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用于优化移动健康行为干预的社会认知理论的面向控制模型的开发。

Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.

作者信息

Martín César A, Rivera Daniel E, Hekler Eric B, Riley William T, Buman Matthew P, Adams Marc A, Magann Alicia B

机构信息

ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ingeniería en Electricidad y Computacion, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador.

Control Systems Engineering Laboratory (CSEL), School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.

出版信息

IEEE Trans Control Syst Technol. 2020 Mar;28(2):331-346. doi: 10.1109/tcst.2018.2873538. Epub 2018 Nov 12.

DOI:10.1109/tcst.2018.2873538
PMID:33746479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7977327/
Abstract

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 . 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.

摘要

移动健康（mHealth）技术正促使控制工程原理在理解和改善健康行为（如身体活动）方面发挥越来越重要的作用。社会认知理论（SCT）是最具影响力的健康行为理论之一，已被用作戒烟、体重管理及其他健康相关结果行为干预的概念基础。本文基于流体类比提出了一种面向控制的SCT动态系统模型，该模型可用于与设计和分析相关的系统识别和控制设计问题。在模型开发之后，给出了一系列说明模型基本运行情况的模拟场景。该模型在解决两个重要实际问题中展现了其有用性：1）根据身体活动干预（MILES研究）收集的数据进行半物理模型估计；2）作为一种手段，在针对久坐不动成年人的闭环行为干预中辨别“雄心勃勃但可行”的每日步数目标范围。该模型是正在进行的实验验证工作的基础，应会鼓励在将控制工程技术应用于社会和行为科学方面开展更多研究。

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