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dc.contributor.authorSolem, Stian
dc.contributor.authorThunes, Susanne Semb
dc.contributor.authorHjemdal, Odin
dc.contributor.authorHagen, Roger
dc.contributor.authorWells, Adrian
dc.identifier.citationBMC Psychology 2015nb_NO
dc.description.abstractBackground: The primary aim of this study was to explore how metacognition, as implicated in Wells and Matthews’ metacognitive theory of emotional disorder, might relate to the concept of mindfulness, and whether metacognition or mindfulness best predicted symptoms of emotional disorder. Methods: Data was collected from 224 community controls on the Five Facet Mindfulness Questionnaire (FFMQ), the Metacognitions Questionnaire-30 (MCQ-30), the Patient Health Questionnaire 9-item (PHQ-9), the Generalized Anxiety Disorder 7-item (GAD-7), and the Obsessive-Compulsive Inventory Revised (OCI-R). Results: The MCQ-30 and FFMQ subscales constituted two latent factors which appeared to assess metacognition and mindfulness. The FFMQ subscales nonjudging of inner experience and acting with awareness loaded on metacognition, while observing, nonreacting to inner experience and describing formed a unique mindfulness factor. Metacognition correlated strongly with symptoms of depression, anxiety and obsessive-compulsive disorder. Regression analyses found metacognition to be an important predictor of symptoms explaining between 42 % and 49 % of the variance when controlling for age and gender, while mindfulness was a weaker predictor explaining between 0 % and 2 % of the variance in symptoms. Conclusions: The structure amongst scales and the pattern of correlations with symptoms were generally consistent with the metacognitive theory which focuses on metacognitive beliefs, enhancing awareness of thoughts and disengaging extended processing.nb_NO
dc.publisherBioMed Centralnb_NO
dc.rightsNavngivelse 3.0 Norge*
dc.titleA Metacognitive Perspective on Mindfulness: An Empirical Investigationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalBMC Psychologynb_NO
dc.description.localcode© Solem et al. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​4.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.nb_NO

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Navngivelse 3.0 Norge
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