Weight Loss for Prediabetes Using Episodic Future Thinking (MINDD4)
Primary Purpose
PreDiabetes
Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Episodic Future Thinking
Daily Check in
Sponsored by
About this trial
This is an interventional treatment trial for PreDiabetes focused on measuring Weight loss, delay discounting
Eligibility Criteria
Inclusion Criteria:
- Overweight or obese (BMI ≥ 25)
- Prediabetes (HbA1c between 5.7 - 6.4%; 39-40 mmol/mol)
Exclusion Criteria:
- Type 2 Diabetes
- Use of diabetic drugs
- Pregnancy
- Not ambulatory
- Intellectual impairment
- Unmanaged mood disorders
- Current substance use disorder (excluding nicotine and caffeine)
- History of eating disorders (Except binge eating disorder)
- Abnormal blood glucose related to medications
Sites / Locations
- University at Buffalo, Department of Pediatrics, Division of Behavioral Medicine
- Fralin Biomedical Research Institute, Virginia Tech Carilion
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
Placebo Comparator
Arm Label
Episodic Future Thinking (EFT)
Daily Check in (DCI)
Arm Description
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Participants will be asked to access an electronic app daily, but will receive no cues.
Outcomes
Primary Outcome Measures
Change From Baseline in Delay Discounting
Delay Discounting will be assessed using an adjusting amount task where choices will be present between a larger, delayed amount of money ($100) and a smaller, immediate amount. The smaller, immediate amount will begin at $50 on the first trial and will be adjusted following each trial. Participants cues created during treatment will be displayed during the task. To calculate discount rates hyperbolic discounting model will be used V=A/1+kD where V is discounted value, A is reward amount, D is delay and k is a free parameter that indexes the rate of discounting. k values are transformed using natural log. Higher scores indicate more choices for immediate reward. Change is assessed using repeated measures.
Change From Baseline in Weight
Weight measured in kilograms. Change is assessed using repeated measures.
Change From Baseline in Glycemic Control
Glycemic control will be measured as hemoglobin A1c (HbA1c), which is the percentage of glycated hemoglobin within total hemoglobin. Change is assessed using repeated measures.
Secondary Outcome Measures
Change in Medication Adherence
Adherence to prescribed medication for co-morbid hypertension and/or hyperlipidemia will be assessed using pill counts. Experimenter will count pills 2x and record number of pills, medication, dosage and fill date. Adherence percentage is calculated [(Quantity of pills dispensed - remaining)/(quantity prescribed per day*days since last refill)] *100. Change is assessed using repeated measures.
Changes in Physical Activity
Physical activity, as one index of behavioral health and a target of the behavioral weight loss treatment, was measured using an Actigraph Accelerometer. Participants will be asked to wear an Actigraph Accelerometer for at least 10 hours per day for approximately one week. Accelerometer data was filtered using ActiLife, for 90 minutes consecutive non-wear and by participants wear time diaries. The main outcome measure was percent of time engaged in moderate to vigorous activity (MVPA) (MET>3.00). Change is assessed using repeated measures.
Change in Total Calories
Dietary intake, as an index of behavioral health and a target of the treatment, was measured using 3 automated self-administered 24-hour multi-pass food recalls. Total calories were averaged across the three sessions for each timepoint. Change was assessed using repeated measures.
Changes in Working Memory
Visuospatial working memory will be measured using the Backwards Corsi block-tapping task. The total score, or (number of trials completed correctly (out of 14 trials) x longest correctly reported block of items (2 - 8 items) ). Possible scores range from 0 (minimum) - (112) maximum. Higher scores indicate better working memory. Change is assessed using repeated measures
Full Information
NCT ID
NCT03670602
First Posted
September 7, 2018
Last Updated
November 10, 2022
Sponsor
State University of New York at Buffalo
Collaborators
Virginia Polytechnic Institute and State University, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
1. Study Identification
Unique Protocol Identification Number
NCT03670602
Brief Title
Weight Loss for Prediabetes Using Episodic Future Thinking
Acronym
MINDD4
Official Title
Delay Discounting as a Target for Self-Regulation in Prediabetes
Study Type
Interventional
2. Study Status
Record Verification Date
November 2022
Overall Recruitment Status
Completed
Study Start Date
January 17, 2019 (Actual)
Primary Completion Date
June 30, 2021 (Actual)
Study Completion Date
June 30, 2021 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
State University of New York at Buffalo
Collaborators
Virginia Polytechnic Institute and State University, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No
5. Study Description
Brief Summary
The goals of the UH3 are to assess the effectiveness of adding Episodic Future Thinking (EFT) to the investigators standard behavioral weight control program to improve weight loss, delay discounting (DD), working memory, glycemic control (HbA1c) and behavioral medication adherence over a 6 month period in persons with prediabetes and comorbid hypertension and/or hyperlipidemia. This will be accomplished by a randomized trial (N = 71 randomized) comparing the effects of EFT versus control that matches attention and use of technology.
Detailed Description
Participants in both groups will first attend weekly group meetings followed by monthly group meetings for up to 6 months. They will be provided general information on healthy diet, physical activity and medication adherence that the investigators will develop combining strengths of the investigators well validated family-based behavioral treatment for obesity and the Diabetes Prevention Program (DPP) lifestyle intervention for prediabetes. The behavioral treatment (BT) is a rigorously tested, multi-component intervention that targets diet, activity, and behavioral skills. The treatment will include: 1) a modified version of the Traffic Light Diet, which utilizes RED, YELLOW, GREEN labels for food to guide participants toward the goal of consuming low energy dense, low glycemic, high nutrient dense foods; 2) the Traffic Light Activity Program, which also utilizes RED, YELLOW and GREEN labels for different levels of caloric expenditure, and 3) a variety of behavioral techniques, including stimulus control, self-monitoring, goal setting, problem solving, resetting rewarding mechanisms by reducing need for immediate gratification, finding behavioral substitutes for highly reinforcing food, and EFT. The investigators have used a traffic light-based intervention in combination with EFT in a pilot study to demonstrate therapeutic effects of EFT on BMI and dietary intake beyond the effects of BT alone.
During treatment meetings, participants will be weighed and have a 30-60 minute group session (up to 20 per group) either preceded or followed by an individualized session with an interventionist. The group sessions review information about weight loss and maintenance and engage in group problem solving for participants who are struggling with behavior change. During the individual meeting with their interventionist, participants are taught behavior change techniques and review and address diet and activity self-monitoring and any barriers to adherence with the weight-loss behaviors. A study website will be developed that will be used to provide information about the intervention, downloadable manuals for the Traffic Light Diet and Activity Program, manage the EFT component of the intervention, and provide tools for cooking, and getting more physical activity. Quizzes to assess mastery of educational materials will be implemented on the study website, with multiple versions of quizzes on each module available to account for those participants who will acquire the information more slowly than others. Participants will have access to traditional paper and pencil self-monitoring, and consistent with current implementation of BT, after self-monitoring skill is acquired, participants can choose to use traditional or technology-based recording. Participants will have access to the study website for feedback, and interventionists will have access to the website to assess patient progress, assist with problem solving and to communicate with participants to structure solutions. The website will also contain password protected sections that are for internal use by study personnel. This section will be a repository for study documents and a communications hub for the study. The website will not contain protected health information.
Participants in both groups will meet with an interventionist to review progress. One group will be trained to implement EFT using the ecological momentary intervention (EMI) computer based program that the investigators have developed. This program can be accessed by smartphone, tablet or computer. This application stores self-generated EFT cues, prompts their use, asks questions about use, and records their use. EFT training will include developing individualized future event cues to use in implementing EFT in the natural environment. In the control group, participants may use non-future cues, recall previous events, and not use prospection.
Cues are stimuli that prompt engaging in EFT. Cues can be signs, reminder cards, audio cues, or physical cues. Subjects will practice using these cues and learn to envision that the "future is now" when making decisions in the laboratory as they are engaged in a variety of DD and food decision training tasks such as the opportunity to have a very enticing snack now or larger portions of healthier food later, earning a small amount of money now or more later, etc. In this way, participants will learn to generate episodic future cues and practice EFT skills in situations where they usually would choose the more immediate reward. Episodic future cues may include audio and written cues that can be accessed during tempting situations in the natural environment. During individual sessions interventionists will review habit changes and medication adherence, and use of EFT. In the control group participants be asked to log into the MAMRT web-app at the same frequency as the EFT group, but will see no cues prior to their daily questions.
Participants in both groups will be weighed at the beginning of each session, and height will also be collected at baseline. Data to be collected at baseline, 3 and 6 months include delay discounting tasks, working memory, measures of medication and behavioral adherence, weight, glycemic control, blood pressure and cholesterol, eating and activity.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
PreDiabetes
Keywords
Weight loss, delay discounting
7. Study Design
Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
Participants will engage in EFT or control while using The Traffic Light Diet, The Traffic Light Activity Program, and a variety of behavioral techniques including stimulus control, self-monitoring, goal setting, problem solving, resetting rewarding mechanisms by reducing need for immediate gratification, finding behavioral substitutes for highly reinforcing food.
Masking
Outcomes Assessor
Masking Description
Research personnel who will be conducting assessment sessions, including weight measurements, will not be informed of participant's group assignment
Allocation
Randomized
Enrollment
64 (Actual)
8. Arms, Groups, and Interventions
Arm Title
Episodic Future Thinking (EFT)
Arm Type
Experimental
Arm Description
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Arm Title
Daily Check in (DCI)
Arm Type
Placebo Comparator
Arm Description
Participants will be asked to access an electronic app daily, but will receive no cues.
Intervention Type
Behavioral
Intervention Name(s)
Episodic Future Thinking
Other Intervention Name(s)
EFT
Intervention Description
Participants will practice using these cues when making decisions about health choices. Participants will implement EFT while using The Traffic Light Diet, The Traffic Light Activity Program, and a variety of behavioral techniques including stimulus control, self-monitoring, goal setting, problem solving, resetting rewarding mechanisms by reducing need for immediate gratification, finding behavioral substitutes for highly reinforcing food.
Intervention Type
Behavioral
Intervention Name(s)
Daily Check in
Other Intervention Name(s)
DCI
Intervention Description
Participants will be asked to access the electronic app at the same rate as the experimental group (e.g. daily). Participants will receive behavioral weight loss treatment including The Traffic Light Diet, The Traffic Light Activity Program, and a variety of behavioral techniques including stimulus control, self-monitoring, goal setting, problem solving, and finding behavioral substitutes for highly reinforcing food.
Primary Outcome Measure Information:
Title
Change From Baseline in Delay Discounting
Description
Delay Discounting will be assessed using an adjusting amount task where choices will be present between a larger, delayed amount of money ($100) and a smaller, immediate amount. The smaller, immediate amount will begin at $50 on the first trial and will be adjusted following each trial. Participants cues created during treatment will be displayed during the task. To calculate discount rates hyperbolic discounting model will be used V=A/1+kD where V is discounted value, A is reward amount, D is delay and k is a free parameter that indexes the rate of discounting. k values are transformed using natural log. Higher scores indicate more choices for immediate reward. Change is assessed using repeated measures.
Time Frame
Baseline (0 weeks), 12 weeks and 24 weeks
Title
Change From Baseline in Weight
Description
Weight measured in kilograms. Change is assessed using repeated measures.
Time Frame
Baseline (0 weeks), 12 weeks, and 24 weeks
Title
Change From Baseline in Glycemic Control
Description
Glycemic control will be measured as hemoglobin A1c (HbA1c), which is the percentage of glycated hemoglobin within total hemoglobin. Change is assessed using repeated measures.
Time Frame
Baseline (0 weeks), 12 weeks and 24 weeks
Secondary Outcome Measure Information:
Title
Change in Medication Adherence
Description
Adherence to prescribed medication for co-morbid hypertension and/or hyperlipidemia will be assessed using pill counts. Experimenter will count pills 2x and record number of pills, medication, dosage and fill date. Adherence percentage is calculated [(Quantity of pills dispensed - remaining)/(quantity prescribed per day*days since last refill)] *100. Change is assessed using repeated measures.
Time Frame
Baseline (0 weeks), 12 weeks and 24 weeks
Title
Changes in Physical Activity
Description
Physical activity, as one index of behavioral health and a target of the behavioral weight loss treatment, was measured using an Actigraph Accelerometer. Participants will be asked to wear an Actigraph Accelerometer for at least 10 hours per day for approximately one week. Accelerometer data was filtered using ActiLife, for 90 minutes consecutive non-wear and by participants wear time diaries. The main outcome measure was percent of time engaged in moderate to vigorous activity (MVPA) (MET>3.00). Change is assessed using repeated measures.
Time Frame
Baseline (0 weeks), 12 weeks and 24 weeks
Title
Change in Total Calories
Description
Dietary intake, as an index of behavioral health and a target of the treatment, was measured using 3 automated self-administered 24-hour multi-pass food recalls. Total calories were averaged across the three sessions for each timepoint. Change was assessed using repeated measures.
Time Frame
Baseline (0 weeks), 12 weeks and 24 weeks
Title
Changes in Working Memory
Description
Visuospatial working memory will be measured using the Backwards Corsi block-tapping task. The total score, or (number of trials completed correctly (out of 14 trials) x longest correctly reported block of items (2 - 8 items) ). Possible scores range from 0 (minimum) - (112) maximum. Higher scores indicate better working memory. Change is assessed using repeated measures
Time Frame
Baseline (0 weeks), 12 weeks and 24 weeks
Other Pre-specified Outcome Measures:
Title
Changes in Relative Reinforcing Efficacy of Unhealthy Food
Description
Relative Reinforcing efficacy of food is measured with a hypothetical purchasing task, in which number two foods are available and number of portions of food purchased at various prices ($0 - $20) is measured. Foods used were considered unhealthy snack foods, e.g. cookies, potato chips, etc. Intensity, the number of portions of food requested when the price is $0, was used as the outcome measure. Significant non-normality of the data required a log base 10 transformation (log (food portions + 1). Larger numbers represent more food portions, higher intensity and higher reinforcing efficacy. Change is assessed using repeated measures.
Time Frame
Baseline (0 weeks), 12 weeks and 24 weeks
10. Eligibility
Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
74 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
Overweight or obese (BMI ≥ 25)
Prediabetes (HbA1c between 5.7 - 6.4%; 39-40 mmol/mol)
Exclusion Criteria:
Type 2 Diabetes
Use of diabetic drugs
Pregnancy
Not ambulatory
Intellectual impairment
Unmanaged mood disorders
Current substance use disorder (excluding nicotine and caffeine)
History of eating disorders (Except binge eating disorder)
Abnormal blood glucose related to medications
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Leonard H Epstein, PhD
Organizational Affiliation
State University of New York at Buffalo
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Warren K Bickel, PhD
Organizational Affiliation
Virginia Polytechnic Institute and State University
Official's Role
Principal Investigator
Facility Information:
Facility Name
University at Buffalo, Department of Pediatrics, Division of Behavioral Medicine
City
Buffalo
State/Province
New York
ZIP/Postal Code
14214
Country
United States
Facility Name
Fralin Biomedical Research Institute, Virginia Tech Carilion
City
Roanoke
State/Province
Virginia
ZIP/Postal Code
24016
Country
United States
12. IPD Sharing Statement
Plan to Share IPD
No
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Weight Loss for Prediabetes Using Episodic Future Thinking
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