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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Tai Chi Group | Experimental | Participants will perform Tai Chi exercises guided by an AI-based mobile application over a 12-week period. |
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| Baduanjin Group | Experimental | Participants will perform Baduanjin exercises guided by an AI-based mobile application over a 12-week period. |
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| Control Group | No Intervention | Participants will receive usual care and general physical activity advice without a structured exercise intervention. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Tai Chi Exercise Program | Behavioral | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Technology Acceptance | User acceptance of the AI-based intervention will be evaluated using a structured questionnaire. | Week 12 |
| Participant Experience (Qualitative Feedback) | Assessed using open-ended questions to explore participant experiences with the intervention. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Mohamed Fakhry Ahmed Salem, PhD | Contact | +201286038014 | Mohamed.Fakhry@alexu.edu.eg |
| Name | Affiliation | Role |
|---|---|---|
| Mohamed Fakhry Ahmed Salem, PhD in Medical-Surgical Nursin | Alexandria University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Faculty of Nursing, Alexandria University | Alexandria | 21511 | Egypt |
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| ID | Term |
|---|---|
| D002908 | Chronic Disease |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Participants will be randomly assigned to one of three parallel groups: Tai Chi, Baduanjin, or control.
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Outcome assessors will be blinded to group allocation to reduce assessment bias.
| Baduanjin Exercise Program | Behavioral | 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. |
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| Post-intervention after 12 weeks |