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Updated: Jun 16, 2025

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
Published on: February 12, 2015
The impact of California Proposition 56 on smoking behaviors across geographic residence
Courtney Keeler1, Alexa Colgrove Curtis2
1Department of Population Health Sciences, School of Nursing, University of San Francisco, San Francisco, California, USA.
Purpose:
To explore the geographic impact of California's Proposition 56 (Prop 56) on smoking behaviors.
Methods:
We identified 61,193 respondents aged 21+ from the 2012-2018 California Behavioral Risk Factor Surveillance Survey. We constructed county identifiers indicating whether (1) a respondent lived in an urban, suburban, or rural county and (2) whether a respondent lived in a metropolitan statistical area (MSA) or not. Similarly, we created a binary variable indicating whether Prop 56 was in effect (Yes/No). We used a two-part model to estimate the association of Prop 56 with smoking participation among all adults and smoking intensity (average number of cigarettes smoked per day (CPD)) among current smokers. Models were run separately for each geographic subgroup. Additional covariates included sociodemographic characteristics and a time trend variable.
Findings:
Smoking prevalence was significantly different across geographic groups, with rates highest among the rural population group (13.8%) and lowest among the urban subgroup (9.1%). Similarly, rates of smoking intensity were significantly higher among non-urban populations, with average CPD highest among the rural population (10.66) and lowest among the urban subgroup (8.32). Regression models highlighted a negative association between Prop 56 and smoking participation only among the urban and MSA subgroups (p < 0.001). We found no evidence of an association between the enactment of Prop 56 with average CPD for any geographic group.
Conclusion:
Public health experts, clinicians, and policymakers might consider additional interventions that can be implemented in tandem with pricing tools to help reduce observed geographic disparities in smoking among rural-and even suburban-communities.
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