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整合复杂系统方法以推进肥胖预防干预研究。

Integrating Complex Systems Methods to Advance Obesity Prevention Intervention Research.

机构信息

Tufts University, Boston, MA, USA.

The Brookings Institution, Washington, DC, USA.

出版信息

Health Educ Behav. 2020 Apr;47(2):213-223. doi: 10.1177/1090198119898649. Epub 2020 Feb 24.

Abstract

. Whole-of-community interventions have been recommended and show promise for preventing obesity; however, research to understand the mechanisms underlying their success or failure is lacking. Complex systems approaches may be useful to address this gap. . To describe the evolution and utilization of qualitative and quantitative complex systems methods to understand and model whole-of-community obesity prevention interventions. . We illustrate the retrospective qualitative development of a systems map representing community change dynamic within the Shape Up Somerville (SUS) intervention. We then describe how this systems map, and complementary work of other successful obesity prevention interventions (Romp & Chomp intervention), informed the COMPACT (childhood obesity modeling for prevention and community transformation) study. COMPACT's design aligns complex systems science principles and community-engaged research to better understand stakeholders' leadership roles in whole-of-community interventions. We provide an overview of the complex systems tools used in COMPACT: agent-based modeling, group model building, and social network analysis and describe how whole-of-community intervention stakeholders ("agents") use their social networks to diffuse knowledge about and engagement with childhood obesity prevention efforts, laying the groundwork for community readiness for sustainable change. . Complex systems approaches appear feasible and useful to study whole-of-community obesity prevention interventions and provide novel insights that expand on those gained from traditional approaches. Use of multiple methods, both qualitative and quantitative, from the complex systems toolkit working together can be important to success.

摘要

. 全社区干预措施已被推荐用于预防肥胖,并且显示出了一定的效果;然而,缺乏研究来了解其成功或失败的根本机制。复杂系统方法可能有助于解决这一差距。. 描述定性和定量复杂系统方法的演变和利用,以了解和模拟全社区肥胖预防干预措施。. 我们举例说明了系统图的回顾性定性发展,该系统图代表了 Somerville 健身计划(SUS)干预措施中的社区变化动态。然后,我们描述了该系统图以及其他成功的肥胖预防干预措施(Romp & Chomp 干预措施)的补充工作如何为 COMPACT(儿童肥胖建模以预防和社区转型)研究提供信息。COMPACT 的设计符合复杂系统科学原则和社区参与式研究,以更好地了解利益相关者在全社区干预措施中的领导作用。我们提供了 COMPACT 中使用的复杂系统工具的概述:基于代理的建模、群体建模和社会网络分析,并描述了全社区干预措施利益相关者(“代理”)如何利用他们的社交网络传播有关儿童肥胖预防工作的知识并参与其中,为社区为可持续变革做好准备奠定了基础。. 复杂系统方法似乎可行且有助于研究全社区肥胖预防干预措施,并提供了从传统方法中获得的新颖见解。从复杂系统工具包中使用多种定性和定量方法一起工作可能对成功很重要。

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