PT - JOURNAL ARTICLE AU - Panagis Galiatsatos AU - Cynthia Kineza AU - Seungyoun Hwang AU - Juliana Pietri AU - Emily Brigham AU - Nirupama Putcha AU - Cynthia S Rand AU - Meredith McCormack AU - Nadia N Hansel TI - Neighbourhood characteristics and health outcomes: evaluating the association between socioeconomic status, tobacco store density and health outcomes in Baltimore City AID - 10.1136/tobaccocontrol-2017-053945 DP - 2018 Jul 01 TA - Tobacco Control PG - e19--e24 VI - 27 IP - e1 4099 - http://tobaccocontrol.bmj.com/content/27/e1/e19.short 4100 - http://tobaccocontrol.bmj.com/content/27/e1/e19.full SO - Tob Control2018 Jul 01; 27 AB - Introduction Several studies suggest that the health of an individual is influenced by the socioeconomic status (SES) of the community in which he or she lives. This analysis seeks to understand the relationship between SES, tobacco store density and health outcomes at the neighbourhood level in a large urban community.Methods Data from the 55 neighbourhoods of Baltimore City were reviewed and parametric tests compared demographics and health outcomes for low-income and high-income neighbourhoods, defined by the 50th percentile in median household income. Summary statistics are expressed as median. Tobacco store density was evaluated as both an outcome and a predictor. Association between tobacco store densities and health outcomes was determined using Moran’s I and spatial regression analyses to account for autocorrelation.Results Compared with higher-income neighbourhoods, lower-income neighbourhoods had higher tobacco store densities (30.5 vs 16.5 stores per 10 000 persons, P=0.01), lower life expectancy (68.5 vs 74.9 years, P<0.001) and higher age-adjusted mortality (130.8 vs 102.1 deaths per 10 000 persons, P<0.001), even when controlling for other store densities, median household income, race, education status and age of residents.Conclusion In Baltimore City, median household income is inversely associated with tobacco store density, indicating poorer neighbourhoods in Baltimore City have greater accessibility to tobacco. Additionally, tobacco store density was linked to lower life expectancy, which underscores the necessity for interventions to reduce tobacco store densities.