Innovative measures can advance the measurement and understanding of obesogenic environments on health outcomes. In a southeastern US county, public parks (n = 103) were scored using detailed audit data, while two databases of food stores and restaurants were compiled (n = 1112). Using kernel density estimations, separate raster (pixel) surfaces were created for each built environment component. Each surface was scaled and summed to create an obesogenic environment measure. Health-promoting built environments were related to lower weight status in youth (β = -0.25, p < 0.05), with differences by urban and non-urban areas. This study demonstrates a unique method to quantify and test obesogenic built environments.
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| http://dx.doi.org/10.1016/j.healthplace.2019.01.011 | DOI Listing |
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