Journal of hunger & environmental nutrition · 2022
Geospatial Food Environment Exposure and Obesity Among Low Income Baltimore City Children: Associations Differ by Data Source and Processing Method.
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Kharmats Anna Y, Corrigan Anne E, Curriero Frank C, Neff Roni, Caulfield Laura, Kennedy Caitlin E, Whitley Jessica, Montazer Jaleh S, Hu Lu, Gittelsohn Joel
Аннотация
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.