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Fitness app powered by AI and wearable device / Physical Activity / Mental Health (depression) · Interventional Study
ClinicalTrials.gov · August 20, 2026
Early or partial results. Treat as a signal, not a conclusion.
This is a registered, actively recruiting feasibility study designed to evaluate the protocol, acceptability, and preliminary efficacy of an AI-driven, wearable-integrated exercise prescription app grounded in self-determination theory and behavioral change techniques for older adults over 8 weeks. No results have yet been reported in this registry record. The study will generate early evidence on recruitment, retention, adherence, and preliminary outcomes in physical activity, mental health, and quality of life before advancing to a larger trial.
Interventional, Single Group, Open label, Prevention purpose. Feasibility Studies, Physical Activity, Mental Health (Depression), Anxiety, Quality of Life; age from 65 Years; accepts healthy volunteers. Intervention: Single-arm. n = 20. 1 site: United States.
This is a registered, actively recruiting feasibility study designed to evaluate the protocol, acceptability, and preliminary efficacy of an AI-driven, wearable-integrated exercise prescription app grounded in self-determination theory and behavioral change techniques for older adults over 8 weeks. No results have yet been reported in this registry record. The study will generate early evidence on recruitment, retention, adherence, and preliminary outcomes in physical activity, mental health, and quality of life before advancing to a larger trial.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
This study is not yet able to inform clinical practice because no results are reported. Once completed, findings on feasibility and preliminary efficacy may guide development of a larger-scale trial but are unlikely to change clinical practice directly given the single-arm design and small sample.
This is a stage 1b feasibility study with no results yet reported; it is designed to evaluate protocol feasibility, acceptability, and preliminary efficacy of an AI-driven exercise intervention in older adults before a larger trial.
As stated by the source record.
Quoted from the source exactly as published.
This study is not yet able to inform clinical practice because no results are reported. Once completed, findings on feasibility and preliminary efficacy may guide development of a larger-scale trial but are unlikely to change clinical practice directly given the single-arm design and small sample.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
What is missing. This record has no key findings. That is a gap in the analysis, not a judgement about the study.
Registry record from ClinicalTrials.gov (NCT07768670). This is a study registration, not published results. Lead sponsor: The University of Tennessee, Knoxville. Recruitment status: RECRUITING. Phase: NA. Study type: INTERVENTIONAL. Enrollment: 20 participants (ESTIMATED). Conditions: Feasibility Studies, Physical Activity, Mental Health (Depression), Anxiety, Quality of Life. Interventions: OTHER: Fitness app powered by AI and wearable device. Primary outcome measures: Recruitment , Pre-intervention; Enrollment , Pre-intervention; Participant Dropout Rate , Baseline (week 1) - Follow up (Week 10); Retention , Baseline (week 1) - Follow up (Week 10); Adherence , Baseline (week 1) - Follow up (Week 10); Intervention Feasibility, Acceptability, and Appropriateness , At follow up (week 10). Brief summary: 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.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.