Geospatial Food Environment Exposure and Obesity among Low Income Baltimore City Children: Associations Differ by Data Source and Processing Method

Anna Y. Kharmats, Anne E. Corrigan, Frank C. Curriero, Roni Neff, Laura E. Caulfield, Caitlin E. Kennedy, Jessica Whitley, Jaleh S. Montazer, Lu Hu, Joel Gittelsohn

Research output: Contribution to journalArticlepeer-review

Abstract

Due to the high prevalence of childhood obesity, it is imperative to assess the relationship children’s access to food retailers and obesity. However, the influence of methodological decisions on these associations has been understudied. We examined relationships between different measures of geospatial food environment (using 4 data sources, and 2 data processing methods), and BMI in a sample of low-income children in Baltimore, Maryland. The choice of data sources and data processing methods produced large differences in estimates of children’s exposures to certain store types, such as supermarket-like stores, but had less impact on associations with BMI z-scores.

Original languageEnglish (US)
JournalJournal of Hunger and Environmental Nutrition
DOIs
StateAccepted/In press - 2022

Keywords

  • CLF
  • Center for a Livable Future
  • Food environment
  • Maryland
  • ReferenceUSA
  • SNAP
  • childhood obesity
  • food retailer data sources
  • geospatial food access
  • obesity

ASJC Scopus subject areas

  • Health(social science)
  • Nutrition and Dietetics
  • Public Health, Environmental and Occupational Health

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