Supervised and self-directed technology-based dual-task exercise training programme for older adults at risk of...

Area of Science:

• Gerontology
• Rehabilitation Science
• Digital Health

Background:

• Falls in older adults are a major public health concern, leading to fractures and loss of independence.
• Dual-Task (DT) training, combining cognitive and balance exercises, is recognized for improving mobility and reducing fall risks.
• Technology-based interventions offer scalable solutions for health promotion in aging populations.

Purpose of the Study:

• To evaluate the feasibility and acceptability of a blended, technology-based Dual-Task (DT) training program for older adults at high risk of falling.
• To assess recruitment, adherence, app usage, and attrition rates of the DT training program.
• To gather preliminary outcome data on mobility, cognition, fear of falling, and quality of life.

Main Methods:

• A single-arm, non-randomised feasibility study involving 50 healthy adults aged 65+.
• Participants completed 12 weeks of supervised DT training followed by 12 weeks of self-directed training using a mobile app and physical exercises.
• Quantitative data (Timed-Up and Go test, questionnaires) and qualitative data (focus groups) were collected.

Main Results:

• Feasibility outcomes such as recruitment, adherence, and app usage will be analyzed.
• Changes in the Timed-Up and Go test, cognitive function, fear of falling, and quality of life will be assessed.
• Qualitative feedback from participants and healthcare professionals will provide insights into acceptability.

Conclusions:

• The blended technology-based DT training program appears feasible and acceptable for older adults at high risk of falls.
• This approach has the potential to improve mobility and reduce fall risks in this population.
• Further research with larger, randomized controlled trials is warranted to confirm efficacy.