NeuroGroup, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.
NeuroGroup, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil; Center of Health Sciences, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Braz J Phys Ther. 2019 Sep-Oct;23(5):412-418. doi: 10.1016/j.bjpt.2018.12.005. Epub 2018 Dec 24.
The identification of the predictors of locomotion ability could help professionals select variables to be considered during clinical evaluations and interventions.
To investigate which impairment measures would best predict locomotion ability in people with chronic stroke.
Individuals (n=115) with a chronic stroke were assessed. Predictors were characteristics of the participants (i.e. age, sex, and time since stroke), motor impairments (i.e. muscle tonus, strength, and motor coordination), and activity limitation (i.e. walking speed). The outcome of interest was the ABILOCO scores, a self-reported questionnaire for the assessment of locomotion ability, designed specifically for individuals who have suffered a stroke.
Age, sex, and time since stroke did not significantly correlate with the ABILOCO scores (-0.07<ρ<0.05; 0.48<p<0.99). Measures of motor impairments and walking speed were significantly correlated with the ABILOCO scores (-0.25<r<0.57; p<0.001), but only walking speed and strength were kept in the regression model. Walking speed alone explained 35% (F=55.5; p<0.001) of the variance in self-reported locomotion ability. When strength was included in the model, the explained variance increased to 37% (F=31.4; p<0.001).
Walking speed and lower limb strength best predicted locomotion ability as perceived by individuals who have suffered a stroke.
确定运动能力的预测因素有助于专业人员在临床评估和干预中选择要考虑的变量。
探讨哪些损伤测量指标最能预测慢性脑卒中患者的运动能力。
对 115 名慢性脑卒中患者进行评估。预测指标包括参与者的特征(即年龄、性别和卒中后时间)、运动障碍(即肌肉张力、力量和运动协调)和活动受限(即行走速度)。感兴趣的结果是 ABILOCO 评分,这是一种专门用于评估卒中后个体运动能力的自我报告问卷。
年龄、性别和卒中后时间与 ABILOCO 评分无显著相关性(-0.07<ρ<0.05;0.48<p<0.99)。运动障碍和行走速度的测量值与 ABILOCO 评分显著相关(-0.25<r<0.57;p<0.001),但只有行走速度和力量被保留在回归模型中。行走速度单独解释了自我报告的运动能力变异性的 35%(F=55.5;p<0.001)。当将力量纳入模型时,解释的变异性增加到 37%(F=31.4;p<0.001)。
行走速度和下肢力量是预测卒中后个体运动能力的最佳指标。