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Published on: January 24, 2020
Correlation between functional mobility and cognitive performance in older adults with cognitive impairment
Sheila de Melo Borges1,2, Márcia Radanovic1, Orestes Vicente Forlenza1
1a Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry, Faculty of Medicine , University of São Paulo , São Paulo , Brazil.
Cognitive impairment in mild cognitive impairment (MCI) and Alzheimer's disease (AD) affects gait, increasing fall risk. Dual-task walking challenges reveal significant links between cognitive decline and mobility issues in these conditions.
Area of Science:
- Neurology
- Gerontology
- Biomedical Engineering
Background:
- Cognitive impairment, particularly in mild cognitive impairment (MCI) and Alzheimer's disease (AD), is associated with gait disturbances.
- These gait issues are more pronounced under divided attention conditions, elevating the risk of falls.
Purpose of the Study:
- To investigate the relationship between cognitive function and gait performance in individuals with MCI and mild AD.
- To assess how cognitive and manual dual-tasking affects gait in these populations.
Main Methods:
- The study included 36 controls, 42 MCI patients, and 26 mild AD patients.
- Gait was evaluated using the Timed Up-and-Go (TUG) test under four conditions: single-task (TUG1), cognitive dual-task (TUG2), manual dual-task (TUG3), and cognitive-manual dual-task (TUG4).
- Cognitive function was assessed using the MMSE, SKT, Exit25, and TMT (A and B).
Main Results:
- Significant correlations were found between cognitive scores and dual-task TUG (TUG2 and TUG4) in the AD group.
- All TUG modalities correlated with the SKT cognitive test in both MCI and AD groups.
- Functional mobility impairments during cognitive dual tasks were linked to cognitive decline in AD and attention/memory deficits in MCI.
Conclusions:
- Gait performance, especially under dual-task conditions, is significantly associated with cognitive status in MCI and mild AD.
- Assessing gait during dual tasks may help identify cognitive decline and predict fall risk in older adults with cognitive impairment.
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