AI-Based Tai Chi and Baduanjin for Improving Balance and Reducing Fall Risk in Adults With Chronic Diseases
Comparative Effects of an AI-Based Mobile Application Delivering Tai Chi and Baduanjin on Balance and Fall Risk in Adults With Chronic Diseases: A Randomized Controlled Trial
1 other identifier
interventional
120
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jun 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 13, 2026
CompletedStudy Start
First participant enrolled
June 16, 2026
CompletedFirst Posted
Study publicly available on registry
June 29, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 20, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
July 30, 2026
CompletedJune 29, 2026
June 1, 2026
1 month
June 13, 2026
June 22, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
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.
Baseline and Week 12
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.
Baseline and Week 12
Secondary Outcomes (2)
Technology Acceptance
Week 12
Participant Experience (Qualitative Feedback)
Post-intervention after 12 weeks
Study Arms (3)
Tai Chi Group
EXPERIMENTALParticipants will perform Tai Chi exercises guided by an AI-based mobile application over a 12-week period.
Baduanjin Group
EXPERIMENTALParticipants will perform Baduanjin exercises guided by an AI-based mobile application over a 12-week period.
Control Group
NO INTERVENTIONParticipants will receive usual care and general physical activity advice without a structured exercise intervention.
Interventions
Participants 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.
Participants 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.
Eligibility Criteria
You may qualify if:
- Adults
- Individuals with one or more health conditions relevant to the study
- Able to participate in physical activity
- Able to understand study instructions
- Willing to provide informed consent
You may not qualify if:
- \- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Faculty of Nursing, Alexandria University
Alexandria, 21511, Egypt
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Mohamed Fakhry Ahmed Salem, PhD in Medical-Surgical Nursin
Alexandria University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Outcome assessors will be blinded to group allocation to reduce assessment bias.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Lecturer of Medical-Surgical Nursing
Study Record Dates
First Submitted
June 13, 2026
First Posted
June 29, 2026
Study Start
June 16, 2026
Primary Completion
July 20, 2026
Study Completion
July 30, 2026
Last Updated
June 29, 2026
Record last verified: 2026-06