Movement strategies during obstacle crossing in people with Parkinson disease: A systematic review with meta‐analysis.

Autor: Caparrós‐Manosalva, Cristian, Espinoza, Jessica, Caballero, Paula M., da Cunha, Maira J., Yang, Feng, Galen, Sujay, Pagnussat, Aline S.
Předmět:
Zdroj: PM & R: Journal of Injury, Function & Rehabilitation; Oct2024, Vol. 16 Issue 10, p1114-1127, 14p
Abstrakt: Objective: Navigating obstacles involves adjusting walking patterns, particularly when stepping over them. This task may be particularly challenging for people with Parkinson disease (PD) for several reasons. This review aims to compare the spatiotemporal gait parameters of people with and without PD while stepping over obstacles. Literature Survey: A systematic literature search was conducted in six databases (PubMed, Scopus, Web of Science, EBSCO, Embase, and SciELO) from inception to September 2023. Methodology: Studies were selected that evaluated gait parameters of people with and without PD while walking over obstacles. Two independent researchers evaluated the eligibility and extracted gait parameters during obstacle crossing. The risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Heterogeneity was assessed using I2‐tests. Random effects models were determined for effect sizes as standardized mean differences (SMD). Synthesis: Twenty‐five studies were included in the review and 17 in the meta‐analysis. Most of the studies (58%) showed a low risk of bias. People with PD exhibit a shorter step when landing after crossing an obstacle (SMD = −0.50 [−0.69 to −0.31]). Compared to people without PD, people with PD also widen their support base (SMD = 0.27 [0.07–0.47]) and reduce gait velocity (SMD = −0.60 [−0.80 to −0.39]) when crossing the obstacle. Conclusions: People with PD adopt a more conservative motor behavior during obstacle crossing than those without PD, with a shorter step length when landing after crossing an obstacle, greater step width and lower crossing speed. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index