肥胖研究中的空间技术：当前应用与未来前景

Spatial Technologies in Obesity Research: Current Applications and Future Promise.

机构信息

Department of Earth Observation Science, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, 7500, The Netherlands; International Initiative on Spatial Lifecourse Epidemiology (ISLE), Enschede, 7500, The Netherlands.

Department of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.

出版信息

Trends Endocrinol Metab. 2019 Mar;30(3):211-223. doi: 10.1016/j.tem.2018.12.003. Epub 2019 Feb 1.

DOI:10.1016/j.tem.2018.12.003

PMID:30712979

Abstract

Geographic Information Systems (GIS), Global Positioning Systems (GPS), and remote sensing (RS) are revolutionizing obesity-related research. The primary applications of GIS have included visualizing obesity outcomes and risk factors, constructing obesogenic environmental indicators, and detecting geographical patterns of obesity prevalence and obesogenic environmental features. GPS was mainly used to delineate individual activity space and combined with other devices to measure obesogenic behaviors. RS has been understated for its role as important sources of data about natural and built environments. These spatial technologies, collectively called the 3S technologies, will be useful in measuring more facets of obesogenic environments and individual environmental exposure at finer levels and studying obesity etiology and interventions.

摘要

地理信息系统（GIS）、全球定位系统（GPS）和遥感（RS）正在彻底改变与肥胖相关的研究。GIS 的主要应用包括可视化肥胖结果和风险因素、构建致肥胖环境指标以及检测肥胖流行和致肥胖环境特征的地理模式。GPS 主要用于描绘个体活动空间，并与其他设备结合用于测量致肥胖行为。RS 在其作为有关自然和建成环境的数据的重要来源方面被低估了。这些空间技术统称为 3S 技术，将有助于更精细地测量致肥胖环境和个体环境暴露的更多方面，并研究肥胖病因学和干预措施。