Literature DB >> 26530823

Comparing children's GPS tracks with geospatial proxies for exposure to junk food.

Richard C Sadler1, Jason A Gilliland2.   

Abstract

Various geospatial techniques have been employed to estimate children's exposure to environmental cardiometabolic risk factors, including junk food. But many studies uncritically rely on exposure proxies which differ greatly from actual exposure. Misrepresentation of exposure by researchers could lead to poor decisions and ineffective policymaking. This study conducts a GIS-based analysis of GPS tracks--'activity spaces'--and 21 proxies for activity spaces (e.g. buffers, container approaches) for a sample of 526 children (ages 9-14) in London, Ontario, Canada. These measures are combined with a validated food environment database (including fast food and convenience stores) to create a series of junk food exposure estimates and quantify the errors resulting from use of different proxy methods. Results indicate that exposure proxies consistently underestimate exposure to junk foods by as much as 68%. This underestimation is important to policy development because children are exposed to more junk food than estimated using typical methods.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bias; Children’s health; Error estimation; GPS tracking; Geographic information systems; Junk food exposure

Mesh:

Year:  2015        PMID: 26530823     DOI: 10.1016/j.sste.2015.09.001

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


  7 in total

1.  The Flint Food Store Survey: combining spatial analysis with a modified Nutrition Environment Measures Survey in Stores (NEMS-S) to measure the community and consumer nutrition environments.

Authors:  Erika R Shaver; Richard C Sadler; Alex B Hill; Kendall Bell; Myah Ray; Jennifer Choy-Shin; Joy Lerner; Teresa Soldner; Andrew D Jones
Journal:  Public Health Nutr       Date:  2018-01-24       Impact factor: 4.022

2.  Comparing competing geospatial measures to capture the relationship between the neighborhood food environment and diet.

Authors:  Pasquale E Rummo; Yasemin Algur; Tara McAlexander; Suzanne E Judd; Priscilla M Lopez; Samrachana Adhikari; Janene Brown; Melissa Meeker; Leslie A McClure; Brian Elbel
Journal:  Ann Epidemiol       Date:  2021-05-27       Impact factor: 6.996

3.  Exposure to unhealthy product advertising: Spatial proximity analysis to schools and socio-economic inequalities in daily exposure measured using Scottish Children's individual-level GPS data.

Authors:  Jonathan R Olsen; Chris Patterson; Fiona M Caryl; Tony Robertson; Stephen J Mooney; Andrew G Rundle; Richard Mitchell; Shona Hilton
Journal:  Health Place       Date:  2021-02-23       Impact factor: 4.931

Review 4.  How Sensors Might Help Define the External Exposome.

Authors:  Miranda Loh; Dimosthenis Sarigiannis; Alberto Gotti; Spyros Karakitsios; Anjoeka Pronk; Eelco Kuijpers; Isabella Annesi-Maesano; Nour Baiz; Joana Madureira; Eduardo Oliveira Fernandes; Michael Jerrett; John W Cherrie
Journal:  Int J Environ Res Public Health       Date:  2017-04-18       Impact factor: 3.390

5.  Children's mobility and environmental exposures in urban landscapes: A cross-sectional study of 10-11 year old Scottish children.

Authors:  Jonathan R Olsen; Richard Mitchell; Paul McCrorie; Anne Ellaway
Journal:  Soc Sci Med       Date:  2019-01-31       Impact factor: 4.634

6.  Seeing the food swamp for the weeds: Moving beyond food retail mix in evaluating young people's food environments.

Authors:  Jennifer Ann Brown; Alexa R Ferdinands; Rachel Prowse; Darcy Reynard; Kim D Raine; Candace I J Nykiforuk
Journal:  SSM Popul Health       Date:  2021-04-26

7.  Exploring factors affecting individual GPS-based activity space and how researcher-defined food environments represent activity space, exposure and use of food outlets.

Authors:  Windi Lameck Marwa; Duncan Radley; Samantha Davis; James McKenna; Claire Griffiths
Journal:  Int J Health Geogr       Date:  2021-07-28       Impact factor: 3.918

  7 in total

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