Evaluating Health Outcomes of AI-Based Fitness Wearables & App Programs in Elderly With Cognitive Decline
Part of paid clinical trials in Knoxville, Tennessee.
- Sponsor
- The University of Tennessee, Knoxville
- Study ID
- NCT07207993
- Status
- Not Yet Recruiting
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Conditions
- AI-Based Fitness
- Cognitive Decline
- Older Adults
- Older Adults With Cognitive Decline
- Physical Activity
- Physical Inactivity
- Wearables
Eligibility Criteria
- Sex
- ALL
- Age
- 65 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Fitness app for self-efficacy — OTHERAI-driven personalized exercise prescription via a fitness app. This targets self-efficacy.
- Social network via app for social support — OTHERParticipants will be provided access to a social network via app. This targets social support.
- Health education app targeting outcome expectations — OTHERParticipants are provided with an app-based health education. This targets outcome expectations.
Study Details
The overarching goal of our research is to develop personalized and accessible healthy aging lifestyle interventions aimed at promoting physical activity (PA) and improving health among community-dwelling older adults living alone with cognitive decline (LACD). To achieve this goal, the purpose of this project is to determine whether wearable and app-based mHealth intervention component(s) will contribute to increased PA and improved health outcomes in older adults LACD. Our specific aims are to: identify and evaluate mHealth intervention components that practically and significantly contribute to enhanced mechanistic outcomes (e.g., self-efficacy, outcome expectations) and increased PA (primary outcome) in older adults LACD over a 6-month period; determine the optimal combinations of intervention components for future efficacy testing; elucidate the mechanism of behavioral change (MoBC) and potential outcomes of these intervention components, namely, the mediating effects of MoBC variables (e.g., self-efficacy, outcome expectations) on the relationship between intervention components and change in PA. The first two aims are primary and fully-powered. The third aim is exploratory. The aims will support a refined, data-driven intervention design for a subsequent larger trial.
Key Dates
- Start date
- Apr 1, 2026
- Status verified
- Feb 2026
- Primary completion
- Apr 1, 2028
- Completion
- Apr 1, 2028
Study Design
- Enrollment
- 64 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- FACTORIAL
- Primary purpose
- PREVENTION
Arms
- Experimental: Access to all applicationsCondition 1: Participant are provided with the prescription application (application1), social application (application 2), and health tips application (application 3).
- Experimental: Access to application 1 & 2Condition 2: Participant are provided with the prescription application, social application, but they aren't provided with the health tips application.
- Experimental: Access to application 1 & 3Condition 3: Participant are provided with the prescription application, and they aren't provided with the social application, but they are provided with the health tips application.
- Experimental: Access to application 1 onlyCondition 4: Participant are provided with the prescription application, but aren't provided with the social application, and the health tips application.
- Experimental: Access to application 2 & 3Condition 5: Participant are not provided with the prescription application, but they are provided with the social application, and the health tips application.
- Experimental: Access to application 2 onlyCondition 6: Participant are not provided with the prescription application, but they are provided with the social application, and they aren't provided with the health tips application.
- Experimental: Access to application 3 onlyCondition 7: Participant are not provided with the prescription application, or the social application, but they are provided with the health tips application.
- No Intervention: No access to any applicationCondition 8: Participant are not provided with the prescription application, or the social application, or with the health tips application.
Primary Outcome Measure
Fitbit MVPA [ Time Frame: Baseline (i.e., pre-intervention), 3 months (mid-point), and 6 months (end-point). ]
Central Contacts
- Zan Gao, PhD865-974-7971
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| University of Tennessee | Knoxville | Tennessee | 37920 | Zan Gao, PhD (PRINCIPAL_INVESTIGATOR) Danielle Ostendorf, PhD (SUB_INVESTIGATOR) Xiaopeng Zhao, PhD (SUB_INVESTIGATOR) Jeffrey Labban, PhD (SUB_INVESTIGATOR) |
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