步态变化预测了高功能中风幸存者在现实生活中的跌倒
Prakruti Patel1, Anjali Tiwari1, Neha Lodha1
1Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA.
Clinical biomechanics (Bristol, Avon)
|November 28, 2024
概括
步行变化,特别是步伐长度变化,是中风后高功能成年人落的关键预测因素. 这种措施比传统的平衡测试更有效,用于确定这一群体的跌倒风险.
科学领域:
- 神经学 神经学
- 生物力学 生物力学
- 康复科学 康复科学 康复科学
背景情况:
- 超过60%的中风成年人每年都会跌倒.
- 具有轻度运动障碍的高功能个体面临着最大的跌倒风险.
- 目前的跌倒预测指标对于这个人群来说是不够的.
研究的目的:
- 为了确定高功能成人中风中跌倒的敏感预测因素.
- 为了比较步态变化的预测能力与传统的平衡和摔倒的移动性测试.
- 为了确定步态变化的相对贡献,预测现实生活中的跌倒.
主要方法:
- 24名中风独立步行者进行了地面行走,计时和走,以及伯格平衡尺度.
- 步行速度,步伐长度变化和步伐时间变化被量化.
- 记录了过去一年中跌倒的历史.
主要成果:
- 脚步长度变化和伯格平衡量得分与以前的跌倒有关.
- 多变量分析显示,脚步长度的变化是过去跌倒的重要预测因素 (OR=2.73,p=0.03).
- 步伐长度可变度切线为3.98%,表明预测跌倒的灵敏度为75%,特异性为91.7% (AUC=0.83).
结论:
- 在地面行走期间的步伐长度变化强烈预测了高功能成人中风的过去跌倒.
- 在这个群体中,步行变化是一个比传统的平衡和移动性测试更敏感的跌倒风险预测因素.
- 这些发现强调了步态变化的重要性,以准确评估中风后的跌倒风险.
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