Computerised Training for Binge-Subtype Eating Disorders
NCT04364659 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 80
Last updated 2020-04-28
Summary
This research project aims to explore the feasibility of a computerised training to reduce approach to high energy-dense foods among individuals who binge eat. The computerised intervention used will be an inhibitory control training, particularly, a food-specific go/no-go task. Eighty adults with a diagnosis of bulimia nervosa or binge eating disorder who are currently receiving psychological and/or pharmacological treatment for their eating disorder will be recruited and randomised to receive the computerised training in addition to treatment as usual (experimental group: training + TAU) or treatment as usual only (control group: TAU). Participants will complete questionnaires at baseline (T0), post-intervention (T1; 4 weeks), and follow-up (T2; 8 weeks).
Participants will be asked to complete the computerised training for 4 weeks using a mobile app called FoodT. The computerised training consists of completing a food-specific go/no-go task to reduce approach to high energy-dense foods.
The results of this study will build steps for future larger-scale interventions and improve understanding of psychological mechanisms involved in binge eating behaviour.
Conditions
- Bulimia Nervosa
- Binge-Eating Disorder
Interventions
- BEHAVIORAL
-
Food-Specific Inhibitory Control Training (FoodT App)
FoodTrainer (FoodT) is a simple game that aims to train individuals to 'stop' to certain unhealthy foods. Repeatedly playing this game is hypothesised to help build associations between certain foods (such as chocolate) and stopping, putting the brakes on unhelpful eating behaviour.
Sponsors & Collaborators
-
University of Exeter
collaborator OTHER - lead OTHER
Principal Investigators
-
Janet Treasure, OBE, PhD, FRCP, FRCPsych · Institute of Psychiatry, Psychology, & Neuroscience, King's College London
-
Valentina Cardi, PhD · Institute of Psychiatry, Psychology, & Neuroscience, King's College London
-
Natalia Lawrence, PhD · University of Exeter
-
Johanna Keeler, BSc · University of Exeter
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 60 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-06-01
- Primary Completion
- 2020-09-01
- Completion
- 2021-01-01
Countries
- United Kingdom
Study Locations
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