Personalized Exercise Program Using AI and Mobile Health for Older Adults to Improve Physical Activity and Well-being A Feasibility Study

What This Trial Is About

Researchers are investigating how feasible, acceptable, appropriate, and effective a wearable and artificial intelligence-driven mobile app exercise program is for older adults. This study focuses on adults aged 65 and older and uses self-determination theory along with behavioral change techniques like goal setting and self-monitoring. It aims to understand how well this personalized program can support physical activity, mental health, and quality of life over an 8-week period. Participants will use the sFitRx fitness application along with a Fitbit Flex 2 tracker. The app provides daily and weekly exercise prescriptions tailored to each persons step goals, previous weeks physical activity recorded by the Fitbit, and current physical condition and well-being. The program includes video demonstrations of warm-up, aerobic, resistance, balance, and flexibility exercises, adjusted progressively based on the participants performance and engagement. During the study, participants will be monitored for recruitment, enrollment, dropout, retention, and adherence over 10 weeks. Assessments include daily step counts, physical activity levels, mental health measures for depression and anxiety, and quality of life surveys. The research team will evaluate the feasibility, acceptability, and appropriateness of the intervention at the end of the study period, helping to understand its potential impact on older adults health and activity behaviors.

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