• Adam Drewnowski, Anju Aggarwal, Andrea Cook, Orion Stewart, and Anne Vernez Moudon.
• Center for Public Health Nutrition, School of Public Health, University of Washington, Seattle, WA, United States. Electronic address: adamdrew@uw.edu.
• Prev Med. 2016 Feb 1; 83: 46-55.

BackgroundHigher socioeconomic status (SES) has been linked with higher-quality diets. New GIS methods allow for geographic mapping of diet quality at a very granular level.ObjectiveTo examine the geographic distribution of two measures of diet quality: Healthy Eating Index (HEI 2005 and HEI 2010) in relation to residential property values in Seattle-King County.MethodsThe Seattle Obesity Study (SOS) collected data from a population-based sample of King County adults in 2008-09. Socio-demographic data were obtained by 20-min telephone survey. Dietary data were obtained from food frequency questionnaires (FFQs). Home addresses were geocoded to the tax parcel and residential property values were obtained from the King County tax assessor. Multivariable regression analyses using 1116 adults tested associations between SES variables and diet quality measured (HEI scores).ResultsResidential property values, education, and incomes were associated with higher HEI scores in bivariate analyses. Property values were not collinear with either education or income. In adjusted multivariable models, education and residential property were better associated with HEI, compared to than income. Mapping of HEI-2005 and HEI-2010 at the census block level illustrated the geographic distribution of diet quality across Seattle-King County.ConclusionThe use of residential property values, an objective measure of SES, allowed for the first visual exploration of diet quality at high spatial resolution: the census block level.Copyright © 2015 Elsevier Inc. All rights reserved.

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