Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study

Abstract Gait speed is a reliable outcome measure across multiple diagnoses, recognized as the 6th vital sign. The focus of the present study was on assessment of gait speed in long-term real-life settings with the aim to: (1) demonstrate feasibility in large cohort studies, using data recorded with...

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Autores principales: Abolfazl Soltani, Nazanin Abolhassani, Pedro Marques-Vidal, Kamiar Aminian, Peter Vollenweider, Anisoara Paraschiv-Ionescu
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/83cb6f71751140c6ae31b58b52bf6921
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spelling oai:doaj.org-article:83cb6f71751140c6ae31b58b52bf69212021-12-02T18:48:09ZReal-world gait speed estimation, frailty and handgrip strength: a cohort-based study10.1038/s41598-021-98359-02045-2322https://doaj.org/article/83cb6f71751140c6ae31b58b52bf69212021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98359-0https://doaj.org/toc/2045-2322Abstract Gait speed is a reliable outcome measure across multiple diagnoses, recognized as the 6th vital sign. The focus of the present study was on assessment of gait speed in long-term real-life settings with the aim to: (1) demonstrate feasibility in large cohort studies, using data recorded with a wrist-worn accelerometer device; (2) investigate whether the walking speed assessed in the real-world is consistent with expected trends, and associated with clinical scores such as frailty/handgrip strength. This cross-sectional study included n = 2809 participants (1508 women, 1301 men, [45–75] years old), monitored with a wrist-worn device for 13 consecutive days. Validated algorithms were used to detect the gait bouts and estimate speed. A set of metrics were derived from the statistical distribution of speed of gait bouts categorized by duration (short, medium, long). The estimated usual gait speed (1–1.6 m/s) appears consistent with normative values and expected trends with age, gender, BMI and physical activity levels. Speed metrics significantly improved detection of frailty: AUC increase from 0.763 (no speed metrics) to 0.798, 0.800 and 0.793 for the 95th percentile of individual’s gait speed for bout durations < 30, 30–120 and > 120 s, respectively (all p < 0.001). Similarly, speed metrics also improved the prediction of handgrip strength: AUC increase from 0.669 (no speed metrics) to 0.696, 0.696 and 0.691 for the 95th percentile of individual’s gait speed for bout durations < 30, 30–120 and > 120 s, respectively (all p < 0.001). Forward stepwise regression showed that the 95th percentile speed of gait bouts with medium duration (30–120 s) to be the best predictor for both conditions. The study provides evidence that real-world gait speed can be estimated using a wrist-worn wearable system, and can be used as reliable indicator of age-related functional decline.Abolfazl SoltaniNazanin AbolhassaniPedro Marques-VidalKamiar AminianPeter VollenweiderAnisoara Paraschiv-IonescuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Abolfazl Soltani
Nazanin Abolhassani
Pedro Marques-Vidal
Kamiar Aminian
Peter Vollenweider
Anisoara Paraschiv-Ionescu
Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
description Abstract Gait speed is a reliable outcome measure across multiple diagnoses, recognized as the 6th vital sign. The focus of the present study was on assessment of gait speed in long-term real-life settings with the aim to: (1) demonstrate feasibility in large cohort studies, using data recorded with a wrist-worn accelerometer device; (2) investigate whether the walking speed assessed in the real-world is consistent with expected trends, and associated with clinical scores such as frailty/handgrip strength. This cross-sectional study included n = 2809 participants (1508 women, 1301 men, [45–75] years old), monitored with a wrist-worn device for 13 consecutive days. Validated algorithms were used to detect the gait bouts and estimate speed. A set of metrics were derived from the statistical distribution of speed of gait bouts categorized by duration (short, medium, long). The estimated usual gait speed (1–1.6 m/s) appears consistent with normative values and expected trends with age, gender, BMI and physical activity levels. Speed metrics significantly improved detection of frailty: AUC increase from 0.763 (no speed metrics) to 0.798, 0.800 and 0.793 for the 95th percentile of individual’s gait speed for bout durations < 30, 30–120 and > 120 s, respectively (all p < 0.001). Similarly, speed metrics also improved the prediction of handgrip strength: AUC increase from 0.669 (no speed metrics) to 0.696, 0.696 and 0.691 for the 95th percentile of individual’s gait speed for bout durations < 30, 30–120 and > 120 s, respectively (all p < 0.001). Forward stepwise regression showed that the 95th percentile speed of gait bouts with medium duration (30–120 s) to be the best predictor for both conditions. The study provides evidence that real-world gait speed can be estimated using a wrist-worn wearable system, and can be used as reliable indicator of age-related functional decline.
format article
author Abolfazl Soltani
Nazanin Abolhassani
Pedro Marques-Vidal
Kamiar Aminian
Peter Vollenweider
Anisoara Paraschiv-Ionescu
author_facet Abolfazl Soltani
Nazanin Abolhassani
Pedro Marques-Vidal
Kamiar Aminian
Peter Vollenweider
Anisoara Paraschiv-Ionescu
author_sort Abolfazl Soltani
title Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
title_short Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
title_full Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
title_fullStr Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
title_full_unstemmed Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
title_sort real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/83cb6f71751140c6ae31b58b52bf6921
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