Trends in smartphone-based walking speed measurement and its association with frailty in community dwellers

Objective: Technological innovations, such as smartphones, have made it possible to measure walking speed in daily life; however, the accuracy of and trends in gait speed measurement in frail older adults still need to be thoroughly investigated. This study examined the accuracy of smartphone-measur...

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Bibliographic Details
Published inJapanese Journal of Geriatric Therapy Vol. 3; p. 2024_005_OA
Main Authors KUBOTA, Anna, HASHIDA, Kohichi, MIYATA, Hiroaki, HOTTA, Kazuki, YAMASHITA, Masashi, KAMIYA, Kentaro
Format Journal Article
LanguageJapanese
Published The Japan Geriatric Therapy Society 29.08.2024
一般社団法人 日本老年療法学会
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ISSN2436-908X
DOI10.57270/jgts.2024_005_OA

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Summary:Objective: Technological innovations, such as smartphones, have made it possible to measure walking speed in daily life; however, the accuracy of and trends in gait speed measurement in frail older adults still need to be thoroughly investigated. This study examined the accuracy of smartphone-measured walking speed and its relationship with frailty in older adults attending preventive care facilities. Methods: Eight subjects who had been attending preventive care facilities were included in this prospective study. A walking speed measurement app, Chami, was installed on their personal smartphones, which were used to obtain the daily number of steps and daily walking speed during the one-year follow-up period. The association between the smartphone-recorded walking speed and the level of frailty assessed by the revised Japanese version of the Cardiovascular Health Study criteria was examined using Spearman's rank correlation coefficient. Results: Three of the subjects in this study were frail, and five were prefrail. A tendency was observed in those with a greater degree of frailty to have slower walking speeds measured by the app (ρ = –0.2142), fewer days in which walking speeds could be recorded (ρ = –0.7433), and a greater coefficient of variation for recorded walking speed data(ρ = 0.4662). Conclusion: The degree of frailty may be related to the smartphone-based walking speed of older adults, as well as the accuracy of the measurement.
ISSN:2436-908X
DOI:10.57270/jgts.2024_005_OA