在社区环境中果手表和动态步数之间的协议:来自弗雷明汉心脏研究的横截面调查
Nicole L Spartano1,2, Yuankai Zhang3, Chunyu Liu3
1Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States.
JMIR biomedical engineering
|July 24, 2024
概括
在社区环境中,Actical和Apple Watch表现出较差的整体步数计数协议,尽管它们更好地识别了满足活动值的个人. 新的设备可能会为步骤跟踪提供更高的精度.
科学领域:
- 可穿戴技术是可穿戴的技术.
- 监测身体活动的监控.
- 生物医学工程 生物医学工程
背景情况:
- 在实验室环境中,研究级和消费级加速度计之间的步数计数精度不同.
- 现实世界的社区环境为设备协议带来了独特的挑战.
研究的目的:
- 在社区环境中比较Actical (研究级) 和Apple Watch (消费级) 设备之间的步数计数协议.
- 评估每小时间隔的设备一致性,以考虑磨损时间的差异.
主要方法:
- 利用了3486名Framingham心脏研究参与者的数据,他们都戴着Actical和Apple Watch设备.
- 分析了使用类内相关性 (ICC),连续协议指标和阶段值的kappa系数的协议.
- 对同时佩戴设备的每小时数据进行二次分析.
主要成果:
- 每天在设备之间观察到适度的相关性 (ICC=0.56) 和不良的连续一致性 (29.7%).
- 动态设备平均每天记录了499个更多的步骤,一致性极限很大 (±9000步).
- 对于确定参与者达到步骤值 (例如,8000步/天,kappa=0.49) 发现了更强的共识.
- 每小时的分析显示了更高的相关性 (ICC=0.86),但持续的不良连续一致性 (27.3%).
结论:
- 在社区设置中,Actical和Apple Watch之间的总体步数计数协议很差.
- 设备在与身体活动指南相对的个人分类方面显示出更好的一致性.
- 未来的加速度计代可能会克服当前设备的局限性,以提高精度.
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