[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100569921":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":25,"locations":29,"responsibleParty":64,"collaborators":68,"id":76,"slug":77,"hasResults":78,"nctId":79,"briefTitle":80,"officialTitle":80,"acronym":81,"eligibilityCriteria":82,"healthyVolunteers":78,"sex":83,"minAge":84,"maxAge":85,"enrollmentInfo":86,"targetDuration":25,"studyType":89,"phases":90,"briefSummary":92,"conditions":93,"keywords":100,"overallStatus":31,"whyStopped":25,"lastUpdateSubmitDate":105,"lastUpdatePostDateStruct":106,"startDateStruct":109,"completionDateStruct":111,"leadSponsor":113,"locationsCount":114},{"fullName":5,"class":6},"Arizona State University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"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.",[13],"Behavioral: Non-Sedentary Behavior Habit Formation",{"label":15,"type":10,"description":16,"interventionNames":17},"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.",[13,18],"Behavioral: Sedentary Screen Time Reduction Smartphone App",[20,26],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"BEHAVIORAL","Non-Sedentary Behavior Habit Formation","Action Plans Addition to the StandUPTV platform:\n\nThe 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.",[15,9],null,{"type":21,"name":27,"description":11,"armGroupLabels":28,"otherNames":25},"Sedentary Screen Time Reduction Smartphone App",[15],[30,49],{"facility":5,"status":31,"city":32,"state":33,"zip":34,"country":35,"countryCode":36,"cosmosGeoPoint":37,"geoPoint":42,"contacts":43},"RECRUITING","Tempe","Arizona","85281","United States","US",{"type":38,"coordinates":39},"Point",[40,41],-111.90931,33.41477,{"lat":41,"lon":40},[44],{"name":45,"role":46,"phone":47,"phoneExt":25,"email":48},"Chad Stecher","CONTACT","602-496-0957","Chad.Stecher@asu.edu",{"facility":50,"status":31,"city":51,"state":52,"zip":53,"country":35,"countryCode":36,"cosmosGeoPoint":54,"geoPoint":58,"contacts":59},"California Polytechnic University San Luis Obispo","San Luis Obispo","California","93407",{"type":38,"coordinates":55},[56,57],-120.65962,35.28275,{"lat":57,"lon":56},[60],{"name":61,"role":46,"phone":62,"phoneExt":25,"email":63},"Sarah Keadle","805-756-1785","skeadle@calpoly.edu",{"type":65,"investigatorFullName":66,"investigatorTitle":67,"investigatorAffiliation":5,"oldNameTitle":25,"oldOrganization":25},"PRINCIPAL_INVESTIGATOR","Chad Stecher@asu.edu","Assistant Professor",[69,71,74],{"name":70,"class":6},"California Polytechnic State University-San Luis Obispo",{"name":72,"class":73},"National Institutes of Health (NIH)","NIH",{"name":75,"class":73},"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)","100569921","standuptv-habits-feasibility-trial-for-maintaining-reductions-in-sedentary-screen-time-100569921",false,"NCT06700525","StandUPTV Habits: Feasibility Trial for Maintaining Reductions in Sedentary Screen Time","SUTV Habits","Inclusion Criteria:\n\n* Insufficiently active as defined by not meeting current US National Guidelines for Physical Activity of 150 minutes of MVPA\u002Fweek (Measured by the Stanford\n* Leisure-Time Activity Categorical Item)\n* \\> 3 hours of SST per day\n* Use Android (8.0+) smartphone (8.0+ represents 95% of Android device coverage per https:\u002F\u002Fapilevels.com\u002F)\n* Have regular broadband internet in their home or an unlimited data plan\n* Able to read\u002Funderstand English (\\>5th grade literacy)\n* Willing to download StandUPTV Habits\n* Willing to wear activPAL and CGM device during study assessment periods\n* Willing to have data shared in de-identified form in Dexcom Clarity platform\n* Willing to be randomized to either study condition\n* Not traveling overnight or longer in the next 4 months\n\nExclusion Criteria:\n\n* Planned relocation\n* Current smoker\n* Have a major illness (e.g., heart disease, cancer, renal disease) for which MVPA is contraindicated\n* Diagnosed with diabetes or gestational diabetes in the past\n* Currently using a CGM\n* Pregnant\n* Occupation that requires substantial use of personal device for media-related activities (e.g., social media)\n* Drug abuse\n* Serious psychological disorder\n* Not willing to use Fitbit or smart plugs for calculation of sedentary screen time for functionality of StandUPTV app","ALL","23 Years","64 Years",{"count":87,"type":88},48,"ESTIMATED","INTERVENTIONAL",[91],"NA","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.",[94,95,96,97,98,99],"Sedentary Behaviors","Screen Time","Physical Activity","Glucose Metabolism","Sleep Quality","HbA1c Level",[101,102,103,104],"sedentary behavior","action planning","evening sedentary screen time","mHealth","2026-01-08",{"date":107,"type":108},"2026-01-12","ACTUAL",{"date":110,"type":108},"2025-07-01",{"date":112,"type":88},"2026-12-15",{"name":5,"class":6},2]