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

Saved in:
Bibliographic Details
Title: Spatial Associations of Alcohol Outlet Density with Neighborhood Crime and Child Opportunity: A Hierarchical Bayesian Ecological Study.
Authors: Weerakoon, Sitara M. (AUTHOR), Takenaka, Bryce Puesta (AUTHOR), Srikanth, Nimisha (AUTHOR), Warren, Joshua L. (AUTHOR), Opara, Ijeoma (AUTHOR)
Source: Substance Use & Misuse. 2025, Vol. 60 Issue 9, p1319-1327. 9p.
Subjects: Child welfare, Children's health, Alcoholic beverages, Crime, Research funding, Social determinants of health, Probability theory, Socioeconomic factors, Health insurance, Ethanol, Descriptive statistics, Business, Child development, Public health, Comparative studies, Neighborhood characteristics, Ecological research, Poverty
Geographic Terms: New Jersey
Abstract: Background: Passaic 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. Methods: We 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. Results: In 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. Conclusions: These 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. [ABSTRACT FROM AUTHOR]
Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
Description
Abstract:Background: Passaic 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. Methods: We 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. Results: In 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. Conclusions: These 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. [ABSTRACT FROM AUTHOR]
ISSN:10826084
DOI:10.1080/10826084.2025.2496932