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Despite the presence of tobacco control policies, Louisiana continues to experience a high smoking burden and elevated smoking-attributable deaths. The SimSmoke model provides projections of these health outcomes in the face of ex...
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Despite the presence of tobacco control policies, Louisiana continues to experience a high smoking burden and elevated smoking-attributable deaths. The SimSmoke model provides projections of these health outcomes in the face of existing and expanded (simulated) tobacco control polices. The SimSmoke model utilizes population data, smoking rates, and various tobacco control policy measures from Louisiana to predict smoking prevalence and smoking-attributable deaths. The model begins in 1993 and estimates are projected through 2054. The model is validated against existing Louisiana smoking prevalence data. The most powerful individual policy measure for reducing smoking prevalence is cigarette excise tax. However, a comprehensive cessation treatment policy is predicted to save the most lives. A combination of tobacco control policies provides the greatest reduction in smoking prevalence and smoking-attributable deaths. The existing Louisiana excise tax ranks as one of the lowest in the country and the legislature is against further increases. Alternative policy measures aimed at lowering prevalence and attributable deaths are: cessation treatments, comprehensive smoke-free policies, and limiting youth access. These three policies have a substantial effect on smoking prevalence and attributable deaths and are likely to encounter more favor in the Louisiana legislature than increasing the state excise tax.
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Tobacco use is a global problem and the health consequences are far reaching. Systemic approaches are needed to help investigate policies to reduce the adverse health effects of tobacco use. This paper provides an overview of the ...
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Tobacco use is a global problem and the health consequences are far reaching. Systemic approaches are needed to help investigate policies to reduce the adverse health effects of tobacco use. This paper provides an overview of the system dynamics model that has been developed to assist the Ministry of Health to evaluate the dynamic consequences of tobacco control policies in New Zealand. The model consists of six sectors: population; smoking prevalences; tobacco consumption; second hand smoke; relative risks and tobacco attributable deaths. The model is simulated for 20-30 years into the future. The simulation package used is 'iThink', and a user interface is presented for policy analysis. A range of illustrative scenarios are provided, including: business as usual; fiscal strategies involving less affordable cigarettes; harm minimization strategies involving either less addictive cigarettes or less toxic cigarettes and combinations of the above policies. The main output variables (performance measures) include current smoking prevalence, tobacco consumption and tobacco attributable mortality. Finally some areas for future model enhancement are identified.
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Objectives: To examine how expectations of role models concerning smoking and exposure to tobacco control policies are associated with people's support for smoking bans. Methods: Face-to-face interviews were conducted using multis...
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Objectives: To examine how expectations of role models concerning smoking and exposure to tobacco control policies are associated with people's support for smoking bans. Methods: Face-to-face interviews were conducted using multistage sampling. Employed structural equation modeling to examine the relationships and multi-group analysis to compare cross-group difference between smokers and non-smokers. Results: Expectations of role models were found to be significantly associated with support for FCTC policies related to smoking. Policy exposure indirectly relates to policy support. Crossgroup differences between smokers and non-smokers were not significant. Conclusion: Expectations of role models are strong predictors of support for FCTC tobacco control policy among Chinese urban residents; policy exposure is associated with policy support indirectly through the influence of expectations of role models. Policymakers should utilize social roles to promote tobacco control measures.
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BACKGROUND: In efforts to curb and prevent youth smoking, school tobacco policies have become an important and effective strategy. This study explores the degrees and types of tobacco-free school policy (TFSP) enforcement that are...
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BACKGROUND: In efforts to curb and prevent youth smoking, school tobacco policies have become an important and effective strategy. This study explores the degrees and types of tobacco-free school policy (TFSP) enforcement that are associated with adolescent smoking. METHODS: A multilevel analysis was performed using 983 students who are nested in 14 schools. The individual-level data are drawn from the 2009 Michigan Youth Risk Behavior Survey. The school-level data are drawn from the 2008 School Health Profiles survey. RESULTS: Two factors are associated with lower adolescent smoking: greater punishment for TFSP violation and more tobacco control communication efforts. By contrast, the factors associated with higher adolescent smoking are designation of a tobacco-free school zone and school-level smoking. CONCLUSIONS: This study theoretically and methodologically guides researchers to test TFSP effectiveness in other states. Three strategic implications emerge: (1) schools should provide a consistent antismoking message in smoke-free environments; (2) schools should integrate TFSP into a comprehensive tobacco control initiative, including community-wide tobacco control programs and messages; and (3) the way a specific TFSP is promoted and communicated could determine how effective it is.
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We investigate the effect of tobacco control policies on smoking initiation in eleven European countries. Based on individual data about age of onset of smoking, we use hazard rate models to study smoking initiation. Thus, we are ...
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We investigate the effect of tobacco control policies on smoking initiation in eleven European countries. Based on individual data about age of onset of smoking, we use hazard rate models to study smoking initiation. Thus, we are able to take into account observed and unobserved personal characteristics as well as the effect of the introduction of a variety of tobacco control policies including price and and non-price policies, i.e., bans on tobacco advertisements, smoke-free air regulation, health warnings on packages of cigarettes, and treatment programs to help smokers quit smoking. We find that higher tobacco prices have a negative effect on the initiation into smoking for males but not for females. We find no effect of non-price tobacco control policies on smoking initiation.
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Background The evaluation of large-scale public health policy interventions often relies on observational designs where attributing causality is challenging. Logic models—visual representations of an intervention's anticipated ca...
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Background The evaluation of large-scale public health policy interventions often relies on observational designs where attributing causality is challenging. Logic models—visual representations of an intervention's anticipated causal pathway—facilitate the analysis of the most relevant outcomes. We aimed to develop a set of logic models that could be widely used in tobacco policy evaluation. Methods We developed an overarching logic model that reflected the broad categories of outcomes that would be expected following the implementation of tobacco control policies. We subsequently reviewed policy documents to identify the outcomes expected to result from the implementation of each policy and conducted a literature review of existing evaluations to identify further outcomes. The models were revised according to feedbacks from a range of stakeholders. Results The final models represented expected causal pathways for each policy. The models included short-term outcomes (such as policy awareness, compliance and social cognitive outcomes), intermediate outcomes (such as changes in smoking behaviour) and long-term outcomes (such as mortality, morbidity and health service usage). Conclusions The use of logic models enables transparent and theory-based planning of evaluation analyses and should be encouraged in the evaluation of tobacco control policy, as well as other areas of public health.
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The study aims to evaluate the enforcement, opinions, and effectiveness of the University of South Florida's tobacco free policy one year following implementation. By assessing readiness to change and using geographic information ...
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The study aims to evaluate the enforcement, opinions, and effectiveness of the University of South Florida's tobacco free policy one year following implementation. By assessing readiness to change and using geographic information system (GIS) mapping this study sought to introduce a unique and effective way of evaluating college tobacco free policies. A cross-sectional survey was administered to students, faculty, and staff to assess knowledge of policy and resources, tobacco use observations, stage change regarding policy enforcement, self-efficacy to enforce, and policy impact on perceived campus tobacco use (n=5242). Additionally, using ArcGIS Collector (in: ESRI, ArcGIS desktop: release 10, Environmental Systems Research Institute, Redlands, 2011) volunteers collected geospatial data on tobacco use continuing to occur on campus following policy implementation. Overall there was moderate knowledge of the current policy and low beliefs for policy enforcement. Majority of respondents were not approaching violators to remind them of the policy and did not plan to do so in the future. There were statistically significant differences between smokers and non-smokers as well as between students and faculty and staff. The mapping of observed violations revealed continued tobacco use on campus with 158 data points. From both the geospatial results as well as the survey findings, the current policy is ineffective in reducing tobacco use across campus. With rapidly increasing numbers of smoke and tobacco free universities, new and innovative evaluation tools are needed so institution leaders can efficiently evaluate their implementation.
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Aim To develop a simulation model projecting the effect of tobacco control policies in the Netherlands on smoking prevalence and smoking-attributable deaths. Design, setting and participants Netherlands SimSmoke-an adapted version...
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Aim To develop a simulation model projecting the effect of tobacco control policies in the Netherlands on smoking prevalence and smoking-attributable deaths. Design, setting and participants Netherlands SimSmoke-an adapted version of the SimSmoke simulation model of tobacco control policy-uses population, smoking rates and tobacco control policy data for the Netherlands to predict the effect of seven types of policies: taxes, smoke-free legislation, mass media, advertising bans, health warnings, cessation treatment and youth access policies. Measurements Outcome measures were smoking prevalence and smoking-attributable deaths. Findings With a comprehensive set of policies, as recommended by MPOWER, smoking prevalence can be decreased by as much as 21 % in the first year, increasing to a 35% reduction in the next 20 years and almost 40% by 30 years. By 2040, 7706 deaths can be averted in that year alone with the stronger set of policies. Without effective tobacco control policies, almost a million lives will be lost to tobacco-related diseases between 2011 and 2040. Of those, 145 000 can be saved with a comprehensive tobacco control package. Conclusions Smoking prevalence and smoking-attributable deaths in the Netherlands can be reduced substantially through tax increases, smoke-free legislation, high-intensity media campaigns, stronger advertising bans and health warnings, comprehensive cessation treatment and youth access laws. The implementation of these FCTC/MPOWER recommended policies could be expected to show similar or even larger relative reductions in smoking prevalence in other countries which currently have weak policies.
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Motor vehicle safety and tobacco control are among the greatest public health achievements of the 20th century, according to the Centers for Disease Control and Prevention. As the number of miles traveled in the United States mult...
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Motor vehicle safety and tobacco control are among the greatest public health achievements of the 20th century, according to the Centers for Disease Control and Prevention. As the number of miles traveled in the United States multiplied 10 times from the 1920s to the 1990s, the annual motor vehicle crash death rate per vehicle mile traveled decreased by 90%. Similarly, tobacco-related deaths from heart disease, stroke, and cancer were rapidly mounting over the first two thirds of the 20th century. Then, in the last third of the century, tobacco consumption decreased by more than 50%, and rates of heart disease and stroke deaths, and later cancer deaths, declined similarly. This analysis addresses the central question of what lessons can be learned from these success stories that will help public health professionals successfully tackle new and emerging health behavior problems of today and tomorrow? Surveillance, research, multilevel interventions, environmental modifications, and strong policies were key to reducing motor vehicle- and tobacco-related health problems. Generating public support and advocacy, and changing social norms also played critical roles in promoting the safer and smoke-free behaviors. Lessons learned include the need for evidence-based practices and interventions that are ecologically comprehensive with an emphasis on changing environmental determinants and capitalizing on the concept of reciprocal determinism. The analysis concludes with a description of how the PRECEDE-PROCEED planning framework can be used to apply the lessons from motor vehicle safety and tobacco control to other public health threats.
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