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Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA

BACKGROUND: Fast food restaurants reportedly target specific populations by locating in lower-income and in minority neighborhoods. Physical proximity to fast food restaurants has been associated with higher obesity rates. OBJECTIVE: To examine possible associations, at the census tract level, betwe...

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Autores principales: Hurvitz, Philip M, Moudon, Anne V, Rehm, Colin D, Streichert, Laura C, Drewnowski, Adam
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2724491/
https://www.ncbi.nlm.nih.gov/pubmed/19630979
http://dx.doi.org/10.1186/1479-5868-6-46
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author Hurvitz, Philip M
Moudon, Anne V
Rehm, Colin D
Streichert, Laura C
Drewnowski, Adam
author_facet Hurvitz, Philip M
Moudon, Anne V
Rehm, Colin D
Streichert, Laura C
Drewnowski, Adam
author_sort Hurvitz, Philip M
collection PubMed
description BACKGROUND: Fast food restaurants reportedly target specific populations by locating in lower-income and in minority neighborhoods. Physical proximity to fast food restaurants has been associated with higher obesity rates. OBJECTIVE: To examine possible associations, at the census tract level, between area demographics, arterial road density, and fast food restaurant density in King County, WA, USA. METHODS: Data on median household incomes, property values, and race/ethnicity were obtained from King County and from US Census data. Fast food restaurant addresses were obtained from Public Health-Seattle & King County and were geocoded. Fast food density was expressed per tract unit area and per capita. Arterial road density was a measure of vehicular and pedestrian access. Multivariate logistic regression models containing both socioeconomic status and road density were used in data analyses. RESULTS: Over one half (53.1%) of King County census tracts had at least one fast food restaurant. Mean network distance from dwelling units to a fast food restaurant countywide was 1.40 km, and 1.07 km for census tracts containing at least one fast food restaurant. Fast food restaurant density was significantly associated in regression models with low median household income (p < 0.001) and high arterial road density (p < 0.001) but not with percent of residents who were nonwhite. CONCLUSION: No significant association was observed between census tract minority status and fast food density in King County. Although restaurant density was linked to low household incomes, that effect was attenuated by arterial road density. Fast food restaurants in King County are more likely to be located in lower income neighborhoods and higher traffic areas.
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spelling pubmed-27244912009-08-11 Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA Hurvitz, Philip M Moudon, Anne V Rehm, Colin D Streichert, Laura C Drewnowski, Adam Int J Behav Nutr Phys Act Research BACKGROUND: Fast food restaurants reportedly target specific populations by locating in lower-income and in minority neighborhoods. Physical proximity to fast food restaurants has been associated with higher obesity rates. OBJECTIVE: To examine possible associations, at the census tract level, between area demographics, arterial road density, and fast food restaurant density in King County, WA, USA. METHODS: Data on median household incomes, property values, and race/ethnicity were obtained from King County and from US Census data. Fast food restaurant addresses were obtained from Public Health-Seattle & King County and were geocoded. Fast food density was expressed per tract unit area and per capita. Arterial road density was a measure of vehicular and pedestrian access. Multivariate logistic regression models containing both socioeconomic status and road density were used in data analyses. RESULTS: Over one half (53.1%) of King County census tracts had at least one fast food restaurant. Mean network distance from dwelling units to a fast food restaurant countywide was 1.40 km, and 1.07 km for census tracts containing at least one fast food restaurant. Fast food restaurant density was significantly associated in regression models with low median household income (p < 0.001) and high arterial road density (p < 0.001) but not with percent of residents who were nonwhite. CONCLUSION: No significant association was observed between census tract minority status and fast food density in King County. Although restaurant density was linked to low household incomes, that effect was attenuated by arterial road density. Fast food restaurants in King County are more likely to be located in lower income neighborhoods and higher traffic areas. BioMed Central 2009-07-24 /pmc/articles/PMC2724491/ /pubmed/19630979 http://dx.doi.org/10.1186/1479-5868-6-46 Text en Copyright © 2009 Hurvitz et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Hurvitz, Philip M
Moudon, Anne V
Rehm, Colin D
Streichert, Laura C
Drewnowski, Adam
Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA
title Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA
title_full Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA
title_fullStr Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA
title_full_unstemmed Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA
title_short Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA
title_sort arterial roads and area socioeconomic status are predictors of fast food restaurant density in king county, wa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2724491/
https://www.ncbi.nlm.nih.gov/pubmed/19630979
http://dx.doi.org/10.1186/1479-5868-6-46
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