Literature DB >> 33436993

Gait parameters of Parkinson's disease compared with healthy controls: a systematic review and meta-analysis.

Ana Paula Janner Zanardi1,2, Edson Soares da Silva1, Rochelle Rocha Costa1, Elren Passos-Monteiro1,3, Ivan Oliveira Dos Santos1, Luiz Fernando Martins Kruel1, Leonardo Alexandre Peyré-Tartaruga4.   

Abstract

We systematically reviewed observational and clinical trials (baseline) studies examining differences in gait parameters between Parkinson's disease (PD) in on-medication state and healthy control. Four electronic databases were searched (November-2018 and updated in October-2020). Independent researchers identified studies that evaluated gait parameters measured quantitatively during self-selected walking speed. Risk of bias was assessed using an instrument proposed by Downs and Black (1998). Pooled effects were reported as standardized mean differences and 95% confidence intervals using a random-effects model. A total of 72 studies involving 3027 participants (1510 with PD and 1517 health control) met the inclusion criteria. The self-selected walking speed, stride length, swing time and hip excursion were reduced in people with PD compared with healthy control. Additionally, PD subjects presented higher cadence and double support time. Although with a smaller difference for treadmill, walking speed is reduced both on treadmill (.13 m s-1) and on overground (.17 m s-1) in PD. The self-select walking speed, stride length, cadence, double support, swing time and sagittal hip angle were altered in people with PD compared with healthy control. The precise determination of these modifications will be beneficial in determining which intervention elements are most critical in bringing about positive, clinically meaningful changes in individuals with PD (PROSPERO protocol CRD42018113042).

Entities:  

Year:  2021        PMID: 33436993      PMCID: PMC7804291          DOI: 10.1038/s41598-020-80768-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  101 in total

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Authors:  P Vieregge; H Stolze; C Klein; I Heberlein
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  19 in total

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10.  Predicting Axial Impairment in Parkinson's Disease through a Single Inertial Sensor.

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