Dismantling mindfulness-based cognitive therapy for recurrent depression implicates lack of differential efficacy for mindfulness training
Open accessAbstract
Risk of relapse among patients diagnosed with major depressive disorder is high (>50% of those recovering from a first episode of depression, and approximately 80% of those with a history of two or more episodes),1 and this risk increases with each successive depressive episode.2 Several clinical trials have demonstrated that mindfulness-based cognitive therapy (MBCT) significantly reduces relapse risk among patients with three or more prior depressive episodes.3 Yet, MBCT contains multiple therapeutic elements, and the specific efficacy of the mindfulness training element in MBCT is unknown.
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Piet, J., & Hougaard, E. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2011.05.002 · Cited by 807 · see citing works
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- [1]Burcusa SL, Iacono WG. Risk for recurrence in depression. Clin Psychol Rev 2007;27:959–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2]ten Doesschate MC, Bockting CLH, Koeter MWJ, et al. Prediction of recurrence in recurrent depression: a 5.5-year prospective study. J Clin Psychiatry 2010;71:984–91. [DOI] [PubMed] [Google Scholar]
- [4]Garland EL. Mindfulness research in social work: conceptual and methodological recommendations. Soc Work Res 2013;37:1–10. [Google Scholar]
- [5]Garland EL, Manusov EG, Froeliger B, et al. Mindfulness-oriented recovery enhancement for chronic pain and prescription opioid misuse: results from an early-stage randomized controlled trial. J Clin Consult Psychol 2014;82:448–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Evid Based Ment Health. 2014 Jul 18;17(3):94.
- ABSTRACT FROM Williams JM, Crane C, Barnhofer T, et al. Mindfulness-based cognitive therapy for preventing relapse in recurrent depression: a randomized dismantling trial. J Consult Clin Psychol 2014;82:275–86.
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Garland, E. L. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13034 · Cited by 137 · see citing works
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- Authors
- Garland, E. L.
- Affiliations
- University of Utah (US)
- Corresponding author
- Garland, Eric L
- ORCID
- Garland, Eric L
- Venue
- Evidence Based Mental Health
- Publisher
- BMJ
- Published
- 2014-07-18
- Volume
- 17
- Issue
- 3
- Pages
- 94-94
- ISSN
- 1362-0347 (ISSN-L)
- 1468-960X
- PMC
- PMC13404256
- OpenAlex
- W2157789622
- Cited by
- 1
- References
- 1
- Citations by year
- 2016: 1
- FWCI
- 0.39
- Type
- journal article
- Language
- en
- Open access
- green
- pmc.ncbi.nlm.nih.gov
- Locations
- Evidence-Based Mental Health (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- mindfulness-based cognitive therapy, recurrent depression, major depressive disorder, relapse prevention, mindfulness training, treatment efficacy, differential treatment effects
- MeSH terms
- Depressive Disorder, Female, Humans, Male, Cognitive Behavioral Therapy, Mindfulness
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