Background

The identification of the predictors of locomotion ability could help professionals select variables to be considered during clinical evaluations and interventions.

Objective

To investigate which impairment measures would best predict locomotion ability in people with chronic stroke.

Methods

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.

Results

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).

Conclusions

Walking speed and lower limb strength best predicted locomotion ability as perceived by individuals who have suffered a stroke.

中文翻译：

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通过ABILOCO问卷评估，步行速度可以最好地说明步行者患有中风的感知运动能力。

背景

预测运动能力的预测因素可以帮助专业人员选择在临床评估和干预过程中要考虑的变量。

目的

调查哪种损伤措施最能预测慢性卒中患者的运动能力。

方法

 评估了患有中风的个体（n = 115）。预测指标是参与者的特征（即年龄，性别和中风后的时间），运动障碍（即肌肉紧张，力量和运动协调）和活动限制（即步行速度）的特征。感兴趣的结果是ABILOCO分数，这是一种针对运动能力评估的自我报告问卷，专门针对中风患者设计。

结果

卒中后的年龄，性别和时间与ABILOCO得分没有显着相关性（-0.07 <  ρ  <0.05； 0.48 <  p  <0.99）。运动障碍和步行速度的测量与ABILOCO得分显着相关（-0.25 <  r  <0.57; p  <0.001），但是在回归模型中仅保留步行速度和力量。仅步行速度就能解释 自我报告的运动能力差异的35％（F  = 55.5; p <0.001）。当模型中包括强度时，解释的方差增加到37％（F  = 31.4；p  <0.001）。

结论

步行速度和下肢力量最能预测中风的人的运动能力。