走向老龄化:来自InCHIANTI研究的现实世界移动模式和数字基准
Jose Albites-Sanabria1, Pierpaolo Palumbo2, Stefania Bandinelli3
1Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy. jose.albitessanabri2@unibo.it.
npj aging
|July 4, 2025
概括
数字移动性结果 (DMOs) 揭示了老龄化如何影响行走. 这项研究为老年人建立了参考值,突出了性别和年龄差异的移动性下降,以获得更好的干预措施.
科学领域:
- 老年学是一门学科.
- 生物医学工程 生物医学工程
- 公共卫生 公共卫生
背景情况:
- 移动性对于老年人的健康和生活质量至关重要.
- 从真实世界的行走数据中获得的数字移动性结果 (DMOs) 提供了对功能状态和早期移动性下降的见解.
- 了解DMO的规范价值和人口影响对于临床应用至关重要.
研究的目的:
- 确定社区居住的老年人行走活动,步伐,节奏和步态变化的参考值.
- 评估年龄,性别,身高和体重对这些数字移动结果的影响.
- 在移动指标中识别与年龄相关的非线性趋势.
主要方法:
- 利用了来自InCHIANTI研究的200名老年人 (65-94岁) 的数据.
- 应用了Mobise-D计算管道来分析一周的现实世界行走数据.
- 进行统计分析以评估年龄,性别,身高和体重对移动性参数的影响.
主要成果:
- 在两性之间以及各年龄组之间观察到行走活动和步态参数的显著差异.
- 在较年轻的年龄组 (65-74岁和75-84岁) 中,男性表现出更高的步行活动,但在最年长的年龄组 (85-94岁) 中没有.
- 在移动性指标中确定了与年龄相关的非线性趋势,表明特定年龄段的加速下降.
结论:
- 现实世界的行走数据和DMO为评估老年人移动性提供了有价值的基准.
- 监测DMO可以帮助确定流动性下降的关键时期,从而实现有针对性的干预.
- 这项研究支持在临床实践中使用DMO,并支持未来的研究,以了解和管理与年龄相关的移动性变化.
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