Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA; Department of Medicine, Division of Geriatrics and Gerontology, Emory University School of Medicine, Atlanta, GA, USA.
Department of Engineering Science & Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
Gait Posture. 2024 Sep;113:32-39. doi: 10.1016/j.gaitpost.2024.05.028. Epub 2024 Jun 3.
Older adults have difficulty maintaining side-to-side balance while navigating daily environments. Losing balance in such circumstances can lead to falls. We need to better understand how older adults adapt lateral balance to navigate environment-imposed task constraints.
How do older adults adjust mediolateral balance while walking along continually-narrowing paths, and what are the stability implications of these adjustments?
Eighteen older (71.6±6.0 years) and twenty younger (21.7±2.6 years) healthy adults traversed 25 m-long paths that gradually narrowed from 45 cm to 5 cm. Participants switched onto an adjacent path when they chose. We quantified participants' lateral center-of-mass dynamics and lateral Margins of Stability (MoS) as paths narrowed. We quantified lateral Probability of Instability (PoI) as the probability that participants would take a laterally unstable (MoS<0) step as they walked. We also extracted these outcomes where participants switched paths.
As paths narrowed, all participants exhibited progressively smaller average MoS and increasingly larger PoI. However, their MoS variability was largest at both the narrowest and widest path sections. Older adults exhibited consistently both larger average and more variable MoS across path widths. Taken into account together, these resulted in either comparable or somewhat larger PoI as paths narrowed. Older adults left the narrowing paths sooner, on average, than younger. As they did so, older adults exhibited significantly larger average and more variable MoS, but somewhat smaller PoI than younger.
Our results directly challenge the predominant interpretation that larger average MoS indicate "greater stability", which we argue is inconsistent with the principles underlying its derivation. In contrast, analyzing step-to-step gait dynamics, together with estimating PoI allows one to properly quantify instability risk. Furthermore, the adaptive strategies uncovered using these methods suggest potential targets for future interventions to reduce falls in older adults.
老年人在日常环境中难以保持左右平衡。在这种情况下失去平衡可能导致跌倒。我们需要更好地了解老年人如何适应侧向平衡来适应环境强加的任务约束。
老年人在沿着不断变窄的路径行走时如何调整横向平衡,以及这些调整对稳定性有何影响?
18 名老年人(71.6±6.0 岁)和 20 名年轻人(21.7±2.6 岁)健康成年人穿过 25 米长的路径,这些路径逐渐从 45 厘米变窄到 5 厘米。参与者在选择时切换到相邻的路径上。当路径变窄时,我们量化了参与者的横向质心动力学和横向稳定性边界(MoS)。我们将侧向概率不稳定(PoI)量化为参与者在行走时采取侧向不稳定(MoS<0)步骤的概率。我们还提取了参与者切换路径时的这些结果。
随着路径变窄,所有参与者的平均 MoS 逐渐减小,PoI 逐渐增大。然而,他们的 MoS 变异性在最窄和最宽的路径部分最大。老年人在整个路径宽度上表现出一致的较大平均 MoS 和更可变的 MoS。综合考虑,这导致 PoI 在路径变窄时要么相当,要么稍大。老年人比年轻人更早离开变窄的路径。当他们这样做时,老年人表现出明显更大的平均和更可变的 MoS,但稍小的 PoI 比年轻人。
我们的结果直接挑战了主导解释,即较大的平均 MoS 表示“更大的稳定性”,我们认为这与它的推导原则不一致。相比之下,分析一步一步的步态动力学,同时估计 PoI,可以正确量化不稳定风险。此外,使用这些方法发现的适应策略表明,未来干预措施可能有潜力降低老年人跌倒的风险。