Gait performance in older adults across the cognitive spectrum: Results from the GAIT cohort

Author:

Ali Pauline123ORCID,Renaud Pauline3,Montero‐Odasso Manuel456ORCID,Gautier Jennifer78,Dinomais Mickaël23,Annweiler Cédric178

Affiliation:

1. Robarts Research Institute, Department of Medical Biophysics, Schulich School of Medicine and Dentistry Western University London Ontario Canada

2. Laboratoire Angevin de Recherche en Ingénierie des Systèmes, EA7315 University of Angers Angers France

3. Department of Physical and Rehabilitation Medicine Angers University Hospital, University of Angers Angers France

4. Gait and Brain Lab, St. Joseph's Health Care, Parkwood Institute, Lawson Health Research Institute University of Western Ontario London Ontario Canada

5. Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine and Dentistry Western University London Ontario Canada

6. Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry Western University London Ontario Canada

7. UNIV ANGERS, UPRES EA 4638, University of Angers Angers France

8. Department of Geriatric Medicine and Rehabilitation, Research Center on Autonomy and Longevity University Hospital Angers France

Abstract

AbstractBackgroundGait performance can provide valuable insights into cognitive functioning in older adult and may be used to screen for cognitive impairment. However, the optimal test condition and spatiotemporal parameter for accuracy have not yet been determined. This study aims to determine the gait measure with the highest accuracy identifying cognitive decline.MethodsA total of 711 participants were recruited, including 332 cognitively healthy individuals, 264 with mild cognitive impairment (MCI), and 115 with dementia, with a mean age of 72 years (interquartile range 69–76), and 43% (n = 307) of women. The participants underwent gait assessment in three different conditions, including a single task and dual tasks of counting backward by ones and naming animals.ResultsGait performance was deteriorated as cognitive impairment progressed. The gait test performed during naming animals condition was the most accurate in differentiating between cognitive groups. Specifically, the naming animals gait speed was more accurate in discriminating control participants from those with cognitive impairment (area under the curve [AUC] = 76.9% for MCI and 99.7% for people with dementia with control group as reference). The coefficient of stride length variability while naming animals was the most effective parameter in discriminating between MCI and dementia groups (AUC = 96.7%).ConclusionsThe naming animals dual‐task gait test can be a valuable assessment for screening cognitive impairment in older adults, regardless of their cognitive abilities. The test is useful in clinical settings for subjects with a range of cognitive profiles.

Funder

Société Française de Medecine physique et de Réadaptation

Publisher

Wiley

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