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.

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.

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

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.

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.

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.

Outcomes assessor will not have access to study arm assignment and participants will be encouraged not to divulge their study arm assignment during assessments.