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

Artificial Intelligence-based Personalized Exercise Prescription Through Mobile Health on Physical Activity and Health Outcomes in Older Adults: A Feasibility Study

Who can join

As published by the study on ClinicalTrials.gov. "Not stated" means the study hasn't said — ask the study team.

Age
65 Years and older
Sex
All sexes
Healthy volunteers
Accepted
Compensation
Not stated

Other requirements are listed under Eligibility below. Only the study team can confirm whether you can join.

What to expect

No one can promise a trial will help you personally — that is what the research is trying to find out.

What participation involves

  • Procedures mentioned: Wearing a device

Only what the study's summary and detailed description on ClinicalTrials.gov say. Time periods may describe the whole study or a part of it — ask the study team what applies to you.

Show the study's own words
  • "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."
Compensation
Not stated
  • Study-related exams and procedures are typically provided at no cost. This is how many trials work in general — confirm the details for this study with the study team.
  • Participants are monitored closely by the research team throughout the study.
  • Some participants may receive access to an investigational treatment, which is still being studied.
  • Your participation helps researchers learn whether this approach could help future patients.

About this study

In plain language

This 8-week study tests a personal exercise plan using a wearable device and a phone app powered by artificial intelligence (AI). It is for adults age 65 or older who get less than 150 minutes of moderate or hard exercise each week. Researchers will see if the program is practical and well liked, and look at early effects on activity, sitting time, sleep, mental health, and quality of life.

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.

Compensation is read from the study's own description and may be missing — always confirm with the study team.

Eligibility

Who can join

  • Be age 65 or older.
  • Own an Android phone or iPhone that works with the study apps.
  • Have reliable internet or Wi-Fi access.
  • Be able to use basic phone features, such as opening apps and following screen instructions, with help getting started if needed.
  • Be able to exercise safely, based on a readiness questionnaire or a doctor's approval if needed.
  • Get less than 150 minutes of moderate or hard physical activity each week.
  • Be able to communicate in English well enough to complete study tasks and checkups.

Who can't join

  • Be younger than 65.
  • Not own a phone that works with the study apps, or lack reliable internet or Wi-Fi.
  • Be unable to exercise safely based on study screening, or not get a doctor's approval when required.
  • Get 150 minutes or more of moderate or hard physical activity each week.
  • Be unable to communicate in English well enough to understand the study, agree to join, or complete study tasks.
  • Have a health, physical, memory, or thinking problem that the study team believes would make joining unsafe or prevent completion of study tasks.

Simplified for readability. The official criteria below are what the study team uses.

Official eligibility criteria

Inclusion Criteria: * Be aged 65 years or older. * Own a smartphone (Android or iOS) compatible with study applications. * Have reliable access to the internet or Wi-Fi. * Demonstrate basic digital literacy sufficient to operate a smartphone (e.g., ability to open applications, navigate simple interfaces, and follow on-screen instructions), with or without initial guidance from the research staff. * Be able to safely engage in physical activity, as determined by the Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) or physician approval if indicated. * Report engaging in less than 150 minutes of moderate-to-vigorous physical activity (MVPA) per week. * Be able to communicate in English sufficiently to complete study procedures and assessments. Exclusion Criteria: * Are younger than 65 years of age. * Do not own a compatible smartphone (Android or iOS) or do not have reliable internet/Wi-Fi access. * Are deemed unable to safely participate in physical activity based on the screening process (including PAR-Q+, STEADI, and research staff assessment), or do not obtain required physician clearance when indicated. * Currently meet or exceed 150 minutes of moderate-to-vigorous physical activity (MVPA) per week. * Are unable to communicate in English sufficiently to understand study procedures, provide informed consent, or complete study-related assessments. * Have any medical, physical, or cognitive condition that, in the judgment of the research team, would make participation unsafe or prevent completion of study procedures.

Study sites (1)

TN