Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions
Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions
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DOI：
10.1109/tcst.2018.2873538
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发表时间：
2018-11-12
期刊：
影响因子：
--
通讯作者：
Magann AB
中科院分区：
文献类型：
--
作者：
Martín CA;Rivera DE;Hekler EB;Riley WT;Buman MP;Adams MA;Magann AB
移动的健康（mHealth）技术有助于控制工程原理在理解和改善健康行为（如身体活动）方面的相关性日益增加。社会认知理论（SCT）是最有影响力的健康行为理论之一，已被用作戒烟，体重管理和其他健康相关结果的行为干预的概念基础。本文提出了一个面向控制的动力系统模型的SCT流体类比的基础上，可用于系统识别和控制设计问题的设计和分析的强烈自适应干预。在模型开发之后，提出了一系列模拟方案，说明了模型的基本工作原理。该模型的实用性证明了两个重要的实际问题的解决方案：1）从身体活动干预（MILES研究）中收集的数据的半物理模型估计和2）作为一种手段，用于辨别范围内的“雄心勃勃的，但可行的”每日步骤目标，在一个闭环行为干预，针对久坐不动的成年人。该模型是正在进行的实验验证工作的基础，并应鼓励更多的研究，在应用控制工程技术的社会和行为科学。
Mobile health (mHealth) technologies are contributing to the increasing relevance of control engineering principles in understanding and improving health behaviors, such as physical activity. Social Cognitive Theory (SCT), one of the most influential theories of health behavior, has been used as the conceptual basis for behavioral interventions for smoking cessation, weight management, and other health-related outcomes. This paper presents a control-oriented dynamical systems model of SCT based on fluid analogies that can be used in system identification and control design problems relevant to the design and analysis of intensively adaptive interventions. Following model development, a series of simulation scenarios illustrating the basic workings of the model are presented. The model’s usefulness is demonstrated in the solution of two important practical problems: 1) semiphysical model estimation from data gathered in a physical activity intervention (the MILES study) and 2) as a means for discerning the range of “ambitious but doable” daily step goals in a closed-loop behavioral intervention aimed at sedentary adults. The model is the basis for ongoing experimental validation efforts, and should encourage additional research in applying control engineering technologies to the social and behavioral sciences.
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DOI：
10.1109/tcst.2016.2580661
发表时间：
2017-05
期刊：
IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society
影响因子：
--
作者：
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通讯作者：
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影响因子：
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影响因子：
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通讯作者：
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影响因子：
0.6
作者：
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影响因子：
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