Accelerating the development of novel methods to measure 24-hr physical behavior

项目总结/摘要 使用设备精确测量人类行为可以大大提高目前对人类行为的认识。 慢性疾病与行为之间的剂量反应关系，如体力活动，久坐， 行为和睡眠。本提案的主要目标是制定有效的方法来衡量24小时 物理行为，以及演示一个程序，通过该程序，这些方法可以与 他人我们的目标是帮助研究界汇聚使用设备准确地 测量身体活动类型和强度，久坐行为和姿势，以及成年人的睡眠。许多 已经提出了有希望的方法来测量来自活动监视器的行为。可惜这些 现在被大量提出的方法通常在少量数据上得到验证。 因此，它们在实验室数据上可能表现良好，但在大规模流行病学或临床试验的现场使用时失败。 干预研究。此外，不同方法的性能很少进行直接比较， 这给公共卫生研究人员带来了不确定性，他们不知道哪种药物是最好的。量化相对 产生类似结局指标但使用不同器械或体上器械的方法的性能 地点更是不同寻常。我们将使对体育活动感兴趣的研究人员 测量，以有意义地比较新方法之间的性能，并自信地应用这些 大规模监测研究和纵向干预的方法。该项目有四个具体 目的：（1）收集体力活动，久坐行为和睡眠的注释数据，（2）使用来自 目标1：开发和验证产生24小时自由生活体力活动估计值的方法（类型， 强度），久坐行为（类型，姿势）和睡眠（觉醒/睡眠，阶段），（3）发展和递增 完善一套工具，研究人员可以使用这些工具轻松部署先进的方法来测量物理 活动，久坐行为和睡眠，即使是大数据，（4）使用数据和新方法（目标1 和3）举办四场评估模型的比赛，所有其他研究人员提交的参赛作品将被 直接比较，排名和改进。其目标是帮助研究人员集中在“黄金标准”的方法 使用常见的监视器配置以及这些设备来稳健地测量身体活动， 配置可能很快就会使用。

Project Summary/Abstract Accurate measurement of human behavior using devices could significantly advance current knowledge on the dose-response relationships between chronic diseases and behaviors such as physical activity, sedentary behavior, and sleep. The primary objective of this proposal is to develop valid approaches to measure 24-hour physical behavior, as well as to demonstrate a procedure via which those approaches can be compared to others. We aim to help the research community to converge on methods that use devices to accurately measure physical activity type and intensity, sedentary behavior and posture, and sleep in adults. Many promising methods have been proposed to measure behavior from activity monitors. Unfortunately, these methods – which are now being proposed in large numbers – are typically validated on small amounts of data. Thus, they may perform well on lab data, but fail when used in the field on large-scale epidemiological or intervention studies. Moreover, the performance of different methods is rarely compared head-to-head, creating uncertainty for public health researchers about which are the best to use. Quantifying the relative performance of methods that produce similar outcome measures but use different devices or on-body device locations is even more unusual. We will make it easy for researchers interested in physical activity measurement to meaningfully compare performance between new methods and confidently apply those methods to both large-scale surveillance studies and longitudinal interventions. The project has four specific aims: (1) Collect well-annotated data of physical activity, sedentary behavior, and sleep, (2) Use the data from Aim 1 to develop and validate approaches that yield 24-hour estimates of free-living physical activity (type, intensity), sedentary behavior (type, posture), and sleep (wake/sleep, stages), (3) Develop and incrementally refine a suite of tools that researchers can use to easily deploy advanced approaches to measure physical activity, sedentary behavior, and sleep, even for large data, and (4) Use the data and new approaches (Aims 1 and 3) to host four competitions evaluating models, where all entries submitted by other researchers, will be directly compared, ranked, and improved. The goal is to help researchers converge on “gold standard” methods to robustly measure physical activity using common monitor configurations, as well as those devices and configurations likely to be used soon.