AI-Based Tai Chi and Baduanjin for Improving Balance and Reducing Fall Risk in Adults With Chronic Diseases

N/ANot Yet RecruitingNCT07672704

Alexandria University120 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

SINGLE

Enrollment

120

Conditions

Chronic Diseases Balance Disorders

Interventions

Baduanjin Exercise ProgramBEHAVIORAL

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

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * 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 Exclusion Criteria: * \- 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

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.

Time frame: 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.

Time frame: Baseline and Week 12

Secondary Outcomes

Technology Acceptance

User acceptance of the AI-based intervention will be evaluated using a structured questionnaire.

Time frame: Week 12

Participant Experience (Qualitative Feedback)

Assessed using open-ended questions to explore participant experiences with the intervention.

Time frame: Post-intervention after 12 weeks