Reducing Exposure to Tobacco Retailers with Residential Zoning Policy: Insights from a Geospatial Analysis of Wilmington, Delaware

A Novel Approach for Conducting a Catchment Area Analysis of Breast Cancer by Age and Stage for a Community Cancer Center

BACKGROUND

The U.S. Preventive Services Task Force recently issued an updated draft recommendation statement to initiate breast cancer screening at age 40, reflecting well-documented disparities in breast cancer-related mortality that disproportionately impact younger Black women. This study applied a novel approach to identify hotspots of breast cancer diagnosed before age 50 and/or at an advanced stage to improve breast cancer detection within these communities.

METHODS

Cancer registry data for 3,497 women with invasive breast cancer diagnosed or treated between 2012 and 2020 at the Helen F. Graham Cancer Center and Research Institute (HFGCCRI) and who resided in the HFGCCRI catchment area, defined as New Castle County, Delaware, were geocoded and analyzed with spatial intensity. Standardized incidence ratios stratified by age and race were calculated for each hotspot.

RESULTS

Four hotspots were identified, two for breast cancer diagnosed before age 50, one for advanced breast cancer, and one for advanced breast cancer diagnosed before age 50. Younger Black women were overrepresented in these hotspots relative to the full-catchment area.

CONCLUSIONS

The novel use of spatial methods to analyze a community cancer center catchment area identified geographic areas with higher rates of breast cancer with poor prognostic factors and evidence that these areas made an outsized contribution to racial disparities in breast cancer.

IMPACT

Identifying and prioritizing hotspot breast cancer communities for community outreach and engagement activities designed to improve breast cancer detection have the potential to reduce the overall burden of breast cancer and narrow racial disparities in breast cancer.

Urban school neighbourhoods dominated by unhealthy food retailers and advertisements in Greater Tunis: a geospatial study in the midst of the nutrition transition

OBJECTIVE

Food environments are a major determinant of children's nutritional status. Scarce evidence on food environments exists in low- and middle-income countries (LMIC). This study aims to fill this gap by documenting the obesogenicity of food environments around schools in Greater Tunis, Tunisia - an LMIC of the Middle East and North Africa region with an ongoing nutrition transition and increasing rates of childhood obesity.

DESIGN

In this cross-sectional study, we assessed built food environments around fifty primary schools. Ground-truthing was performed to collect geographic coordinates and pictures of food retailers and food advertisement sets within an 800-m road network buffer of each school. Retailers and advertisement sets were categorised as healthy or unhealthy according to a NOVA-based classification. Associations between school characteristics and retailers or advertisement sets were explored using multinomial regression models.

SETTING

Greater Tunis, Tunisia.

PARTICIPANTS

Random sample of fifty (thirty-five public and fifteen private) primary schools.

RESULTS

Overall, 3621 food retailers and 2098 advertisement sets were mapped. About two-thirds of retailers and advertisement sets were labelled as unhealthy. Most retailers were traditional corner stores (22 %) and only 6 % were fruit and vegetable markets. The prevailing food group promoted was carbonated and sugar-sweetened beverages (22 %). The proportion of unhealthy retailers was significantly higher in the richest v. poorest areas.

CONCLUSIONS

School neighbourhood food environments included predominantly unhealthy retailers and advertisements. Mapping of LMIC food environments is crucial to document the impact of the nutrition transition on children's nutritional status. This will inform policies and interventions to curb the emergent childhood obesity epidemic.

Multi-Level Influences of Smoke-Free Policies in Subsidized Housing: Applying the COM-B Model and Neighborhood Assessments to Inform Smoke-Free Policies

Smoke-free policies in multi-unit housing are associated with reduced exposure to secondhand smoke (SHS); however, attitudes toward comprehensive smoke-free policies among residents in subsidized multi-unit housing are unknown. In this mixed-methods study, we explored the socio-ecological context for tobacco and cannabis use and attitudes toward policies restricting indoor use of these products through interviews with residents (N = 134) and staff (N = 22) in 15 federally subsidized multi-unit housing in San Francisco, California. We conducted a geo-spatial and ethnographic environmental assessment by mapping alcohol, cannabis, and tobacco retail density using ArcGIS, and conducted systematic social observations of the neighborhood around each site for environmental cues to tobacco use. We used the Capability, Opportunity, and Motivation behavior (COM-B) model to identify factors that might influence implementation of smoke-free policies in multi-unit housing. Knowledge and attitudes toward tobacco and cannabis use, social norms around smoking, neighborhood violence, and cannabis legalization were some of the social-ecological factors that influenced tobacco use. There was spatial variation in the availability of alcohol, cannabis, and tobacco stores around sites, which may have influenced residents' ability to maintain smoke-free homes. Lack of skill on how to moderate indoor smoking (psychological capability), lack of safe neighborhoods (physical opportunity), and the stigma of smoking outdoors in multi-unit housing (motivation) were some of the barriers to adopting a smoke-free home. Interventions to increase adoption of smoke-free policies in multi-unit housing need to address the co-use of tobacco and cannabis and commercial and environmental determinants of tobacco use to facilitate smoke-free living.

Sociodemographic inequities in tobacco retailer density: Do neighboring places matter?

We apply a spatial perspective to measure the extent to which the 2018 U.S. racial, ethnic, and socioeconomic composition of census tracts were each associated with tobacco retailer density within a tract and in its neighboring tracts (n = 71,409). A 10-percentage point increase in the Black population was associated with 0.07 (p < 0.05) more retailers per square mile within a focal tract and 0.35 (p < 0.001) more retailers per square mile in its neighbors on average. A greater percent of Hispanic/Latino residents was associated with more retailers per square mile, both within a focal tract (b = 0.95, p < 0.001) and in its neighbors 0.39 (p < 0.001). Inverse associations were observed for percent white. We also observed inequities by socioeconomic status. The overall magnitude of inequities may be underestimated if the spatial dependence between focal tracts and their neighbors are not taken into consideration. Policymakers should prioritize interconnected geographic areas experiencing high racialized and socioeconomic segregation when designing and implementing policies to reduce retail tobacco product availability.