Literature DB >> 23515009

Density of tobacco retailers and its association with sociodemographic characteristics of communities across New York.

B R Loomis1, A E Kim, J L Goetz, H R Juster.   

Abstract

OBJECTIVE: To examine the association of community median income, race/ethnicity and age with the availability of tobacco products in New York State and six subareas. STUDY
DESIGN: Spatial regression analysis applied to licensed tobacco retailer and sociodemographic data in 2009 in New York.
METHODS: This study assessed the association between tobacco retailer density and four demographic correlates (percentage African American, percentage Hispanic, percentage aged <18 years and median household income) at the census tract level in New York in 2009. Associations were modelled for New York State and six subareas: Greater New York City/Long Island, New York minus Greater New York City/Long Island (rest of State), the Capital region (containing the city of Albany and surrounding areas), Erie County (containing the city of Buffalo), Monroe County (containing the city of Rochester) and Onondaga County (containing the city of Syracuse). In total, 19,420 licensed tobacco retailers were linked to 4795 residential census tracts.
RESULTS: In New York State, residential census tracts with higher proportions of African Americans and Hispanics generally had a significantly higher density of tobacco retailers. Census tracts with a higher percentage of residents aged <18 years and higher median household income generally had a significantly lower density of tobacco retailers. However, these associations were not statistically significant in all areas studied.
CONCLUSIONS: Tobacco retailers tend to be more densely distributed in areas characterized by high minority or low-income populations, but these associations were not found in all areas. This may suggest that policy measures to reduce the density of tobacco retailers may be more effective at reducing disparities in tobacco availability and exposure to point-of-sale advertising in some areas than in others.
Copyright © 2013 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23515009     DOI: 10.1016/j.puhe.2013.01.013

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  38 in total

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