboom, D., Robinaugh, D. J., Group, T. P., Rhemtulla, M., & Cramer, A. O. (2018). Robustness and replicability of psychopathology networks. World Psychiatry, 17(2), 143.PubMedPubMedCentral
Borsboom, D., & Cramer, A. O. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121.PubMed
Briganti, G. (2022). On the use of Bayesian artificial intelligence for hypothesis generation in psychiatry. Psychiatria Danubina, 34(8), 201–206.PubMed
Briganti, G., Scutari, M., & McNally, R. J. (2023). A tutorial on bayesian networks for psychopathology researchers. Psychological Methods, 28(4), 947.PubMed
Bringmann, L. F., Albers, C., Bockting, C., Borsboom, D., Ceulemans, E., Cramer, A., Epskamp, S., Eronen, M. I., Hamaker, E., Kuppens, P., Lutz, W., McNally, R. J., Molenaar, P., Tio, P., Voelkle, M. C., & Wichers, M. (2022). Psychopathological networks: Theory, methods and practice. Behaviour Research and Therapy, 149, 104011.
Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., Wigman, J. T. W., & Snippe, E. (2019). What do centrality measures measure in psychological networks? Journal of Abnormal Psychology, 128(8), 892.
Burgess, A. M., Frost, R. O., & DiBartolo, P. M. (2016). Development and validation of the frost multidimensional perfectionism scale–brief. Journal of Psychoeducational Assessment, 34(7), 620–633.
Cartwright-Hatton, S., & Wells, A. (1997). Beliefs about worry and intrusions: The Meta-Cognitions Questionnaire and its correlates. Journal of Anxiety Disorders, 11(3), 279–296.PubMed
Colombo, D., & Maathuis, M. H. (2014). Order-independent constraint-based causal structure learning. Journal of Machine Learning Research, 15(1), 3741–3782.
Covin, R., Ouimet, A. J., Seeds, P. M., & Dozois, D. J. (2008). A meta-analysis of CBT for pathological worry among clients with GAD. Journal of Anxiety Disorders, 22(1), 108–116.PubMed
Crawford, J. R., & Henry, J. D. (2003). The Depression Anxiety Stress Scales (DASS): Normative data and latent structure in a large non-clinical sample. British Journal of Clinical Psychology, 42(2), 111–131.PubMed
De Jong-Meyer, R., Beck, B., & Riede, K. (2009). Relationships between rumination, worry, intolerance of uncertainty and metacognitive beliefs. Personality and Individual Differences, 46(4), 547–551.
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50, 195–212.PubMed
Epskamp, S., Costantini, G., Haslbeck, J., Isvoranu, A., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V.D., & Borsboom, D. (2023). Package ‘qgraph’. R package version 1.9.8.
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617.PubMed
Evans, D. E., & Rothbart, M. K. (2007). Developing a model for adult temperament. Journal of Research in Personality, 41(4), 868–888.
Flett, G. L., Nepon, T., & Hewitt, P. L. (2016). Perfectionism, worry, and rumination in health and mental health: A review and a conceptual framework for a cognitive theory of perfectionism. In F. M. Sirois & D. S. Molnar (Eds.), Perfectionism, health, and well-being (pp. 121–155). Springer International Publishing. https://​doi.​org/​10.​1007/​978-3-319-18582-8_​6
Fruchterman, T. M., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience, 21(11), 1129–1164.
Gross, J. J. (1999). Emotion regulation: Past, present, future. Cognition & Emotion, 13(5), 551–573.
Hantula, D. A. (2019). Replication and reliability in behavior science and behavior analysis: A call for a conversation. Perspectives on Behavior Science, 42, 1–11.PubMedPubMedCentral
Haslbeck, J. M., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50, 853–861.PubMed
Higgins, E. T., Friedman, R. S., Harlow, R. E., Idson, L. C., Ayduk, O. N., & Taylor, A. (2001). Achievement orientations from subjective histories of success: Promotion pride versus prevention pride. European Journal of Social Psychology, 31(1), 3–23.
Imoto, S., Kim, S. Y., Shimodaira, H., Aburatani, S., Tashiro, K., Kuhara, S., & Miyano, S. (2002). Bootstrap analysis of gene networks based on Bayesian networks and nonparametric regression. Genome Informatics, 13, 369–370.
Jankova, J., & Van De Geer, S. (2018). Semiparametric efficiency bounds for high-dimensional models. The Annals of Statistics, 46(5), 2336–2359.
Jones, N., Papadakis, A., Hogen, C., & Strauman, T. (2009). Over and over again: Rumination, reflection and promotion goal failure and their interactive effects on depressive symptoms. Behaviour Research and Therapy, 47, 254–259.PubMed
Just, N., & Alloy, L. B. (1997). The response styles theory of depression: Tests and an extension of the theory. Journal of Abnormal Psychology, 106(2), 221.PubMed
Koster, E. H., De Lissnyder, E., Derakshan, N., & De Raedt, R. (2011). Understanding depressive rumination from a cognitive science perspective: The impaired disengagement hypothesis. Clinical Psychology Review, 31(1), 138–145.PubMed
Koster, E. H., Fang, L., & Marchetti, I. (2015). Self-regulation through rumination: Consequences and mechanisms. In Handbook of biobehavioral approaches to self-regulation (pp. 371–383). Springer.
Kraft, B., Jonassen, R., Stiles, T. C., & Landrø, N. I. (2017). Dysfunctional metacognitive beliefs are associated with decreased executive control. Frontiers in Psychology, 8, 593.PubMedPubMedCentral
Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33(3), 335–343.PubMed
Luminet, O. (2003). Measurement of depressive rumination and associated constructs. In Depressive rumination (pp. 185-215). Wiley.
Martin, L. L., & Tesser, A. (1996). Striving and feeling: Interactions among goals, affect, and self-regulation. Psychology Press.
Matthews, G., & Wells, A. (2003). Rumination, depression, and metacognition: The S‐REF model. In Depressive rumination: Nature, theory and treatment (pp. 125–151). Wiley.
McLaughlin, K. A., & Nolen-Hoeksema, S. (2011). Rumination as a transdiagnostic factor in depression and anxiety. Behaviour Research and Therapy, 49(3), 186–193.PubMed
Meyer, T. J., Miller, M. L., Metzger, R. L., & Borkovec, T. D. (1990). Development and validation of the Penn State Worry Questionnaire. Behaviour Research and Therapy, 28(6), 487–495.PubMed
Molina, S., & Borkovec, T. D. (1994). The Penn State Worry Questionnaire: Psychometric properties and associated characteristics. In G. C. L. Davey & F. Tallis (Eds.), Worrying: Perspectives on theory, assessment and treatment (pp. 265–283). John Wiley & Sons.
Nayak, G., Dutta, S., Ajwani, D., Nicholson, P., & Sala, A. (2019). Automated assessment of knowledge hierarchy evolution: Comparing directed acyclic graphs. Information Retrieval Journal, 22(3), 256–284.
Nolen-Hoeksema, S. (2003). The response styles theory. In Depressive rumination: Nature, theory and treatment (Vol. 109, pp. 105–123). Wiley.
Nolen-Hoeksema, S., & Morrow, J. (1991). A prospective study of depression and posttraumatic stress symptoms after a natural disaster: The 1989 Loma Prieta Earthquake. Journal of Personality and Social Psychology, 61(1), 115.PubMed
Nolen-Hoeksema, S., Morrow, J., & Fredrickson, B. L. (1993). Response styles and the duration of episodes of depressed mood. Journal of Abnormal Psychology, 102(1), 20.PubMed
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424.PubMed
Normann, N., & Morina, N. (2018). The efficacy of metacognitive therapy: A systematic review and meta-analysis. Frontiers in Psychology, 9, 2211.PubMedPubMedCentral
Ólafsson, R. P., Guðmundsdóttir, S. J., Björnsdóttir, T. D., & Snorrason, I. (2020). A test of the habit-goal framework of depressive rumination and its relevance to cognitive reactivity. Behavior Therapy, 51(3), 474–487.PubMed
Papageorgiou, C., & Wells, A. (2001a). Metacognitive beliefs about rumination in recurrent major depression. Cognitive and Behavioral Practice, 8(2), 160–164.
Papageorgiou, C., & Wells, A. (2001b). Positive beliefs about depressive rumination: Development and preliminary validation of a self-report scale. Behavior Therapy, 32(1), 13–26.
Papageorgiou, C., & Wells, A. (2003). An empirical test of a clinical metacognitive model of rumination and depression. Cognitive Therapy and Research, 27, 261–273.
Pearl, J. (1995). Causal diagrams for empirical research. Biometrika, 82(4), 669–688.
Roberts, H., Moberly, N. J., Cull, T., Gow, H., Honeysett, M., & Dunn, B. D. (2020). Short-term affective consequences of specificity of rumination about unresolved personal goals. Journal of Behavior Therapy and Experimental Psychiatry, 66, 101519.PubMed
Roelofs, J., Huibers, M., Peeters, F., Arntz, A., & Van Os, J. (2010). Positive and negative beliefs about depressive rumination: A psychometric evaluation of two self-report scales and a test of a clinical metacognitive model of rumination and depression. Cognitive Therapy and Research, 34, 196–205.
Scutari, M. (2017). Bayesian network constraint-based structure learning algorithms: Parallel and optimized implementations in the bnlearn R package. Journal of Statistical Software, 77(2), 1–20.
Segerstrom, S. C., Tsao, J. C., Alden, L. E., & Craske, M. G. (2000). Worry and rumination: Repetitive thought as a concomitant and predictor of negative mood. Cognitive Therapy and Research, 24, 671–688.
Shah, J., & Higgins, E. T. (2001). Regulatory concerns and appraisal efficiency: The general impact of promotion and prevention. Journal of Personality and Social Psychology, 80(5), 693.PubMed
Stade, E. C., & Ruscio, A. M. (2023). A meta-analysis of the relationship between worry and rumination. Clinical Psychological Science, 11(3), 552–573.
Strauman, T. J. (2017). Self-regulation and psychopathology: Toward an integrative translational research paradigm. Annual Review of Clinical Psychology, 13(1), 497–523.PubMed
Strauman, T. J., Socolar, Y., Kwapil, L., Cornwell, J. F., Franks, B., Sehnert, S., & Higgins, E. T. (2015). Microinterventions targeting regulatory focus and regulatory fit selectively reduce dysphoric and anxious mood. Behaviour Research and Therapy, 72, 18–29.PubMedPubMedCentral
Tamm, G., Koster, E. H. W., & Hoorelbeke, K. (2024). Multiple paths to rumination within a network analytical framework. Scientific Reports, 14(1), 10874.PubMedPubMedCentral
Taylor, M. M., & Snyder, H. R. (2021). Repetitive negative thinking shared across rumination and worry predicts symptoms of depression and anxiety. Journal of Psychopathology and Behavioral Assessment, 43(4), 904–915.
Treynor, W., Gonzalez, R., & Nolen-Hoeksema, S. (2003). Rumination reconsidered: A psychometric analysis. Cognitive Therapy and Research, 27, 247–259.
Watkins, E. (2015). Psychological treatment of depressive rumination. Current Opinion in Psychology, 4, 32–36.
Watkins, E., & Brown, R. G. (2002). Rumination and executive function in depression: An experimental study. Journal of Neurology, Neurosurgery & Psychiatry, 72(3), 400–402.
Watkins, E. R., & Roberts, H. (2020). Reflecting on rumination: Consequences, causes, mechanisms and treatment of rumination. Behaviour Research and Therapy, 127, 103573.PubMed
Wells, A. (2005). The metacognitive model of GAD: Assessment of meta-worry and relationship with DSM-IV generalized anxiety disorder. Cognitive Therapy and Research, 29, 107–121.
Wells, A. (2006). The metacognitive model of worry and generalised anxiety disorder. In G. C. L. Davey & A. Wells (Eds.), Worry and its psychological disorders: Theory, assessment and treatment (pp. 177–199). John Wiley & Sons Ltd
Wells, A. (2019). Breaking the cybernetic code: Understanding and treating the human metacognitive control system to enhance mental health. Frontiers in Psychology, 10, 480104.
Wells, A., & Cartwright-Hatton, S. (2004). A short form of the metacognitions questionnaire: Properties of the MCQ-30. Behaviour Research and Therapy, 42(4), 385–396.PubMed
Wells, A., & Matthews, G. (1996). Modelling cognition in emotional disorder: The S-REF model. Behaviour Research and Therapy, 34(11–12), 881–888.PubMed
Metagegevens
Titel
Evaluating Theories of Repetitive Negative Thinking: Replication and Extension
Auteurs
Gerly Tamm
Ernst H. W. Koster
Kristof Hoorelbeke
Publicatiedatum
22-11-2024
Uitgeverij
Springer US
Gepubliceerd in
Cognitive Therapy and Research / Uitgave 1/2025
Print ISSN: 0147-5916
Elektronisch ISSN: 1573-2819
DOI
https://doi.org/10.1007/s10608-024-10546-1

Andere artikelen Uitgave 1/2025

From Information to Worry: How Selective Interrogation of Information Shapes Expectancies in the Prenatal Period

  • Brief Report

Associations Between Interpersonal Trauma and Intolerance of Uncertainty in an International Multi-Site Sample

  • Open Access
  • Original Article

Understanding Biased Expectation Change in Depression – The Influence of State Affect and Affect Regulation

  • Open Access
  • Original Paper

Stressful Life Events and Depression in Adolescents from Low-Income Neighborhoods: An Investigation of the Role of Working Memory Capacity and Distress Intolerance

  • Original Article

The Roles of Intrusive Visual Imagery and Verbal Thoughts in Pre-Sleep Arousal of Patients with Insomnia Disorder: A Path Model

  • Original Article

Modulating the Value of Positive Feedback Does Not Influence Expectation Change in Major depression – What Can be Learned from a Failed Replication?

  • Open Access
  • Original Article