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  4. Robustness of In-Laboratory and Daily-Life Gait Speed Measures over One Year in High Functioning 61-to 70-Year-Old Adults
 
research article

Robustness of In-Laboratory and Daily-Life Gait Speed Measures over One Year in High Functioning 61-to 70-Year-Old Adults

Rojer, Anna G. M.
•
Coni, Alice
•
Mellone, Sabato
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March 22, 2021
Gerontology

Introduction: Gait speed is a simple and safe measure with strong predictive value for negative health outcomes in clinical practice, yet in-laboratory gait speed seems not representative for daily-life gait speed. This study aimed to investigate the interrelation between and robustness of in-laboratory and daily-life gait speed measures over 12 months in 61- to 70-year-old adults. Methods: Gait speed was assessed in laboratory through standardized stopwatch tests and in daily life by 7 days of trunk accelerometry in the PreventIT cohort, at baseline, and after 6 and 12 months. The interrelation was investigated using Pearson's correlations between gait speed measures at each time point. For robustness, changes over time and variance components were assessed by ANOVA and measurement agreement over time by Bland-Altman analyses. Results: Included were 189 participants (median age 67 years [interquartile range: 64-68], 52.2% females). In-laboratory and daily-life gait speed measures showed low correlations (Pearson's r = 0.045-0.455) at each time point. Moreover, both in-laboratory and daily-life gait speed measures appeared robust over time, with comparable and smaller within-subject than between-subject variance (range 0.001-0.095 m/s and 0.032-0.397 m/s, respectively) and minimal differences between measurements over time (Bland-Altman) with wide limits of agreement (standard deviation of mean difference range: 0.12-0.34 m/s). Discussion/Conclusion: In-laboratory and daily-life gait speed measures show robust assessments of gait speed over 12 months and are distinct constructs in this population of high-functioning adults. This suggests that (a combination of) both measures may have added value in predicting health outcomes.

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Type
research article
DOI
10.1159/000514150
Web of Science ID

WOS:000632544400001

Author(s)
Rojer, Anna G. M.
Coni, Alice
Mellone, Sabato
Van Ancum, Jeanine M.
Vereijken, Beatrix
Helbostad, Jorunn L.
Taraldsen, Kristin
Mikolaizak, Stefanie
Becker, Clemens
Aminian, Kamiar  
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Date Issued

2021-03-22

Publisher

KARGER

Published in
Gerontology
Volume

67

Issue

6

Start page

650

End page

659

Subjects

Geriatrics & Gerontology

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accelerometry

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walking speed

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motor activity

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longitudinal studies

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMAM  
Available on Infoscience
April 24, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/177625
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