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

Peng Jia1, Hong Xue2, Li Yin3

  • 1Department 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.

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|February 5, 2019
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Summary

Geographic Information Systems (GIS), Global Positioning Systems (GPS), and remote sensing (RS) are transforming obesity research by mapping environmental factors and individual behaviors. These 3S technologies offer advanced tools for understanding obesity causes and developing targeted interventions.

Keywords:
GISGPSGeographic information systemsGlobal positioning systemsObesityObesogenic environmentRemote sensingSpatial analysis

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Area of Science:

  • Environmental Health
  • Spatial Epidemiology
  • Public Health Informatics

Background:

  • Obesity research increasingly utilizes spatial data to understand environmental influences.
  • Traditional methods often lack the granularity to capture complex obesogenic environments.
  • Geographic Information Systems (GIS), Global Positioning Systems (GPS), and remote sensing (RS) offer novel approaches.

Purpose of the Study:

  • To review the applications of GIS, GPS, and RS in obesity research.
  • To highlight the potential of these spatial technologies (3S technologies) in understanding obesity etiology.
  • To discuss their role in developing targeted obesity interventions.

Main Methods:

  • Review of literature on the application of GIS, GPS, and RS in obesity studies.
  • Categorization of uses for each technology: GIS for visualization and pattern detection, GPS for activity space and behavior measurement, RS for environmental data.
  • Synthesis of how these technologies collectively enhance obesogenic environment assessment.

Main Results:

  • GIS is primarily used for visualizing obesity outcomes, risk factors, and environmental features, and detecting geographical patterns.
  • GPS aids in defining individual activity spaces and measuring obesogenic behaviors when combined with other devices.
  • Remote sensing (RS) provides crucial data on natural and built environments, though often understated.

Conclusions:

  • The 3S technologies are revolutionizing obesity research by enabling finer-level measurement of obesogenic environments and individual exposures.
  • These spatial tools are critical for a more comprehensive understanding of obesity's causes.
  • Future research can leverage 3S technologies for more effective obesity interventions.