NCT06700525

Brief Summary

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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
48

participants targeted

Target at P25-P50 for not_applicable

Timeline
6mo left

Started Jul 2025

Geographic Reach
1 country

2 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress66%
Jul 2025Dec 2026

First Submitted

Initial submission to the registry

November 20, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

November 22, 2024

Completed
7 months until next milestone

Study Start

First participant enrolled

July 1, 2025

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2026

Expected
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 15, 2026

Last Updated

January 12, 2026

Status Verified

December 1, 2025

Enrollment Period

12 months

First QC Date

November 20, 2024

Last Update Submit

January 8, 2026

Conditions

Keywords

sedentary behavioraction planningevening sedentary screen timemHealth

Outcome Measures

Primary Outcomes (1)

  • Changes in Sedentary Screen Time

    Minutes per week as measured by Stand UPTV app and activPAL

    Baseline, 4 months, 12 months

Secondary Outcomes (4)

  • Changes in moderate to vigorous physical activity

    Baseline, 4 months, 12 months

  • Changes in Sleep Quality

    Baseline, 4 months, 12 months

  • Changes in Glucose Metabolism

    Baseline, 4 months, 12 months

  • HbA1c Level

    Baseline, 4 months, 12 months

Study Arms (2)

StandUPTV only

EXPERIMENTAL

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

StandUPTV + Action Plans

EXPERIMENTAL

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 FormationBehavioral: Sedentary Screen Time Reduction Smartphone App

Interventions

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.

StandUPTV + Action Plans

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.

StandUPTV + Action PlansStandUPTV only

Eligibility Criteria

Age23 Years - 64 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • 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

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Arizona State University

Tempe, Arizona, 85281, United States

RECRUITING

California Polytechnic University San Luis Obispo

San Luis Obispo, California, 93407, United States

RECRUITING

MeSH Terms

Conditions

Sedentary BehaviorMotor ActivitySleep Initiation and Maintenance Disorders

Condition Hierarchy (Ancestors)

BehaviorSleep Disorders, IntrinsicDyssomniasSleep Wake DisordersNervous System DiseasesMental Disorders

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
Outcomes assessor will not have access to study arm assignment and participants will be encouraged not to divulge their study arm assignment during assessments.
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

November 20, 2024

First Posted

November 22, 2024

Study Start

July 1, 2025

Primary Completion (Estimated)

June 30, 2026

Study Completion (Estimated)

December 15, 2026

Last Updated

January 12, 2026

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will share

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.

Shared Documents
STUDY PROTOCOL, SAP, ANALYTIC CODE
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.
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.
More information

Locations