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. 2017 Apr 8;5(2):207-214.
doi: 10.3889/oamjms.2017.051. eCollection 2017 Apr 15.

Relationship between Gait Parameters and Postural Stability in Early and Late Parkinson's Disease and Visual Feedback-Based Balance Training Effects

Mohieldin M Ahmed  1 , Douaa M Mosalem  1 , Aziz K Alfeeli  1 , Ayyoub B Baqer  2 , Doaa Youssry Soliman  3
Affiliations

Relationship between Gait Parameters and Postural Stability in Early and Late Parkinson's Disease and Visual Feedback-Based Balance Training Effects

Mohieldin M Ahmed et al. Open Access Maced J Med Sci. .

Abstract

Background: Gait disorders or postural instability has been done before. However, lack of reviews has addressed the relation between gait and postural stability in Parkinson's disease (PD).

Aim: The aim was to evaluate the relation between gait parameters and postural stability in early and late stages of PD.

Materials and methods: The forty-one idiopathic PD patients were divided into two groups into a group (A) considered as early PD and group (B) considered as late ambulant PD. They were evaluated for postural stability by computerised dynamic posturography (CDP) device and gait analysis using an 8 m-camera Vicon 612 data capturing system set.

Results: There was a statistically significant improvement of composite equilibrium score, the composite latency of motor response, walking speed and cadence after treatment as compared to before training (p < 0.05) in early PD. However, in the late PD, there was a non-significant change of previous parameters after treatment as compared to before training (p > 0.05). There was a significant correlation between UPDRS motor part score, walking speed and composite equilibrium score after training in early PD (p > 0.05).

Conclusions: Both gait analysis and CDP are important quantitative assessment tools of gait and posture instability.

Keywords: Computerized Dynamic Posturography (CDP); Parkinson’s disease (PD); kinetic and kinematic gait and Rehabilitation.

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Figures

Figure 1
Figure 1
Composite equilibrium score of SOT parameters with Composite Equilibrium Score (CES) about 35 % for Parkinson diseases (PD) patient
Figure 2
Figure 2
Composite latency of motor response of motor control test (MCT) for Parkinson diseases (PD) patient
Figure 3
Figure 3
Kinetics: gait cycle parameters for Parkinson diseases (PD) patient
Figure 4
Figure 4
Kinematics (joint rotation angles): Average curves of joint rotation angles for Parkinson diseases (PD) patient (less dark line) and control subject (dark line) with low angle of hip joints
Figure 5
Figure 5
Correlation between the UPDRS motor part and walking speed (r = 0.686, p < 0.001) after visual feedback-based balance training for early Parkinson diseases (PD) patient (top). Correlation between the UPDRS motor part and step length (r = 0.875, p < 0.001) after visual feedback-based balance training for early Parkinson diseases (PD) patient (middle). Correlation between the UPDRS motor part and Composite equilibrium score (CES) (r = 0.431, p < 0.05) after visual feedback-based balance training for early Parkinson diseases (PD) patient (bottom)
See this image and copyright information in PMC

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