Understanding depression, alcohol use, and sexual behaviors according to HIV infection stage and diagnosis timing is important for HIV prevention efforts. We enrolled persons with recent infection and diagnosis (i.e.
View Article and Find Full Text PDFIntroduction: The density of tobacco retailers varies by community characteristics such as poverty levels or racial and ethnic composition. However, few studies have investigated how specific types of tobacco retailers vary by community characteristics. Our objective was to assess how the types of tobacco retailers in Ohio varied by the characteristics of the communities in which they were located.
View Article and Find Full Text PDFResearch has separately established that there are disparities in tobacco use, that greater tobacco retailer density (TRD) is positively associated with tobacco use, and that TRD is greater in high poverty and high racial/ethnic minority neighborhoods. Connecting these topics, this study examined the association between disparities in TRD and disparities in the prevalence of tobacco use among adults and youth. We obtained Ohio data on tobacco use from two statewide adult surveys and two sub-state regional youth surveys (2017-2019).
View Article and Find Full Text PDFIn the 1930s United States, urban neighborhoods were graded on their desirability for investment (often based on race), a process known as "redlining." This study examined how historical redlining relates to current disparities in an important health determinant: tobacco retailer density. Analyses were conducted for thirteen Ohio cities using negative binomial models that accounted for retailer spatial dependence and controlled for present-day sociodemographic characteristics.
View Article and Find Full Text PDFObjectives: To assess tobacco licensing-law strategies (eg, restricting the sale of tobacco near schools, banning the sale of tobacco in pharmacies) in terms of the equity of their impact and ability to correct existing disparities in tobacco retailer density.
Methods: We geocoded all 11 392 tobacco retailers in Ohio, categorised neighbourhoods based on their demographic characteristics and calculated current disparities in tobacco retailer density. We next simulated the four main types of licensing-law strategies (capping-based, declustering-based, school-based and pharmacy-based), as well as strategy combinations.
Introduction: Studies from various parts of the country suggest that tobacco-related health disparities are exacerbated by disparities in the distribution of tobacco retailers (convenience stores, tobacco shops, etc.). The purpose of the present study was to use advanced spatial modeling techniques for count data to estimate current disparities in tobacco retailer density in Ohio.
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