None listed
Conditions
Brief summary
The project aims to investigate the efficacy of computerised inhibitory control training on unhealthy food consumption in obese adolescents and adults. Outcome measures will include consumption of various food types, attitudes towards food, and electrophysiological indices of approach/avoidance during exposure to food stimuli. Training will involve daily sessions playing an iOS app designed to reduce responses to unhealthy food, while encouraging responses to healthy foods. Using a waitlist control design the study will test both the efficacy of the app, and the viability of the intense training schedule.
Interventions
The intervention is based on cognitive training. It does not involve pharmacological agents. Participants are randomly assigned to a Control or Training condition, based on a random permutation calculator (http://www.randomizer.org).
Participants in the Training condition are required to utilize the NoGo training app once a day to play 10 games, taking about 1 minute per game. Training is completed at a time and place convenient to the participant. The NoGo app requires participants to pres
The intervention is based on cognitive training. It does not involve pharmacological agents. Participants are randomly assigned to a Control or Training condition, based on a random permutation calculator (http://www.randomizer.org). Participants in the Training condition are required to utilize the NoGo training app once a day to play 10 games, taking about 1 minute per game. Training is completed at a time and place convenient to the participant. The NoGo app requires participants to press buttons to select images of healthy foods (e.g. fruit, vegetables and activities) as quickly and accurately as possible and not press to select less healthy choices (e.g. hamburgers, chips, cupcakes, etc). Training will take place for 10 minutes per day over a 14 day period, which equates to a total training time of 140 minutes over 2 weeks. Adherence is monitored by the training application, which records the task performance data and training date/time. The research team will monitor training rate and contact participant if the rate is too slow.
Sponsors
University of Wollongong
Study design
Allocation
Randomised controlled trial
Intervention model
Parallel
Primary purpose
Treatment
Masking
Open (masking not used)
Eligibility
Sex/Gender
All
Age
13 Years to No maximum
Healthy volunteers
No
Inclusion criteria
Participants were required to be over 13 years of age, have a BMI over 25, and possess an iOS device in order to access the training app.
Exclusion criteria
Participants were excluded if they did not complete both experimental sessions, or failed to play more than 90 training games. Participants were excluded if they had any clinical neurological disorder, and non-normal hearing and vision.
Outcome results
None listed