AI-powered fitness wearables and apps to boost activity in older adults living alone with cognitive decline
Official title: Evaluating Health Outcomes of AI-Based Fitness Wearables and App Programs in Older Adults Living Alone With Cognitive Decline
Run by The University of Tennessee, Knoxville · NCT07207993 · Data updated 2026-11-12
This study tests whether an AI-driven fitness app and wearable program can help older adults living alone with cognitive decline be more physically active.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 65 Years and up |
| Sex | All |
| Enrollment | 64 (estimated) |
| Sponsor | The University of Tennessee, Knoxville Academic / other |
| Locations | 2 sites (Knoxville, Tennessee and 1 other locations) |
| Status | Recruiting |
| Started | June 8, 2026 |
| Main results expected | June 8, 2028 |
| Study ends | June 8, 2028 |
| Registry record updated | June 15, 2026 |
| Trial ID | NCT07207993 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 65 or older living alone in the United States who have mild cognitive decline and own a smartphone with internet access, and who currently participate in or are able to engage in some physical activity.
✕Probably not a fit
Individuals without smartphone access, with more advanced cognitive impairment, or unable to engage in physical activity may not benefit from these interventions.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This interventional study will evaluate an AI-driven fitness app, a social support feature within the app, and a health education component to see if they can increase physical activity and improve health outcomes in community-dwelling older adults aged 65 and older who live alone and have mild cognitive decline. Over six months, participants will use wearable devices and mobile apps that provide real-time feedback, goal setting, and social connectivity to promote activity and reduce sedentary behavior. The study will explore which components most effectively influence behavioral mechanisms such as self-efficacy and outcome expectations, and how these mediate changes in activity levels. The trial aims to identify optimal component combinations for future efficacy testing and to illuminate the mechanisms of behavioral change driven by mHealth interventions in this population.
Why it matters
Potential benefit: If successful, participants may experience increased physical activity, better health outcomes, and improved mood and independence.
How similar studies have gone: Previous trials using wearables and apps have shown improvements in activity and well-being in older adults, supporting the potential of this approach, though application to those living alone with cognitive decline is less established.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Participant must be at least 65 years of age older * Participant must be living alone in the U.S. for the next 6 months * Participant must have report mild cognitive decline \[We will use a short self-report AD8 measure of cognitive concerns. Those scoring positive on the AD8 (≥2) will qualify as mild cognitive decline\]; * Participant must own an Android/Apple smartphone * Participant must have access to internet or Wi-Fi access * Participant must be capable of engaging in some PA as determined by the PA Readiness Questionnaire or physician approval * Participant must currently participate in weekly moderate-to-vigorous PA (MVPA) or less than 150 minutes * Participant must have basic English communication skills. Exclusion Criteria: * Foreign residents or visitors
Where it's running
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The University of Tennessee, Knoxville. Health, Recreation, and Physical Education Building
Knoxville, Tennessee, United States Recruiting -
University of Tennessee
Knoxville, Tennessee, United States Not yet recruiting
Study contacts
- Study coordinator: Zan Gao, PhD
- Email: zan@utk.edu
- Phone: 865-974-7971
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.