Turning Pattern of Different Body Segments During Turns and Turning Performance in Healthy Adults and People With Parkinson's Disease
Turning Pattern of Different Body Segments During Turns and Turning Performance in Healthy Adults and People With Parkinson's Disease
This is a cross-sectional exploratory study. A total of 25 people with PD, 25 young healthy adults, and 25 middle to older adults will be recruited. Axial segment turning pattern and turning performance will be evaluated in two visits using the Vicon 3D motion analysis system, Gaitup, and 3D motion camera. The independent variables are the initiation timing of the head, upper trunk, pelvis, ankle, and foot when turning and the initiation sequence of turning (% turn). The dependent variables are turning performance, including turning velocity, turning steps, turning step length, turning step width), and stance phase (%).
The first aim of the present study is to explore the correlation between axial segment turning pattern and turning performance in people with PD and healthy adults.
The second aim is to verify the validity and reliability of 3D motion camera in turning evaluation.
A total of 25 people with PD, 25 young healthy adults, and 25 middle to older adults will be recruited.
Axial segment turning pattern and turning performance will be evaluated in two visits using the Vicon 3D motion analysis system, Gaitup, and 3D motion camera.
The independent variables are the initiation timing of the head, upper trunk, pelvis, ankle, and foot when turning and the initiation sequence of turning (% turn). The dependent variables are turning performance, including turning velocity, turning steps, turning step length, turning step width), and stance phase (%).
For the data analysis, the Shapiro-Wilk test will be used to check for normal distribution. Pearson's correlation coefficient or Spearman's rank correlation coefficient will be used to examine the correlations between axial segment initiation timing and turning performance. To verify the validity and reliability, Pearson's correlation coefficient will be used for concurrent criterion validity. Intraclass correlation one-way random model will be used for test-retest reliability, showed with intraclass correlation coefficient and 95% confidence interval. A p-value of less than 0.05 is considered statistically significant.
Inclusion Criteria:
Exclusion Criteria: