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路易斯安那州的烟草政策:来自政策模拟模型SimSmoke对未来烟草控制投资的建议。

Tobacco Policies in Louisiana: Recommendations for Future Tobacco Control Investment from SimSmoke, a Policy Simulation Model.

作者信息

Levy David, Fergus Cristin, Rudov Lindsey, McCormick-Ricket Iben, Carton Thomas

机构信息

Lombardi Comprehensive Cancer Center, Georgetown University, 3300 Whitehaven St., NW, Suite 4100, Washington, DC, 20007, USA.

Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, New Orleans, LA, 70112, USA.

出版信息

Prev Sci. 2016 Feb;17(2):199-207. doi: 10.1007/s11121-015-0587-2.

DOI:10.1007/s11121-015-0587-2
PMID:26314867
Abstract

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.

摘要

尽管实施了烟草控制政策,但路易斯安那州的吸烟负担仍然很重,吸烟导致的死亡人数也居高不下。SimSmoke模型针对现有及扩大(模拟)的烟草控制政策,对这些健康结果进行了预测。SimSmoke模型利用路易斯安那州的人口数据、吸烟率以及各种烟草控制政策措施,来预测吸烟流行率和吸烟导致的死亡人数。该模型始于1993年,预测估计持续到2054年。该模型已根据路易斯安那州现有的吸烟流行率数据进行了验证。降低吸烟流行率最有效的单项政策措施是香烟消费税。然而,预计全面的戒烟治疗政策能挽救的生命最多。多种烟草控制政策相结合能最大程度地降低吸烟流行率和吸烟导致的死亡人数。路易斯安那州现有的消费税在全国排名最低,州立法机构反对进一步提高税率。旨在降低吸烟流行率和相关死亡人数的其他政策措施包括:戒烟治疗、全面的无烟政策以及限制年轻人获取烟草。这三项政策对吸烟流行率和相关死亡人数有重大影响,而且在路易斯安那州立法机构中可能比提高州消费税更受欢迎。

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