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9 a.m. - 8 p.m.
Phone: (843) 805-6930
West Ashley Library
9 a.m. - 7 p.m.
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Folly Beach Library
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Phone: (843) 588-2001
John L. Dart Library
9 a.m. - 7 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 8 p.m.
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Dorchester Road Library
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Edgar Allan Poe/Sullivan's Island Library
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John's Island Library
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McClellanville Library
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Edisto Library
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Wando Mount Pleasant Library
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Otranto Road Library
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Hurd/St. Andrews Library
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Bees Ferry West Ashley Library
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Keith Summey North Charleston Library
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Alcohol Retail Density and Demographic Predictors of Health Disparities: A Geographic Analysis.
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- Author(s): Berke, Ethan M.; Tanski, Susanne E.; Demidenko, Eugene; Alford-Teaster, Jennifer; Shi, Xun; Sargent, James D.
- Source:
American Journal of Public Health. Oct2010, Vol. 100 Issue 10, p1967-1971. 5p. 2 Graphs. - Source:
- Additional Information
- Subject Terms:
- Subject Terms:
- Abstract: Objectives. We examined whether the geographic density of alcohol retailers was greater in geographic areas with higher levels of demographic characteristics that predict health disparities. Methods. We obtained the locations of all alcohol retailers in the continental United States and created a map depicting alcohol retail outlet density at the US Census tract level. US Census data provided tract-level measures of poverty, education, crowding, and race/ethnicity. We used multiple linear regression to assess relationships between these variables and retail alcohol density. Results. In urban areas, retail alcohol density had significant nonlinear relationships with Black race, Latino ethnicity, poverty, and education, with slopes increasing substantially throughout the highest quartile for each predictor. In high-proportion Latino communities, retail alcohol density was twice as high as the median density. Retail alcohol density had little or no relationship with the demographic factors of interest in suburban, large town, or rural census tracts. Conclusions. Greater density of alcohol retailers was associated with higher levels of poverty and with higher proportions of Blacks and Latinos in urban census tracts. These disparities could contribute to higher morbidity in these geographic areas. [ABSTRACT FROM AUTHOR]
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