Computerized Response Training Obesity Treatment

NCT03375853 | Completed

• 1 other identifier: DK112762
• Study Type: interventional
• Target: 179
• Locations: 1 country
• Sites: 1

Brief Summary

This project will test whether a food response training intervention produces lasting body fat loss, use objective brain imaging to examine the mechanism of effect of this treatment and investigate the generalizability of the training to non-training foods, and examine factors that should amplify intervention effects to provide a test of the intervention theory. This novel treatment represents a bottom-up implicit training intervention that does not rely on executive control, prolonged caloric deprivation, and expensive clinicians to deliver, like behavioral weight loss treatments that have not produced lasting weight loss. If this computer-based response training intervention produces sustained body fat loss in overweight individuals, it could be easily implemented very broadly at almost no expense, addressing a leading public health problem.

Conditions

Obesity; Hyperphagia; Feeding and Eating Disorders

Keywords

Obesity; Dissonance; Response Training; Eating Disorder; Computer-based Training

Outcome Measures

Primary Outcomes (1)

• Body Fat Change

  Change in participant's body fat percentage

  Baseline, 1 month, 3 months, 6 months, 12 months

Secondary Outcomes (14)

• Change in Eating Disorder Symptoms

  Baseline, 1 month, 3 months, 6 months, 12 months

• Dietary Restraint, Emotional Eating, and External Eating

  Baseline, 1 month, 3 months, 6 months, 12 months

• Change in Disinhibited Eating Behavior

  Baseline, 1 month, 3 months, 6 months, 12 months

• Change in Eating in the Absence of Hunger Behavior

  Baseline, 1 month, 3 months, 6 months, 12 months

• Change in Food Addiction Behavior

  Baseline, 1 month, 3 months, 6 months, 12 months

Study Arms (2)

Control Condition

ACTIVE COMPARATOR

Participants will complete computer based response training tasks that will incorporate pictures of birds, flowers, and mammals. As part of the computer based training, participants will be instructed to respond or inhibit response to certain of these stimuli in order to bring about a change in the participant response to certain stimuli. These tasks will be structured identically to those presented in the experimental condition, only the appearance and context of the stimuli will be different (i.e., non-food versus food items). The computer tasks described above comprise the Generic Response Training Control Intervention.

Behavioral: Generic Response Training Control Intervention

Experimental Condition

EXPERIMENTAL

Participants will complete computer-based response training tasks that will incorporate pictures of healthy food, unhealthy food, and glasses of water. As part of the computer-based training, participants will be instructed to respond or inhibit responses to certain of these stimuli in order to bring about a change in the participant response to certain stimuli. These tasks will be structured identically to those presented in the control condition, only the appearance and context of the stimuli will be different (i.e., food versus non-food items). The computer tasks described above comprise the Computer Based Response Training Weight Loss Intervention. To optimize the intervention, we narrowed the low-calorie food stimulus set to make a better distinction between high-calorie and low-calorie foods and we changed the filler images (water and furry mammals) in the go/no-go task from 100% "go" to 50% "go" and 50% "no-go" to measure learning of stimulus-specific respond associations.

Behavioral: Computer Based Response Training Weight Loss Intervention

Interventions

Computer Based Response Training Weight Loss Intervention BEHAVIORAL

Participants complete four computer based training tasks each visit, over the course of a few lab visits. Participants then perform weekly booster sessions in a more natural home or community environment over the internet using the same computer based training tasks.

Experimental Condition

Generic Response Training Control Intervention BEHAVIORAL

Participants complete four computer based training tasks each visit, over the course of a few lab visits. Participants then perform weekly booster sessions in a more natural home or community environment over the internet using the same computer based training tasks.

Control Condition

Eligibility Criteria

• Age: 18 Years - 38 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

• Body Mass Index Between 25 and 35

Sponsors & Collaborators

• Oregon Research Institute: lead
• Flinders University: collaborator
• University of Exeter: collaborator
• Radboud University Medical Center: collaborator
• University of Oregon: collaborator

Study Sites (1)

Oregon Research Institute

Eugene, Oregon, 97403, United States

Location

Related Publications (1)

• Yokum S, Bohon C, Berkman E, Stice E. Test-retest reliability of functional MRI food receipt, anticipated receipt, and picture tasks. Am J Clin Nutr. 2021 Aug 2;114(2):764-779. doi: 10.1093/ajcn/nqab096.

  PMID: 33851199 DERIVED

MeSH Terms

Conditions

Obesity; Hyperphagia; Feeding and Eating Disorders

Condition Hierarchy (Ancestors)

Overweight; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Signs and Symptoms, Digestive; Mental Disorders

Study Officials

• Eric Stice, PhD

  Stanford University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 17, 2017
• First Posted: December 18, 2017
• Study Start: July 15, 2017
• Primary Completion: August 31, 2023
• Study Completion: September 15, 2023
• Last Updated: September 26, 2023

Record last verified: 2023-09

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)