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视觉反馈对老年糖尿病患者足部着地调整准确性的即时影响:一项横断面研究。

Immediate effects of visual feedback on the accuracy of foot landing adjustments in older people with diabetes mellitus: A cross-sectional study.

作者信息

Martin Suzanne, Taylor Simon B, Pejhan Shabnam, Shideler Blynne L, Ogrin Rajna, Begg Rezaul

机构信息

Institute of Health and Sport, Victoria University, Melbourne, Victoria, Australia.

Department of Automotive and Mechatronics Engineering, Ontario Tech University, Oshawa, Ontario, Canada.

出版信息

PLoS One. 2025 May 21;20(5):e0323569. doi: 10.1371/journal.pone.0323569. eCollection 2025.

Abstract

Diabetes Mellitus in older adults reduces the accuracy of foot landing adjustments and increases the risk of falling. This study investigated whether targeted visual feedback enhances the accuracy of the foot landing in older participants with diabetes. Forty-eight volunteers in three groups of young, healthy older and older adults with diabetes participated. During treadmill walking, Nexus Vicon software streamed real-time orientation data of two markers on the first toes into MATLAB scripts through a Visual3D server. The system visualised real-meaningful step length or minimum toe clearance (MTC) in each step on a monitor in front of a treadmill at eye level. Participants responded to four subject-specific step-length (±10% mean baseline step length) or MTC targets (3.5 and 5.5 cm higher than the mean baseline MTC). One target was displayed every 10 steps and removed after 10 steps when participants walked without seeing any target, then a new or the same target appeared and stayed on for another 10 steps. Tasks were increasing or decreasing baseline step length or increasing the baseline MTC in response to virtual targets. The accuracy (absolute error) of each step adjustment in each 10-step block with a target was calculated. The mean accuracy of Step 1 and the mean accuracy of Steps 2-10 were measured and compared within and between groups using three-way ANOVA tests. Errors significantly differed between conditions (Step 1 and Steps 2-10) in all groups. All groups showed reduced errors in Step 1 during Steps 2-10. Among groups, the group with diabetes presented the greatest errors in Step 1 and Steps 2-10. These findings suggest that meaningful visual feedback about spatial gait parameters (step length, MTC) can improve foot-landing accuracy in older participants with diabetes, highlighting its potential as a training tool to prevent falls in this high-risk population.

摘要

老年人糖尿病会降低足部着地调整的准确性,并增加跌倒风险。本研究调查了针对性视觉反馈是否能提高老年糖尿病患者足部着地的准确性。三组志愿者参与了研究,分别是年轻组、健康老年组和老年糖尿病组,每组16人。在跑步机行走过程中,Nexus Vicon软件通过Visual3D服务器将第一跖趾关节上两个标记的实时方向数据传输到MATLAB脚本中。该系统在跑步机前方与眼睛水平的监视器上可视化每一步的实际有效步长或最小趾间隙(MTC)。参与者对四个特定于个体的步长(±10%平均基线步长)或MTC目标(比平均基线MTC高3.5和5.5厘米)做出反应。每10步显示一个目标,当参与者在没有看到任何目标的情况下行走10步后目标移除,然后出现一个新的或相同的目标并持续显示10步。任务是根据虚拟目标增加或减少基线步长或增加基线MTC。计算每个有目标的10步块中每一步调整的准确性(绝对误差)。使用三因素方差分析测试测量并比较第1步的平均准确性以及第2 - 10步的平均准确性,组内和组间进行比较。所有组在不同条件下(第1步和第2 - 10步)的误差均有显著差异。所有组在第2 - 10步期间第1步的误差均减小。在各组中,糖尿病组在第1步和第2 - 10步的误差最大。这些发现表明,关于空间步态参数(步长、MTC)的有意义视觉反馈可以提高老年糖尿病患者足部着地的准确性,突出了其作为预防该高危人群跌倒训练工具的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754f/12094761/e96e69befd19/pone.0323569.g001.jpg

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