| Autor: |
Moline T; Columbia University Mailman School of Public Health., Duncan DT; Columbia University Mailman School of Public Health., Knox J; Columbia University Mailman School of Public Health., Regan S; Columbia University Mailman School of Public Health., Mehranbod CA; Columbia University Mailman School of Public Health., Shrader CH; Columbia University Mailman School of Public Health., Schneider J; University of Chicago Department of Medicine., Kim B; New York University Grossman School of Medicine. |
| Abstrakt: |
Sexually 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 collected during study enrollment were used to evaluate neighborhood alcohol outlet availability, neighborhood disorder, and neighborhood poverty as correlates for individual alcohol use. Neighborhood exposures were measured using 200-m derived activity space areas, created from GPS data, and with publicly accessible geospatial contextual data. Separate multi-variable 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 U.S. poverty line), exposure to vacant buildings, and neighborhood violent crime density. Separate analytical models found no significant effect between alcohol use and on-premise neighborhood AOD ( IRR = 0.99, p = 0.35 ), off-premise consumption AOD ( IRR = 0.92 , p = 0.33 ), or neighborhood violent crime ( IRR = 1.00, p = 0.65). Vacant buildings ( IRR = 1.03 , p = 0.05 ) and levels of neighborhood poverty ( 1.05 , p = 0.01 ) were found to be significantly associated with increased alcohol use. Among this population, opposed to geospatial access, neighborhood measurements indicative of disorder and poverty may have greater influence on shaping alcohol use. |
