在自由生活条件下对中度至强度边界的评估,使用加速度计
Pablo Rozier-Delgado1,2, Hervé Di Domenico2, Baptiste Morel2
1Laboratoire d'Ecologie Alpine, UMR UGA-USMB-CNRS 5553, Université Savoie Mont Blanc, Le Bourget-du-Lac, France.
Journal of sports sciences
|October 9, 2025
概括
新的研究引入了一种个性化的方法来使用加速度计测量中度至强度的体力活动 (MVPA). 这种方法准确地评估了个人的身体能力,改善了活动强度的标准绝对截止值.
科学领域:
- 运动生理学 运动生理学
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
背景情况:
- 目前评估中度至强度体力活动 (MVPA) 的方法依赖于绝对加速度计截止值,不考虑体力能力的个体差异.
- 这种限制导致了对日常体力活动强度及其生理意义的不准确描述.
研究的目的:
- 开发和验证一种新的方法,用加速度计来估计个体的体力活动强度极限,而不需要实验室的疲劳测试.
- 为了比较这种新方法的准确性与 MVPA 分类的传统绝对切断值.
主要方法:
- 35名不同健身水平的参与者在3-6周内佩戴3轴加速度计,在日常活动中收集动态身体加速 (DBA) 数据.
- 参与者还在倾斜的跑步机上进行了次最大增量步行测试,以确定4 mmol·L -1 (S 4 <0xE2> <0x80> <0x93> mM) 的速度.
- 一个两参数的临界强度模型被安装到DBA记录中,使用定量回归来计算临界DBA (DBA C).
主要成果:
- 个人临界DBA (DBA C) 强烈预测了4 mmol·L -1 (S 4 <0xE2> <0x80> <0x93> mM) 的速度,其R 2值为0.788.8.
- 与新的以个人为基础的方法相比,传统的绝对MVPA截止值显示了显著的平均绝对误差:10:37分钟/天 (118%) 强烈活动和12:07分钟/天 (26%) 适度活动.
- 从日常活动中获得的DBA C实际上代表了个人严重强度域的边界.
结论:
- 使用个人关键DBA (DBA C) 的拟议方法提供了基于日常生活数据的身体活动强度域的准确评估.
- 这种方法通过提供更具生理相关性和个性化的活动强度度度量来增强当前的MVPA分类.
- 这些发现表明,个性化强度评估对于准确理解和评估身体活动水平及其对健康的影响至关重要.
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