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在不同体重状况个体中使用基于心率的消费者可穿戴设备身体活动估计值时的注意事项。

Considerations in using heart rate-based physical activity estimates from consumer wearables in individuals with varying weight status.

作者信息

Brown Denver M Y, Wing David, Pfledderer Christopher D, Stoepker Peter, Fairclough Stuart J, Carlson Jordan A

机构信息

Department of Kinesiology, Kansas State University, Manhattan, KS, USA.

Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.

出版信息

Int J Behav Nutr Phys Act. 2025 Jul 28;22(1):106. doi: 10.1186/s12966-025-01801-z.

Abstract

Although moderate-to-vigorous physical activity (MVPA) is a widely used construct in physical activity (PA) research, the lack of standardized assessment methods- particularly with the growing use of consumer-grade wearable activity trackers- poses challenges for comparability. Consumer-grade devices tend to rely on heart rate (HR)-based estimation methods to classify PA intensity, which contrasts with traditional research-grade accelerometers that use count- or raw-acceleration metrics. Comparability issues are particularly salient across individuals with varying weight status. In this commentary, we discuss systematic discrepancies between HR-based (relative intensity) and acceleration-based (absolute intensity) classifications of MVPA among individuals with differing weight statuses. Using Fitbit data from the Adolescent Brain Cognitive Development Study, we illustrate how HR-based PA intensity classification may indicate higher MVPA in youth with greater adiposity despite lower step counts and light PA levels. We highlight implications for research design, public health surveillance, messaging, policy, and interventions. We also call for greater transparency, standardized methodologies, and integrative measurement approaches to ensure more accurate assessment of PA behavior.

摘要

尽管中等到剧烈身体活动(MVPA)是身体活动(PA)研究中广泛使用的概念,但缺乏标准化评估方法——尤其是随着消费级可穿戴活动追踪器的使用日益增加——给可比性带来了挑战。消费级设备倾向于依靠基于心率(HR)的估计方法来对PA强度进行分类,这与使用计数或原始加速度指标的传统研究级加速度计形成对比。可比性问题在体重状况不同的个体之间尤为突出。在这篇评论中,我们讨论了不同体重状况个体中基于HR(相对强度)和基于加速度(绝对强度)的MVPA分类之间的系统差异。利用青少年大脑认知发展研究中的Fitbit数据,我们说明了基于HR的PA强度分类如何可能表明,尽管步数较少且轻度PA水平较低,但肥胖程度较高的青少年中MVPA水平较高。我们强调了对研究设计、公共卫生监测、信息传递、政策和干预措施的影响。我们还呼吁提高透明度、采用标准化方法和综合测量方法,以确保更准确地评估PA行为。

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