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

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...

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Main Authors: Kimberley S. van Schooten, Mirjam Pijnappels, Stephen R. Lord, Jaap H. van Dieën
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/20/4388
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spelling doaj-4cfac8460543408c87304d89a9d53a1c2020-11-25T01:58:45ZengMDPI AGSensors1424-82202019-10-011920438810.3390/s19204388s19204388Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and FallsKimberley S. van Schooten0Mirjam Pijnappels1Stephen R. Lord2Jaap H. van Dieën3Neuroscience Research Australia, University of New South Wales, Sydney, NSW 2031, AustraliaDepartment of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam Movement Sciences, 1081BT Amsterdam, The NetherlandsNeuroscience Research Australia, University of New South Wales, Sydney, NSW 2031, AustraliaDepartment of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam Movement Sciences, 1081BT Amsterdam, The NetherlandsTechnological 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.https://www.mdpi.com/1424-8220/19/20/4388intervention studiesaccelerometryactivity monitoringagedaccidental falls
collection DOAJ
language English
format Article
sources DOAJ
author Kimberley S. van Schooten
Mirjam Pijnappels
Stephen R. Lord
Jaap H. van Dieën
spellingShingle Kimberley S. van Schooten
Mirjam Pijnappels
Stephen R. Lord
Jaap H. van Dieën
Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls
Sensors
intervention studies
accelerometry
activity monitoring
aged
accidental falls
author_facet Kimberley S. van Schooten
Mirjam Pijnappels
Stephen R. Lord
Jaap H. van Dieën
author_sort Kimberley S. van Schooten
title Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls
title_short Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls
title_full Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls
title_fullStr Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls
title_full_unstemmed Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls
title_sort quality of daily-life gait: novel outcome for trials that focus on balance, mobility, and falls
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-10-01
description 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.
topic intervention studies
accelerometry
activity monitoring
aged
accidental falls
url https://www.mdpi.com/1424-8220/19/20/4388
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AT stephenrlord qualityofdailylifegaitnoveloutcomefortrialsthatfocusonbalancemobilityandfalls
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