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Supply and demand effects between tobacco retailer density and smoking prevalence
by
Baggett, Chris D
, Golden, Shelley D
, Combs, Todd
, Ribisl, Kurt M
, Kuo, Tzy-Mey
, Kong, Amanda Y
in
Censuses
/ Cigarettes
/ Convenience stores
/ Density
/ Discounts
/ Drug stores
/ Estimates
/ Grocery stores
/ Land area
/ Longitudinal studies
/ Marketing
/ Minors
/ Pharmacy
/ Policies
/ Population
/ Retail stores
/ Risk factors
/ Smoking
/ Surveillance systems
/ Tobacco
2025
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Supply and demand effects between tobacco retailer density and smoking prevalence
by
Baggett, Chris D
, Golden, Shelley D
, Combs, Todd
, Ribisl, Kurt M
, Kuo, Tzy-Mey
, Kong, Amanda Y
in
Censuses
/ Cigarettes
/ Convenience stores
/ Density
/ Discounts
/ Drug stores
/ Estimates
/ Grocery stores
/ Land area
/ Longitudinal studies
/ Marketing
/ Minors
/ Pharmacy
/ Policies
/ Population
/ Retail stores
/ Risk factors
/ Smoking
/ Surveillance systems
/ Tobacco
2025
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Do you wish to request the book?
Supply and demand effects between tobacco retailer density and smoking prevalence
by
Baggett, Chris D
, Golden, Shelley D
, Combs, Todd
, Ribisl, Kurt M
, Kuo, Tzy-Mey
, Kong, Amanda Y
in
Censuses
/ Cigarettes
/ Convenience stores
/ Density
/ Discounts
/ Drug stores
/ Estimates
/ Grocery stores
/ Land area
/ Longitudinal studies
/ Marketing
/ Minors
/ Pharmacy
/ Policies
/ Population
/ Retail stores
/ Risk factors
/ Smoking
/ Surveillance systems
/ Tobacco
2025
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Supply and demand effects between tobacco retailer density and smoking prevalence
Journal Article
Supply and demand effects between tobacco retailer density and smoking prevalence
2025
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Overview
ObjectivePlaces with more tobacco retailers have higher smoking prevalence levels, but whether this is because retailers locate where people who smoke live or whether tobacco availability prompts tobacco use is unknown. In this study, we compare the role of consumer demand with that of tobacco supply in longitudinal, area-based associations of tobacco retailer density with smoking prevalence.MethodsWe merged annual adult smoking prevalence estimates derived from the USA Behavioural Risk Factor Surveillance System data with annual county estimates of tobacco retailer density calculated from the National Establishment Time Series data for 3080 counties between 2000 and 2010. We analysed relationships between retailer density and smoking in 3080 counties, using random intercept cross-lagged panel models and employing two measures of tobacco retailer density capturing the number of likely tobacco retailers in a county divided by either the population or land area.ResultsBoth density models provided evidence of significant demand and supply effects; in the population-based model, the association of smoking prevalence in 1 year with tobacco retailer density in the next year (standardised coefficient=0.038, p<0.01) was about double the association between tobacco retailer density with subsequent smoking prevalence (0.017, p<0.01). The reverse was true in the land area-based model, where the supply effect (0.042, p<0.01) was more than 10 times stronger than the demand effect (0.003, p<0.01).ConclusionsPolicies that restrict access to retail tobacco have the potential to reduce smoking prevalence, but pairing such policies with interventions to reduce consumer demand remains important.
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