Related Experiment Video
Updated: May 12, 2026
Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
Published on: January 15, 2016
Is gait speed or walking distance a better predictor for community walking after stroke?
Merel Bijleveld-Uitman1, Ingrid van de Port, Gert Kwakkel
1Centre of Excellence for Rehabilitation Medicine Utrecht, Rehabilitation Centre De Hoogstraat and Rudolf Magnus Institute, 3583 TM Utrecht Utrecht, The Netherlands.
Objective:
To determine if gait speed or walking distance is a better predictor for community walking after stroke.
Methods:
Data from the FIT-Stroke trial were used in a cross-sectional design. Community walking was measured with a self-administered questionnaire. The 5-m timed walk and the 6-min walk were used to assess gait speed and walking distance. With bivariate regression analyses the association between gait speed or walking distance and community walking was tested and possible confounders were identified. Discriminative properties of gait speed and walking distance for community walking were investigated by means of receiver operating characteristic (ROC) curves.
Results:
79% of 241 patients were classified as community walkers. Standing balance, fear of falling and time post-stroke were found to be significant confounders in the relationship between gait speed and community walking. No significant confounders were found for the association between walking distance and community walking. There was no significant difference between the area under the curve of the ROC curves of gait speed (0.86), walking distance (0.89) and gait speed adjusted for confounding (0.89).
Conclusion:
Gait speed and walking distance are equally appropriate predictors for community walking after stroke, whereas the contribution of confounders is limited.
