Spatial Clustering of Tobacco Retailers Near US Public Schools

Author:

Halvorson-Fried Sarah M12ORCID,Kong Amanda Y34ORCID,D’Angelo Heather1,Delamater Paul L25ORCID,Ribisl Kurt M12

Affiliation:

1. Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina , Chapel Hill, NC , USA

2. Lineberger Comprehensive Cancer Center, University of North Carolina , Chapel Hill, NC , USA

3. Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center , Oklahoma City, OK , USA

4. TSET Health Promotion Research Center, Stephenson Cancer Center , Oklahoma City, OK , USA

5. Department of Geography, University of North Carolina , Chapel Hill, NC , USA

Abstract

Abstract Introduction Previous studies have found that tobacco retailers cluster near schools. However, all retail outlets may be located near each other and near schools due to existing infrastructure and zoning policies. We assessed whether tobacco retailers cluster near schools in the United States more than expected when accounting for existing retail locations. Aims and Methods We identified 322 056 probable tobacco retailers, 95 110 public schools, and more than 3.8 million businesses comparable to tobacco retailers in land use and business type. We created 500 simulated tobacco retailer datasets by randomly selecting from the larger list of businesses. For each simulated dataset, we calculated the distance from schools to the nearest tobacco retailer (proximity) and the count of tobacco retailers within 800 m of schools (density). Observed proximity and density values were compared to 95% coverage intervals from the 500 simulations. We stratified analyses by urbanicity, percentage of students in the free and reduced-priced lunch program (FRLP), and percentage of Hispanic/Latino, non-Hispanic Black, and non-Hispanic white students. Results Tobacco retailers were closer to schools in rural areas, cities, and towns and more dense around schools in rural areas, cities, and suburbs compared to random locations in potential retail space. Schools with more students receiving FRLP had higher density than expected while schools with fewer students receiving FRLP had lower density than expected. Within rural areas, clustering did not vary across sociodemographic groups. Within non-rural areas, there were inequities in clustering by racial, ethnic, and socioeconomic school composition. Conclusions Tobacco retailers cluster near schools after accounting for existing business patterns. There are inequities in clustering by sociodemographic school composition. Implications This study provides compelling evidence that tobacco retailers cluster near US public schools and that there are racial, ethnic, and socioeconomic inequities in clustering, even when accounting for overall retail location patterns. Given that public schools tend to reflect neighborhood demographics, policies to limit tobacco retailers near schools may reduce both school-based and neighborhood-based inequities.

Funder

National Institutes of Health

Tobacco Settlement Endowment Trust

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health

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