ArticleAlcoholism, clinical and experimental research2019
Methods for Evaluating the Association Between Alcohol Outlet Density and Violent Crime.
Article in Alcoholism, clinical and experimental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Protocol for creating a dataset of U.S. state alcohol-related firearm laws 2000-2022.PloS one · 2024Article
- Mapping the Way to Good Health: The Interdisciplinary Challenges of Geographers in Medical Research.International journal of environmental research and public health · 2022Article
- Looking Back and Moving Forward: The Evolution and Potential Opportunities for the Future of Alcohol Outlet Density Measurement.Addiction research & theory · 2021Article
- A Spatial Analysis of Alcohol Outlet Density and Abandoned Properties on Violent Crime in Paterson New Jersey.Journal of community health · 2020Article
- Alcohol Advertising and Violence.American journal of preventive medicine · 2020Article
- Association between state-level alcohol availability and taxation policies on the prevalence of alcohol-related harms to persons other than the drinker in the USA, 2000-2015.Drug and alcohol review · 2020Article
- Alcohol Outlet Clusters and Population Disparities.Journal of urban health : bulletin of the New York Academy of Medicine · 2020Article
- The Violence Prevention Potential of Reducing Alcohol Outlet Access in Baltimore, Maryland.Journal of studies on alcohol and drugs · 2020Article
- Outlet Type, Access to Alcohol, and Violent Crime.Alcoholism, clinical and experimental research · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe objective of this analysis was to compare measurement methods-counts, proximity, mean distance, and spatial access-of calculating alcohol outlet density and violent crime using data from Baltimore, Maryland.
methodsViolent crime data (n = 11,815) were obtained from the Baltimore City Police Department and included homicides, aggravated assaults, rapes, and robberies in 2016. We calculated alcohol outlet density and violent crime at the census block (CB) level (n = 13,016). We then weighted these CB-level measures to the census tract level (n = 197) and conducted a series of regressions. Negative binomial regression was used for count outcomes and linear regression for proximity and spatial access outcomes. Choropleth maps, partial R
resultsThe inference depended on the measurement methods used. Eight models that used a count of alcohol outlets and/or violent crimes failed to detect an association between outlets and crime, and 3 other count-based models detected an association in the opposite direction. Proximity, mean distance, and spatial access methods consistently detected an association between outlets and crime and produced comparable model fits.
conclusionsProximity, mean distance, and spatial access methods yielded the best model fits and had the lowest levels of error in this urban setting. Spatial access methods may offer conceptual strengths over proximity and mean distance. Conflicting findings in the field may be in part due to error in the way that researchers measure alcohol outlet density.
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