VanNostrand Michael, Sogoloff Barbara, Giroux Carley, Bergmans Lance, Kasser Susan L
Department of Rehabilitation and Movement Science, University of Vermont, Burlington, United States of America.
Department of Rehabilitation and Movement Science, University of Vermont, Burlington, United States of America.
Mult Scler Relat Disord. 2022 Dec;68:104115. doi: 10.1016/j.msard.2022.104115. Epub 2022 Aug 14.
Mobility challenges and cognitive impairments prominent in adults with multiple sclerosis (MS) significantly increase the risk of falling. Examining perceptions of how the simultaneous performance of completing motor and cognitive tasks impacts fall risk may have clinical utility. The purpose of this study was to identify the most significant self-reported predictors of falling including perceived dual-tasking.
Participants included 79 individuals with MS were surveyed and reported their fall history over the previous 3 months and completed the Multiple Sclerosis Walking Scale -12 (MSWS-12), Modified Fatigue Impact Scale (MFIS), Falls Efficacy Scale International (FES-I), and two Dual-Task Questionnaires (DTQ), a previously published original one and a newly expanded version.
Of the sample, 63 were classified as non-fallers and 16 as fallers. Backward stepwise regression analysis revealed that perceived ambulation disability and dual-tasking best predicted fall status (sensitivity of 57.7%, specificity of 90.6%, area under the receiving operating curve of 0.81 (95% CI 0.70-0.92).
The inclusion of self-reported dual-tasking perceptions has utility in predicting fall risk. Effective assessment toward this end offers the potential for early detection and intervention.
多发性硬化症(MS)成人患者中常见的行动不便和认知障碍会显著增加跌倒风险。研究完成运动和认知任务的同时执行情况如何影响跌倒风险的认知可能具有临床应用价值。本研究的目的是确定自我报告的最重要的跌倒预测因素,包括感知到的双重任务执行情况。
79名MS患者参与了调查,报告了他们过去3个月的跌倒史,并完成了多发性硬化症步行量表-12(MSWS-12)、改良疲劳影响量表(MFIS)、国际跌倒效能量表(FES-I)以及两份双重任务问卷(DTQ),一份是先前发表的原始问卷,另一份是新扩展版本。
样本中,63人被归类为未跌倒者,16人被归类为跌倒者。向后逐步回归分析显示,感知到的步行残疾和双重任务执行情况最能预测跌倒状态(敏感性为57.7%,特异性为90.6%,接受操作曲线下面积为0.81(95%CI 0.70-0.92))。
纳入自我报告的双重任务执行感知情况有助于预测跌倒风险。为此进行的有效评估为早期检测和干预提供了可能性。