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Predictors of Outcome for Cognitive Behaviour Therapy in Binge Eating Disorder
Authors:Mirjam W. Lammers  Maartje S. Vroling  Machteld A. Ouwens  Rutger C. M. E. Engels  Tatjana van Strien
Affiliation:1. Amarum, Expertise Centre for Eating Disorders, GGNet Network for Mental Health Care, The Netherlands;2. Amarum, Expertise Centre for Eating Disorders, GGNet, The Netherlands;3. Radboud University, Department of Clinical Psychology, The Netherlands;4. GGZ Breburg, The Netherlands;5. Trimbos Institute, The Netherlands;6. Radboud University, Behavioural Science Institute, The Netherlands;7. VU University Amsterdam, Faculty of Earth and Life Sciences, The Netherlands;8. Radboud University, Institute for Gender Studies, and Behavioural Science Institute, The Netherlands
Abstract:The aim of this naturalistic study was to identify pretreatment predictors of response to cognitive behaviour therapy in treatment‐seeking patients with binge eating disorder (BED; N = 304). Furthermore, we examined end‐of‐treatment factors that predict treatment outcome 6 months later (N = 190). We assessed eating disorder psychopathology, general psychopathology, personality characteristics and demographic variables using self‐report questionnaires. Treatment outcome was measured using the bulimia subscale of the Eating Disorder Inventory 1. Predictors were determined using hierarchical linear regression analyses. Several variables significantly predicted outcome, four of which were found to be both baseline predictors of treatment outcome and end‐of‐treatment predictors of follow‐up: Higher levels of drive for thinness, higher levels of interoceptive awareness, lower levels of binge eating pathology and, in women, lower levels of body dissatisfaction predicted better outcome in the short and longer term. Based on these results, several suggestions are made to improve treatment outcome for BED patients. Copyright © 2015 John Wiley & Sons, Ltd and Eating Disorders Association.
Keywords:binge eating disorder  cognitive behaviour therapy  treatment outcome  predictors
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