Literature DB >> 18414175

The Kentucky SimSmoke tobacco policy simulation model: reaching Healthy People 2010 goals through policy change.

David T Levy1, Cindy Tworek, Ellen J Hahn, RaeAnne E Davis.   

Abstract

OBJECTIVES: Healthy People (HP) 2010 has a goal of reducing adult smoking prevalence to 12% by 2010. Kentucky, with the highest adult smoking rates (28.7% versus a US average of 20.9%) and weak tobacco control policies, has the potential to reduce smoking by implementing stricter policies.
METHODS: The SimSmoke tobacco control policy model is applied to Kentucky, validated over 1993 to 2003. Smoking prevalence evolves over time through initiation and cessation, as behaviors influenced by tobacco control policies.
RESULTS: SimSmoke predicts well over the pre-2007 period, including larger annual decreases in latter years. With policies suggested by HP 2010 goals, smoking prevalence is projected to fall to about 19% by 2011 and 14% by 2026; more than 17,000 smoking-attributable deaths would be avoided by 2026.
CONCLUSIONS: SimSmoke suggests policies can have a large impact on smoking rates and save lives in Kentucky. If HP 2010 goals will be met, states such as Kentucky need to implement strong tobacco control policies.

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Year:  2008        PMID: 18414175     DOI: 10.1097/SMJ.0b013e31816c013c

Source DB:  PubMed          Journal:  South Med J        ISSN: 0038-4348            Impact factor:   0.954


  13 in total

1.  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

2.  Reaching Healthy People 2010 by 2013: A SimSmoke simulation.

Authors:  David T Levy; Patricia L Mabry; Amanda L Graham; C Tracy Orleans; David B Abrams
Journal:  Am J Prev Med       Date:  2010-03       Impact factor: 5.043

3.  Enhancing dissemination and implementation research using systems science methods.

Authors:  Jessica G Burke; Kristen Hassmiller Lich; Jennifer Watling Neal; Helen I Meissner; Michael Yonas; Patricia L Mabry
Journal:  Int J Behav Med       Date:  2015-06

4.  Modeling the future effects of a menthol ban on smoking prevalence and smoking-attributable deaths in the United States.

Authors:  David T Levy; Jennifer L Pearson; Andrea C Villanti; Kenneth Blackman; Donna M Vallone; Raymond S Niaura; David B Abrams
Journal:  Am J Public Health       Date:  2011-05-12       Impact factor: 9.308

5.  The role of public policies in reducing smoking prevalence: results from the Michigan SimSmoke tobacco policy simulation model.

Authors:  David T Levy; An-Tsun Huang; Joshua S Havumaki; Rafael Meza
Journal:  Cancer Causes Control       Date:  2016-03-17       Impact factor: 2.506

6.  The US SimSmoke tobacco control policy model of smokeless tobacco and cigarette use.

Authors:  David T Levy; Zhe Yuan; Yameng Li
Journal:  BMC Public Health       Date:  2018-06-05       Impact factor: 3.295

7.  Rural print media portrayal of secondhand smoke and smoke-free policy.

Authors:  Donald W Helme; Mary Kay Rayens; Sarah E Kercsmar; Sarah M Adkins; Shelby J Amundsen; Erin Lee; Carol A Riker; Ellen J Hahn
Journal:  Health Promot Pract       Date:  2011-04-01

8.  Estimating the Potential Impact of Tobacco Control Policies on Adverse Maternal and Child Health Outcomes in the United States Using the SimSmoke Tobacco Control Policy Simulation Model.

Authors:  David Levy; Mary Katherine Mohlman; Yian Zhang
Journal:  Nicotine Tob Res       Date:  2015-09-18       Impact factor: 4.244

9.  The Minnesota SimSmoke Tobacco Control Policy Model of Smokeless Tobacco and Cigarette Use.

Authors:  David T Levy; Zhe Yuan; Yameng Li; Ann W St Claire; Barbara A Schillo
Journal:  Am J Prev Med       Date:  2019-10       Impact factor: 5.043

10.  The role of public policies in reducing smoking: the Minnesota SimSmoke tobacco policy model.

Authors:  David T Levy; Raymond G Boyle; David B Abrams
Journal:  Am J Prev Med       Date:  2012-11       Impact factor: 5.043

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