Suppr超能文献

帕金森病患者步态速度和步态耐力的预测因素差异。

Differences in predictors for gait speed and gait endurance in Parkinson's disease.

机构信息

The University of Texas Southwestern Medical Center, 6011 Harry Hines Blvd, Dallas, TX, 75235, United States.

Texas Woman's University, School of Physical Therapy, 5500 Southwestern Medical Avenue, Dallas, TX, 75235, United States.

出版信息

Gait Posture. 2021 Jun;87:49-53. doi: 10.1016/j.gaitpost.2021.04.019. Epub 2021 Apr 20.

Abstract

INTRODUCTION

Both gait speed and gait endurance directly impact independence and community engagement for individuals with Parkinson's disease (PD). However, factors accounting for variability in gait speed and gait endurance performance are unclear. The purpose of this study was to investigate whether key factors associated with gait speed in individuals with PD also predicted gait endurance.

METHODS

Community dwelling ambulatory individuals with PD were recruited for a single session. Key measures included 10 Meter Walk Test (10MWT) and 6 Minute Walk Test (6MWT) and key factors: age, disease severity [Movement Disorders Society United Parkinson's Disease Rating Scale (motor scale only) (MDS-UPDRS motor)], plantar flexor strength [Calf Raise Senior (CRS)], fatigue [Fatigue Severity Scale (FSS)], cognition [Montreal Cognitive Assessment (MoCA)], and balance [Four Square Step Test (FSST)]. Multiple linear regression analyses were conducted to determine clinical relationships.

RESULTS

Seventy-two individuals with PD (mean (standard deviation) (age = 70.83 (7.91) years; 50 males; MDS-UPDRS motor = 30.67 (13.50)) completed all assessments. The model predicting gait speed was significant, F(6, 65) = 15.143, p <.001, accounting for 54 % of the variance. Of the predictor variables age, MDS-UPDRS motor, CRS, MoCA and FSST scores were significant predictors. The model predicting gait endurance was significant, F(6, 65) = 15.608, p <.001, accounting for 55 % of the variance. Of the predictor variables, age, MDS-UPDRS motor scale, and CRS scores were significant predictors.

DISCUSSION

Gait speed and gait endurance are similarly influenced by age, motor impairment, and plantarflexion strength. However, cognition and balance were predictors only of gait speed, which may suggest unique task differences exist between gait speed and gait endurance.

摘要

简介

步速和步态耐力直接影响帕金森病(PD)患者的独立性和社区参与度。然而,导致步速和步态耐力表现变化的因素尚不清楚。本研究的目的是探讨与 PD 患者步速相关的关键因素是否也能预测步态耐力。

方法

招募了居住在社区的有行走能力的 PD 患者参加单次会议。主要测量包括 10 米步行测试(10MWT)和 6 分钟步行测试(6MWT),以及关键因素:年龄、疾病严重程度[运动障碍协会统一帕金森病评定量表(仅运动部分)(MDS-UPDRS 运动)]、跖屈肌力量[小腿抬高高级版(CRS)]、疲劳[疲劳严重程度量表(FSS)]、认知[蒙特利尔认知评估(MoCA)]和平衡[四方步测试(FSST)]。进行了多元线性回归分析以确定临床关系。

结果

72 名 PD 患者(平均(标准差)(年龄=70.83(7.91)岁;50 名男性;MDS-UPDRS 运动=30.67(13.50))完成了所有评估。预测步速的模型具有统计学意义,F(6,65)=15.143,p<.001,解释了 54%的方差。在预测变量中,年龄、MDS-UPDRS 运动、CRS、MoCA 和 FSS 评分是显著的预测因素。预测步态耐力的模型具有统计学意义,F(6,65)=15.608,p<.001,解释了 55%的方差。在预测变量中,年龄、MDS-UPDRS 运动量表和 CRS 评分是显著的预测因素。

讨论

步速和步态耐力同样受到年龄、运动障碍和跖屈肌力量的影响。然而,认知和平衡只是步速的预测因素,这可能表明步速和步态耐力之间存在独特的任务差异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验