Quantifying the Effect of Changes in State-Level Adult Smoking Rates on Youth Smoking

Farrelly, Matthew C.; Arnold, Kristin; Juster, Harlan R.; Allen, Jane

doi:10.1097/phh.0b013e31829aa28e

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…We also matched state per-capita tobacco control funding (TCF) in inflation-adjusted 2015 dollars [52] from RTI International’s internal TCF database [20,21,29,53,54] to each participant by state-year. These funds include federal and state funding for tobacco control, including excise taxes earmarked for tobacco control, state settlement and Master Settlement Agreement sources, funding from the Centers for Disease Control and Prevention, and other state appropriations for tobacco control, with a great deal of variability in the amount allocated to each of these activities across states [21].…”

Section: Methodsmentioning

confidence: 99%

Differential Relationship between Tobacco Control Policies and U.S. Adult Current Smoking by Poverty

Dutra

Farrelly

Nonnemaker

et al. 2019

IJERPH

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The study’s purpose was to identify differences in the relationship between tobacco control policies and smoking by poverty. We matched state smoke-free air law coverage (SFALs), tobacco control funding (TCF), and cigarette taxes with individual current smoking and demographics from supplements to the Current Population Survey (1985–2015). We regressed (logistic) smoking on policy variables, poverty (<138% of poverty line versus ≥138% of poverty line), interactions of policy and poverty, and covariates, presenting beta coefficients instead of odds ratios because it is difficult to interpret interactions using odds ratios (they are ratios of odds ratios). We coded SFALs as (1) proportion of state covered by 100% workplace, restaurant and bar laws (SFAL-All) or (2) proportion of state covered by workplace laws (SFAL-WP) and proportion covered by restaurant or bar laws (SFAL-RB). In the SFAL-All model, SFAL-All (Beta coeff: −0.03, 95% CI: −0.06, −0.002), tax (Coeff: −0.06, 95% CI: −0.07, −0.05), and TCF (Coeff: −0.01, 95% CI: −0.01, −0.001) were associated with less smoking. In this model, the interaction of SFAL-All by poverty was significant (Coeff: 0.08, 95% CI: 0.02, 0.13). In the SFAL-WP/RB model, SFAL-RB (Coeff: −0.05, 95% CI: −0.08, −0.02), tax (Coeff: −0.05, 95% CI: −0.06, −0.04), and TCF (Coeff: −0.01, 95% CI: −0.01, −0.00) were significant. In the same model, SFAL-WP (Coeff: 0.09, 95% CI: 0.03, 0.15), SFAL-RB (Coeff: −0.14, 95% CI: −0.19, −0.09), and TCF (Coeff: 0.01, 95% CI: 0.00, 0.02) interacted with poverty. Tax by poverty was of borderline significance in this model (Coeff = 0.02, 95% CI: −0.00, 0.04, p = 0.050). Among adults, SFALs, TCF, and tax were associated with less current smoking, and SFALs and TCF had differential relationships with smoking by poverty.

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Section: Methodsmentioning

confidence: 99%

Differential Relationship between Tobacco Control Policies and U.S. Adult Current Smoking by Poverty

Dutra

Farrelly

Nonnemaker

et al. 2019

IJERPH

Self Cite

View full text Add to dashboard Cite

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Association between snack intake behaviors of children and neighboring women: A population-based cross-sectional analysis with spatial regionalization

Yamamoto,

Takagi,

Hashimoto

2024

SSM - Population Health

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Associations Between Characteristics Of Large National Regions And Individual Smoking: A Scoping Review

Maksimov,

Tsygankova,

Danilchenko

et al. 2024

Russ Open Med J

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Objective — to systematize scientific knowledge on the effect of living conditions in large national regions on tobacco consumption at the individual level. Material and Methods — The goals and methodology of the systematic review were previously specified and recorded in the protocol PROSPERO CRD42021234874. We conducted a search for publications on the topic of our study in PubMed, Google Scholar, OpenGrey, CrossRef and eLibrary databases through December 31, 2021. Article search, selection and analysis were carried out by two trained researchers, with the participation of a third researcher whenever necessary. After removing duplicates, ineligible articles, and full-text screening, 204 publications were included in this review from the initial pool of 9,717 publications. Results — Published articles on the topic under consideration varied significantly in terms of the sample size, study design, regional characteristics, and considered outcomes (smoking). The most convincing were the dependences of individual tobacco consumption on the legislative characteristics and tobacco environment in the regions. Regional characteristics unrelated to tobacco use were not often analyzed in reviewed studies. As shown in our review, to date, they did not confirm any impact whatsoever. Conclusion — We examined the features of research on the topic under consideration and highlighted the best evidence-based predictors of the regional environment in relation to smoking. We also identified poorly studied areas of research requiring further attention.

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Quantifying the Effect of Changes in State-Level Adult Smoking Rates on Youth Smoking

Abstract: By quantifying the effect of changes in state-level adult smoking rates on youth smoking, this study enhances the precision with which the tobacco control community can assess the return on investment for adult-focused tobacco control programs.

Cited by 3 publications

References 32 publications

Differential Relationship between Tobacco Control Policies and U.S. Adult Current Smoking by Poverty

Differential Relationship between Tobacco Control Policies and U.S. Adult Current Smoking by Poverty

Association between snack intake behaviors of children and neighboring women: A population-based cross-sectional analysis with spatial regionalization

Associations Between Characteristics Of Large National Regions And Individual Smoking: A Scoping Review

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