Multidirectional Overground Robotic Training Leads to Improvements in Balance in Older Adults

Area of Science:

• Gerontology
• Robotics
• Biomechanics

Background:

• Aging population globally necessitates effective balance improvement strategies.
• Balance is crucial for maintaining independence and preventing falls in older adults.
• Robotic training offers a novel approach to enhance balance in aging individuals.

Purpose of the Study:

• To investigate the effectiveness of non-bodyweight supportive (nBWS) overground robotic balance training.
• To assess improvements in balance performance and confidence in healthy older adults.
• To compare robotic-assisted training with conventional training methods.

Main Methods:

• Sixteen healthy older adults participated in nBWS robotic training using the NaviGAITor system.
• A control group of 11 healthy older adults underwent similar training without robotic assistance.
• Training involved 6 weeks of balance exercises modifying sensory input and base-of-support.

Main Results:

• Balance ability significantly improved, indicated by a decrease in Balance Error Scoring System (BESS) errors.
• Improvements were particularly notable in the non-bodyweight supportive (nBWS) robotic training group.
• Balance confidence, measured by the Activities specific Balance Confidence (ABC) scale, also showed positive trends.

Conclusions:

• Non-bodyweight supportive (nBWS) overground robotic training is effective in enhancing balance in healthy older adults.
• Robotic-assisted balance training can lead to significant improvements in both objective balance measures and subjective confidence.
• This approach holds promise for fall prevention and maintaining functional independence in the aging population.