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首页> 外文期刊>Gait & posture >Executive dysfunction and attention contribute to gait interference in 'off' state Parkinson's Disease.
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Executive dysfunction and attention contribute to gait interference in 'off' state Parkinson's Disease.

机译:执行功能障碍和注意力导致步态干扰“关闭”状态的帕金森氏病。

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摘要

Motor and cognitive processes are required for successful 'real world' walking. We explored the specific contribution of motor function, executive function, and attention to functional gait performance in people with Parkinson's Disease (PD) when 'off' medication. Twenty-nine people with PD wearing an accelerometer were tested in their home whilst walking under four task conditions. Explanatory characteristics included age, motor function, executive function, sustained attention and divided attention. Repeated measures ANOVA compared gait speed under different task conditions. Multiple regression analysis explored the effect of characteristics on gait speed and gait interference (difference between dual and single task). Gait performance deteriorated under complex conditions (F=51.0, P<.001). Motor function and attention explained up to 65% variance in gait speed. Motor function, attention and executive function explained up to 66% variance in gait interference. Sustained attention explained up to 10% variance in gait speed; executive function explained up to 21% variance in gait interference and divided attention explained up to 22% variance in gait interference. Motor function, executive function and attention contribute to gait speed and gait interference in PD during a functional walking task whilst 'off' medication. When both executive function and attention are included as explanatory variables, attention discriminates gait performance more effectively. Whilst both contribute to functional gait, they are used selectively to optimise performance for different conditions and to meet complex task requirements.
机译:成功的“真实世界”行走需要运动和认知过程。我们探讨了“停药”后帕金森病(PD)患者运动功能,执行功能以及对功能步态表现的关注的具体贡献。在四个任务条件下行走时,有29名佩戴了加速度计的PD患者在家里接受了测试。解释性特征包括年龄,运动功能,执行功能,持续注意力和分散注意力。重复测量方差分析比较了不同任务条件下的步态速度。多元回归分析探讨了特征对步态速度和步态干扰(双任务和单任务之间的差异)的影响。在复杂条件下(F = 51.0,P <.001),步态性能下降。运动功能和注意力可以解释步态速度变化高达65%。运动功能,注意力和执行功能可解释步态干扰差异高达66%。持续的注意力可以解释步态速度变化高达10%;执行功能解释了步态干扰的最大差异为21%,注意力分散解释了步态干扰的最大差异为22%。运动功能,执行功能和注意力有助于在功能性步行任务期间“停药”期间PD的步态速度和步态干扰。当执行功能和注意力都包括在解释变量中时,注意力可以更有效地区分步态表现。两者都有助于功能步态,但它们有选择地用于优化不同条件下的性能并满足复杂的任务要求。

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