从系统视角理解成功的 5 岁以下儿童肥胖预防计划。
Understanding a successful obesity prevention initiative in children under 5 from a systems perspective.
机构信息
Deakin University, Global Obesity Centre (GLOBE), Centre for Population Health Research, School of Health and Social Development, Faculty of Health, Geelong, Victoria Australia.
North Carolina State University, Department of Agriculture and Human Sciences, NC Cooperative Extension, Raleigh, NC United States of America.
出版信息
PLoS One. 2018 Mar 29;13(3):e0195141. doi: 10.1371/journal.pone.0195141. eCollection 2018.
INTRODUCTION/BACKGROUND: Systems thinking represents an innovative and logical approach to understanding complexity in community-based obesity prevention interventions. We report on an approach to apply systems thinking to understand the complexity of a successful obesity prevention intervention in early childhood (children aged up to 5 years) conducted in a regional city in Victoria, Australia.
METHODS
A causal loop diagram (CLD) was developed to represent system elements related to a successful childhood obesity prevention intervention in early childhood. Key stakeholder interviews (n = 16) were examined retrospectively to generate purposive text data, create microstructures, and form a CLD.
RESULTS
A CLD representing key stakeholder perceptions of a successful intervention comprised six key feedback loops explaining changes in project implementation over time. The loops described the dynamics of collaboration, network formation, community awareness, human resources, project clarity, and innovation.
CONCLUSION
The CLD developed provides a replicable means to capture, evaluate and disseminate a description of the dynamic elements of a successful obesity prevention intervention in early childhood.
简介/背景:系统思维是一种创新且符合逻辑的方法,可以帮助理解基于社区的肥胖预防干预措施中的复杂性。我们报告了一种应用系统思维的方法,以了解澳大利亚维多利亚州一个地区城市成功的儿童肥胖预防干预措施的复杂性,该干预措施针对的是 5 岁以下的儿童。
方法
为了表示与成功的儿童肥胖预防干预措施相关的系统要素,我们开发了一个因果关系图(CLD)。对关键利益相关者访谈(n = 16)进行回顾性检查,以生成有针对性的文本数据、创建微观结构并形成 CLD。
结果
一个代表成功干预措施的关键利益相关者观点的 CLD 包括六个关键反馈循环,解释了项目实施随时间的变化。这些循环描述了协作、网络形成、社区意识、人力资源、项目清晰度和创新的动态。
结论
所开发的 CLD 提供了一种可复制的方法,可以捕捉、评估和传播对成功的儿童肥胖预防干预措施中的动态要素的描述。
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