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Health Promot Pract ; 21(1_suppl): 9S-17S, 2020 01.
Article in English | MEDLINE | ID: mdl-31908194

ABSTRACT

We conducted an environmental justice assessment examining the distribution of specialty vape shops in relation to where minority and low-income youth live and attend school. We collated and examined the density of vape shops in public school districts in 2018 throughout the conterminous United States using geographic information systems. We calculated the proximity of vape shops to public middle and high schools through nearest neighbor analysis in QGIS software. We examined the statistical relationships between the density of vape shops in school districts, and proximity to schools, with the proportion of racial/ethnic minorities and those living in poverty. We found that vape shops are more densely distributed, and are in closer proximity to schools, in school districts with higher proportions of Asian and Black or African American populations. However, vape shops were further away from schools in school districts with higher proportions of the population in poverty. The proximity and higher density of vape shops in relationship to schools in Asian and Black or African American communities may result in disproportionate health impacts due to greater access and exposure to vape products and advertisements. Our results may help school district administrators prioritize and target efforts to curb youth vaping (e.g., health education curricula) in these school districts with high density and closer proximity of vape shops to schools. Policy efforts, such as local ordinances restricting the promotion and sale of vaping products close to schools, could help prevent disproportionate human and environmental health impacts to minorities.


Subject(s)
Electronic Nicotine Delivery Systems/economics , Minority Groups/statistics & numerical data , Schools/statistics & numerical data , Vaping/economics , Adolescent , Commerce , Ethnicity/statistics & numerical data , Geographic Information Systems , Humans , Policy , Poverty/statistics & numerical data , Racial Groups/statistics & numerical data , Socioeconomic Factors , United States
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