Literature DB >> 23127307

Cueing and gait improvement among people with Parkinson's disease: a meta-analysis.

Sandi J Spaulding1, Brittany Barber, Morgan Colby, Bronwyn Cormack, Tanya Mick, Mary E Jenkins.   

Abstract

OBJECTIVE: To compare the relative efficacy of visual versus auditory cueing on gait among individuals with Parkinson's disease (PD). DATA SOURCES: A systematic search was completed up to September 2011, using the following databases: EMBASE, Scopus, Medline, CINAHL, and PubMed. STUDY SELECTION: Four authors searched the databases using the following terms: Parkinson's disease (including abbreviations), gait, cadence, step, pace, cueing, cues, and prompt. All studies that evaluated the effect of cueing on gait in PD were selected by consensus of 2 pairs of authors who reviewed the titles and abstracts. Each pair of authors then applied the inclusion and exclusion criteria to each study, and 25 articles were chosen. Inclusion criteria were cueing studies that reported pre- and postoutcome measures of gait parameters. Exclusion criteria were lack of data and studies that evaluated gait aids. DATA EXTRACTION: Gait measures of cadence, stride length, and velocity, before and after cueing, were collected from each study. If data were represented in graphs, a pair of authors extracted the data points individually, then compared and averaged values. DATA SYNTHESIS: The data were synthesized using a meta-analysis based on cue type. Auditory cueing demonstrated significant improvement of cadence (Hedge g=.556; 95% confidence interval [CI], .291-.893), stride length (Hedge g=.497; 95% CI, .289-.696), and velocity (Hedge g=.544; 95% CI, .294-.795). In contrast, visual cueing significantly improved stride length only (Hedge g=.554; 95% CI, .072-1.036).
CONCLUSIONS: The findings suggest that auditory cueing is more effective for treating gait disorders in PD. Further research is needed to determine the optimum auditory cueing strategy for gait improvements.
Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23127307     DOI: 10.1016/j.apmr.2012.10.026

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  68 in total

1.  Locomotor sequence learning in visually guided walking.

Authors:  Julia T Choi; Peter Jensen; Jens Bo Nielsen
Journal:  J Neurophysiol       Date:  2016-02-10       Impact factor: 2.714

2.  Non-motor predictors of freezing of gait in Parkinson's disease.

Authors:  Sarah J Banks; Ece Bayram; Guogen Shan; Denise R LaBelle; Brent Bluett
Journal:  Gait Posture       Date:  2018-12-06       Impact factor: 2.840

3.  Synchronization dynamics modulates stride-to-stride fluctuations when walking to an invariant but not to a fractal-like stimulus.

Authors:  João R Vaz; Boman R Groff; Douglas A Rowen; Brian A Knarr; Nicholas Stergiou
Journal:  Neurosci Lett       Date:  2019-03-25       Impact factor: 3.046

4.  Global Functional Network Connectivity Disturbances in Parkinson's Disease with Mild Cognitive Impairment by Resting-State Functional MRI.

Authors:  Xin-Xin Shuai; Xiang-Chuang Kong; Yan Zou; Si-Qi Wang; Yu-Hui Wang
Journal:  Curr Med Sci       Date:  2021-01-11

5.  Interventions to Improve Walking in Older Adults.

Authors:  Jennifer S Brach; Jessie M Vanswearingen
Journal:  Curr Transl Geriatr Exp Gerontol Rep       Date:  2013-12

6.  Uncovering beat deafness: detecting rhythm disorders with synchronized finger tapping and perceptual timing tasks.

Authors:  Simone Dalla Bella; Jakub Sowiński
Journal:  J Vis Exp       Date:  2015-03-16       Impact factor: 1.355

7.  External input for gait in people with Parkinson's disease with and without freezing of gait: One size does not fit all.

Authors:  Pieter Ginis; Elke Heremans; Alberto Ferrari; Esther M J Bekkers; Colleen G Canning; Alice Nieuwboer
Journal:  J Neurol       Date:  2017-06-26       Impact factor: 4.849

Review 8.  [Nonpharmacological treatment procedures for Parkinson's disease].

Authors:  K Witt; E Kalbe; R Erasmi; G Ebersbach
Journal:  Nervenarzt       Date:  2017-04       Impact factor: 1.214

9.  Usability of a daily mHealth application designed to address mobility, speech and dexterity in Parkinson's disease.

Authors:  Adam P Horin; Marie E McNeely; Elinor C Harrison; Peter S Myers; Ellen N Sutter; Kerri S Rawson; Gammon M Earhart
Journal:  Neurodegener Dis Manag       Date:  2019-04-18

10.  Veering in hemi-Parkinson's disease: Primacy of visual over motor contributions.

Authors:  Xiaolin Ren; Robert Salazar; Sandy Neargarder; Serge Roy; Terry D Ellis; Elliot Saltzman; Alice Cronin-Golomb
Journal:  Vision Res       Date:  2015-09-12       Impact factor: 1.886

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