从足迹到预测:降落风险识别和朝圣者移动性分类的巴罗波多米学
Hanan A Demyati1, Abdulelah M Radhwan1, Yasir A Alrubaiani1
1Rehabilitation Department, Prince Sultan Armed Forces Hospital, Madinah Al-Munawwarah 42317, Saudi Arabia.
Journal of clinical medicine
|March 14, 2026
概括
定时起飞和起飞 (TUG) 查有效地识别朝圣者的跌倒风险. 将TUG与步态分析相结合,为像哈吉这样的大规模集会提供了可操作的移动指导.
科学领域:
- 老年学是一门学科.
- 生物力学 生物力学
- 公共卫生 公共卫生
背景情况:
- 哈吉是一个大型的年度聚会,由于步行,炎热和人群,它带来了流动性挑战.
- 老年人和患有慢性疾病的人在朝期间面临更高的跌倒风险.
- 快速流动性查对于识别有风险的个人和规划干预措施至关重要.
研究的目的:
- 评估基于步行和脚部压力数据的定时上升和移动 (TUG) 层分是否可以区分跌倒风险类别.
- 在朝前的环境中支持运营流动性分类工作流程.
- 评估TUG性能与特定步行参数之间的关联.
主要方法:
- 在接受查的朝圣者中进行了一项横截面研究.
- 参与者进行了定时启动和启动 (TUG) 测试和动态巴罗踏步计步态评估.
- 根据TUG时间,跌倒风险被分为低,中等和高.
主要成果:
- 在所有跌倒风险群体中,TUG的业绩显著增加.
- 在两组之间的节奏,半步长度和步行速度之间发现了显著的差异.
- TUG时间与步行速度负相关,与举重时间正相关.
结论:
- 综合功能移动和时空步态查有效地区分掉落风险.
- 这种方法为大规模聚会环境中的移动性支持提供了临床可行的指导.
- 这些发现支持了朝圣前的临床工作流程,用于评估和管理朝圣者的流动性.
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