Author:
Du Shan,Ma Xiaojuan,Wang Jiachen,Mi Yan,Zhang Jie,Du Chengxue,Li Xiaobo,Tan Huihui,Liang Chen,Yang Tian,Shi Wenzhen,Zhang Gejuan,Tian Ye
Abstract
Abstract
Backgrounds
Gait disorder is associated with cognitive functional impairment, and this disturbance is more pronouncedly when performing additional cognitive tasks. Our study aimed to characterize gait disorders in mild cognitive impairment (MCI) under three dual tasks and determine the association between gait performance and cognitive function.
Methods
A total of 260 participants were enrolled in this cross-sectional study and divided into MCI and cognitively normal control. Spatiotemporal and kinematic gait parameters (31 items) in single task and three dual tasks (serial 100-7, naming animals and words recall) were measured using a wearable sensor. Baseline characteristics of the two groups were balanced using propensity score matching. Important gait features were filtered using random forest method and LASSO regression and further described using logistic analysis.
Results
After matching, 106 participants with MCI and 106 normal controls were recruited. Top 5 gait features in random forest and 4 ~ 6 important features in LASSO regression were selected. Robust variables associating with cognitive function were temporal gait parameters. Participants with MCI exhibited decreased swing time and terminal swing, increased mid stance and variability of stride length compared with normal control. Subjects walked slower when performing an extra dual cognitive task. In the three dual tasks, words recall test exhibited more pronounced impact on gait regularity, velocity, and dual task cost than the other two cognitive tests.
Conclusion
Gait assessment under dual task conditions, particularly in words recall test, using portable sensors could be useful as a complementary strategy for early detection of MCI.
Funder
Natural Science Foundation of China
Key Research and Development Program of Shaanxi
Xi’an Science and Technology Planning Project
Publisher
Springer Science and Business Media LLC
Subject
Geriatrics and Gerontology
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