Using Continuous Glucose Monitoring to Detect and Intervene on Maintenance Factors for Trans-diagnostic Binge Eating Pathology

Drexel University30 enrolled

Overview

The current study will be one of the first to develop and test a passive data collection technique to detect both meal consumption and disordered eating symptoms in patients with clinically significant binge eating and the first just-in-time adaptive interventions (JITAIs) systems using passive sensing technology for eating pathology to be empirically evaluated. A small iterative open clinical trial using an ABAB design (A= SenseSupport Off, B=SenseSupport On) will be conducted to test the feasibility, acceptability, and target engagement of SenseSupport when paired with a 12 week in-person CBT treatment program. The hypothesis that larger decreases in dietary restriction will be observed during SenseSupport On phases compared to SenseSupport Off phases will be tested in this clinical trial.

Study Type

INTERVENTIONAL

Allocation

Purpose

TREATMENT

Masking

NONE

Enrollment

Conditions

Bulimia Nervosa Binge Eating

Interventions

Eligibility

Sex: ALLMin age: 18 YearsMax age: 65 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Are 18 to 65 years old * Experience clinically significant binge eating (defined as 12 or more objectively large binge eating episodes in the past 3 months) * Engage in clinically significant dietary restriction (define as \>1 standard deviation above community norms on the Eating Disorder Examination Dietary Restraint Subscale) * Have a BMI above 18.5 * Are able to give consent Exclusion Criteria: * Are unable to fluently speak, write and read English * Are receiving treatment for an eating disorder * Require immediate treatment for medical complications as a result of eating disorder symptoms * Have a mental handicap, or are experiencing other severe psychopathology that would limit the participants' ability to comply with the demands of the current study (e.g. severe depression with suicidal intent, active psychotic disorder) * Have diabetes * Are pregnant or planning to become pregnant within the next year

Outcomes

Primary Outcomes

Number of weekly episodes of going ≥ 4 waking hours without eating

The number of weekly episodes of going ≥ 4 waking hours without eating captured through CGM and EMA data as well as an EDE-Q assessment before each weekly therapy session. Higher numbers indicate more weekly episodes of dietary restriction. There are no subscale scores or a total score. The number of weekly episodes of going ≥ 4 waking hours without eating will be used to assess the amount of dietary restriction occurring throughout the course of treatment as compared to baseline dietary restriction for the participant.

Time frame: 12 weeks

Secondary Outcomes

Eating Disorder Examination Questionnaire (EDE-Q)

The Eating Disorder Examination Questionnaire measures eating pathology. The EDE-Q yields four subscale scores: Restraint, Eating Concern, Shape Concern, and Weight Concern. The possible score range for each subscale is 0 to 6. The total score may also be reported (determined by averaging the subscale scores); the score range for the total score is also 0 to 6. For subscale scores and total score, higher scores indicate more severe pathology. The restraint sub-scale of the EDE-Q will be used to assess utilization of skills related to reducing dietary restraint.

Time frame: Assessed before each weekly treatment session throughout treatment duration (12 weeks)

Feedback Questionnaire (FQ)

The feedback questionnaire asks qualitative questions about the application. The feedback questionnaire does not report either subscale scores or a total score. The FQ will be used to obtain qualitative acceptability ratings.

Time frame: Assessed at weekly treatment sessions throughout treatment duration (12 weeks)

Technology Acceptance Model Scale (TAMS)

The Technology Acceptance Model Scale measures usefulness and ease of use of a technological product. The TAMS yields two subscale scores (usefulness and ease of use). The possible score range for each subscale is 6 to 49. Higher scores indicate greater usefulness and ease of use. The TAMS will be used to assess the perceived usefulness and perceived ease-of-use of the smartphone application to evaluate acceptability.