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Confirmatory Factor Analysis of the Motor Unified Parkinson’s Disease Rating Scale
Open accessAbstract
The motor examination section of the unified Parkinson’s disease rating scale (UPDRS) is widely used in research but few studies have examined whether subscales exist that tap relatively distinct motor abnormalities. We analyzed data from 193 persons enrolled in a population-based study in Central California. Patients were examined after overnight PD medication washout (“OFF” state) and approximately one hour after taking medication (“ON” state). We performed confirmatory factor analysis of the UPDRS for OFF and ON state examinations; correlations, reliability, and relative validity of resulting subscales were evaluated. A model with five factors (gait/posture, tremor, rigidity, bradykinesia affecting the left extremities, bradykinesia affecting the right extremities) fit the data well, with similar results for OFF and ON states. Internal consistency reliability coefficients were 0.90 or higher for all subscales. The gait/posture subscale most strongly discriminated across levels of patient reported PD symptom severity and of how PD affects them on a daily basis. Compared to the right sided bradykinesia subscale, the left sided bradykinesia subscale had higher discrimination across levels of self-reported PD symptom severity and functional impairment. This supports motor UPDRS containing multiple subscales that can be analyzed separately and provide information distinct from the total score that may be useful in clinical studies.
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In PD research, PCA and related techniques have been used to find a few intrinsic dimensions of PD signs within high-dimensional UPDRS data.
“In PD research PCA and related techniques have been used to find a few intrinsic dimensions of PD signs within high-dimensional UPDRS data. 17, 18”
From Machine learning for large‐scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures (2016) · cites this paper as [18]
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Sample size in factor analysis.
MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.1.84 · Cited by 5,497
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Kubota, K. J., Chen, J. A., & Little, M. A. (2016) · Movement Disorders · doi:10.1002/mds.26693 · Cited by 210
Metadata
- Authors
- Vassar, S. D., Bordelon, Y. M., Hays, R. D., Diaz, N., Rausch, R., Mao, C., & Vickrey, B. G.
- Affiliations
- University of California, Los Angeles (US)
- RAND Corporation (US)
- Harbor–UCLA Medical Center (US)
- Corresponding author
- Vickrey, Barbara G.
- ORCID
- Venue
- Parkinson's Disease
- Publisher
- Wiley
- Published
- 2012
- Volume
- 2012
- Pages
- 1-10
- ISSN
- 2042-0080 (ISSN-L)
- 2090-8083
- PMC
- PMC3486132
- OpenAlex
- W2148349251
- Cited by
- 45
- References
- 1
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 1 · 2018: 3 · 2017: 5 · 2016: 4 · 2015: 6 · 2014: 3 · 2013: 2
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Parkinson s Disease (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Center on Minority Health and Health Disparities (2P20MD000182, P30-AG021684)
- National Institute on Aging (2P20MD000182, P30-AG021684)
- National Institute of Neurological Disorders and Stroke (2P20MD000182, P30-AG021684)
- Parkinson’s Disease Research, Education, and Clinical Center (2P20MD000182, P30-AG021684)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- Unified Parkinson's Disease Rating Scale, subscale structure, factor structure, gait and posture, tremor, rigidity, bradykinesia, OFF state, ON state, internal consistency, validity, symptom severity, functional disability
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