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Updated: May 30, 2026
Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
Association between walking speed and age in healthy, free-living individuals using mobile accelerometry--a
Michaela Schimpl1, Carmel Moore, Christian Lederer
1Sylvia Lawry Centre for Multiple Sclerosis Research e.V.-The Human Motion Institute, Munich, Germany.
Context:
Walking speed is a fundamental parameter of human motion and is increasingly considered as an important indicator of individuals' health status.
Objective:
To evaluate the relationship of gait parameters, and demographic and physical characteristics in healthy men and women.
Design, Setting, And Participants:
Recruitment of a subsample (n = 358) of male and female blood donors taking part in the Cambridge CardioResource study. Collection of demographic data, measurement of physical characteristics (height, weight and blood pressure) and assessment of 7-day, free-living activity parameters using accelerometry and a novel algorithm to measure walking speed. Participants were a median (interquartile range[IQR]) age of 49 (16) years; 45% women; and had a median (IQR) BMI of 26 (5.4).
Main Outcome Measure:
Walking speed.
Results:
In this study, the hypothesis that walking speed declines with age was generated using an initial 'open' dataset. This was subsequently validated in a separate 'closed' dataset that showed a decrease of walking speed of -0.0037 m/s per year. This is equivalent to a difference of 1.2 minutes, when walking a distance of 1 km aged 20 compared to 60 years. Associations between walking speed and other participant characteristics (i.e. gender, BMI and blood pressure) were non-significant. BMI was negatively correlated with the number of walking and running steps and longest non-stop distance.
Conclusion:
This is the first study using accelerometry which shows an association between walking speed and age in free-living, healthy individuals. Absolute values of gait speed are comparable to published normal ranges in clinical settings. This study highlights the potential use of mobile accelerometry to assess gait parameters which may be indicative of future health outcomes in healthy individuals.
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