Literature DB >> 15499707

Federal policy mandating safer cigarettes: a hypothetical simulation of the anticipated population health gains or losses.

Tammy O Tengs1, Sajjad Ahmad, Rebecca Moore, Eric Gage.   

Abstract

If manufacturing a safer cigarette is technically possible--an open question--then mandating that tobacco manufacturers improve the safety of cigarettes would likely have both positive and negative implications for the nation's health. On the one hand, removing toxins may reduce the incidence of smoking-related diseases and premature mortality in smokers. On the other hand, smokers might be less inclined to quit, those who have quit might resume the habit, and youth who have never smoked will have one less reason to avoid tobacco use. To assess the expected population health impacts of a legislative or regulatory mandate, we created the Tobacco Policy Model, a system dynamics computer simulation model. The model relies on secondary data and simulates the U.S. population over time spans as long as 50 years. Our simulation results reveal that even if requiring cigarettes to be safer makes smoking more attractive and increases tobacco use, a net gain in population health is still possible.

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Year:  2004        PMID: 15499707     DOI: 10.1002/pam.20051

Source DB:  PubMed          Journal:  J Policy Anal Manage        ISSN: 0276-8739


  16 in total

1.  Exploring scenarios to dramatically reduce smoking prevalence: a simulation model of the three-part cessation process.

Authors:  David T Levy; Patricia L Mabry; Amanda L Graham; C Tracy Orleans; David B Abrams
Journal:  Am J Public Health       Date:  2010-05-13       Impact factor: 9.308

2.  SimSmoke model evaluation of the effect of tobacco control policies in Korea: the unknown success story.

Authors:  David T Levy; Sung-il Cho; Young-Mee Kim; Susan Park; Mee-Kyung Suh; Sin Kam
Journal:  Am J Public Health       Date:  2010-05-13       Impact factor: 9.308

3.  Simulation modeling and tobacco control: creating more robust public health policies.

Authors:  David T Levy; Joseph E Bauer; Hye-Ryeon Lee
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

Review 4.  Simulation models of obesity: a review of the literature and implications for research and policy.

Authors:  D T Levy; P L Mabry; Y C Wang; S Gortmaker; T T-K Huang; T Marsh; M Moodie; B Swinburn
Journal:  Obes Rev       Date:  2010-10-26       Impact factor: 9.213

5.  Raising taxes to reduce smoking prevalence in the US: a simulation of the anticipated health and economic impacts.

Authors:  Sajjad Ahmad; Gregor A Franz
Journal:  Public Health       Date:  2007-07-03       Impact factor: 2.427

Review 6.  Economic evaluation of smoking-cessation therapies: a critical and systematic review of simulation models.

Authors:  Kristian Bolin
Journal:  Pharmacoeconomics       Date:  2012-07-01       Impact factor: 4.981

7.  A systems approach to college drinking: development of a deterministic model for testing alcohol control policies.

Authors:  Richard Scribner; Azmy S Ackleh; Ben G Fitzpatrick; Geoffrey Jacquez; Jeremy J Thibodeaux; Robert Rommel; Neal Simonsen
Journal:  J Stud Alcohol Drugs       Date:  2009-09       Impact factor: 2.582

8.  Translating research into prevention of high-risk behaviors in the presence of complex systems: definitions and systems frameworks.

Authors:  Kriste Hassmiller Lich; Leah Frerichs; Diana Fishbein; Georgiy Bobashev; Mary Ann Pentz
Journal:  Transl Behav Med       Date:  2016-03       Impact factor: 3.046

9.  The role of public policies in reducing smoking prevalence in California: results from the California tobacco policy simulation model.

Authors:  David T Levy; Andrew Hyland; Cheryl Higbee; Lillian Remer; Christine Compton
Journal:  Health Policy       Date:  2006-10-19       Impact factor: 2.980

10.  Russia SimSmoke: the long-term effects of tobacco control policies on smoking prevalence and smoking-attributable deaths in Russia.

Authors:  Galina Ya Maslennikova; Rafael G Oganov; Sergey A Boytsov; Hana Ross; An-Tsun Huang; Aimee Near; Alexey Kotov; Irina Berezhnova; David T Levy
Journal:  Tob Control       Date:  2013-07-12       Impact factor: 7.552

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