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Journal of NeuroEngineering and Rehabilitation
Published in: Journal of NeuroEngineering and Rehabilitation 1/2020

Open Access 01-12-2020 | Sarcopenia | Research

Spatio-temporal gait variables predicted incident disability

Authors: Takehiko Doi, Sho Nakakubo, Kota Tsutsumimoto, Min-Ji Kim, Satoshi Kurita, Hideaki Ishii, Hiroyuki Shimada

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2020

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Abstract

Background

Assessing the risk of disability in older adults is important for developing prevention and intervention strategies to decrease potential disability and dependency. The aim of this study was to examine the association between spatio-temporal gait variables and disability among older adults.

Methods

We conducted a prospective study in a community setting. We collected data from 4121 subjects (≥ 65 years, mean age: 71.9 years). Gait speed, cadence, stride length, and stride length variability were measured at baseline. Participants were instructed to walk at their usual pace along a 6.4 m straight and flat path on which an electronic gait measuring device was mounted at mid 2.4 m. Subsequent disability was confirmed from long-term care insurance records.

Results

During follow-up duration (mean: 49.6 months), 425 participants had incident disability. The cut-off value to detect high or low function in each gait variable was determined using the Youden index. Cox proportional hazard analysis adjusted for covariates showed that disability was significantly predicted by low function in each gait variable using the cut-off values: gait speed (hazard ratio [95% confidential intervals]: 2.06 [1.65–2.57]), stride length (2.17 [1.72–2.73]), cadence (1.49 [1.20–1.86], and stride length variability (1.46 [1.19–1.80]). The number of gait variables that scored in the low function category were also cumulatively related to subsequent disability (p < .001).

Conclusions

This study revealed that spatio-temporal gait variables had a significant predictive value for incident disability. Multifaceted and quantitative gait analysis can contribute to disability risk assessment.
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Metadata
Title
Spatio-temporal gait variables predicted incident disability
Authors
Takehiko Doi
Sho Nakakubo
Kota Tsutsumimoto
Min-Ji Kim
Satoshi Kurita
Hideaki Ishii
Hiroyuki Shimada
Publication date
01-12-2020
Publisher
BioMed Central
Keyword
Sarcopenia
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2020
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/s12984-020-0643-4

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