Literature DB >> 11277686

A computer simulation model of mass media interventions directed at tobacco use.

D T Levy1, K Friend.   

Abstract

OBJECTIVES: The goal of this study was to develop a simulation model to examine the effects of tobacco control mass media interventions on smoking rates and smoking-attributable deaths.
METHODS: The model projects the number of smokers and smoking-related deaths. Based on empirical and theoretical research, the effects of media interventions, varying in magnitude and duration, directed at all smokers and directed specifically at youth under age 18 are modeled.
RESULTS: The model predicts that sustained media interventions of sufficient magnitude and duration directed at all smokers have the potential to substantially reduce the number of smokers and premature deaths, with the effects growing over time. For the same expenditures, youth interventions would appear to have smaller and more delayed effects.
CONCLUSIONS: Media interventions, particularly those targeted at the general population and of sufficient scale and duration, have the ability to substantially reduce smoking rates and save lives, but their effects are likely to depend on how they are implemented. Copyright 2001 American Health Foundation and Academic Press.

Entities:  

Mesh:

Year:  2001        PMID: 11277686     DOI: 10.1006/pmed.2000.0808

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  19 in total

1.  Effect of clean indoor air laws on smokers: the clean air module of the SimSmoke computer simulation model.

Authors:  D T Levy; K Friend; E Polishchuk
Journal:  Tob Control       Date:  2001-12       Impact factor: 7.552

2.  The use of simulation models for the surveillance, justification and understanding of tobacco control policies.

Authors:  David T Levy; Frank Chaloupka; Joseph Gitchell; David Mendez; Kenneth E Warner
Journal:  Health Care Manag Sci       Date:  2002-04

Review 3.  Development and destruction of the first state funded anti-smoking campaign in the USA.

Authors:  T H Tsoukalas; S A Glantz
Journal:  Tob Control       Date:  2003-06       Impact factor: 7.552

4.  Recent trends in home and work smoking bans.

Authors:  D T Levy; E Romano; E A Mumford
Journal:  Tob Control       Date:  2004-09       Impact factor: 7.552

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

Authors:  David Levy; Cristin Fergus; Lindsey Rudov; Iben McCormick-Ricket; Thomas Carton
Journal:  Prev Sci       Date:  2016-02

6.  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 7.  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

8.  22 years on: the impact and relevance of the UK No Smoking Day.

Authors:  L Owen; B Youdan
Journal:  Tob Control       Date:  2006-02       Impact factor: 7.552

9.  Rating the effectiveness of local tobacco policies for reducing youth smoking.

Authors:  Sharon Lipperman-Kreda; Karen B Friend; Joel W Grube
Journal:  J Prim Prev       Date:  2014-04

10.  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

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