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

加速开发测量 24 小时身体行为的新方法

• 批准号: 10035078
• 负责人: STEPHEN S INTILLE
• 金额: $ 65.69万
• 依托单位: NORTHEASTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-02 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10035078
• 关键词: Accelerometer; Adopted; Adult; Ankle; Behavior; Behavioral; Categories; Chronic Disease; Communities; Community Actions; Data; Development; Devices; Disease; Dose; Ecological momentary assessment; Ensure; Feedback; Goals; Gold; Head; Health; Health behavior; Hour; Human; Imagery; Intervention; Intervention Studies; Knowledge; Label; Light; Location; Logistics; Measurement; Measures; Methods; Modeling; Monitor; Motion; Movement; Outcome Measure; Participant; Performance; Physical activity; Polysomnography; Posture; Procedures; Protocols documentation; Public Health; Publishing; Research; Research Personnel; Sampling Studies; Science; Sleep; Sleep Stages; Techniques; Time; Uncertainty; Validation; Wrist; actigraphy; base; epidemiology study; fitness; improved; interest; novel; novel strategies; response; sedentary; sedentary lifestyle; surveillance study; tool; wearable device

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.

项目摘要/摘要 使用设备对人类行为进行准确的测量可以显着提高当前知识 慢性疾病和行为（例如体育锻炼，久坐）之间的剂量反应关系 行为和睡眠。该提案的主要目的是开发有效的方法来测量24小时 身体行为，以及可以将这些方法与这些方法进行比较的程序 其他的。我们旨在帮助研究社区融合使用设备准确的方法 测量体育活动类型和强度，久坐的行为和姿势，以及成人的睡眠。许多 已经提出了有希望的方法来衡量活动监测器的行为。不幸的是，这些 现在大量提出的方法通常在少量数据上进行验证。 那就可以在实验室数据上表现良好，但是在大规模流行病学或 干预研究。此外，不同方法的性能很少被比较 为最好使用的公共卫生研究人员创造不确定性。量化亲戚 产生类似结果指标但使用不同设备或体内设备的方法的性能 位置更加不寻常。我们将使对体育活动感兴趣的研究人员变得容易 测量有意义地比较新方法之间的性能并自信地应用这些性能 大规模监视研究和纵向干预的方法。该项目有四个特定的 目的：（1）收集体育锻炼，久坐行为和睡眠的井井有条数据，（2）使用来自 目标1以开发和验证方法，以产生24小时自由活动的体育锻炼的估计（类型， 强度），久坐行为（类型，姿势）和睡眠（唤醒/睡眠，阶段），（3） 完善研究人员可以用来轻松部署高级方法以测量物理的工具 活动，久坐的行为和睡眠，甚至对于大数据，（4）使用数据和新方法（目标1 3）主持四个评估模型的比赛，其他研究人员提交的所有条目将是 直接比较，排名和改进。目的是帮助研究人员汇总“黄金标准”方法 使用常见监视器配置以及这些设备和 配置可能很快就会使用。