Evidence map›Paper›PMID 40289361›Full record

ArticleSubstance use & misuse2025

Spatial Associations of Alcohol Outlet Density with Neighborhood Crime and Child Opportunity: A Hierarchical Bayesian Ecological Study.

Sitara M Weerakoon, Bryce Puesta Takenaka, Nimisha Srikanth, Joshua L Warren, Ijeoma Opara

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Article in Substance use & misuse, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sitara M WeerakoonDepartment of Social and Behavioral Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0003-1006-1950
Bryce Puesta TakenakaDepartment of Social and Behavioral Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.
Nimisha SrikanthDepartment of Social and Behavioral Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.
Joshua L WarrenDepartment of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.
Ijeoma OparaDepartment of Social and Behavioral Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.

Funding

Integrating Community Based Participatory Research and Machine Learning Methods to Predict Youth Substance Use Disorders for Urban Cities in New JerseyDP1DA058982 · NIDA · YALE UNIVERSITY · PI OPARA, IJEOMA · 2023 to 2024
$2.3M
Understanding the Role of Neighborhoods on Urban Youth's Substance Use and Mental Health: A Community-Based Substance Abuse Prevention ProjectDP5OD029636 · OD · YALE UNIVERSITY · PI OPARA, IJEOMA · 2020 to 2024
$2.2M
NIDA NIH HHS DP1 DA058982NIH HHS DP5 OD029636
6 · The paper itself

Abstract

backgroundPassaic county, New Jersey (NJ) has a high population density and diverse racial composition, with significant socioeconomic disparities that vary by city. Such disparities expose residents, and particularly children, to environmental conditions that may be harmful to their health and wellbeing such as high exposure to crime, violence, and high amounts of alcohol outlets. This study explores the association between alcohol outlet density (AOD) and neighborhood-level crime rates and child opportunity index (COI) measures in Passaic county, NJ.

methodsWe applied a hierarchical Bayesian spatial approach to model the relationships between AOD and crime and child opportunity at the census tract level, controlling for neighborhood-level socioeconomic covariates (unemployment, access to health insurance, and living below the federal poverty level) and spatial correlation.

resultsIn total there were 120 census tracts in Passaic county which had a total of 554 alcohol outlets. The median number of alcohol outlets in a single census tract was four; the maximum number of outlets in a single census tract was 26. Our results show that neighborhoods in the highest tertile of AOD experienced significantly higher rates of property crime compared to those in the lower tertiles. Furthermore, lack of access to health insurance was consistently associated with both an increase in crime and a lower child opportunity index.

conclusionsThese findings suggest that reducing AOD and increasing access to health insurance in high-risk neighborhoods could mitigate crime and enhance opportunities for children. Policy interventions addressing these factors may be critical for improving community health and safety.

Indexed as

Alcoholic BeveragesCommerceCrimeNeighborhood CharacteristicsResidence CharacteristicsBayes TheoremChildHumansNew JerseySocioeconomic FactorsSpatial Analysisalcohol outlet densitychild opportunityproperty crimespatial regression

Identifiers

PMID40289361
PMCPMC12794613

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.