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Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network
Open AccessArticle

Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls

1
Neuroscience Research Australia, University of New South Wales, Sydney, NSW 2031, Australia
2
School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, NSW 2033, Australia
3
Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4388; https://doi.org/10.3390/s19204388
Received: 30 August 2019 / Revised: 8 October 2019 / Accepted: 8 October 2019 / Published: 11 October 2019
(This article belongs to the Special Issue Wearable Sensors in Healthcare: Methods, Algorithms, Applications)
Technological advances in inertial sensors allow for monitoring of daily-life gait characteristics as a proxy for fall risk. The quality of daily-life gait could serve as a valuable outcome for intervention trials, but the uptake of these measures relies on their power to detect relevant changes in fall risk. We collected daily-life gait characteristics in 163 older people (aged 77.5 ± 7.5, 107♀) over two measurement weeks that were two weeks apart. We present variance estimates of daily-life gait characteristics that are sensitive to fall risk and estimate the number of participants required to obtain sufficient statistical power for repeated comparisons. The provided data allows for power analyses for studies using daily-life gait quality as outcome. Our results show that the number of participants required (i.e., 8 to 343 depending on the anticipated effect size and between-measurements correlation) is similar to that generally used in fall prevention trials. We propose that the quality of daily-life gait is a promising outcome for intervention studies that focus on improving balance and mobility and reducing falls. View Full-Text
Keywords: intervention studies; accelerometry; activity monitoring; aged; accidental falls intervention studies; accelerometry; activity monitoring; aged; accidental falls
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van Schooten, K.S.; Pijnappels, M.; Lord, S.R.; van Dieën, J.H. Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls. Sensors 2019, 19, 4388.

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