AI Article Synopsis
- Older adults often experience both motor and cognitive impairments, increasing their risk of dementia, falls, and fractures; gait performance serves as a key indicator of their overall health.
- A consensus protocol was developed by the Canadian Consortium on Neurodegeneration in Aging (CCNA) for assessing gait in older adults, focusing on motor-cognitive interactions.
- The CCNA gait assessment includes various speed tests and dual-task walking exercises, allowing for easy implementation in clinical settings to detect potential declines in mobility and cognition.
Article Abstract
Background: Motor and cognitive impairments are common among older adults and often co-exist, increasing their risk of dementia, falls, and fractures. Gait performance is an accepted indicator of global health and it has been proposed as a valid motor marker to detect older adults at risk of developing mobility and cognitive declines including future falls and incident dementia. Our goal was to provide a gait assessment protocol to be used for clinical and research purposes.
Methods: Based on a consensus that identified common evaluations to assess motor-cognitive interactions in community-dwelling older individuals, a protocol on how to evaluate gait in older adults for the Canadian Consortium on Neurodegeneration in Aging (CCNA) was developed.
Results: The CCNA gait assessment includes preferred and fast pace gait, and dual-task gait that comprises walking while performing three cognitively demanding tasks: counting backwards by ones, counting backwards by sevens, and naming animals. This gait protocol can be implemented using an electronic-walkway, as well as by using a regular stopwatch. The latter approach provides a simple manner to evaluate quantitative gait performance in clinics.
Conclusions: Establishing a standardized gait assessment protocol will help to assess motor-cognitive interactions in aging and neurodegeneration, to compare results across studies, and to feasibly implement and translate gait testing in clinics for detecting impending cognitive and mobility decline.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028168 | PMC |
| http://dx.doi.org/10.5770/cgj.21.298 | DOI Listing |
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