Literature DB >> 23149325

Using geospatial technologies to explore activity-based retail food environments.

W Jay Christian1.   

Abstract

Several studies have demonstrated relationships between neighborhood-level retail food environments and obesity, race/ethnicity, and socioeconomic status. Most, however, have been limited by the use of residential neighborhoods to define food environments. This study recruited 121 participants to supply three days of Global Positioning System (GPS) tracking data to explore daily activity spaces and food environments. Participants also answered two surveys regarding personal characteristics, and diet and food purchasing. Several food environment measures were calculated for food locations within a half-mile of their GPS tracks. Non-parametric statistics examined (1) differences between activity- and neighborhood-based food environments, (2) associations between personal characteristics and activity-based food environments, and (3) associations between diet, purchasing, and activity-based food environments. Activity- and neighborhood-based food environments were significantly different. Several associations were observed among activity-based food environment measures and personal characteristics. Dietary intake, food purchasing, and obesity were associated with some activity-based food environment measures.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23149325     DOI: 10.1016/j.sste.2012.09.001

Source DB:  PubMed          Journal:  Spat Spatiotemporal Epidemiol        ISSN: 1877-5845


  32 in total

1.  Do people really know what food retailers exist in their neighborhood? Examining GIS-based and perceived presence of retail food outlets in an eight-county region of South Carolina.

Authors:  Timothy L Barnes; Bethany A Bell; Darcy A Freedman; Natalie Colabianchi; Angela D Liese
Journal:  Spat Spatiotemporal Epidemiol       Date:  2015-05-09

2.  Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study.

Authors:  Dustin T Duncan; Kosuke Tamura; Seann D Regan; Jessica Athens; Brian Elbel; Julie Meline; Yazan A Al-Ajlouni; Basile Chaix
Journal:  Ann Epidemiol       Date:  2016-10-29       Impact factor: 3.797

3.  An activity space approach to understanding how food access is associated with dietary intake and BMI among urban, low-income African American women.

Authors:  Ilana G Raskind; Michelle C Kegler; Amy Webb Girard; Anne L Dunlop; Michael R Kramer
Journal:  Health Place       Date:  2020-10-06       Impact factor: 4.078

4.  Geospatial exposure to point-of-sale tobacco: real-time craving and smoking-cessation outcomes.

Authors:  Thomas R Kirchner; Jennifer Cantrell; Andrew Anesetti-Rothermel; Ollie Ganz; Donna M Vallone; David B Abrams
Journal:  Am J Prev Med       Date:  2013-10       Impact factor: 5.043

Review 5.  Technologies to measure and modify physical activity and eating environments.

Authors:  Abby C King; Karen Glanz; Kevin Patrick
Journal:  Am J Prev Med       Date:  2015-05       Impact factor: 5.043

6.  Contextual Uncertainties, Human Mobility, and Perceived Food Environment: The Uncertain Geographic Context Problem in Food Access Research.

Authors:  Xiang Chen; Mei-Po Kwan
Journal:  Am J Public Health       Date:  2015-07-16       Impact factor: 9.308

7.  Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City.

Authors:  Kosuke Tamura; Brian Elbel; Basile Chaix; Seann D Regan; Yazan A Al-Ajlouni; Jessica K Athens; Julie Meline; Dustin T Duncan
Journal:  J Community Health       Date:  2017-10

8.  Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study.

Authors:  Dustin T Duncan; Seann D Regan; Donna Shelley; Kristen Day; Ryan R Ruff; Maliyhah Al-Bayan; Brian Elbel
Journal:  Geospat Health       Date:  2014-11       Impact factor: 1.212

9.  Mapping Multi-Day GPS Data: A Cartographic Study in NYC.

Authors:  Dustin T Duncan; Seann D Regan
Journal:  J Maps       Date:  2015-07-09       Impact factor: 2.709

10.  Access to supermarkets and fruit and vegetable consumption.

Authors:  Anju Aggarwal; Andrea J Cook; Junfeng Jiao; Rebecca A Seguin; Anne Vernez Moudon; Philip M Hurvitz; Adam Drewnowski
Journal:  Am J Public Health       Date:  2014-03-13       Impact factor: 9.308

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