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Mihaela Aslan

3 papers in the library · 4 citations · publishing 2023-2026

Papers

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Combining Digital Cognitive Behavioral Therapy With Mindfulness Training for Binge Eating Disorder: Protocol for a Feasibility Trial

JMIR Research Protocols April 17, 2026 Margaret Sala, Corey Roos, Dante Ascarrunz et al.

BackgroundCognitive behavioral therapy (CBT) is the most effective treatment for binge eating disorder (BED) but is limited by modest efficacy and low reach of in-person delivery. Combining mindfulness training with CBT could enhance efficacy by targeting emotion dysregulation, a key factor in BED that CBT does not adequately target. Digital delivery can enhance the reach of treatment....

Combining Cognitive-Behaviour Therapy With Mindfulness Training in a Digital Intervention for Binge Eating Disorder: A Single-Session Pilot Trial.

European Eating Disorders Review May 11, 2025 Margaret Sala, Corey Roos, Hedy Kober et al. 4 citations

Delivering a single-session treatment digitally can offer increased accessibility. We developed and tested a single-session digital intervention for binge-eating disorder (BED) combining cognitive behavioural therapy (CBT) and mindfulness training. English-speaking adults who met criteria for BED were recruited nationally. Participants completed a 60-min digital single-session intervention for...

DOI: 10.1002/erv.3204 (opens in new tab) Full text (opens in new tab) Binge eating disorder Cognitive behavioural therapy Digital intervention Mindfulness meditation

A Network Investigation of Core Mindfulness Processes.

Mindfulness April 13, 2023 Margaret Sala, Mihaela Aslan, Ralitza Gueorguieva et al.

Objective: Mindfulness has been associated with improved psychological well-being and health, although outcomes from mindfulness-based interventions are mixed. One challenge is a limited understanding about which specific processes are core to mindfulness. Network analysis offers a method to characterize the core processes of mindfulness. Methods: This study used network analysis to identify...