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Association between Daily Living Walking Speed and Walking Speed in Laboratory Settings in Healthy Older Adults

Author

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  • Hisashi Kawai

    (Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-Ku, Tokyo 173-0015, Japan)

  • Shuichi Obuchi

    (Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-Ku, Tokyo 173-0015, Japan)

  • Yutaka Watanabe

    (Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-Ku, Tokyo 173-0015, Japan
    Gerodontology, Department of Oral Health Science, Faculty of Dental Medicine, Hokkaido University, Kita13, Nishi7, Kita-Ku, Sapporo 060-8586, Japan)

  • Hirohiko Hirano

    (Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-Ku, Tokyo 173-0015, Japan)

  • Yoshinori Fujiwara

    (Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-Ku, Tokyo 173-0015, Japan)

  • Kazushige Ihara

    (Faculty of Medicine, Hirosaki University, 5 Zaifu-cho Hirosaki City, Aomori 036-8562, Japan)

  • Hunkyung Kim

    (Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-Ku, Tokyo 173-0015, Japan)

  • Yoshiyuki Kobayashi

    (Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, c/o Kashiwa II Campus, University of Tokyo, 6-2-3 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan)

  • Masaaki Mochimaru

    (Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, c/o Kashiwa II Campus, University of Tokyo, 6-2-3 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan)

  • Eiki Tsushima

    (Faculty of Medicine, Hirosaki University, 5 Zaifu-cho Hirosaki City, Aomori 036-8562, Japan)

  • Kozo Nakamura

    (Towa Hospital, 4-7-10 Towa, Adachi-Ku, Tokyo 120-0003, Japan)

Abstract

Although there is evidence on the predictors of adverse health outcomes in older individuals, walking speed has typically been measured in laboratory settings (LWS); LWS may be distinct from individuals’ actual walking speed in their daily lives (DWS). We examined whether DWS differs from LWS among older adults, and its association with physical frailty. Participants were 90 community-dwelling older adults. A five-meter normal (LWS nor ) and maximum (LWS max ) walking speed was measured with a stopwatch. DWS was measured using a global positioning system-related smartphone application for one month during their daily lives. DWS avr , DWS max , and DWS sd were defined as the average, maximum, and standard deviation of walking speed for one month. Participants’ mean DWS avr and DWS max were 1.28 m/s and 2.14 m/s, respectively, significantly slower than the mean LWS nor (1.42 m/s) and LWS max (2.24 m/s); the intraclass correlation coefficient between DWS and LWS were 0.188 to 0.341. DWS was significantly correlated with grip strength, one-legged stance, and LWS. The area under the receiver operating characteristic curve of DWS sd concerning pre-frailty was largest among DWSs, at 0.615, while that of LWS nor was 0.643. The findings suggest that DWS differs from LWS and is associated with physical function and pre-frailty.

Suggested Citation

  • Hisashi Kawai & Shuichi Obuchi & Yutaka Watanabe & Hirohiko Hirano & Yoshinori Fujiwara & Kazushige Ihara & Hunkyung Kim & Yoshiyuki Kobayashi & Masaaki Mochimaru & Eiki Tsushima & Kozo Nakamura, 2020. "Association between Daily Living Walking Speed and Walking Speed in Laboratory Settings in Healthy Older Adults," IJERPH, MDPI, vol. 17(8), pages 1-10, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2707-:d:345616
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    References listed on IDEAS

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    1. Michaela Schimpl & Christian Lederer & Martin Daumer, 2011. "Development and Validation of a New Method to Measure Walking Speed in Free-Living Environments Using the Actibelt® Platform," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-12, August.
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