How should long-term free-living physical activity be targeted after stroke? A systematic review and narrative synthesis

Moore, Sarah, Hrisos, Nina, Flynn, Darren, Errington, Linda, Price, Christopher and Avery, Leah (2018) How should long-term free-living physical activity be targeted after stroke? A systematic review and narrative synthesis. International Journal of Behavioral Nutrition and Physical Activity, 15 (1). p. 100. ISSN 1479-5868

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Application of objective measurement of stroke gait with accelerometer-based wearable technology and associated algorithms is increasing, despite reports questioning the accuracy of this technique in quantifying specific stroke-related gait impairments. The aim of this study is to determine the feasibility, validity and reliability of a low-cost open-source system incorporating algorithms and a single tri-axial accelerometer-based wearable to quantify gait characteristics in the laboratory and community post-stroke.

Twenty-five participants with stroke wore the wearable (AX3, Axivity) on the lower back during a laboratory 2 minute continuous walk (preferred pace) on two occasions a week apart and continuously in the community for two consecutive 7 day periods. Video, instrumented walkway (GaitRite) and an OPAL accelerometer-based wearable were used as laboratory references.

Feasibility of the proposed system was good. The system was valid for measuring step count (ICC 0.899). Inherent differences in gait quantification between algorithm and GaitRite resulted in difficulties comparing agreement between the different systems. Agreement was moderate-excellent (ICC 0.503–0.936) for mean and variability gait characteristics vs. OPAL. Agreement was moderate-poor between the system and OPAL for asymmetry characteristics. Moderate-excellent reliability (ICC 0.534–0.857) was demonstrated for 11/14 laboratory measured gait characteristics. Community test-retest reliability was good-excellent (ICC 0.867–0.983) for all except one (ICC 0.699) of the 19 gait characteristics.

The proposed system is a low-cost, reliable tool for quantifying gait post-stroke with multiple potential applications. Further refinement to optimise gait quantification algorithms for certain gait characteristics including gait asymmetry is required.

Item Type: Article
Additional Information: Funding information: Health Education England and the National Institute for Health Research (ICA-CL-2015-01-012).
Uncontrolled Keywords: Stroke, Physical activity, Sedentary behaviour, Systematic review, Behaviour change
Subjects: B300 Complementary Medicine
C600 Sports Science
Department: Faculties > Health and Life Sciences > Nursing, Midwifery and Health
Faculties > Health and Life Sciences > Sport, Exercise and Rehabilitation
Depositing User: Elena Carlaw
Date Deposited: 12 Dec 2019 15:58
Last Modified: 10 Nov 2021 15:05

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