Cross-sectional study identifies key motor and cognitive dual tasks for older adults, suggesting improved diagnostic capabilities for dementia-related conditions.
Key Points
HTTP task achieved the highest accuracy of 93% in distinguishing individuals with MCI from cognitively healthy older adults.
Logistic regression models effectively classified participants, with TTHP and THFF showing 89% accuracy, and GAIT achieving 85% accuracy.
Using a wearable inertial system, the study evaluated the upper and lower limb motor performances of 44 older adults during five motor cognitive dual tasks.
The findings suggest that integrating motor and cognitive tasks can enhance dementia diagnosis, highlighting the need for future clinical validation.