StandUPTV Habits: Feasibility Trial for Maintaining Reductions in Sedentary Screen Time
Part of paid clinical trials in Tempe, Arizona.
- Sponsor
- Arizona State University
- Study ID
- NCT06700525
- Status
- Recruiting
Conditions
- Glucose Metabolism
- HbA1c Level
- Physical Activity
- Screen Time
- Sedentary Behaviors
- Sleep Quality
Eligibility Criteria
- Sex
- ALL
- Age
- 23 Years - 64 Years
- Healthy Volunteers
- Not accepted
Interventions
- Non-Sedentary Behavior Habit Formation — BEHAVIORALAction Plans Addition to the StandUPTV platform: The StandUPTV mHealth platform will be used to assess SST and deliver behavior change components. Participants will receive a technology kit including a Fitbit Charge 4+ and Wi-Fi-enabled smart plugs. The Fitbit and smart plugs will need to be used for the entire duration of the study participation. Participants will also be assisted with establishing an action plan for a non-sedentary break from evening sedentary screen time, which will be trigger by a StandUPTV alert delivered after performing 30 minutes of evening sedentary screen time.
- Sedentary Screen Time Reduction Smartphone App — BEHAVIORALThe StandUPTV application is used to monitor and reduce sedentary screen time (SST). The StandUPTV app has three components: LOCKOUT: Electronic lockout turns off screens when a predetermined limit is reached (50% of baseline value of weekly sedentary screen time). The app also includes planning tools and personalized strategies to limit SST. TEXT: Push notification prompts provide reminders, coaching, and personalized feedback (up to 2 per day). EARN: Opportunities to earn SST by engaging in MVPA, measured in 10-minute bouts.
Study Details
Our goal in this study is to further refine StandUPTV, an application designed to reduce SST in adults in our first study (ASU IRB # STUDY00012109), for the StandUPTV Habits program. This program aims to establish a non-sedentary habit triggered by an alert from the StandUPTV application after participants engage in approximately 30 minutes of SST in the evening.
Key Dates
- Start date
- Jul 1, 2025
- Status verified
- Dec 2025
- Primary completion
- Jun 30, 2026
- Completion
- Dec 15, 2026
Study Design
- Enrollment
- 48 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- TREATMENT
Arms
- Experimental: StandUPTV onlyThe StandUPTV application is used to monitor and reduce sedentary screen time (SST). The StandUPTV app has three components: LOCKOUT: Electronic lockout turns off screens when a predetermined limit is reached (50% of baseline value of weekly sedentary screen time). The app also includes planning tools and personalized strategies to limit SST. TEXT: Push notification prompts provide reminders, coaching, and personalized feedback (up to 2 per day). EARN: Opportunities to earn SST by engaging in MVPA, measured in 10-minute bouts.
- Experimental: StandUPTV + Action PlansCombining the StandUPTV application with personalized action plans to enhance the maintenance of reduced eSST. At baseline, participants will receive Action Planning Education, action planning worksheet, and weekly personalized text messages reinforcing the action plan. Participant will then receive a daily StandUPTV alert after performing 30 minutes of eSST, and they have 60 minutes after the alert to engage in their active chosen non-sedentary behavior. Financial Incentives: Participants can earn up to $30 per month during the 4-month intervention by starting 10 minutes of their non-sedentary replacement behavior within 60 minutes of the alert. Participants start with $30 in their account and lose $2 for each day they do not perform the behavior. Notifications will be sent via SMS and the StandUPTV app.
Primary Outcome Measure
Changes in Sedentary Screen Time [ Time Frame: Baseline, 4 months, 12 months ]
Locations (2)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Arizona State University | Tempe | Arizona | 85281 | |
| California Polytechnic University San Luis Obispo | San Luis Obispo | California | 93407 |
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