Simulation models of obesity: a review of the literature and implications for research and policy.
Simulation models of obesity: a review of the literature and implications for research and policy.
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DOI：
10.1111/j.1467-789x.2010.00804.x
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发表时间：
2011-05
期刊：
影响因子：
--
通讯作者：
Swinburn B
中科院分区：
文献类型：
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作者：
Levy DT;Mabry PL;Wang YC;Gortmaker S;Huang TT;Marsh T;Moodie M;Swinburn B
模拟模型（SM）结合了来自各种来源的联合收割机信息，为研究肥胖的影响如何随着时间的推移而展开并影响人群健康提供了有用的工具。SM可以帮助理解饮食和活动驱动因素之间的复杂相互作用及其与健康结果的关系。正如医学研究所最近发布的一份报告所强调的那样，SM对于考虑解决肥胖问题所需的一系列政策的潜在影响特别有用。本文的目的是概述现有的SM肥胖。首先，背景部分介绍了不同类型的模型，解释了模型是如何构建的，显示了SM的效用，并讨论了它们的优点和缺点。使用这些类型学，我们然后简要回顾现存的肥胖SM。我们将这些模型根据其重点进行分类：健康和经济结果，肥胖趋势作为过去趋势的函数，基于生理的行为模型，肥胖的环境因素和政策干预。最后，我们提出了未来研究的方向。
Simulation models (SMs) combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. SMs can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. As emphasized in a recently released report of the Institute or Medicine, SMs can be especially useful for considering the potential impact of an array of policies that will be required to tackle the obesity problem. The purpose of this paper is to present an overview of existing SMs for obesity. First, a background section introduces the different types of models, explains how models are constructed, shows the utility of SMs, and discusses their strengths and weaknesses. Using these typologies, we then briefly review extant obesity SMs. We categorize these models according to their focus: health and economic outcomes, trends in obesity as a function of past trends, physiologically-based behavioral models, environmental contributors to obesity, and policy interventions. Finally, we suggest directions for future research.