基于全球定位系统的食物环境暴露、饮食相关和心脏代谢健康结果:系统综述和研究议程。

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH International Journal of Health Geographics Pub Date : 2024-02-06 DOI:10.1186/s12942-024-00362-x
Noreen Z Siddiqui, Lai Wei, Joreintje D Mackenbach, Maria G M Pinho, Marco Helbich, Linda J Schoonmade, Joline W J Beulens
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引用次数: 0

摘要

背景:从地理角度获取食物可能会影响饮食选择和健康结果,但相关性的强度和方向可能取决于暴露测量的操作性。我们旨在系统地回顾有关基于全球定位系统(GPS)的食物环境暴露与饮食相关和心脏代谢健康结果之间关系的最新证据的文献:检索了从开始到 2022 年 10 月 31 日的 PubMed、Embase.com、APA PsycInfo(通过 Ebsco)、Cinahl(通过 Ebsco)、Web of Science Core Collection、Scopus 和 International Bibliography of the Social Sciences(通过 ProQuest)等数据库。我们纳入的研究通过 GPS 跟踪数据测量活动空间,以确定暴露于食品店的情况,并评估与饮食相关或心脏代谢健康结果的关联。质量评估采用纽卡斯尔-渥太华量表(Newcastle-Ottawa Scale,NOS)修订版中的横断面研究标准。此外,我们还使用了质量评估工具中的四个项目来专门评估 GPS 测量的质量:在检索到的 2949 项研究中,有 14 项研究符合我们的纳入标准。这些研究各不相同,证据也不一致。然而,有三项研究发现了食品店与购买食品之间的关联,例如,接触垃圾食品店越多,购买垃圾食品的几率就越高。在三项调查食品环境与代谢结果关系的研究中,有两项研究发现,更多接触不健康食品环境与更高的超重几率有关:目前有限的证据并不能有力地证明基于全球定位系统的食品环境暴露与饮食相关和心血管代谢健康结果之间存在一致的联系。
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Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda.

Background: Geographic access to food may affect dietary choices and health outcomes, but the strength and direction of associations may depend on the operationalization of exposure measures. We aimed to systematically review the literature on up-to-date evidence on the association between food environment exposures based on Global Positioning System (GPS) and diet-related and cardiometabolic health outcomes.

Methods: The databases PubMed, Embase.com, APA PsycInfo (via Ebsco), Cinahl (via Ebsco), the Web of Science Core Collection, Scopus, and the International Bibliography of the Social Sciences (via ProQuest) were searched from inception to October 31, 2022. We included studies that measured the activity space through GPS tracking data to identify exposure to food outlets and assessed associations with either diet-related or cardiometabolic health outcomes. Quality assessment was evaluated using the criteria from a modified version of the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. We additionally used four items from a quality assessment tool to specifically assess the quality of GPS measurements.

Results: Of 2949 studies retrieved, 14 studies fulfilled our inclusion criteria. They were heterogeneous and represent inconsistent evidence. Yet, three studies found associations between food outlets and food purchases, for example, more exposure to junk food outlets was associated with higher odds of junk food purchases. Two studies found associations between greater exposure to fast food outlets and higher fast food consumption and out of three studies that investigated food environment in relation to metabolic outcomes, two studies found that higher exposure to an unhealthy food environment was associated with higher odds of being overweight.

Conclusions: The current and limited evidence base does not provide strong evidence for consistent associations of GPS-based exposures of the food environment with diet-related and cardiometabolic health outcomes.

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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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