Using Virtual Reality and Sensor Technology to Enhance Outcomes From Treatment for Binge Eating

NCT05041660 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 41

Last updated 2021-09-13

No results posted yet for this study

Summary

This study evaluates whether virtual-reality-based inhibitory control trainings are more effective than computerized trainings in reducing binge eating symptomatology. These trainings are used to improve people's ability to resist their impulses towards highly palatable foods (such as chips or cookies). These trainings also offer promise as a companion to Cognitive Behavioral Therapy, an often used and relatively effective therapeutic methodology.

Conditions

  • Binge Eating
  • Inhibition (Psychology)

Interventions

OTHER

Virtual-reality-based training

Uses virtual reality for the inhibitory control training, rather than a relatively simplistic computerized training.

OTHER

Inhibitory Control Training

Uses an active inhibitory control training which includes a "stop" signal.

OTHER

Sham Inhibitory Control Training

Uses an inhibitory control training which does not include a "stop" signal.

OTHER

Computerized training

Uses a relatively simplistic computerized training.

Sponsors & Collaborators

  • Drexel Coulter Translational Research Partnership Program

    collaborator UNKNOWN
  • Drexel University

    lead OTHER

Principal Investigators

  • Stephanie Manasse, Ph.D. · Drexel University

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
FACTORIAL

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-10-14
Primary Completion
2020-08-05
Completion
2020-08-05

Countries

  • United States

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05041660 on ClinicalTrials.gov