Training Response Inhibition to Obesogenic Foods

Sponsor
Drexel University (Other)
Overall Status
Completed
CT.gov ID
NCT04659837
Collaborator
(none)
125
1
2
42
3

Study Details

Study Description

Brief Summary

Dietary choices, and in particular, excess calorie intake leading to obesity, are strong, but reversible risk factors for cancer. For example, foods high in added sugars are low-nutrient, high calorie foods that increase the risk of cancer by promoting weight gain. As such, the reduction of sweets is consistent with American Institute for Cancer Research and the American Cancer Society dietary recommendations. Behavioral interventions to alter diet have limited long-term efficacy, most likely because eating decisions are governed by automatic neurocognitive processes that are not addressed in conventional interventions. In particular, the ability to refrain from consuming unhealthy, but widely available, palatable foods, is increasingly understood to depend on inhibitory control, i.e., the ability to cut off action tendencies that are put in motion by innate drives towards rewarding behaviors. Recent work by our team and others have demonstrated that computer-based inhibitory control trainings result in short-term, specific changes in behavior, such as reducing intake of salty snack food, chocolate, and alcoholic beverages. An automatized, home computer-based inhibitory control training offers the potential of an inexpensive and highly disseminable method of lowering cancer risk across wide swaths of the population. As such, we aim to evaluate the feasibility, acceptability, mechanism of action, effectiveness and persistence of a home computer-based inhibitory control training. In particular, we hypothesize that a high-repetition training in inhibitory control will result in increased adherence to a low-sugar diet, and that effects will be mediated through improved inhibitory control. We further hypothesize that gamefying the training will improve efficacy because it will boost compliance with the daily trainings. We also hypothesize that the training will be most effective for those starting of with impaired inhibitory control, as well as those with strongest desire for palatable foods and those with strongest explicit health goals. Lastly, we aim to examine the impact of inhibitory control training on secondary outcomes, including on overall caloric intake, and on short-term weight loss. To achieve these aims, the proposed study will recruit 100 overweight and obese individuals who currently eat high-sugar diets, and who wish to improve their diets. Participants will be assigned a reduced-sugar diet for 8 weeks. After a baseline period, participants will be randomized, via a 2 x 2 factorial design, to receive 6 weeks of either inhibitory control training or a sham training, and either a gamified or non-gameified training. The 6-week intervention will consist of 15 minutes per day of home computer- based inhibitory control training, and will be followed by a 1-week booster and then 1-week follow-up period. Dietary adherence will be measured via a food frequency questionnaire and via automated 24-hour food recall. Neurocognitive variables will be assessed pre and post-training in order to test trainings' mechanism of action, and moderation will be assessed through baseline trait measures of explicit health goals, implicit attitudes towards appetitive stimuli, body mass index, and responsivity to food cues.

Condition or Disease Intervention/Treatment Phase
  • Behavioral: No-Added-Sugar Diet
N/A

Study Design

Study Type:
Interventional
Actual Enrollment :
125 participants
Allocation:
Randomized
Intervention Model:
Factorial Assignment
Masking:
Single (Participant)
Primary Purpose:
Treatment
Official Title:
Reducing Cancer Risk by Training Response Inhibition to Obesogenic Foods
Actual Study Start Date :
Jun 1, 2016
Actual Primary Completion Date :
Aug 7, 2019
Actual Study Completion Date :
Dec 1, 2019

Arms and Interventions

Arm Intervention/Treatment
Active Comparator: Inhibitory Control Training

Active Inhibitory Control Training vs. Sham Inhibitory Control Training

Behavioral: No-Added-Sugar Diet
All participants received a no-added-sugar dietary intervention and followed the diet during the course of the study.

Other: Gameification

Gameified elements added vs. No gameified elements added

Behavioral: No-Added-Sugar Diet
All participants received a no-added-sugar dietary intervention and followed the diet during the course of the study.

Outcome Measures

Primary Outcome Measures

  1. Weight [8 weeks]

  2. Sweets consumption [8 weeks]

  3. Inhibitory control in response to high-sugar foods [8 weeks]

    Inhibitory control in response to high-sugar foods is measured via performance (i.e., speed of inhibiting prepotent responses to high-sugar food stimuli) on the daily inhibitory control training (i.e., Go/No-Go) task.

Secondary Outcome Measures

  1. Compliance with daily inhibitory control training prescription [8 weeks]

    Compliance with completing the daily inhibitory control training prescription will be measured as the number of days the task was completed out of the total number of days it was prescribed.

  2. Enjoyment of the daily training task [8 weeks]

    Enjoyment and acceptability of the inhibitory control training will be assessed using self-report. Participants will be asked to rate how 'fun' and 'boring' the training was on a Likert scale.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 65 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • BMI 25-50

  • Baseline consumption of ≥ 3 servings/day of high-sugar foods

Exclusion Criteria:
  • Medical or psychiatric conditions that could interfere with the ability to comply with diet recommendations,

  • pregnancy (or planning to become pregnant in the next 12 months) or current breastfeeding,

  • a history of bariatric surgery,

  • weight loss of five percent or more within the last six months

  • beginning or changing a dosage of a weight-affecting medication within the last three months

Contacts and Locations

Locations

Site City State Country Postal Code
1 Drexel University Philadelphia Pennsylvania United States 19104

Sponsors and Collaborators

  • Drexel University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Drexel University
ClinicalTrials.gov Identifier:
NCT04659837
Other Study ID Numbers:
  • R21CA191859
First Posted:
Dec 9, 2020
Last Update Posted:
Dec 9, 2020
Last Verified:
Dec 1, 2019
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No

Study Results

No Results Posted as of Dec 9, 2020