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Updated: Jan 30, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
Published on: March 4, 2018
Relationship Between Observational Wisconsin Gait Scale, Gait Deviation Index, and Gait Variability Index in
Agnieszka Guzik1, Mariusz Drużbicki1, Lorenza Maistrello2
1Institute of Physiotherapy, Medical Faculty, University of Rzeszow, Rzeszow, Poland.
Objective:
To compare results of the observational Wisconsin Gait Scale (WGS) and global gait indexes such as Gait Deviation Index (GDI) and Gait Variability Index (GVI), constituting an objective method of assessing gait, and taking into account parameters identified during 3-dimensional gait analysis (3DGA).
Design:
A validation study.
Setting:
Rehabilitation clinic.
Participants:
A total of 50 individuals poststroke and 50 individuals without stroke and without gait disorders (N=100).
Interventions:
Not applicable.
Main Outcome Measures:
Gait was evaluated using the WGS. GDI and GVI values were acquired using a movement analysis system. The global gait indexes GDI and GVI were determined based on the kinematic and spatiotemporal parameters, respectively.
Results:
The study showed statistically significant correlations between the parameters of GDI affected leg and WGS total score (R=-0.87), GVI affected leg and WGS total score (R=-0.93), GVI unaffected leg and WGS total score (R=-0.88), GVI affected/unaffected leg and the total score in the assessment of spatiotemporal parameters on the WGS (R=-0.81) as well as GDI affected leg and the total score in the assessment of kinematics parameters on the WGS (R=-0.85). All correlations were strong (0.7<|R|<0.9) or very strong (0.9<|R|<1).
Conclusions:
WGS scores have a strong or very strong correlation with GDI and GVI. The WGS may be recommended as a substitute tool to be used when 3DGA is unavailable, as it is a useful ordinal scale, enabling simple and accurate observational assessment of gait in patients poststroke, with effectiveness that is comparable to the GDI and GVI.
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