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Intra-day variation in daily outdoor walking speed among community-dwelling older adults.
Kawai, Hisashi; Obuchi, Shuichi; Hirayama, Ryo; Watanabe, Yutaka; Hirano, Hirohiko; Fujiwara, Yoshinori; Ihara, Kazushige; Kim, Hunkyung; Kobayashi, Yoshiyuki; Mochimaru, Masaaki; Tsushima, Eiki; Nakamura, Kozo.
Afiliación
  • Kawai H; Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan. hkawai@tmig.or.jp.
  • Obuchi S; Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
  • Hirayama R; Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
  • Watanabe Y; Osaka City University, Osaka, Japan.
  • Hirano H; Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
  • Fujiwara Y; Gerodontology, Department of Oral Health Science, Faculty of Dental Medicine, Hokkaido University, Sapporo, Japan.
  • Ihara K; Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
  • Kim H; Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
  • Kobayashi Y; Faculty of Medicine, Hirosaki University, Aomori, Japan.
  • Mochimaru M; Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
  • Tsushima E; Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
  • Nakamura K; Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
BMC Geriatr ; 21(1): 417, 2021 07 08.
Article en En | MEDLINE | ID: mdl-34238238
ABSTRACT

BACKGROUND:

Walking speed is an important measure associated with health outcomes in older individuals, such as dependency and death. This study aimed to examine whether the walking speed of community-dwelling older adults varies between time periods within a day, as measured outdoors in daily life. We aimed to determine the types of walking speed variations and examine the factors associated with them.

METHODS:

Daily life outdoor walking speed was measured in 92 participants (average age 71.9 years±5.64) using a GPS smartphone app for 1 month. Average walking speeds for five time periods were analyzed with a linear mixed model. Intra-day walking speed variation patterns were classified by latent class analysis. Factors associated with the class were identified by logistic regression analysis.

RESULTS:

A statistically significant difference in average walking speed was found between early morning (1.33 m/s), and afternoon (1.27 m/s) and evening (1.26 m/s) (p < 0.01). The intra-day variation in walking speed was attributed to variation in cadence. Two classes were identified (1) fast walking speed with large variation and (2) slow walking speed with little variation; hypertension and frailty level were associated with the class.

CONCLUSION:

The results suggest that there is intra-day variation in walking speed in daily life, wherein the speed is the fastest early in the morning and slower in the afternoon and evening. A larger variation in the walking speed was related to the health status without hypertension or frailty. These results suggest that if a person shows less intra-day variation in walking speed, this could be a sign that they are susceptible to hypertension and an increased frailty level.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Velocidad al Caminar / Fragilidad Tipo de estudio: Prognostic_studies Límite: Aged / Humans Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Velocidad al Caminar / Fragilidad Tipo de estudio: Prognostic_studies Límite: Aged / Humans Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Japón