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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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 |
work_keys_str_mv |
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