Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Dutra LM

PROVIDER: S-EPMC6862047 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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

Dutra Lauren M LM Farrelly Matthew C MC Nonnemaker James J Bradfield Brian B Gaber Jennifer J Patel Minal M Hair Elizabeth C EC

International journal of environmental research and public health 20191026 21

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 cov ...[more]

PMID: 31717748

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Project description:ImportanceTobacco smoking is still responsible for more than 6 million preventable deaths annually, most of which occur in low- and middle-income countries. South American countries, Chile in particular, endure some of the highest cigarette smoking prevalence rates globally. Despite the lack of any meaningful increases in cigarette taxes (the most effective tobacco control measure) between 1999 and 2014, cigarette prices in Chile increased sharply almost entirely driven by British American Tobacco (BAT).ObjectiveTo examine the associations between cigarette prices and nonprice tobacco control policies targeted at youth introduced in 2006 (Law 20105) and smoking onset among Chilean youths.Design, setting, and participantsThis study used data from 8 waves of a large national school survey of urban communities in Chile conducted between October and December in 2001, 2003, 2015, 2007, 2009, 2011, 2013, and 2015 and discrete-time hazard models. Data analysis was performed from May 2017 to January 2019.ExposuresPrices, advertising, and retail restrictions.Main outcomes and measuresSmoking onset (the transition between never smoking and smoking) in youth.ResultsIn this study of 181 624 survey respondents in 8751 Chilean secondary schools, higher prices (own-price elasticity [percentage change in quantity demanded in response to a 1% change in price], -0.40; 95% CI, -0.45 to -0.36) and the tobacco control policies enacted in 2006 (hazard ratio, 0.83; 95% CI, 0.81-0.85) were associated with lower hazards of starting smoking. The study found that an increase in real prices of 58.6% and the introduction of Law 20105 were associated with similar lower hazards of starting smoking (hazard ratio, 0.83; 95% CI, 0.81-0.85); in comparison, between 1999 and 2017, inflation-adjusted cigarette prices increased by 206%.Conclusions and relevanceThe findings suggest that higher prices initiated by BAT and the tobacco control policies enacted by the Ministry of Health in 2006 were associated with lower hazards of starting smoking in Chilean youth. Large cigarette tax increases may be a strategy that can be used to help reduce smoking among youths in Chile.

Project description:OBJECTIVES:To coherently examine the responsiveness of the Swedish National Tobacco Quitline (SNTQ) to different types of anti-smoking policies over an extended period of calendar time. DESIGN:Quasi-experimental design with an intervention time-series analysis based on 19 years series of data collected between January 1999 and August 2017 (224 months). Statistical inference on calling rates and rate ratios was obtained using intervention time-series models (Poisson regression and transfer functions). PARTICIPANTS:A total of 179?851 phone calls to the SNTQ. INTERVENTIONS:Recent application of the 2014/40/ European Union (EU) Tobacco Products Directive in 2016. Historical interventions such as a campaign on passive smoking in January 2001; introduction of larger text warnings on cigarette packages since September 2002; banning smoking in restaurants since June 2005; and tobacco tax increase by 10% since January 2012. OUTCOME MEASURE:Calling rates to the SNTQ expressed per 100?000 smokers. SETTING:Sweden. RESULTS:The introduction of large pictorial warnings together with text warnings on cigarette packages (May 2016) was associated with a 35% increase in SNTQ calling rate (95% CI 1.16 to 1.57). The campaign on passive smoking (Jan 2001) was associated with a 61% higher calling rate (95% CI 1.06 to 2.45). Larger text warnings on cigarette packs (Sept 2002) conferred a 28% increment in the calling rate (95% CI 1.15 to 1.42); and prohibition to smoke in restaurants (Jun 2005) was associated with a 15% increase in the calling rate (95% CI 1.01 to 1.30). The 10% tobacco tax increase (Jan 2012) was associated with a 3% higher calling rate (95% CI 0.90 to 1.19). CONCLUSIONS:Within an overall decreasing trend of daily smoking in Sweden, we found that the recent introduction of pictorial warnings together with text warnings and referral text had a discernible positive impact on the calling rates to the smoking quitline. We were also able to detect a likely impact of earlier nationwide interventions.

Project description:Background and aimsThe impact of tobacco control on European older adults has not been studied, despite evidence that smoking cessation at old age can bring significant life expectancy gains. Our aim was to evaluate the impact of tobacco control policies on smoking among older adults in Europe from 2004 to 2013.DesignWe used longitudinal data from the Survey of Health, Ageing and Retirement in Europe (SHARE, aged 50+ years) from four waves from 2004 to 2013. We used logistic regression models with clustered standard errors to determine whether the implementation of tobacco control policies was associated with changes in smoking status. Furthermore, we studied whether these associations varied by socio-demographic characteristics. Regression coefficients were converted to changes the probability of smoking [marginal effects (ME)].MeasurementsSmoking status was the dependent variable, and the Tobacco Control Scale (TCS) was the explanatory variable, overall and by its main policy components (pricing and smoke-free policies). Covariates included age, sex, education and country and wave fixed-effects.FindingsA 10-point increase in TCS was associated with a lower probability of smoking by 1.6 percentage points [95% confidence interval (CI) = -3.208, -0.056] for those aged 50-65, but not for older Europeans. Among those with primary school or no education, the associated drop was of 1.5 percentage points (95% CI = -2.751, -0.253). By contrast, no significant relation between TCS and smoking was observed among those with high education. Higher TCS scores for pricing (ME = -0.636, 95% CI = -0.998, -0.275) and smoke-free policies (ME = -0.243, 95% CI = -0.445, -0.041) were associated with a significantly lower probability of smoking (P = 0.001 and P = 0.018, respectively).ConclusionIncreases in tobacco taxes and smoke-free policies are significantly related with a reduction in smoking among European older adults, suggesting potential health gains for this rising share of the population. These policies may be more effective among the lowest educated.

Project description:ObjectiveTo determine the mortality attributable to smoking and years of potential life lost from smoking among people in prison and whether bans on smoking in prison are associated with reductions in smoking related deaths.DesignAnalysis of cross sectional survey data with the smoking attributable mortality, morbidity, and economic costs system; population based time series analysis.SettingAll state prisons in the United States.Main outcome measuresPrevalence of smoking from cross sectional survey of inmates in state correctional facilities. Data on state prison tobacco policies from web based searches of state policies and legislation. Deaths and causes of death in US state prisons from the deaths in custody reporting program of the Bureau of Justice Statistics for 2001-11. Smoking attributable mortality and years of potential life lost was assessed from the smoking attributable mortality, morbidity, and economic costs system of the Centers for Disease Control and Prevention. Multivariate Poisson models quantified the association between bans and smoking related cancer, cardiovascular and pulmonary deaths.ResultsThe most common causes of deaths related to smoking among people in prison were lung cancer, ischemic heart disease, other heart disease, cerebrovascular disease, and chronic airways obstruction. The age adjusted smoking attributable mortality and years of potential life lost rates were 360 and 5149 per 100,000, respectively; these figures are higher than rates in the general US population (248 and 3501, respectively). The number of states with any smoking ban increased from 25 in 2001 to 48 by 2011. In prisons the mortality rate from smoking related causes was lower during years with a ban than during years without a ban (110.4/100,000 v 128.9/100,000). Prisons that implemented smoking bans had a 9% reduction (adjusted incidence rate ratio 0.91, 95% confidence interval 0.88 to 0.95) in smoking related deaths. Bans in place for longer than nine years were associated with reductions in cancer mortality (adjusted incidence rate ratio 0.81, 95% confidence interval 0.74 to 0.90).ConclusionsSmoking contributes to substantial mortality in prison, and prison tobacco control policies are associated with reduced mortality. These findings suggest that smoking bans have health benefits for people in prison, despite the limits they impose on individual autonomy and the risks of relapse after release.

Dataset Information

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

Publications

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

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