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Whole-Day Gait Monitoring in Patients with Alzheimer’s Disease: A Relationship between Attention and Gait Cycle

Authors :
Maya Higuma
Takanori Yokota
Nobuo Sanjo
Hiroshi Mitoma
Mitsuru Yoneyama
Source :
Journal of Alzheimer's Disease Reports
Publication Year :
2017
Publisher :
IOS Press, 2017.

Abstract

Background: Gait impairment in patients with Alzheimer’s disease (AD) and its relationship with cognitive function has been described, but reports of gait analysis in AD in daily living are limited. Objective: To investigate whether gait pattern of patients with AD in daily living is associated with cognitive function. Methods: Gait was recorded in 24 patients with AD and 9 healthy controls (HC) for 24 hours by using a portable gait rhythmogram. Mean gait cycle and gait acceleration were compared between the AD and HC groups. For the AD group, these gait metrics were assessed for correlations with cognitive function, as determined by the Mini Mental State Examination and Wechsler Memory Scale-Revised (WMS-R). Results: Although both gait parameters were not different between the patients with AD and HC, gait cycle in patients with AD was positively correlated with attention/concentration scores on the WMS-R (r = 0.578), and not with memory function. Patients with AD with attention scores as high as HC displayed a longer gait cycle than both HC (p = 0.048) and patients with AD with lower attention scores (p = 0.011). The patients with AD with lower attention scores showed a similar gait cycle with HC (p = 0.994). Conclusion: Patients with AD with impaired attentional function walk with faster gait cycle comparable to HC in daily living walking, which was unexpected based on previous gait analysis in clinical settings. This result probably reflects diminished consciousness to either the environment or instability of gait in the patients with AD with impaired attention.

Details

ISSN :
25424823
Volume :
1
Database :
OpenAIRE
Journal :
Journal of Alzheimer's Disease Reports
Accession number :
edsair.doi.dedup.....bfe0d137725c0b40ce3e067f33b43cbf