Literature DB >> 10937017

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

D T Levy1, K M Cummings, A Hyland.   

Abstract

OBJECTIVES: We developed a simulation model to predict the effects of policies aimed at reducing smoking initiation by youths younger than 18 years.
METHODS: The model projected the number of smokers, never smokers, and ex-smokers by age, sex, and racial/ethnic group and the effects of reductions in youth initiation.
RESULTS: The model predicted that even if tobacco policies eliminated youth initiation, the number of smokers would not be halved for more than 30 years. If initiation were halved and some of the initiation were delayed rather than eliminated, substantially smaller reductions would result.
CONCLUSIONS: Policies that increase cessation rates are needed to reduce the number of current smokers and the more near-term health problems.

Entities:  

Mesh:

Year:  2000        PMID: 10937017      PMCID: PMC1446318          DOI: 10.2105/ajph.90.8.1311

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  22 in total

1.  Age interacts with heaviness of smoking in predicting success in cessation of smoking.

Authors:  R B Coambs; S Li; L T Kozlowski
Journal:  Am J Epidemiol       Date:  1992-02-01       Impact factor: 4.897

2.  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

Review 3.  The 'healthy smoker': a phenomenon of health selection?

Authors:  M R Becklake; U Lalloo
Journal:  Respiration       Date:  1990       Impact factor: 3.580

4.  Racial/Ethnic differences in smoking, drinking, and illicit drug use among American high school seniors, 1976-89.

Authors:  J G Bachman; J M Wallace; P M O'Malley; L D Johnston; C L Kurth; H W Neighbors
Journal:  Am J Public Health       Date:  1991-03       Impact factor: 9.308

5.  Increased levels of cigarette use among college students: a cause for national concern.

Authors:  H Wechsler; N A Rigotti; J Gledhill-Hoyt; H Lee
Journal:  JAMA       Date:  1998-11-18       Impact factor: 56.272

6.  Trends in cigarette smoking in the United States. Educational differences are increasing.

Authors:  J P Pierce; M C Fiore; T E Novotny; E J Hatziandreu; R M Davis
Journal:  JAMA       Date:  1989-01-06       Impact factor: 56.272

7.  Trends in cigarette smoking in the United States. The changing influence of gender and race.

Authors:  M C Fiore; T E Novotny; J P Pierce; E J Hatziandreu; K M Patel; R M Davis
Journal:  JAMA       Date:  1989-01-06       Impact factor: 56.272

8.  Birth cohort analysis of prevalence of cigarette smoking among Hispanics in the United States.

Authors:  L G Escobedo; P L Remington
Journal:  JAMA       Date:  1989-01-06       Impact factor: 56.272

9.  Trends in cigarette smoking in the United States. Projections to the year 2000.

Authors:  J P Pierce; M C Fiore; T E Novotny; E J Hatziandreu; R M Davis
Journal:  JAMA       Date:  1989-01-06       Impact factor: 56.272

10.  A prospective study of asthma in a rural community.

Authors:  E N Schachter; C A Doyle; G J Beck
Journal:  Chest       Date:  1984-05       Impact factor: 9.410

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  22 in total

1.  Bar and club tobacco promotions in the alternative press: targeting young adults.

Authors:  Edward Sepe; Stanton A Glantz
Journal:  Am J Public Health       Date:  2002-01       Impact factor: 9.308

2.  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

3.  Effect of policies directed at youth access to smoking: results from the SimSmoke computer simulation model.

Authors:  D T Levy; K Friend; H Holder; M Carmona
Journal:  Tob Control       Date:  2001-06       Impact factor: 7.552

4.  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

5.  Racial/ethnic differences in cigarette smoking initiation and progression to daily smoking: a multilevel analysis.

Authors:  Denise B Kandel; Gebre-Egziabher Kiros; Christine Schaffran; Mei-Chen Hu
Journal:  Am J Public Health       Date:  2004-01       Impact factor: 9.308

6.  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

7.  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

8.  Boosting population quits through evidence-based cessation treatment and policy.

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

9.  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

10.  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
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