Center for Economic and Social Research, Department of Psychology, University of Southern California, Los Angeles, CA 90089, USA.
Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Int J Environ Res Public Health. 2022 Feb 17;19(4):2267. doi: 10.3390/ijerph19042267.
Recent advances in mobile and wearable technologies have led to new forms of interventions, called "Just-in-Time Adaptive Interventions" (JITAI). JITAIs interact with the individual at the most appropriate time and provide the most appropriate support depending on the continuously acquired Intensive Longitudinal Data (ILD) on participant physiology, behavior, and contexts. These advances raise an important question: How do we model these data to better understand and intervene on health behaviors? The HeartSteps II study, described here, is a Micro-Randomized Trial (MRT) intended to advance both intervention development and theory-building enabled by the new generation of mobile and wearable technology. : The study involves a year-long deployment of HeartSteps, a JITAI for physical activity and sedentary behavior, with 96 sedentary, overweight, but otherwise healthy adults. The central purpose is twofold: (1) to support the development of modeling approaches for operationalizing dynamic, mathematically rigorous theories of health behavior; and (2) to serve as a testbed for the development of learning algorithms that JITAIs can use to individualize intervention provision in real time at multiple timescales. : We outline an innovative modeling paradigm to model and use ILD in real- or near-time to individually tailor JITIAs.
最近，移动和可穿戴技术的进步带来了新形式的干预措施，称为“即时自适应干预”（JITAI）。JITAIs 会在最合适的时间与个体互动，并根据参与者生理、行为和环境的连续获取的密集纵向数据（ILD），提供最合适的支持。这些进步提出了一个重要问题：我们如何对这些数据进行建模，以更好地理解和干预健康行为？这里描述的 HeartSteps II 研究是一项微随机试验（MRT），旨在通过新一代移动和可穿戴技术推进干预措施的开发和理论构建。该研究涉及 HeartSteps 的为期一年的部署，HeartSteps 是一种针对身体活动和久坐行为的 JITAI，涉及 96 名久坐、超重但健康的成年人。其主要目的有两个：（1）支持用于操作健康行为的动态、数学严密理论的建模方法的发展；（2）作为学习算法的测试平台，这些算法可以用于 JITAIs 在多个时间尺度上实时进行个性化干预。我们概述了一种创新的建模范例，用于实时或接近实时地对 ILD 进行建模和使用，以个性化定制 JITIAs。
