Tsang Charlotte S L, Miller Tiev, Pang Marco Y C
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong.
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong.
Gait Posture. 2022 Mar;93:113-118. doi: 10.1016/j.gaitpost.2022.01.019. Epub 2022 Jan 26.
Falling and fall-related injuries are common among community-dwelling individuals with chronic stroke. Falls often occur during dual-task walking scenarios. Accurate fall prediction is critical for formulating effective fall prevention strategies.
Can dual-task walking tests and corresponding single-task tests predict falls among individuals with chronic stroke? Are dual-task walking tests involving visuospatial cognition more effective in predicting falls than those involving other cognitive domains?
Ninety-three individuals with stroke (age: 62.4 ± 6.7 years; stroke duration: 5.6 ± 4.5 years) participated in this prospective cohort study. Two mobility tasks (level-ground walking and obstacle-crossing) were performed with and without two cognitive tasks (auditory clock test and auditory Stroop test). Demographic information and clinical measures of depression, motor function, walking speed and balance were collected. Monthly telephone interviews were conducted to collect data on fall incidence, related circumstances and injuries incurred during a 12-month follow-up period. Multivariate logistic regression analysis was performed to identify predictive factors associated with future risk of falls.
Thirty-six participants (39%) reported one or more falls during the follow-up period. The regression model including reaction time during the auditory clock task performance while negotiating obstacles correctly classified the fall status of 80% of the participants (72% future fallers and 84% non-fallers). Performance did not differ between fallers and non-fallers on any other measures tested.
Dual-task assessment combining an auditory clock task with an obstacle-crossing task has potential clinical utility for identifying future fall risk among people with chronic stroke.
跌倒及与跌倒相关的损伤在社区慢性卒中患者中很常见。跌倒常发生在执行双重任务的步行场景中。准确的跌倒预测对于制定有效的预防跌倒策略至关重要。
双重任务步行测试及相应的单任务测试能否预测慢性卒中患者的跌倒情况?涉及视觉空间认知的双重任务步行测试在预测跌倒方面是否比涉及其他认知领域的测试更有效?
93名卒中患者(年龄:62.4±6.7岁;卒中病程:5.6±4.5年)参与了这项前瞻性队列研究。在执行两项移动任务(平地行走和跨越障碍物)时分别伴有和不伴有两项认知任务(听觉时钟测试和听觉Stroop测试)。收集了人口统计学信息以及抑郁、运动功能、步行速度和平衡方面的临床指标。在12个月的随访期内,每月进行电话访谈以收集跌倒发生率、相关情况及所受损伤的数据。进行多因素逻辑回归分析以确定与未来跌倒风险相关的预测因素。
36名参与者(39%)在随访期间报告了一次或多次跌倒。包含在正确跨越障碍物时听觉时钟任务表现的反应时间的回归模型正确分类了80%参与者的跌倒状态(未来跌倒者中72%,未跌倒者中84%)。在测试的任何其他指标上,跌倒者和未跌倒者的表现没有差异。
将听觉时钟任务与跨越障碍物任务相结合的双重任务评估对于识别慢性卒中患者未来的跌倒风险具有潜在的临床应用价值。