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Type:	Artigo de Periódico
Title:	The Mini-BESTest is an independent predictor of falls in Parkinson disease
Authors:	Larissa Karlla Rodrigues Lopes Aline Alvim Scianni Lidiane Oliveira Lima Raquel de Carvalho Lana Fatima Rodrigues de Paula
Abstract:	Background: Falls in Parkinson Disease (PD) are a complex health problem, with multidimensional causes and consequences. Objectives: To identify the fall predictors in individuals with PD and compare fallers and non-fallers considering their socio-demographic, anthropometric, clinical and functional status. Methods: A multicenter cross-sectional design was employed. Variables included: age, sex, body mass index, PD progression, levodopa dosage, activities limitation and motor impairments (UPDRS ADL/Motor), level of physical activity (human activity profile – HAP), fear of falls (Falls Efficacy Scale-International-FES-I), freezing of gait (Freezing of Gait Questionnaire – FOG-Q), gait speed (10 meters walk test – 10-MWT), lower limb functional strength (Five Times Sit-to-Stand Test – FTSST), balance (Mini-BESTest), mobility (Timed “Up & Go” – TUG) and dual-task dynamic (TUG-DT). Seventeen potential predictors were identified. Logistic regression and ROC curve were applied. Results: Three-hundred and seventy individuals (44.87% fallers and 55.13% non-fallers) completed the study. Fallers presented worse performance in UPDRS motor/ADL/Total, FES-I, FOG-Q, Mini-BESTest, HAP, TUG and TUG-DT and the majority were inactive. The Mini-BESTest Total was the main independent predictor of falls (OR = 0.92; p < 0.001; 95% CI = 0.89, 0.95). For each one-unit increase in the Mini-BESTest, there was an average reduction of 8% in the probability of being a faller. A cut-off point of 21.5/28 (AUC = 0.669, sensitivity 70.7% and specificity 55.1%) was determined. Conclusion: Besides characterizing and comparing fallers and non-fallers, this study showed that the Mini-BESTest was the strongest individual predictor of falls in individuals with PD, highlighting the importance of evaluating dynamic balance ability during fall risk assessment.
Subject:	Fisioterapia Acidentes por quedas Fatores de risco Parkinson, Doença de
language:	eng
metadata.dc.publisher.country:	Brasil
Publisher:	Universidade Federal de Minas Gerais
Publisher Initials:	UFMG
metadata.dc.publisher.department:	EEF - DEPARTAMENTO DE FISIOTERAPIA
Rights:	Acesso Aberto
metadata.dc.identifier.doi:	https://doi.org/10.1016/j.bjpt.2019.07.006
URI:	http://hdl.handle.net/1843/42623
Issue Date:	Sep-2020
metadata.dc.url.externa:	https://www.sciencedirect.com/science/article/pii/S1413355518308098?via%3Dihub#!
metadata.dc.relation.ispartof:	Brazilian Journal of Physical Therapy
Appears in Collections:	Artigo de Periódico

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