Dual-Task vs. Single-Task Gait Training to Improve Spatiotemporal Gait Parameters in People with Parkinson's Disease: A Systematic Review and Meta-Analysis.

Parkinson’s disease gait analysis meta-analysis physical therapy modalities

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
20 May 2024
Historique:
received: 12 04 2024
revised: 14 05 2024
accepted: 16 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 25 5 2024
Statut: epublish

Résumé

People with Parkinson's disease (pwPD) present alterations of spatiotemporal gait parameters that impact walking ability. While preliminary studies suggested that dual-task gait training improves spatiotemporal gait parameters, it remains unclear whether dual-task gait training specifically improves dual-task gait performance compared to single-task gait training. The aim of this review is to assess the effect of dual-task training relative to single-task gait training on specific gait parameters during dual-task tests in pwPD. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs), searching three electronic databases. Two reviewers independently selected RCTs, extracted data, and applied the Cochrane risk-of-bias tool for randomized trials (Version 2) and the GRADE framework for assessing the certainty of evidence. The primary outcomes were dual-task gait speed, stride length, and cadence. Secondary outcomes included dual-task costs on gait speed, balance confidence, and quality of life. We included 14 RCTs (548 patients). Meta-analyses showed effects favoring dual-task training over single-task training in improving dual-task gait speed (standardized mean difference [SMD] = 0.48, 95% confidence interval [CI] = 0.20-0.77; 11 studies; low certainty evidence), stride length (mean difference [MD] = 0.09 m, 95% CI = 0.04-0.14; 4 studies; very low certainty evidence), and cadence (MD = 5.45 steps/min, 95% CI = 3.59-7.31; 5 studies; very low certainty evidence). We also found a significant effect of dual-task training over single-task training on dual-task cost and quality of life, but not on balance confidence. Our findings support the use of dual-task training relative to single-task training to improve dual-task spatiotemporal gait parameters in pwPD. Further studies are encouraged to better define the features of dual-task training and the clinical characteristics of pwPD to identify better responders.

Sections du résumé

BACKGROUND BACKGROUND
People with Parkinson's disease (pwPD) present alterations of spatiotemporal gait parameters that impact walking ability. While preliminary studies suggested that dual-task gait training improves spatiotemporal gait parameters, it remains unclear whether dual-task gait training specifically improves dual-task gait performance compared to single-task gait training. The aim of this review is to assess the effect of dual-task training relative to single-task gait training on specific gait parameters during dual-task tests in pwPD.
METHODS METHODS
We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs), searching three electronic databases. Two reviewers independently selected RCTs, extracted data, and applied the Cochrane risk-of-bias tool for randomized trials (Version 2) and the GRADE framework for assessing the certainty of evidence. The primary outcomes were dual-task gait speed, stride length, and cadence. Secondary outcomes included dual-task costs on gait speed, balance confidence, and quality of life.
RESULTS RESULTS
We included 14 RCTs (548 patients). Meta-analyses showed effects favoring dual-task training over single-task training in improving dual-task gait speed (standardized mean difference [SMD] = 0.48, 95% confidence interval [CI] = 0.20-0.77; 11 studies; low certainty evidence), stride length (mean difference [MD] = 0.09 m, 95% CI = 0.04-0.14; 4 studies; very low certainty evidence), and cadence (MD = 5.45 steps/min, 95% CI = 3.59-7.31; 5 studies; very low certainty evidence). We also found a significant effect of dual-task training over single-task training on dual-task cost and quality of life, but not on balance confidence.
CONCLUSIONS CONCLUSIONS
Our findings support the use of dual-task training relative to single-task training to improve dual-task spatiotemporal gait parameters in pwPD. Further studies are encouraged to better define the features of dual-task training and the clinical characteristics of pwPD to identify better responders.

Identifiants

pubmed: 38790495
pii: brainsci14050517
doi: 10.3390/brainsci14050517
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : Italian Ministry of Health
ID : GR-2021-12374005
Organisme : Italian Ministry of Health
ID : GR-2021-12374005

Auteurs

Elisabetta Sarasso (E)

Vita-Salute San Raffaele University, 20132 Milan, Italy.
Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, University of Genoa, 16132 Genoa, Italy.

Marco Pietro Parente (MP)

Vita-Salute San Raffaele University, 20132 Milan, Italy.

Federica Agosta (F)

Vita-Salute San Raffaele University, 20132 Milan, Italy.
Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.

Massimo Filippi (M)

Vita-Salute San Raffaele University, 20132 Milan, Italy.
Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Neurophysiology Service, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.

Davide Corbetta (D)

Department of Rehabilitation and Functional Recovery, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.

Classifications MeSH