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Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale

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Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale. / Martinez-Martin, Pablo; Rojo-Abuín, Jose Manuel; Weintraub, Daniel; Chaudhuri, Kallol Ray; Rodriguez-Blázquez, Carmen; Rizos, Alexandra; Schrag, Anette.

In: Movement Disorders, 01.01.2020.

Research output: Contribution to journalArticle

Harvard

Martinez-Martin, P, Rojo-Abuín, JM, Weintraub, D, Chaudhuri, KR, Rodriguez-Blázquez, C, Rizos, A & Schrag, A 2020, 'Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale', Movement Disorders. https://doi.org/10.1002/mds.28002

APA

Martinez-Martin, P., Rojo-Abuín, J. M., Weintraub, D., Chaudhuri, K. R., Rodriguez-Blázquez, C., Rizos, A., & Schrag, A. (Accepted/In press). Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale. Movement Disorders. https://doi.org/10.1002/mds.28002

Vancouver

Martinez-Martin P, Rojo-Abuín JM, Weintraub D, Chaudhuri KR, Rodriguez-Blázquez C, Rizos A et al. Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale. Movement Disorders. 2020 Jan 1. https://doi.org/10.1002/mds.28002

Author

Martinez-Martin, Pablo ; Rojo-Abuín, Jose Manuel ; Weintraub, Daniel ; Chaudhuri, Kallol Ray ; Rodriguez-Blázquez, Carmen ; Rizos, Alexandra ; Schrag, Anette. / Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale. In: Movement Disorders. 2020.

Bibtex Download

@article{f956436cb60a4e88bd58f10fbfcdee2b,
title = "Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale",
abstract = "Background: The primary validation of the Movement Disorder Society Non-Motor Rating Scale was recently published, but 2 important structural analyses were not included. The objective of this study was to examine the structural characteristics of the Movement Disorder Society Non-Motor Rating Scale by factor and cluster analyses. Methods: Data came from the validation study, an international multicenter cross-sectional study of 402 Parkinson's disease patients. Demographic and clinical data, the Movement Disorder Society Non-Motor Rating Scale, and Hoehn and Yahr staging were used. Exploratory and confirmatory factor analysis and nonhierarchical cluster analysis were performed. Results: The exploratory factor analysis showed that all 13 domains of the Movement Disorder Society Non-Motor Rating Scale, except 1, and the Non-Motor Fluctuations subscale performed as unidimensional (variance explained: 0.36, sleep and wakefulness; −0.82, orthostatic hypotension). The confirmatory factor analysis could be carried out in 9 domains and showed that 6 of them and the Non-Motor Fluctuations subscale adjusted to the model satisfactorily according to the root mean square error of approximation. Furthermore, all domains had comparative fit index values >0.95, except depression and pain (both, 0.94) and sleep and wakefulness (0.90). The Non-Motor Fluctuations subscale showed satisfactory root mean square error of approximation (0.07), but a low comparative fit index value (0.91). A 5-cluster solution, correctly classifying 96{\%} of the cases, was found. Conclusions: Overall, most subscales of the Movement Disorder Society Non-Motor Rating Scale are unidimensional, and although each subscale is distinct in terms of content covered, factors and clusters that are of clinical relevance are discernible and contribute to our understanding of possible nonmotor subtypes in Parkinson's disease.",
keywords = "cluster analysis, factor analysis, Nonmotor symptoms, Parkinson's disease, rating scale",
author = "Pablo Martinez-Martin and Rojo-Abu{\'i}n, {Jose Manuel} and Daniel Weintraub and Chaudhuri, {Kallol Ray} and Carmen Rodriguez-Bl{\'a}zquez and Alexandra Rizos and Anette Schrag",
year = "2020",
month = "1",
day = "1",
doi = "10.1002/mds.28002",
language = "English",
journal = "Movement disorders : official journal of the Movement Disorder Society",
issn = "0885-3185",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Factor Analysis and Clustering of the Movement Disorder Society–Non-Motor Rating Scale

AU - Martinez-Martin, Pablo

AU - Rojo-Abuín, Jose Manuel

AU - Weintraub, Daniel

AU - Chaudhuri, Kallol Ray

AU - Rodriguez-Blázquez, Carmen

AU - Rizos, Alexandra

AU - Schrag, Anette

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Background: The primary validation of the Movement Disorder Society Non-Motor Rating Scale was recently published, but 2 important structural analyses were not included. The objective of this study was to examine the structural characteristics of the Movement Disorder Society Non-Motor Rating Scale by factor and cluster analyses. Methods: Data came from the validation study, an international multicenter cross-sectional study of 402 Parkinson's disease patients. Demographic and clinical data, the Movement Disorder Society Non-Motor Rating Scale, and Hoehn and Yahr staging were used. Exploratory and confirmatory factor analysis and nonhierarchical cluster analysis were performed. Results: The exploratory factor analysis showed that all 13 domains of the Movement Disorder Society Non-Motor Rating Scale, except 1, and the Non-Motor Fluctuations subscale performed as unidimensional (variance explained: 0.36, sleep and wakefulness; −0.82, orthostatic hypotension). The confirmatory factor analysis could be carried out in 9 domains and showed that 6 of them and the Non-Motor Fluctuations subscale adjusted to the model satisfactorily according to the root mean square error of approximation. Furthermore, all domains had comparative fit index values >0.95, except depression and pain (both, 0.94) and sleep and wakefulness (0.90). The Non-Motor Fluctuations subscale showed satisfactory root mean square error of approximation (0.07), but a low comparative fit index value (0.91). A 5-cluster solution, correctly classifying 96% of the cases, was found. Conclusions: Overall, most subscales of the Movement Disorder Society Non-Motor Rating Scale are unidimensional, and although each subscale is distinct in terms of content covered, factors and clusters that are of clinical relevance are discernible and contribute to our understanding of possible nonmotor subtypes in Parkinson's disease.

AB - Background: The primary validation of the Movement Disorder Society Non-Motor Rating Scale was recently published, but 2 important structural analyses were not included. The objective of this study was to examine the structural characteristics of the Movement Disorder Society Non-Motor Rating Scale by factor and cluster analyses. Methods: Data came from the validation study, an international multicenter cross-sectional study of 402 Parkinson's disease patients. Demographic and clinical data, the Movement Disorder Society Non-Motor Rating Scale, and Hoehn and Yahr staging were used. Exploratory and confirmatory factor analysis and nonhierarchical cluster analysis were performed. Results: The exploratory factor analysis showed that all 13 domains of the Movement Disorder Society Non-Motor Rating Scale, except 1, and the Non-Motor Fluctuations subscale performed as unidimensional (variance explained: 0.36, sleep and wakefulness; −0.82, orthostatic hypotension). The confirmatory factor analysis could be carried out in 9 domains and showed that 6 of them and the Non-Motor Fluctuations subscale adjusted to the model satisfactorily according to the root mean square error of approximation. Furthermore, all domains had comparative fit index values >0.95, except depression and pain (both, 0.94) and sleep and wakefulness (0.90). The Non-Motor Fluctuations subscale showed satisfactory root mean square error of approximation (0.07), but a low comparative fit index value (0.91). A 5-cluster solution, correctly classifying 96% of the cases, was found. Conclusions: Overall, most subscales of the Movement Disorder Society Non-Motor Rating Scale are unidimensional, and although each subscale is distinct in terms of content covered, factors and clusters that are of clinical relevance are discernible and contribute to our understanding of possible nonmotor subtypes in Parkinson's disease.

KW - cluster analysis

KW - factor analysis

KW - Nonmotor symptoms

KW - Parkinson's disease

KW - rating scale

UR - http://www.scopus.com/inward/record.url?scp=85082426088&partnerID=8YFLogxK

U2 - 10.1002/mds.28002

DO - 10.1002/mds.28002

M3 - Article

AN - SCOPUS:85082426088

JO - Movement disorders : official journal of the Movement Disorder Society

JF - Movement disorders : official journal of the Movement Disorder Society

SN - 0885-3185

ER -

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