Turning Pattern of Different Body Segments During Turns and Turning Performance

NCT ID: NCT05929781

Last Updated: 2025-06-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

30 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-12-05

Study Completion Date

2024-08-31

Brief Summary

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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 (%).

Detailed Description

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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.

Conditions

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Parkinson's Disease

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Young healthy adults

1\. 20-39 years old

No interventions assigned to this group

Middle to older healthy adults

1. 40-80 years old
2. age-matched with People with Parkinson's disease group

No interventions assigned to this group

People with Parkinson's disease

1. 40-80 years old
2. Diagnosis of idiopathic Parkinson's disease
3. Hoehn and Yahr stage 1-2

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Able to walk 5 meters without assistance device
* Able to turn independently

Exclusion Criteria

* With neurological disorders
* MMSE\< 24
* Any systemic and musculoskeletal disturbances or other causes of walking inability
Minimum Eligible Age

20 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Yang Ming Chiao Tung University

OTHER

Sponsor Role lead

Responsible Party

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Yea-Ru Yang

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Yea-Ru Yang, Ph.D.

Role: STUDY_CHAIR

Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University

Locations

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Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University

Taipei, , Taiwan

Site Status

Countries

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Taiwan

Other Identifiers

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NYCU112100AE

Identifier Type: -

Identifier Source: org_study_id

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