A larger variation in the walking speed was related to the health status without hypertension or frailty. 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. 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. The intra-day variation in walking speed was attributed to variation in cadence. ResultsĪ 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). Factors associated with the class were identified by logistic regression analysis. Intra-day walking speed variation patterns were classified by latent class analysis.

Average walking speeds for five time periods were analyzed with a linear mixed model. Methodsĭaily life outdoor walking speed was measured in 92 participants (average age 71.9 years±5.64) using a GPS smartphone app for 1 month. We aimed to determine the types of walking speed variations and examine the factors associated with them. 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.

Walking speed is an important measure associated with health outcomes in older individuals, such as dependency and death.