Objectives. To evaluate changes in licensed tobacco retailers and retailer density 5 years before and 3 years after novel tobacco retailer licensing regulations were implemented in a large, urban area. Methods. We used administrative tobacco license data (n = 23 806 licenses, 2012–2019) to calculate (1) annual retailer density by district (n = 18), (2) density by district and school income status, and (3) retailers within 500 feet of schools (n = 673) before and after regulations. Results. Observed tobacco retailer density declined by 20.3% (from 1.97 to 1.57 per 1000 daytime residents) 3 years after regulation implementation. Regression results showed a decline in the trend of retailers per 1000 daytime population (b = −0.19; 95% confidence interval[CI] = −0.23, −0.14) that was modestly but significantly greater in low-income districts (interaction b = −0.18; 95% CI = −0.25, −0.11) and a 12% decline in the rates of retailers near schools (rate ratio = 0.88; 95% CI = 0.85, 0.92) following implementation of the regulations. We did not observe similar density changes in comparable cities. Conclusions. Tobacco retailer licensing strategies can be an effective policy approach to reduce the availability of tobacco and tobacco marketing, lessen socioeconomic disparities in tobacco retailer density, and decrease the number of tobacco outlets near schools.

Objectives Multi-unit housing environments remain significant sources of secondhand smoke (SHS) exposure, especially for vulnerable populations in subsidized housing. In Philadelphia, the largest US housing authority to implement smoke-free policies, we measured baseline resident smoking-related behaviors and attitudes, and longitudinal exposures to airborne nicotine, during policy development and implementation. Methods In 4 communities, we collected data in 2013, 2014, and 2016, before and after introduction of comprehensive smoke-free policies, interviewing persons in 172 households, and monitoring air-borne nicotine in non-smoking homes and public areas. Average nicotine level differences across years were estimated with multi-level models. Results Fifty-six percent of respondents smoked. Only 37% of households were smoke-free, with another 41% restricting smoking by area or time of day. The number of locations with detectable nicotine did not differ before and after policy implementation, with approximately 20% of non-smoking homes and 70%–80% of public areas having detectable nicotine. However, public area nicotine levels were lower in 2016, after policy implementation, than in 2013 and 2014 (−0.19 μg/m3, p = .03). Conclusions Findings suggest that initial policy implementation was associated with reduced SHS exposure in Philadelphia. As HUD strengthens smoke-free policies, SHS monitoring can be useful to educate stakeholders and build support for policy enforcement.

In low-income, urban corner store settings, 87% of purchases did not include tobacco; most tobacco purchases did not include the sale of non-tobacco items and spending on non-tobacco items was similar whether or not tobacco was purchased. These findings can help inform retail-level tobacco sales decisions, such as voluntary discontinuation of tobacco products or future public health policies that target tobacco sales. The results challenge prevailing assumptions that tobacco sales are associated with sales of other products in corner stores, such as food and beverages.