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使用定性系统制图和因果关系图理解食物环境、饮食和肥胖:范围综述方案。

Use of qualitative systems mapping and causal loop diagrams to understand food environments, diet and obesity: a scoping review protocol.

机构信息

Urban Health Collaborative, Drexel University, Philadelphia, Pennsylvania, USA

UniSA Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia.

出版信息

BMJ Open. 2023 Mar 17;13(3):e066875. doi: 10.1136/bmjopen-2022-066875.

Abstract

INTRODUCTION

Food systems can shape dietary behaviour and obesity outcomes in complex ways. Qualitative systems mapping using causal loop diagrams (CLDs) can depict how people understand the complex dynamics, inter-relationships and feedback characteristic of food systems in ways that can support policy planning and action. To date, there has been no attempt to review this literature. The objectives of this review are to scope the extent and nature of studies using qualitative systems mapping to facilitate the development of CLDs by stakeholders to understand food environments, including settings and populations represented, key findings and the methodological processes employed. It also seeks to identify gaps in knowledge and implications for policy and practice.

METHODS AND ANALYSIS

This protocol describes a scoping review guided by the Joanna Briggs Institute manual, the framework by Khalil and colleagues and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist reporting guidelines. A search strategy was iteratively developed with two academic librarians and the research team. This strategy will be used to search six databases, including Ovid MEDLINE, Embase, EmCare, Web of Science, Scopus and ProQuest Central. Identified citations will be screened by two independent reviewers; first, by title and abstract, and then full-text articles to identify papers eligible for inclusion. The reference lists of included studies and relevant systematic reviews will be searched to identify other papers eligible for inclusion. Two reviewers will extract information from all included studies and summarise the findings descriptively and numerically.

ETHICS AND DISSEMINATION

The scoping review will provide an overview of how CLDs developed by stakeholders have been elicited to understand food environments, diet and obesity, the insights gained and how the CLDs have been used. It will also highlight gaps in knowledge and implications for policy and practice. The review will be disseminated through publication in an academic journal and conference presentations.

摘要

简介

食品系统可以以复杂的方式塑造饮食行为和肥胖结果。使用因果关系图(CLD)的定性系统映射可以描述人们如何以支持政策规划和行动的方式理解食品系统的复杂动态、相互关系和反馈特征。迄今为止,尚未有人尝试对此类文献进行综述。本综述的目的是确定使用定性系统映射来构建 CLD 以帮助利益相关者理解食品环境的研究的范围和性质,包括所代表的环境和人群、主要发现以及所采用的方法学过程。它还旨在确定知识空白和对政策与实践的影响。

方法和分析

本方案遵循 Joanna Briggs 研究所手册、Khalil 及其同事的框架以及系统评价和荟萃分析扩展的首选报告项目对范围综述报告指南进行指导。该搜索策略由两名学术图书管理员和研究团队迭代开发。该策略将用于搜索六个数据库,包括 Ovid MEDLINE、Embase、EmCare、Web of Science、Scopus 和 ProQuest Central。两名独立审查员将通过标题和摘要以及全文文章对识别出的引用进行筛选,以确定符合纳入标准的论文。将检索纳入研究和相关系统评价的参考文献列表,以确定其他符合纳入标准的论文。两名审查员将从所有纳入的研究中提取信息,并描述性和数字性地总结研究结果。

伦理和传播

该范围综述将概述利益相关者如何通过构建 CLD 来理解食品环境、饮食和肥胖,以及从中获得的见解以及如何使用 CLD。它还将突出知识空白和对政策与实践的影响。该综述将通过在学术期刊上发表和会议演示来传播。

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Complex Systems Approaches to Diet: A Systematic Review.饮食的复杂系统方法:一项系统综述。
Am J Prev Med. 2019 Aug;57(2):273-281. doi: 10.1016/j.amepre.2019.03.017.

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