Open AccessA new method to visualize obesity prevalence in Seattle‐King County at the census block level
Author(s) -
Drewnowski A.,
Buszkiewicz J.,
Aggarwal A.,
Cook A.,
Moudon A. V.
Publication year - 2018
Publication title -
obesity science and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 14
ISSN - 2055-2238
DOI - 10.1002/osp4.144
Subject(s) - obesity , decile , census , socioeconomic status , medicine , confidence interval , demography , geocoding , odds , odds ratio , logistic regression , gerontology , geography , environmental health , population , cartography , statistics , pathology , sociology , mathematics
Summary Objective The aim of this study is to map obesity prevalence in Seattle King County at the census block level. Methods Data for 1,632 adult men and women came from the Seattle Obesity Study I. Demographic, socioeconomic and anthropometric data were collected via telephone survey. Home addresses were geocoded, and tax parcel residential property values were obtained from the King County tax assessor. Multiple logistic regression tested associations between house prices and obesity rates. House prices aggregated to census blocks and split into deciles were used to generate obesity heat maps. Results Deciles of property values for Seattle Obesity Study participants corresponded to county‐wide deciles. Low residential property values were associated with high obesity rates (odds ratio, OR: 0.36; 95% confidence interval, CI [0.25, 0.51] in tertile 3 vs. tertile 1), adjusting for age, gender, race, home ownership, education, and incomes. Heat maps of obesity by census block captured differences by geographic area. Conclusion Residential property values, an objective measure of individual and area socioeconomic status, are a useful tool for visualizing socioeconomic disparities in diet quality and health.