Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 24, 2021
Open Peer Review Period: Apr 23, 2021 - Jun 18, 2021
Date Accepted: Aug 12, 2021
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Accuracy and diversity of wearable device-based gait speed measurement among older adults: Observational study
ABSTRACT
Gait speed measurement is used widely as a slow gait is a major feature of frailty and a diagnostic criterion for sarcopenia. With the development of wearable devices, it is possible to obtain daily life gait speed simply by wearing the device. Therefore, it is feasible and worthwhile to accurately determine the characteristics of daily-life gait speed and analyze their association with sarcopenia. We invited community-dwelling men over 50 years of age who had visited outpatient clinic at a tertiary university hospital. Daily life gait speed was assessed using a smart belt (WELT) the participants wore for a period of 4 weeks. Data from participants who wore the smart belt for at least 10 days during this period were included. After 4 weeks, data from a survey about medical and social history, “usual gait speed” measurements, handgrip strength measurements, and dual energy X-ray absorptiometry were analyzed. A total of 217,578 daily life gait speed data from 106 participants (mean age, 71.1 ± 7.6 years) were analyzed. The mean daily life gait speed was 1.23 ± 0.26 m/s. The daily life gait speed of the participants varied by time and day of the week. Daily life gait speed was significantly lower in older individuals (P<0.001). Participants with sarcopenia (1.12 ± 0.11 m/s) had significantly lower mean daily life gait speed than participants who did not have sarcopenia (1.23 ± 0.08 m/s; P<0.001). Analysis of factors related to mean daily life gait speed showed that age and skeletal muscle mass of the lower limbs were significantly associated characteristics. In conclusion, more diverse and accurate information about gait speed can be obtained by measuring daily life gait speed using a wearable device over an appropriate time period, compared to one-time measurements performed in a laboratory setting. Importantly, daily life gait speed is significantly associated with skeletal muscle mass of the lower limbs, in addition to age.
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