作为世界布指南算法的一部分,对平衡和移动性测试的前性评估
Stephanie Saunders1, Mark Speechley2, Lauren E Griffith3,4
1School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton ON, Canada.
Age and ageing
|February 16, 2026
概括
共同平衡和移动性测试对预测老年人跌倒的能力有限. 将这些测试集成到世界布指南算法中并没有改善落风险评估.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 生物医学工程 生物医学工程
背景情况:
- 跌倒是老年人受伤的主要原因.
- 目前的指导方针建议在评估落风险时进行平衡和移动性测试.
- 这些测试的预测准确性及其对风险分层的影响尚不清楚.
研究的目的:
- 为了评估共同平衡和流动性测试对社区居住的老年人未来跌倒的预测有效性.
- 确定将这些测试纳入世界布指南 (WFG) 算法是否可以改善落风险分层.
主要方法:
- 一项为期12个月的前性队列研究,涉及514名居住在社区的老年人 (≥65岁).
- 评估平衡和移动性使用定时启动和移动 (TUG) 测试,简短的BEST测试,五次坐立,单腿姿势 (SLS) 和步行速度.
- 使用月度日历和季度访谈来预期记录下来的下降.
主要成果:
- 52%的参与者在12个月的随访期间至少有一次跌倒.
- 预测跌倒的曲线下的面积 (AUC) 值在0.561 (SLS) 到0.70 (伤害性跌倒的步行速度) 之间.
- 将移动性测试添加到WFG算法中增加了低风险个体的比例,从41%降至56%.
结论:
- 标准的平衡和移动性测试表明,对老年人未来跌倒的预测能力有限.
- 将这些测试集成到WFG算法中并没有提高跌倒风险分层的准确性.
- 需要进一步的研究来开发更有效的跌倒风险评估工具.
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