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

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...

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Veröffentlicht in:International journal of environmental research and public health 2019-10, Vol.16 (21), p.4130
Hauptverfasser: Dutra, Lauren M, Farrelly, Matthew C, Nonnemaker, James, Bradfield, Brian, Gaber, Jennifer, Patel, Minal, Hair, Elizabeth C
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container_title International journal of environmental research and public health
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creator Dutra, Lauren M
Farrelly, Matthew C
Nonnemaker, James
Bradfield, Brian
Gaber, Jennifer
Patel, Minal
Hair, Elizabeth C
description 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 (
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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 (&lt;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, = 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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph16214130</identifier><identifier>PMID: 31717748</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Adults ; Census of Population ; Cigarette smoking ; Cigarettes ; Disease ; Excise taxes ; Funding ; Health risks ; High income ; Homeless people ; Homelessness ; Households ; Housing ; Humans ; Indoor environments ; Low income groups ; Medicaid ; Middle Aged ; Mortality rates ; Poverty ; Public housing ; Public Policy ; Restaurants ; Restaurants - legislation &amp; jurisprudence ; Risk analysis ; Risk factors ; Shelters ; Smoke ; Smoking ; Smoking Prevention - legislation &amp; jurisprudence ; Socioeconomic factors ; Taxation ; Taxes ; Taxes - legislation &amp; jurisprudence ; Tobacco ; Tobacco Products - economics ; Tobacco Smoke Pollution - legislation &amp; jurisprudence ; United States ; Variables ; Workplace - legislation &amp; jurisprudence ; Workplaces</subject><ispartof>International journal of environmental research and public health, 2019-10, Vol.16 (21), p.4130</ispartof><rights>2019. 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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 (&lt;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, = 0.050). 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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 (&lt;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, = 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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>31717748</pmid><doi>10.3390/ijerph16214130</doi><orcidid>https://orcid.org/0000-0001-8505-7994</orcidid><orcidid>https://orcid.org/0000-0002-1682-5440</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adult
Adults
Census of Population
Cigarette smoking
Cigarettes
Disease
Excise taxes
Funding
Health risks
High income
Homeless people
Homelessness
Households
Housing
Humans
Indoor environments
Low income groups
Medicaid
Middle Aged
Mortality rates
Poverty
Public housing
Public Policy
Restaurants
Restaurants - legislation & jurisprudence
Risk analysis
Risk factors
Shelters
Smoke
Smoking
Smoking Prevention - legislation & jurisprudence
Socioeconomic factors
Taxation
Taxes
Taxes - legislation & jurisprudence
Tobacco
Tobacco Products - economics
Tobacco Smoke Pollution - legislation & jurisprudence
United States
Variables
Workplace - legislation & jurisprudence
Workplaces
title Differential Relationship between Tobacco Control Policies and U.S. Adult Current Smoking by Poverty
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