• J Urban Health · Dec 2024

    Neighborhood Factors as Correlates of Alcohol Use in the N2 Cohort Study of Black Sexually Minoritized Men and Transgender Women.

    • Tyrone Moline, Dustin T Duncan, Justin Knox, Seann Regan, Christina A Mehranbod, Cho-Hee Shrader, John A Schneider, and Byoungjun Kim.
    • Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. tmm2197@caa.columbia.edu.
    • J Urban Health. 2024 Dec 20.

    AbstractSexually minoritized men (SMM), transgender women (TW), and particularly Black SMM and Black TW may be disproportionately impacted by alcohol-related problems. Few studies have empirically examined neighborhood factors that may contribute to alcohol use, specifically among these populations. Using data from the N2 longitudinal cohort study in Chicago, IL, survey data from the second wave of longitudinal assessment (n = 126) and GPS mobility data from enrollment were used to evaluate neighborhood alcohol outlet availability, neighborhood disorder, and neighborhood poverty as correlates of individual alcohol use. Neighborhood exposures were measured using 200-m-derived activity space areas, created from GPS data, using publicly accessible geospatial contextual data. Separate multivariable quasi-poison regression models tested for association between neighborhood alcohol outlet density (AOD), measured separately for on-premise (e.g., bars) and off-premise consumption outlets (e.g., liquor stores), neighborhood poverty (defined as the percentage of neighborhood areas at 150% or greater of the US poverty line), exposure to vacant buildings, and neighborhood violent crime density. Separate analytical models found no significant effect between alcohol use and exposure to on-premise consumption venue AOD (risk ratio (RR) = 0.99, p = 0.57), off-premise consumption AOD (RR = 0.94, p = 0.56), neighborhood poverty (RR = 1.04, p = 0.07), or neighborhood violent crime (RR = 1.00, p = 0.94). Exposure to higher levels of vacant buildings (RR = 1.03, p = 0.04) was found to be significantly associated with increased alcohol use. Among this population, opposed to geospatial access, neighborhood measurements indicative of disorder may have a greater influence on shaping alcohol use.© 2024. The New York Academy of Medicine.

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