Wang Shuaijie, Bhatt Tanvi
Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL 60612, USA.
Biomechanics (Basel). 2022 Sep;2(3):453-465. doi: 10.3390/biomechanics2030035. Epub 2022 Sep 2.
Stroke survivors are at a relatively higher risk of falling than their healthy counterparts. To identify the key gait characteristics affecting fall risk in this population, this study analyzed the gait kinematics and gait asymmetries for 36 community-dwelling people with chronic stroke (PwCS). According to their fall history in the last 12 months, they were divided into a fall group ( = 21) and non-fall group ( = 15), and then the gait kinematics (step length, stride length, stance time, swing time, trunk angle, and segment angles for lower limbs) and their asymmetries (symmetry ratio and symmetry index) were compared between these two groups. To investigate the relationship between fall types and gait characteristics, these variables were also compared between 11 slip-fallers and non-fallers, as well as between 7 trip-fallers and non-fallers. Our results indicated that the fallers showed smaller trunk and thigh angle, larger shank angle, and higher gait asymmetries (trunk and foot). Such changes in gait pattern could also be found in the trip-fallers, except the trunk angle. Additionally, the trip-fallers also showed a shorter step length, shorter stride length, shorter swing time, larger foot angle on the paretic side, and higher asymmetries in shank angle and step length, while the slip-fallers only showed changes in trunk angle and thigh angle and higher asymmetries in step length and foot angle compared to the non-fall group. Our results indicated that improper or pathological gait patterns (i.e., smaller thigh angle or higher foot asymmetry) increases the risk of falling in PwCS, and different fall types are associated with different gait characteristics. Our findings would be helpful for the development of fall risk assessment methods that are based on kinematic gait measurements. Implementation of objective fall risk assessments in PwCS has the potential to reduce fall-related injuries, leading to a reduction in associated hospital costs.
与健康同龄人相比,中风幸存者跌倒的风险相对较高。为了确定影响该人群跌倒风险的关键步态特征,本研究分析了36名社区居住的慢性中风患者(PwCS)的步态运动学和步态不对称性。根据他们在过去12个月中的跌倒史,将他们分为跌倒组(n = 21)和非跌倒组(n = 15),然后比较两组之间的步态运动学(步长、步幅、站立时间、摆动时间、躯干角度和下肢节段角度)及其不对称性(对称比和对称指数)。为了研究跌倒类型与步态特征之间的关系,还比较了11名滑倒跌倒者与非跌倒者之间以及7名绊倒跌倒者与非跌倒者之间的这些变量。我们的结果表明,跌倒者的躯干和大腿角度较小,小腿角度较大,步态不对称性(躯干和足部)较高。在绊倒跌倒者中也可以发现这种步态模式的变化,但躯干角度除外。此外,绊倒跌倒者还表现出步长较短、步幅较短、摆动时间较短、患侧足部角度较大,以及小腿角度和步长的不对称性较高,而与非跌倒组相比,滑倒跌倒者仅表现出躯干角度和大腿角度的变化以及步长和足部角度的不对称性较高。我们的结果表明,不当或病理性步态模式(即大腿角度较小或足部不对称性较高)会增加PwCS患者跌倒的风险,并且不同的跌倒类型与不同的步态特征相关。我们的研究结果将有助于开发基于运动学步态测量的跌倒风险评估方法。在PwCS患者中实施客观的跌倒风险评估有可能减少与跌倒相关的伤害,从而降低相关的医院成本。