Trial Outcomes & Findings for Weight Loss for Prediabetes Using Episodic Future Thinking (NCT NCT03670602)
NCT ID: NCT03670602
Last Updated: 2022-12-09
Results Overview
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.
COMPLETED
NA
64 participants
Baseline (0 weeks), 12 weeks and 24 weeks
2022-12-09
Participant Flow
Participants with prediabetes (HbA1c) between 5.7 to 6.4% Participants had no prior or current diagnosis of diabetes, were not pregnant and were not taking medications that influenced their blood glucose.
Participants (n=933) completed a prescreen internet survey and n=294 were screened in our laboratory. N=72 participated in the initial weight loss and 8 participants declined or did not qualify to enroll in the randomized study. 64 participants were randomized between intervention and control groups.
Participant milestones
| Measure |
Episodic Future Thinking (EFT)
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Overall Study
STARTED
|
31
|
33
|
|
Overall Study
Received Intervention Treatment
|
30
|
30
|
|
Overall Study
Completed Session 2 (Week 12)
|
29
|
30
|
|
Overall Study
Completed Session 3 (Week 24)
|
28
|
31
|
|
Overall Study
COMPLETED
|
30
|
30
|
|
Overall Study
NOT COMPLETED
|
1
|
3
|
Reasons for withdrawal
| Measure |
Episodic Future Thinking (EFT)
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Overall Study
Lost to Follow-up
|
1
|
0
|
|
Overall Study
Withdrawal by Subject
|
0
|
3
|
Baseline Characteristics
Weight Loss for Prediabetes Using Episodic Future Thinking
Baseline characteristics by cohort
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
Total
n=64 Participants
Total of all reporting groups
|
|---|---|---|---|
|
Age, Continuous
|
55.0 Years
STANDARD_DEVIATION 10.4 • n=5 Participants
|
54.1 Years
STANDARD_DEVIATION 9.3 • n=7 Participants
|
54.6 Years
STANDARD_DEVIATION 9.8 • n=5 Participants
|
|
Sex: Female, Male
Female
|
25 Participants
n=5 Participants
|
26 Participants
n=7 Participants
|
51 Participants
n=5 Participants
|
|
Sex: Female, Male
Male
|
6 Participants
n=5 Participants
|
7 Participants
n=7 Participants
|
13 Participants
n=5 Participants
|
|
Race (NIH/OMB)
American Indian or Alaska Native
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Asian
|
0 Participants
n=5 Participants
|
2 Participants
n=7 Participants
|
2 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Black or African American
|
6 Participants
n=5 Participants
|
4 Participants
n=7 Participants
|
10 Participants
n=5 Participants
|
|
Race (NIH/OMB)
White
|
21 Participants
n=5 Participants
|
24 Participants
n=7 Participants
|
45 Participants
n=5 Participants
|
|
Race (NIH/OMB)
More than one race
|
2 Participants
n=5 Participants
|
2 Participants
n=7 Participants
|
4 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
2 Participants
n=5 Participants
|
1 Participants
n=7 Participants
|
3 Participants
n=5 Participants
|
|
Region of Enrollment
United States
|
31 participants
n=5 Participants
|
33 participants
n=7 Participants
|
64 participants
n=5 Participants
|
|
Body Mass Index (BMI)
|
37.0 kg/m^2
STANDARD_DEVIATION 7.2 • n=5 Participants
|
38.0 kg/m^2
STANDARD_DEVIATION 6.9 • n=7 Participants
|
37.5 kg/m^2
STANDARD_DEVIATION 7.0 • n=5 Participants
|
|
HbA1c (%)
|
5.90 percentage of glycosylated hemoglobin
STANDARD_DEVIATION 0.29 • n=5 Participants
|
5.91 percentage of glycosylated hemoglobin
STANDARD_DEVIATION 0.29 • n=7 Participants
|
5.90 percentage of glycosylated hemoglobin
STANDARD_DEVIATION 0.29 • n=5 Participants
|
|
Education
|
15.7 years
STANDARD_DEVIATION 2.2 • n=5 Participants
|
15.5 years
STANDARD_DEVIATION 2.3 • n=7 Participants
|
15.6 years
STANDARD_DEVIATION 2.2 • n=5 Participants
|
|
Annual Household Income
|
37500 US$
STANDARD_DEVIATION 27335 • n=5 Participants
|
48889 US$
STANDARD_DEVIATION 35608 • n=7 Participants
|
43090 US$
STANDARD_DEVIATION 31892 • n=5 Participants
|
|
Delay Discounting
|
-5.92 ln (k)
STANDARD_DEVIATION 2.33 • n=5 Participants
|
-6.11 ln (k)
STANDARD_DEVIATION 3.14 • n=7 Participants
|
-6.01 ln (k)
STANDARD_DEVIATION 2.73 • n=5 Participants
|
|
Site Enrollment
University at Buffalo
|
16 Participants
n=5 Participants
|
17 Participants
n=7 Participants
|
33 Participants
n=5 Participants
|
|
Site Enrollment
Virginia Tech Carillon
|
15 Participants
n=5 Participants
|
16 Participants
n=7 Participants
|
31 Participants
n=5 Participants
|
|
Timing of treatment with COVID-19 by cohort
Cohort 1; prior to COVID, in person
|
12 Participants
n=5 Participants
|
13 Participants
n=7 Participants
|
25 Participants
n=5 Participants
|
|
Timing of treatment with COVID-19 by cohort
Cohort 2; before and during COVID; 50% in person 50% remote
|
10 Participants
n=5 Participants
|
11 Participants
n=7 Participants
|
21 Participants
n=5 Participants
|
|
Timing of treatment with COVID-19 by cohort
Cohort 3 - during COVID, remote
|
9 Participants
n=5 Participants
|
9 Participants
n=7 Participants
|
18 Participants
n=5 Participants
|
PRIMARY outcome
Timeframe: Baseline (0 weeks), 12 weeks and 24 weeksPopulation: All participants were analyzed using mixed model methods, 5 participants did not complete DD measures at 12 weeks, and 5 participants did not complete DD measures at 24 weeks
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.
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Change From Baseline in Delay Discounting
Baseline Delay Discounting
|
-5.92 ln (k)
Standard Deviation 2.33
|
-6.11 ln (k)
Standard Deviation 3.14
|
|
Change From Baseline in Delay Discounting
Change from baseline in Delay discounting at 12 weeks
|
-3.09 ln (k)
Standard Deviation 2.63
|
-0.96 ln (k)
Standard Deviation 2.18
|
|
Change From Baseline in Delay Discounting
Change from baseline in Delay discounting at 24 weeks
|
-2.79 ln (k)
Standard Deviation 2.31
|
-1.33 ln (k)
Standard Deviation 2.04
|
PRIMARY outcome
Timeframe: Baseline (0 weeks), 12 weeks, and 24 weeksPopulation: Analyses were Intent to Treat (ITT) and included all randomized participants, using mixed models. 5 participants did not complete week 12 measures and 4 participants did not complete 24 week height and weight measures
Weight measured in kilograms. Change is assessed using repeated measures.
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Change From Baseline in Weight
Baseline Weight
|
102.3 kilograms
Standard Deviation 22.3
|
104.2 kilograms
Standard Deviation 23.2
|
|
Change From Baseline in Weight
Change from baseline in weight at 12 weeks
|
-6.8 kilograms
Standard Deviation 4.3
|
-7.2 kilograms
Standard Deviation 3.8
|
|
Change From Baseline in Weight
Change from baseline in weight at 24 weeks
|
-9.8 kilograms
Standard Deviation 6.5
|
-9.8 kilograms
Standard Deviation 5.6
|
PRIMARY outcome
Timeframe: Baseline (0 weeks), 12 weeks and 24 weeksPopulation: Analyses were Intention to Treat (ITT) and included all randomized participants. 5 participants did not complete 12 week measures, and 4 participants did not complete 24 week measures.
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.
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Change From Baseline in Glycemic Control
Baseline hBa1c
|
5.90 Percentage of glycosylated hemoglobin
Standard Deviation 0.29
|
5.91 Percentage of glycosylated hemoglobin
Standard Deviation 0.29
|
|
Change From Baseline in Glycemic Control
Change from baseline hBa1c at 12 weeks
|
-0.22 Percentage of glycosylated hemoglobin
Standard Deviation 0.36
|
-0.27 Percentage of glycosylated hemoglobin
Standard Deviation 0.28
|
|
Change From Baseline in Glycemic Control
Change from baseline hBa1c at 24 weeks
|
-0.35 Percentage of glycosylated hemoglobin
Standard Deviation 0.35
|
-0.39 Percentage of glycosylated hemoglobin
Standard Deviation 0.31
|
SECONDARY outcome
Timeframe: Baseline (0 weeks), 12 weeks and 24 weeksPopulation: Analyses were Intention to Treat (ITT) and included all randomized participants, using mixed model analyses. 3 participants did not completed baseline (0) medication adherence measurements, an additional 5 participants did not complete week 12 medication adherence measurements (total missing for change score n =8) and an additional 6 participants did not complete 24 week medication adherence measures (total missing for change score n=9)
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.
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Change in Medication Adherence
Change from baseline in medication adherence at 24 weeks
|
5.23 percent medication adherence
Standard Deviation 16.49
|
0.09 percent medication adherence
Standard Deviation 9.5
|
|
Change in Medication Adherence
Baseline medication adherence
|
84.3 percent medication adherence
Standard Deviation 21.0
|
91.7 percent medication adherence
Standard Deviation 17.2
|
|
Change in Medication Adherence
Change from baseline in medication adherence at 12 weeks
|
5.33 percent medication adherence
Standard Deviation 17.3
|
-0.25 percent medication adherence
Standard Deviation 19.5
|
SECONDARY outcome
Timeframe: Baseline (0 weeks), 12 weeks and 24 weeksPopulation: Analyses were Intention to Treat (ITT) and included all randomized participants, using mixed model analysis.
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.
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Changes in Physical Activity
Baseline percent MVPA
|
5.61 Percent of time
Standard Deviation 2.4
|
5.67 Percent of time
Standard Deviation 2.65
|
|
Changes in Physical Activity
Change from baseline in percent MVPA at 12 weeks
|
1.16 Percent of time
Standard Deviation 1.95
|
0.82 Percent of time
Standard Deviation 1.77
|
|
Changes in Physical Activity
Change from baseline in percent MVPA at 24 weeks
|
0.91 Percent of time
Standard Deviation 2.71
|
0.22 Percent of time
Standard Deviation 1.54
|
SECONDARY outcome
Timeframe: Baseline (0 weeks), 12 weeks and 24 weeksPopulation: Analyses were Intent to Treat (ITT) and included all randomized participants, using mixed models. 2 participants did not complete baseline measures, 9 participants did not complete week 12 measures and 10 participants did not complete week 24 measures. One participant did not complete measures at any timepoint.
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.
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Change in Total Calories
Baseline total daily calorie intake
|
1802.2 kilocalories
Standard Deviation 591.5
|
1886.3 kilocalories
Standard Deviation 594.7
|
|
Change in Total Calories
Change from baseline in total daily calorie intake at week 12
|
-542.5 kilocalories
Standard Deviation 599.3
|
-504.7 kilocalories
Standard Deviation 465.0
|
|
Change in Total Calories
Change from baseline in total daily calorie intake at week 24
|
-298.4 kilocalories
Standard Deviation 458.0
|
-568.3 kilocalories
Standard Deviation 363.5
|
SECONDARY outcome
Timeframe: Baseline (0 weeks), 12 weeks and 24 weeksPopulation: Analyses were Intent to Treat (ITT) and included all randomized participants, using mixed models. 8 participants did not complete week 12 measures and 5 participants did not complete 24 week measures
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
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Changes in Working Memory
Change from baseline in Backwards Corsi Total score at 24 weeks
|
6.9 score
Standard Deviation 17.6
|
4.5 score
Standard Deviation 13.5
|
|
Changes in Working Memory
Baseline Backwards Corsi Total Score
|
44.6 score
Standard Deviation 12.0
|
46.0 score
Standard Deviation 14.0
|
|
Changes in Working Memory
Change from baseline in backwards Corsi total score at 12 weeks
|
2.1 score
Standard Deviation 18.3
|
1.6 score
Standard Deviation 18.5
|
OTHER_PRE_SPECIFIED outcome
Timeframe: Baseline (0 weeks), 12 weeks and 24 weeksPopulation: Analyses were Intent to Treat (ITT) and included all randomized participants, using mixed models. 2 participants did not complete baseline measures, 6 participants did not complete week 12 measures and 6 participants did not complete week 24 measures of relative reinforcing efficacy. Two participants did not complete any measures of relative reinforcing efficacy.
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.
Outcome measures
| Measure |
Episodic Future Thinking (EFT)
n=31 Participants
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 Participants
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Changes in Relative Reinforcing Efficacy of Unhealthy Food
Baseline relative reinforcing efficacy of unhealthy food
|
0.926 log (food portions + 1)
Standard Deviation 0.483
|
0.998 log (food portions + 1)
Standard Deviation 0.375
|
|
Changes in Relative Reinforcing Efficacy of Unhealthy Food
Change from baseline in relative reinforcing efficacy of unhealthy food at 12 weeks
|
-0.351 log (food portions + 1)
Standard Deviation 0.466
|
-0.348 log (food portions + 1)
Standard Deviation 0.442
|
|
Changes in Relative Reinforcing Efficacy of Unhealthy Food
Change from baseline in relative reinforcing efficacy of unhealthy food at 24 weeks.
|
-0.328 log (food portions + 1)
Standard Deviation 0.545
|
-0.247 log (food portions + 1)
Standard Deviation 0.468
|
Adverse Events
Episodic Future Thinking (EFT)
Daily Check in (DCI)
Serious adverse events
| Measure |
Episodic Future Thinking (EFT)
n=31 participants at risk
Participants will generate positive future cues that will be accessed via an electronic app to engage in EFT.
Episodic Future Thinking: 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.
|
Daily Check in (DCI)
n=33 participants at risk
Participants will be asked to access an electronic app daily, but will receive no cues.
Daily Check in: 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.
|
|---|---|---|
|
Eye disorders
Torn Retina
|
3.2%
1/31 • Number of events 1 • 24 weeks
|
0.00%
0/33 • 24 weeks
|
Other adverse events
Adverse event data not reported
Additional Information
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place