StandUPTV Habits: Feasibility Trial for Maintaining Reductions in Sedentary Screen Time (SUTV Habits)

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.

Study Overview

• Status: Recruiting
• Conditions: Physical Activity; Sleep Quality; Glucose Metabolism; Screen Time; HbA1c Level; Sedentary Behaviors
• Intervention / Treatment: Behavioral: Non-Sedentary Behavior Habit Formation; Behavioral: Sedentary Screen Time Reduction Smartphone App

Detailed Description

This mobile health (mHealth) pilot study aims to develop and test an intervention designed to maintain reductions in evening sedentary screen time (eSST) over a 12-month period. The study will target a nationally recruited sample of adults at risk for type 2 diabetes and will employ a novel habit formation strategy to address individual barriers to sustained behavior change. As a Phase II pilot study within the ORBIT Model framework, this research seeks to provide critical insights into the relationship between maintained reductions in eSST and metabolic health. The intervention combines theory- and evidence-based approaches, leveraging commercially available screen time monitoring tools to scale the StandUPTV application. This pilot study will lay the groundwork for a subsequent Phase III fully-powered randomized clinical trial, aiming to evaluate the impact of sustained eSST reduction on diabetes and cardiovascular disease risk in a national sample.

• Study Type: Interventional
• Enrollment (Estimated): 48
• Phase: Not Applicable

Contacts and Locations

Study Locations

• United States
  • Arizona
    • Tempe, Arizona, United States, 85281
      • Recruiting
      • Arizona State University
      • Contact: Chad Stecher; Phone Number: 602-496-0957; Email: Chad.Stecher@asu.edu
  • California
    • San Luis Obispo, California, United States, 93407
      • Recruiting
      • California Polytechnic University San Luis Obispo
      • Contact: Sarah Keadle; Phone Number: 805-756-1785; Email: skeadle@calpoly.edu

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult
• Accepts Healthy Volunteers: No

Description

Inclusion Criteria:

• Insufficiently active as defined by not meeting current US National Guidelines for Physical Activity of 150 minutes of MVPA/week (Measured by the Stanford
• Leisure-Time Activity Categorical Item)
• > 3 hours of SST per day
• Use Android (8.0+) smartphone (8.0+ represents 95% of Android device coverage per https://apilevels.com/)
• Have regular broadband internet in their home or an unlimited data plan
• Able to read/understand English (>5th grade literacy)
• Willing to download StandUPTV Habits
• Willing to wear activPAL and CGM device during study assessment periods
• Willing to have data shared in de-identified form in Dexcom Clarity platform
• Willing to be randomized to either study condition
• Not traveling overnight or longer in the next 4 months

Exclusion Criteria:

• Planned relocation
• Current smoker
• Have a major illness (e.g., heart disease, cancer, renal disease) for which MVPA is contraindicated
• Diagnosed with diabetes or gestational diabetes in the past
• Currently using a CGM
• Pregnant
• Occupation that requires substantial use of personal device for media-related activities (e.g., social media)
• Drug abuse
• Serious psychological disorder
• Not willing to use Fitbit or smart plugs for calculation of sedentary screen time for functionality of StandUPTV app

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Treatment
• Allocation: Randomized
• Interventional Model: Parallel Assignment
• Masking: Single

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: StandUPTV only; The 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.	Behavioral: Non-Sedentary Behavior Habit Formation; Action 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.
Experimental: StandUPTV + Action Plans; Combining 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.	Behavioral: Non-Sedentary Behavior Habit Formation; Action 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.; Behavioral: Sedentary Screen Time Reduction Smartphone App; The 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Changes in Sedentary Screen Time	Minutes per week as measured by Stand UPTV app and activPAL	Baseline, 4 months, 12 months

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Changes in moderate to vigorous physical activity	Minutes per week as measured by activPAL	Baseline, 4 months, 12 months
Changes in Sleep Quality	Measured in minutes of deep sleep	Baseline, 4 months, 12 months
Changes in Glucose Metabolism	Measured HbA1c levels	Baseline, 4 months, 12 months
HbA1c Level	Participants continuous glucose monitoring data will be used to estimates HbA1c levels	Baseline, 4 months, 12 months

Collaborators and Investigators

• Sponsor: Arizona State University
• Collaborators: National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK); National Institutes of Health (NIH); California Polytechnic State University-San Luis Obispo

Study record dates

Study Major Dates

• Study Start (Actual): July 1, 2025
• Primary Completion (Estimated): June 30, 2026
• Study Completion (Estimated): December 15, 2026

Study Registration Dates

• First Submitted: November 20, 2024
• First Submitted That Met QC Criteria: November 20, 2024
• First Posted (Actual): November 22, 2024

Study Record Updates

• Last Update Posted (Estimated): January 12, 2026
• Last Update Submitted That Met QC Criteria: January 8, 2026
• Last Verified: December 1, 2025

More Information

Terms related to this study

• Keywords: mHealth; action planning; sedentary behavior; evening sedentary screen time
• Additional Relevant MeSH Terms: Nervous System Diseases; Mental Disorders; Sleep Wake Disorders; Sleep Disorders, Intrinsic; Dyssomnias; Behavior; Sleep Initiation and Maintenance Disorders; Motor Activity; Sedentary Behavior
• Other Study ID Numbers: STUDY00020613; 1R01DK135488-01A1 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: YES
• IPD Plan Description: The investigators will share de-identified data on participants sedentary screen time and intervention arm, along with some demographic information and all other outcomes assessed, such as glucose metabolism and sleep.
• IPD Sharing Time Frame: The investigators will share de-identified data as soon as possible, and no later than the end of the study period. Study data deposited in the ASU Research Data Repository and code deposited in GitHub will be available to the research community in perpetuity.
• IPD Sharing Access Criteria: Anyone will have access to the de-identified data from this study. The investigators will identify where the data will be available and how to access the data in any publications and presentations that the investigators author or co-author about these data, as well as acknowledge the repositories and funding source in any publications and presentations. The ASU Research Data Repository provides a permanent digital identifier for research data, which complies with NIH data sharing policies. Our analytic code on GitHub can be found by searching for "StandUPTVHabits" on GitHub.
• IPD Sharing Supporting Information Type: STUDY_PROTOCOL; SAP; ANALYTIC_CODE

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No
• product manufactured in and exported from the U.S.: No