Gamified App on Increasing Physical Activity and Reducing Anxiety in Autism

NCT05466617 | Completed

• 1 other identifier: 1807483245
• Study Type: interventional
• Target: 24
• Locations: 1 country
• Sites: 1

Brief Summary

Background: Physical activity (PA) has an impact on physical and mental health in neurotypical populations, and addressing these variables may improve the prevalent burden of anxiety in adults with autism spectrum disorder (ASD). Gamified mobile apps using behavior change techniques present a promising way of increasing PA and reducing sedentary time, thus reducing anxiety in adults with ASD. 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.

Conditions

Autism Spectrum Disorder; Physical Activity; Anxiety; Mobile Health

Outcome Measures

Primary Outcomes (1)

• Baseline Physical Activity and Changes from Baseline Physical Activity at 4th and 8th weeks

  Accelerometer-Measured Objective Physical Activity Levels

  7 days over three different data collection periods (total 21 days)

Secondary Outcomes (1)

• Baseline Anxiety and Changes from Baseline Anxiety at 4th and 8th weeks

  7 days over three different data collection periods (total 21 days)

Study Arms (2)

PuzzleWalk

EXPERIMENTAL

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.

Behavioral: Mobile Health for Physical Activity Behavior Change

Google Fit

EXPERIMENTAL

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.

Behavioral: Mobile Health for Physical Activity Behavior Change

Interventions

Mobile Health for Physical Activity Behavior Change BEHAVIORAL

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; PuzzleWalk

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Self-reported medical diagnosis of anxiety or self-identification of experiencing anxiety symptoms for the past 3 or more months
• 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

You may not qualify if:

• Individuals with low cognitive function, co-occurring intellectual disabilities, or mobility impairments

Sponsors & Collaborators

• Indiana University: lead
• American College of Sports Medicine Foundation: collaborator

Study Sites (1)

Indiana University School of Public Health

Bloomington, Indiana, 47405, United States

Location

Related Publications (1)

• 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.

  PMID: 35900808 DERIVED

MeSH Terms

Conditions

Autism Spectrum Disorder; Motor Activity; Anxiety Disorders

Interventions

Telemedicine

Condition Hierarchy (Ancestors)

Child Development Disorders, Pervasive; Neurodevelopmental Disorders; Mental Disorders; Behavior

Intervention Hierarchy (Ancestors)

Delivery of Health Care; Patient Care Management; Health Services Administration

Study Officials

• Georgia Frey, Ph.D.

  Indiana University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor Kinesiology

Model Details: Two-group Randomized Controlled Trial

Study Record Dates

• First Submitted: July 11, 2022
• First Posted: July 20, 2022
• Study Start: July 1, 2019
• Primary Completion: March 15, 2020
• Study Completion: May 30, 2020
• Last Updated: July 20, 2022

Record last verified: 2022-07

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)