Spatial Technologies in Obesity Research: Current Applications and Future Promise

被引:45
作者
Jia, Peng [1 ,2 ]
Xue, Hong [3 ]
Yin, Li [4 ]
Stein, Alfred [1 ]
Wang, Minqi [5 ]
Wang, Youfa [6 ]
机构
[1] Univ Twente, Dept Earth Observat Sci, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 Enschede, Netherlands
[2] Int Initiat Spatial Lifecourse Epidemiol ISLE, NL-7500 Enschede, Netherlands
[3] Virginia Commonwealth Univ, Sch Med, Dept Hlth Behav & Policy, Med Coll Virginia Campus, Richmond, VA 23298 USA
[4] SUNY Buffalo, Dept Urban & Reg Planning, Buffalo, NY 14214 USA
[5] Univ Maryland, Dept Behav & Community Hlth, College Pk, MD 20742 USA
[6] Xi An Jiao Tong Univ, Global Hlth Inst, Dept Epidemiol & Biostat, Sch Publ Hlth,Hlth Sci Ctr, Xian 710061, Shaanxi, Peoples R China
基金
美国国家卫生研究院;
关键词
BODY-MASS INDEX; PHYSICAL-ACTIVITY; FOOD ENVIRONMENTS; INFORMATION-SYSTEMS; CHILDREN; HEALTH; GPS; GIS; PREVALENCE; WALKABILITY;
D O I
10.1016/j.tem.2018.12.003
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:211 / 223
页数:13
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