Gamified App on Increasing Physical Activity and Reducing Anxiety in Autism
NCT ID: NCT05466617
Last Updated: 2022-07-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
24 participants
INTERVENTIONAL
2019-07-01
2020-05-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Objective: This study aimed to compare the effectiveness of a gamified and behavior change technique-based mobile app, PuzzleWalk, versus a commercially available app, Google Fit, on increasing PA and reducing sedentary time as an adjunct anxiety treatment for this population.
Methods: A total of 24 adults with ASD were assigned to either the PuzzleWalk or Google Fit group for 5 weeks using a covariate-adaptive randomization design. PA and anxiety were assessed over 7 days at 3 different data collection periods (ie, baseline, intervention start, and intervention end) using triaxial accelerometers and the Beck Anxiety Inventory. Group differences in outcome variables were assessed using repeated-measures analysis of covariance, adjusting for age, sex, and BMI.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Physical Exercise to Reduce Anxiety in Underserved Children With ASD
NCT02902952
Effect of Virtual Reality-based Training on Balance and Walking in Youth With Autism Spectrum Disorder
NCT06023563
Effects of a Multimodal Exercise Program for Children With ASD
NCT05509231
Effect of a Social Script iPAD Application for Children With Autism Spectrum Disorder
NCT01655485
Mindfulness Intervention for Caregivers of Autism in Rural Environments
NCT06169501
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
PuzzleWalk
PuzzleWalk incorporates behavior change techniques (BCTs), a theory-based method of promoting healthy behavior change by leveraging psychological determinants. The example techniques included in PuzzleWalk are a comprehensive, visualized user guide, self-monitoring of target performance, contingent rewards, and goal setting.
It is a spot the difference puzzle game comprising 660 major city images around the world. This format was chosen because it is easy to understand the purpose of the game, and it can quickly capture the user's interests without a complex comprehension process. Moreover, this visual image-based game facilitates visual interaction, which is a unique strength of individuals with ASD. The most unique design element of PuzzleWalk is the conversion algorithm between steps and game-solving time. Specifically, the user's accumulated steps are directly converted to game-solving time to motivate PA participation.
Mobile Health for Physical Activity Behavior Change
All participants received visualized step-by-step instructions (eg, search and download on Google Play or App Store, user registration, goal setting, and PA behavior tracking) on the assigned PA app (PuzzleWalk or Google Fit) and used it from the beginning of the intervention start (fourth week) until the end of the intervention (eighth week). Both the PuzzleWalk and Google Fit groups received reminders regarding the use of the PA app during the first week of the intervention period and autonomously continued to use the app until the intervention ended.
Google Fit
Google Fit (Google LLC) is a PA-tracking platform developed by Google for Android and Apple iOS. The app uses a sensor built into a smartphone device to automatically track PA, including steps and active minutes. It also allows users to journal and record a variety of forms of PA (eg, cycling, weightlifting, and yoga) by manually setting the activity tracking mode. Google Fit uses a heart point-based reward system as a gamification strategy to provide users with individualized exercise tips incorporated with PA recommendations outlined by the American Heart Association. The number of heart points received based on active minutes is the app's primary gamification strategy.
Mobile Health for Physical Activity Behavior Change
All participants received visualized step-by-step instructions (eg, search and download on Google Play or App Store, user registration, goal setting, and PA behavior tracking) on the assigned PA app (PuzzleWalk or Google Fit) and used it from the beginning of the intervention start (fourth week) until the end of the intervention (eighth week). Both the PuzzleWalk and Google Fit groups received reminders regarding the use of the PA app during the first week of the intervention period and autonomously continued to use the app until the intervention ended.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Mobile Health for Physical Activity Behavior Change
All participants received visualized step-by-step instructions (eg, search and download on Google Play or App Store, user registration, goal setting, and PA behavior tracking) on the assigned PA app (PuzzleWalk or Google Fit) and used it from the beginning of the intervention start (fourth week) until the end of the intervention (eighth week). Both the PuzzleWalk and Google Fit groups received reminders regarding the use of the PA app during the first week of the intervention period and autonomously continued to use the app until the intervention ended.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Access to a supported device (smartphones with Android 4.4 and higher or iOS 9.0 and higher operating system)
* Cognitive ability to understand the purpose of the study
* No prior experience using the PA mobile apps used in the study
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
American College of Sports Medicine Foundation
UNKNOWN
Indiana University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Georgia Frey
Associate Professor Kinesiology
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Georgia Frey, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Indiana University
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Indiana University School of Public Health
Bloomington, Indiana, United States
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Lee D, Frey GC, Cothran DJ, Harezlak J, Shih PC. Effects of a Gamified, Behavior Change Technique-Based Mobile App on Increasing Physical Activity and Reducing Anxiety in Adults With Autism Spectrum Disorder: Feasibility Randomized Controlled Trial. JMIR Form Res. 2022 Jul 28;6(7):e35701. doi: 10.2196/35701.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Informed Consent Form
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
1807483245
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.