Literature DB >> 11740026

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

D T Levy1, K Friend, E Polishchuk.   

Abstract

OBJECTIVES: To develop a simulation model to examine the effects of clean indoor air laws on prevalence rates and smoking attributable deaths.
METHODS: Based on empirical and theoretical research, the effects of clean air laws are modelled by type of law. The model considers clean air laws at the state levels between 1993 and 2000, and projects the number of smokers and smoking attributable deaths in the USA under different scenarios from 2000 onward.
RESULTS: The model predicts that comprehensive clean air laws have the potential to reduce substantially the number of smokers and smoking attributable deaths, and these effects are predicted to grow over time. The predicted impact of new worksite laws are reduced when previously implemented private and public worksite restrictions are taken into account.
CONCLUSIONS: Clean indoor air laws have the ability to reduce smoking rates substantially and save lives, but their impact is likely to depend on their comprehensiveness and prior private worksite restrictions in place.

Mesh:

Year:  2001        PMID: 11740026      PMCID: PMC1747628          DOI: 10.1136/tc.10.4.345

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  16 in total

1.  The impact of workplace smoking bans: results from a national survey.

Authors:  M C Farrelly; W N Evans; A E Sfekas
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2.  A computer simulation model of mass media interventions directed at tobacco use.

Authors:  D T Levy; K Friend
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Review 3.  Reduced smoking: an introduction and review of the evidence.

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Journal:  Addiction       Date:  2000-01       Impact factor: 6.526

4.  A simulation of the effects of youth initiation policies on overall cigarette use.

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5.  Effect of restrictions on smoking at home, at school, and in public places on teenage smoking: cross sectional study.

Authors:  M A Wakefield; F J Chaloupka; N J Kaufman; C T Orleans; D C Barker; E E Ruel
Journal:  BMJ       Date:  2000-08-05

6.  Increasing taxes as a strategy to reduce cigarette use and deaths: results of a simulation model.

Authors:  D T Levy; K M Cummings; A Hyland
Journal:  Prev Med       Date:  2000-09       Impact factor: 4.018

7.  Predictors of quitting smoking: the NHANES I followup experience.

Authors:  W P McWhorter; G M Boyd; M E Mattson
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

8.  The effects of excise taxes and regulations on cigarette smoking.

Authors:  J Wasserman; W G Manning; J P Newhouse; J D Winkler
Journal:  J Health Econ       Date:  1991-05       Impact factor: 3.883

9.  Workplace compliance with a no-smoking law: a randomized community intervention trial.

Authors:  N A Rigotti; D Bourne; A Rosen; J A Locke; T C Schelling
Journal:  Am J Public Health       Date:  1992-02       Impact factor: 9.308

10.  Helicobacter colonization of the biliary tree: commensal, pathogen, or spurious finding?

Authors:  D C Metz
Journal:  Am J Gastroenterol       Date:  1998-10       Impact factor: 10.864

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  25 in total

1.  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

2.  Association between local indoor smoking ordinances in Massachusetts and cigarette smoking during pregnancy: a multilevel analysis.

Authors:  K H Nguyen; R J Wright; G Sorensen; S V Subramanian
Journal:  Tob Control       Date:  2011-12-13       Impact factor: 7.552

3.  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

4.  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

5.  Relation between local restaurant smoking regulations and attitudes towards the prevalence and social acceptability of smoking: a study of youths and adults who eat out predominantly at restaurants in their town.

Authors:  A B Albers; M Siegel; D M Cheng; L Biener; N A Rigotti
Journal:  Tob Control       Date:  2004-12       Impact factor: 7.552

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

7.  A longitudinal study of policy effect (smoke-free legislation) on smoking norms: ITC Scotland/United Kingdom.

Authors:  Abraham Brown; Crawford Moodie; Gerard Hastings
Journal:  Nicotine Tob Res       Date:  2009-06-18       Impact factor: 4.244

8.  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

9.  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

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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