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Support for Local Tobacco Policy in a Preemptive State

Bibliographic Data

ID15482010
AuthorsRebekah R Rhoades (University of Oklahoma Health Sciences Center, corresponding author), Laura A Beebe (0000-0002-5784-9203, University of Oklahoma Health Sciences Center), Nasir Mushtaq (0000-0002-2686-7601, University of Oklahoma Health Sciences Center)
Year2019
Volume16
Issue18
Pages3378-3378
Publication date2019-09-12
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16183378
PMID31547351
OpenAlexW2972526952
LanguageEN
References cited17

Policy at the local level is a critical component of comprehensive tobacco control programs. This study examined the relationships of individual and social factors with support for tobacco-related public policy using cross-sectional data (n = 4461) from adults participating in a statewide survey. Weighted multivariate, multinomial logistic regression examined associations between individual and social factors and support for tobacco-free city properties and support for limiting the number of stores that sell tobacco near schools. Oklahomans were more likely to favor policies that create tobacco-free city properties than policies that limit the number of stores that sell tobacco near schools. While non-smokers were most likely to favor both policies, support for both policies was greater than 50% among current smokers. Knowledge of secondhand smoke (SHS) exposure harm and female gender were predictors of support for both policies and among current, former, and never smokers. Rural-urban status was a predictor of support among former smokers and never smokers. Tobacco use among friends and family was only a predictor among never smokers' support for limiting the sale of tobacco near schools. This study demonstrates that level of support differs by policy type, individual smoking status, as well as among subpopulations, and identifies critical elements in the theory of change for tobacco control programs

Business · Economic growth · Economics · Environmental health · Harm · Limiting · Logistic regression · Multinomial logistic regression · Population · Public economics · Public health · Public policy · Public support · Social support · Tobacco control · Tobacco use · Medicine · Psychology · Smoking Behavior and Cessation · Social Psychology

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Highly citedNo

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