Work

The development and internal evaluation of a predictive model to identify for whom Mindfulness-Based Cognitive Therapy (MBCT) offers superior relapse prevention for recurrent depression versus maintenance antidepressant medication.

Year: 2020

Type: article

Abstract: =.008]). For individuals with moderate-to-good ADM prognosis, both treatments resulted in similar likelihood of relapse. If replicated, the results suggest that predictive modeling can inform clinical decision-making around relapse prevention in recurrent depression.

Source: PubMed

DOI: 10.17863/cam.93618

Authors: Cohen, Zachary D, DeRubeis, Robert J, Hayes, Rachel, Watkins, Edward R, Lewis, Glyn, Byng, Richard, Byford, Sarah, Crane, Catherine, Kuyken, Willem, Dalgleish, Tim, Schweizer, Susanne

Institutions: University of Exeter, University of Oxford, MRC Cognition and Brain Sciences Unit

Language: English

Topic: Mindfulness and Compassion Interventions

Subfield: Clinical Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Wellcome Trust, National Institute for Health and Care Research, Department of Health and Social Care, Medical Research Council, NIHR Cambridge Biomedical Research Centre

Awards: Promoting mental health and building resilience in adolescence: Investigating mindfulness and attentional control., The effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse/recurrence: results of a randomised controlled trial (the PREVENT study), G339059223, G3594153814, G3988682191, G4137507331, Enhancing emotion-regulation in adolescence: A developmental window of opportunity, G5339972315, G5696211195, G6868616705, Promoting mental health and building resilience in adolescence: Investigating mindfulness and attentional control., G8006041828, G8074725857, Enhancing emotion-regulation in adolescence: A developmental window of opportunity, G862767094, G8785276084

OpenAlex ID: W3208802634

FWCI:

Cites: 2

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