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Updated: Apr 10, 2026

A Treatment Package without Escape Extinction to Address Food Selectivity
Published on: August 21, 2015
Effectiveness of Virtually Delivered Cognitive-Behavioral Therapy for Avoidant/Restrictive Food Intake Disorder
P Evelyna Kambanis1,2,3, Kelly Cai4, Jennifer J Thomas1,2,3
1Eating Disorders Clinical and Research Program, Massachusetts General Hospital, Boston, Massachusetts, USA.
Virtual cognitive-behavioral therapy for ARFID (CBT-AR) effectively treats adults in real-world settings, improving weight and reducing ARFID symptoms. Baseline symptom severity predicted treatment gains, supporting tailored interventions for Avoidant/Restrictive Food Intake Disorder.
Area of Science:
- Psychiatry
- Clinical Psychology
- Behavioral Science
Background:
- Avoidant/Restrictive Food Intake Disorder (ARFID) is a complex eating disorder.
- Cognitive-behavioral therapy for ARFID (CBT-AR) shows promise in open trials.
- Effectiveness of CBT-AR in real-world, virtual settings remains understudied.
Purpose of the Study:
- Evaluate the effectiveness of virtually delivered CBT-AR for adults with ARFID.
- Examine if baseline symptom severity predicts treatment outcomes within ARFID profiles.
Main Methods:
- A total of 549 adults with ARFID received virtual CBT-AR.
- Weight and ARFID symptom data were collected at intake and throughout treatment.
- Regression analyses assessed weight changes, symptom reductions, and predictive relationships.
Main Results:
- Adults requiring weight restoration gained an average of 0.34 lb/week.
- Significant reductions were observed in sensory sensitivity, fear of consequences, and lack of appetite.
- Higher baseline symptom severity within each ARFID profile predicted greater improvement in that specific domain.
Conclusions:
- Virtually delivered CBT-AR is effective for adults with ARFID in naturalistic settings.
- The treatment leads to significant improvements in weight and ARFID-related symptoms.
- Findings support the clinical utility of profile-based treatment planning for ARFID.
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