AI-Based Personalized Exercise Prescription Through Mobile Health on Physical Activity and Health Outcomes in Older Adults: A Feasibility Study

Part of paid clinical trials in Knoxville, Tennessee.

Sponsor
The University of Tennessee, Knoxville
Study ID
NCT07768670
Status
Recruiting
Apply to this trial

Conditions

  • Anxiety
  • Feasibility Studies
  • Mental Health (Depression)
  • Physical Activity
  • Quality of Life

Eligibility Criteria

Sex
ALL
Age
65 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • Fitness app powered by AI and wearable device — OTHER
    All participants will be provided the researcher-developed sFitRx mHealth application. sFitRx will provide participants with an established daily and weekly exercise prescription program based on each participant's: (1) daily step goals, (2) previous week's PA, as collected by the Fitbit Flex 2; and (3) current physical conditioning and well-being, as collected by sFitRx. The sFitRx will provide participants with a video demonstration of warm up exercise and all prescribed exercise types, including aerobics, resistance, balance, and flexibility exercises. These exercises follow a graded task BCT. The exercise program delivered by the sFitRx app is grounded in self-determination theory, most especially in satisfying the basic psychological needs that drive intrinsic motivation.

Study Details

The purpose of this research is to investigate the feasibility, acceptability, appropriateness, and preliminary efficacy of a wearable and artificial intelligence-driven mobile application-based exercise prescription grounded in self-determination theory (SDT) and behavioral change techniques (BCTs) among older adults. As no data exists on the feasibility of AI-driven exercise programs grounded in SDT and multiple BCTs specifically for older adults, this will be a pioneering study to explore the feasibility of wearable and AI-driven exercise program protocols and the rates of acceptance and appropriateness of the exercise prescription intervention among older adults. In addition, this study will test the preliminary efficacy of the intervention on physical activity (PA), mental health, and quality of life. This study follows the National Institute of Health (NIH) stage model, and it represents stage 1b of the NIH stage model, which emphasizes the feasibility and actionable processes for delivering a new health intervention. Specifically, this study will: 1.Evaluate the research protocol feasibility of a wearable and AI-driven mobile application-based exercise prescription grounded in SDT and BCTs (of goal setting, self-monitoring, graded task, and demonstration) on older adults over 8 weeks 2. Evaluate the acceptability and appropriateness of a wearable, AI-driven, mobile application-based exercise prescription grounded in SDT and BCTs among older adults over 8 weeks. 3. Evaluate the preliminary impact of a wearable and AI-driven mobile application-based exercise prescription grounded in SDT and BCTs on older adult PA (steps per day and daily duration of light PA and Moderate-vigorous PA), sedentary time, sleep, mental health (depression and anxiety), and quality of life.

Key Dates

First listed
Aug 17, 2026
Start date
Oct 1, 2026
Status verified
Aug 2026
Primary completion
Dec 20, 2026
Completion
Dec 31, 2026

Study Design

Enrollment
20 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION

Arms

  • Experimental: Single-arm
    All participants will be provided the researcher-developed sFitRx fitness application and a Fitbit Flex 2 tracker. sFitRx will provide participants with an established daily and weekly exercise prescription program based on each participant's: (1) daily step goals, (2) previous week's PA, as collected by the Fitbit Flex 2; and (3) current physical conditioning and well-being, as collected by sFitRx. The sFitRx will provide participants with a video demonstration of warm up exercise and all prescribed exercise types, including aerobics, resistance, balance, and flexibility exercises. These exercises follow a graded task BCT. For instance, a participant with a low baseline PA might be prescribed a beginner programs with a base (entry) level of 1.1. However, the sFitRx will progressively modify the individual exercise program based on the % of exercise completed, daily goal and other metrics.

Primary Outcome Measure

Recruitment [ Time Frame: Pre-intervention ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Kinesiology, Recreation, and Sport Studies (865) 974-3340 [email protected]KnoxvilleTennessee37996-2700
John Oginni
[email protected]
(865) 974-3340

Find similar trials in Knoxville, TN

By research site
Kinesiology, Recreation, and Sport Studies (865) 974-3340 [email protected]· Knoxville, TN

Related Studies