跨越障碍物时的步态特征与中风患者的跌倒风险之间的关联:一个前性队列研究
Xianglin Wan1, Zihao Zhu2, Feng Xu3
1School of Sport Science, Beijing Sport University, Beijing 100084, China; Key Laboratory for Performance Training & Recovery of General Administration of Sport of China, Beijing 100084, China.
Gait & posture
|April 3, 2025
概括
在跨越障碍物时分析步态可以预测中风患者的跌倒. 关键指标包括尾端脚清除和脚时刻,为跌倒风险评估提供宝贵的临床见解.
科学领域:
- 生物力学 生物力学
- 神经学 神经学
- 康复医学 康复医学 康复医学
背景情况:
- 卒中幸存者经常在日常活动中遇到跌倒,例如越过障碍物.
- 在具有挑战性的场景中,步态分析对于识别跌倒风险至关重要.
研究的目的:
- 研究中风患者跨越障碍物时步态特征对未来跌倒风险的预测能力.
- 为了确定特定的步态参数,可以作为跌倒的预测器.
主要方法:
- 38名患有单侧半的中风患者在穿越低障碍物时使用运动捕捉和强力板进行了监测.
- 计算了行走的时空参数,关节角度和时刻.
- 12个月的随访评估了跌倒事件,进行了统计分析,包括二进制后勤回归来确定预测因素.
主要成果:
- 在随访期间,13名参与者至少一次摔倒.
- 在双重支过程中,尾肢脚距离和脚脚屈动的峰值时刻是跌倒的显著预测因素 (P < 0.05).
- 结合这些因素的回归模型实现了85.2%的预测准确度.
结论:
- 跨越障碍物时的步态分析是预测中风患者跌倒风险的宝贵临床工具.
- 特定的步态参数为评估跌倒风险和干预计划提供了客观的措施.
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