Abstract：
Gait and cognition are closely associated in Parkinson\'s disease (PD), with specific cognitive domains being associated with different motor symptoms. By identifying gait parameters affected by cognition, clinicians can develop targeted interventions that address cognitive impairment, improve gait, and reduce the risk of injury in PD patients.
What gait parameters are affected by cognition in PD patients during dual-task walking, and how are these parameters related to cognitive function as measured by the Montreal Cognitive Assessment (MoCA)?
36 patients with available gait data and cognitive assessments were enrolled. Gait data of usual and dual-task walking sessions were recorded using lightweight wireless wearable sensors attached to trunk, lower, and upper extremities. Dual-task costs were calculated from usual and dual-task measures. Statistical analysis included non-parametric tests, Wilcoxon signed-rank test, Spearman\'s correlation, and stepwise linear regression models.
Walking speed, cadence, asymmetry in arm swing (ASA), between arms\' amplitude symmetry (BAS), average stride time, and jerk of the acceleration movement of the legs were found to be affected during the dual-task walking session (P<0.05). Spearman\'s correlation showed significant correlations between MoCA scores and ASA (ρ=-0.469, P=0.036) and BAS (ρ=-0.448, P=0.036) costs. Stepwise linear regression models found that MoCA scores were significant predictors of BAS and ASA costs (P<0.05).
This study found a significant association between global cognitive ability and several gait parameters costs under cognitive load caused by dual-task walking in PD patients. The study identified the gait parameters that were affected by cognitive load and found that MoCA scores were significant predictors of those gait parameters. Identifying gait parameters affected by cognition can lead to more targeted interventions for improving gait and reducing injury risk in PD patients.
What gait parameters are affected by cognition in PD patients during dual-task walking, and how are these parameters related to cognitive function as measured by the Montreal Cognitive Assessment (MoCA)?
36 patients with available gait data and cognitive assessments were enrolled. Gait data of usual and dual-task walking sessions were recorded using lightweight wireless wearable sensors attached to trunk, lower, and upper extremities. Dual-task costs were calculated from usual and dual-task measures. Statistical analysis included non-parametric tests, Wilcoxon signed-rank test, Spearman\'s correlation, and stepwise linear regression models.
Walking speed, cadence, asymmetry in arm swing (ASA), between arms\' amplitude symmetry (BAS), average stride time, and jerk of the acceleration movement of the legs were found to be affected during the dual-task walking session (P<0.05). Spearman\'s correlation showed significant correlations between MoCA scores and ASA (ρ=-0.469, P=0.036) and BAS (ρ=-0.448, P=0.036) costs. Stepwise linear regression models found that MoCA scores were significant predictors of BAS and ASA costs (P<0.05).
This study found a significant association between global cognitive ability and several gait parameters costs under cognitive load caused by dual-task walking in PD patients. The study identified the gait parameters that were affected by cognitive load and found that MoCA scores were significant predictors of those gait parameters. Identifying gait parameters affected by cognition can lead to more targeted interventions for improving gait and reducing injury risk in PD patients.
摘要：
背景：步态和认知在帕金森病（PD）中密切相关，特定的认知领域与不同的运动症状相关。通过识别受认知影响的步态参数，临床医生可以制定有针对性的干预措施来解决认知障碍，改善步态,并降低PD患者受伤的风险。
目的：在双任务步行过程中，PD患者的哪些步态参数受认知影响，蒙特利尔认知评估量表(MoCA)测量的这些参数与认知功能的相关性如何?
方法：纳入36例具有可用步态数据和认知评估的患者。使用连接到躯干的轻型无线可穿戴传感器记录常规和双任务步行会话的步态数据，较低,和上肢。双重任务成本是根据通常和双重任务措施计算的。统计分析包括非参数检验，Wilcoxon符号秩检验,斯皮尔曼的相关性，和逐步线性回归模型。
结果：步行速度，节奏,摆臂不对称(ASA)，臂之间振幅对称(BAS)，平均跨步时间,在双任务步行过程中，发现腿部的加速度运动受到影响（P<0.05）。Spearman相关性显示MoCA评分与ASA(ρ=-0.469,P=0.036)和BAS(ρ=-0.448,P=0.036)成本之间存在显著相关性。逐步线性回归模型发现MoCA评分是BAS和ASA费用的显著预测因子(P<0.05)。
结论：这项研究发现，在PD患者的双任务步行引起的认知负荷下，整体认知能力与几个步态参数成本之间存在显着关联。该研究确定了受认知负荷影响的步态参数，并发现MoCA评分是这些步态参数的重要预测因子。识别受认知影响的步态参数可以导致更有针对性的干预措施，以改善PD患者的步态并降低损伤风险。
目的：在双任务步行过程中，PD患者的哪些步态参数受认知影响，蒙特利尔认知评估量表(MoCA)测量的这些参数与认知功能的相关性如何?
方法：纳入36例具有可用步态数据和认知评估的患者。使用连接到躯干的轻型无线可穿戴传感器记录常规和双任务步行会话的步态数据，较低,和上肢。双重任务成本是根据通常和双重任务措施计算的。统计分析包括非参数检验，Wilcoxon符号秩检验,斯皮尔曼的相关性，和逐步线性回归模型。
结果：步行速度，节奏,摆臂不对称(ASA)，臂之间振幅对称(BAS)，平均跨步时间,在双任务步行过程中，发现腿部的加速度运动受到影响（P<0.05）。Spearman相关性显示MoCA评分与ASA(ρ=-0.469,P=0.036)和BAS(ρ=-0.448,P=0.036)成本之间存在显著相关性。逐步线性回归模型发现MoCA评分是BAS和ASA费用的显著预测因子(P<0.05)。
结论：这项研究发现，在PD患者的双任务步行引起的认知负荷下，整体认知能力与几个步态参数成本之间存在显着关联。该研究确定了受认知负荷影响的步态参数，并发现MoCA评分是这些步态参数的重要预测因子。识别受认知影响的步态参数可以导致更有针对性的干预措施，以改善PD患者的步态并降低损伤风险。
