Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong.
School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong.
J Physiother. 2022 Jan;68(1):26-36. doi: 10.1016/j.jphys.2021.12.009. Epub 2021 Dec 23.
What are the degree and pattern of dual-task interference during walking in people after stroke? How do these vary with disease chronicity and different component tasks in people after stroke? How does dual-task interference differ between people after stroke and people without stroke?
Systematic review with meta-analysis of studies reporting gait-related dual-task interference.
People after stroke and people without stroke.
Measures of walking and secondary (cognitive or manual) task performance under dual-task conditions relative to those under single-task conditions.
Seventy-six studies (2,425 people after stroke and 492 people without stroke) were included. Manual and mental tracking tasks imposed the greatest dual-task interference on gait speed, although there was substantial uncertainty in these estimates. Among mental tracking tasks, the apparently least-complex task (serial 1 subtractions) induced the greatest dual-task interference (-0.17 m/s, 95% CI -0.24 to -0.10) on gait speed, although there was substantial uncertainty in these estimates. Mutual interference (decrement in both walking and secondary component task performances during dual-tasking) was the most common dual-task interference pattern. The results of the sensitivity analyses for studies involving people with chronic stroke were similar to the results of the primary analyses. The amount of dual-task interference from a mental tracking or manual task during walking was similar between people with or without stroke.
The degree and pattern of dual-task interference vary with the choice of component tasks. When evaluating limitations to functional mobility during dual-tasking conditions and in planning interventions accordingly, clinicians should select dual-task assessments that correspond to the daily habits and physical demands of people after stroke.
CRD42017059004.
脑卒中后患者在行走时的双重任务干扰的程度和模式是什么？这些在疾病慢性期和不同的组成任务中如何变化？脑卒中后患者与无脑卒中患者的双重任务干扰有何不同？
系统综述和荟萃分析，对报告与步态相关的双重任务干扰的研究进行分析。
脑卒中后患者和无脑卒中患者。
双重任务条件下与单一任务条件下的步行和次要（认知或手动）任务表现的测量值。
共纳入 76 项研究（2425 例脑卒中后患者和 492 例无脑卒中患者）。手动和精神追踪任务对步行速度的双重任务干扰最大，尽管这些估计存在很大的不确定性。在精神追踪任务中，显然最简单的任务（连续减法）对步行速度的双重任务干扰最大（-0.17 米/秒，95%CI -0.24 至 -0.10），尽管这些估计存在很大的不确定性。相互干扰（双重任务时步行和次要组成任务表现都下降）是最常见的双重任务干扰模式。针对涉及慢性脑卒中患者的研究的敏感性分析结果与主要分析结果相似。在行走时，精神追踪或手动任务引起的双重任务干扰量在有或没有脑卒中的患者之间相似。
双重任务干扰的程度和模式随组成任务的选择而变化。在评估双重任务条件下对功能性移动能力的限制并相应地规划干预措施时，临床医生应选择与脑卒中后患者的日常习惯和身体需求相对应的双重任务评估。
CRD42017059004。
