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Comparison of Self-report and Performance-Based Balance Measures for Predicting Recurrent Falls in People With Parkinson Disease: Cohort Study.

作者信息

Almeida Lorena R S, Valenca Guilherme T, Negreiros Nádja N, Pinto Elen B, Oliveira-Filho Jamary

机构信息

L.R.S. Almeida, PT, MSc, Movement Disorders and Parkinson's Disease Clinic, Roberto Santos General Hospital/SESAB, Rua Direta do Saboeiro, s/n-Cabula, 41180-780, Salvador, Bahia, Brazil; Postgraduate Program in Health Sciences, School of Medicine, Federal University of Bahia, Salvador, Bahia, Brazil; and Behavior and Motor Learning Research Group, Bahiana School of Medicine and Public Health, Salvador, Bahia, Brazil.

G.T. Valenca, MD, PhD, Movement Disorders and Parkinson's Disease Clinic, Roberto Santos General Hospital/SESAB, and Health Sciences Center, Federal University of Reconcavo of Bahia, Santo Antônio de Jesus, Bahia, Brazil.

出版信息

Phys Ther. 2016 Jul;96(7):1074-84. doi: 10.2522/ptj.20150168. Epub 2016 Jan 28.


DOI:10.2522/ptj.20150168
PMID:26821572
Abstract

BACKGROUND: Balance confidence and fear of falling are factors associated with recurrent falls in people with Parkinson disease (PD). However, the accuracy for predicting falls on the basis of self-report measures has not been widely investigated. OBJECTIVE: The study objectives were: (1) to compare the accuracy of the Activities-specific Balance Confidence Scale (ABC) and the Falls Efficacy Scale-International (FES-I) with that of the Berg Balance Scale (BBS), Dynamic Gait Index (DGI), Functional Reach Test (FRT), and Timed "Up & Go" Test (TUG) for predicting recurrent falls in people with PD and (2) to explore the ability of combinations of up to 3 tests to predict recurrent falls. DESIGN: This was a prospective cohort study involving 225 people with PD. METHODS: Participants were assessed with the ABC, FES-I, BBS, FRT, TUG, and DGI. Participants who reported 2 or more falls in the 12-month follow-up period were classified as recurrent fallers. Areas under the receiver operating characteristic curves were determined, and the Akaike information criterion was used to select the best predictive model. RESULTS: Eighty-four participants (37.3%) were classified as recurrent fallers. Areas under the receiver operating characteristic curves for the ABC, FES-I, TUG, FRT, DGI, and BBS were 0.73, 0.74, 0.72, 0.74, 0.76, and 0.79, respectively. Two-test models provided additional discriminating ability compared with individual measures and had Akaike information criterion values similar to those of 3-test models, particularly the combination of the BBS with the FES-I. LIMITATIONS: The lack of an external validation sample was a limitation of this study. CONCLUSIONS: The ABC and FES-I demonstrated moderate accuracy in predicting recurrent falls and a predictive ability similar to that of performance-based balance measures, especially the FRT and the TUG. Two-test models showed performance similar to that of 3-test models, suggesting that a combination of 2 measures may improve the ability to predict recurrent falls in people with PD. Specifically, the combination of the BBS with the FES-I may be considered.

摘要

相似文献

[1]
Comparison of Self-report and Performance-Based Balance Measures for Predicting Recurrent Falls in People With Parkinson Disease: Cohort Study.

Phys Ther. 2016-7

[2]
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[3]
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[4]
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[6]
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[8]
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[2]
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[3]
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[4]
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Acta Neurol Belg. 2024-4

[5]
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[6]
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[7]
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J Parkinsons Dis. 2023

[8]
Feasibility of a Novel Therapist-Assisted Feedback System for Gait Training in Parkinson's Disease.

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[9]
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[10]
A new postural stability-indicator to predict the level of fear of falling in Parkinson's disease patients.

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