About this trial
This study aims to examine the effects of an AI-based mobile application delivering Tai Chi and Baduanjin exercises on balance and fall risk in adults with chronic diseases.
Participants will be randomly assigned to Tai Chi, Baduanjin, or a control group over a 12-week period. The AI application will provide exercise guidance and basic feedback.
Outcomes will focus on balance and, fall risk, along with user interaction with the technology.
The results are expected to support the use of AI-assisted exercise programs in improving balance and reducing fall risk in individuals with chronic conditions.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Adults
Individuals with one or more health conditions relevant to the study
Able to participate in physical activity
Able to understand study instructions
Disqualifiers
- Any condition that may limit safe participation in the study
Any medical or other issue that may interfere with study procedures, as determined by the research team
Trial design
Parallel
Treatments tested in this trial
Tai Chi Exercise Program
BehavioralParticipants will perform Tai Chi exercises guided by an AI-based mobile application. The program includes structured exercise sessions aimed at improving balance and mobility, with basic feedback provided by the application.
Baduanjin Exercise Program
BehavioralParticipants will perform Baduanjin exercises guided by an AI-based mobile application. The program consists of structured movements designed to support balance and physical function, with feedback delivered through the application.
Treatment groups
Trial outcomes
Primary outcomes
Balance Performance (Mini-BESTest Score)
Balance will be assessed using the Mini-Balance Evaluation Systems Test (Mini-BESTest), a performance-based clinical scale measuring dynamic balance and postural control. Scores range from 0 to 28, with higher scores indicating better balance.
Fall Risk (Timed Up and Go Test Time)
Fall risk will be assessed using the Timed Up and Go (TUG) test, measured in seconds. Lower time indicates better functional mobility and lower risk of falls.
Secondary outcomes
Technology Acceptance
User acceptance of the AI-based intervention will be evaluated using a structured questionnaire.
Participant Experience (Qualitative Feedback)
Assessed using open-ended questions to explore participant experiences with the intervention.
Sponsors and contacts
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