Literature DB >> 11567175

Public health impact of changes in smoking behavior: results from the Tobacco Policy Model.

T O Tengs1, N D Osgood, T H Lin.   

Abstract

OBJECTIVES: The relative magnitude of the public health gains from preventing smoking initiation versus encouraging cessation or avoiding relapse in different ages and genders is estimated and compared.
METHODS: Health gains are defined as the predicted increase in Quality-Adjusted Life-Years (QALYs) to the US population during a century. To estimate QALYs, we developed the Tobacco Policy Model. The model simulates a 10% reduction in the annual probability of initiation versus a 10% increase in cessation versus a 10% reduction in relapse in males and females in six age groups: 10 to 19, 20 to 29, 30 to 39, 40 to 49, 50 to 59 and 60 to 69.
RESULTS: Among youth and young adults, reducing initiation yields far more QALYs than encouraging cessation or averting relapse. In middle-aged adults, cessation yields the most QALYs, followed by averting relapse and reducing initiation. In the oldest age group, averting relapse yields the most QALYs followed by cessation and reducing initiation. In general, increasing cessation and reducing relapse is more beneficial in males than in females whereas reducing initiation is more beneficial in females.
CONCLUSIONS: The relative value of preventing initiation, encouraging cessation, and averting relapse differs by age and gender. Reducing initiation in youth is likely to offer the largest public health impact during the next century.

Entities:  

Mesh:

Year:  2001        PMID: 11567175     DOI: 10.1097/00005650-200110000-00010

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  14 in total

1.  The effect of smoking on years of healthy life (YHL) lost among middle-aged and older Americans.

Authors:  Truls Østbye; Donald H Taylor
Journal:  Health Serv Res       Date:  2004-06       Impact factor: 3.402

2.  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

3.  Systems science: a revolution in public health policy research.

Authors:  Patricia L Mabry; Stephen E Marcus; Pamela I Clark; Scott J Leischow; David Méndez
Journal:  Am J Public Health       Date:  2010-07       Impact factor: 9.308

4.  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 5.  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

6.  Assessing and forecasting population health: integrating knowledge and beliefs in a comprehensive framework.

Authors:  Jeroen Van Meijgaard; Jonathan E Fielding; Gerald F Kominski
Journal:  Public Health Rep       Date:  2009 Nov-Dec       Impact factor: 2.792

7.  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

8.  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

9.  Application of a system dynamics model to inform investment in smoking cessation services in New Zealand.

Authors:  Martin I Tobias; Robert Y Cavana; Ashley Bloomfield
Journal:  Am J Public Health       Date:  2010-05-13       Impact factor: 9.308

10.  Preference-weighted health-related quality of life measures and substance use disorder severity.

Authors:  Jeffrey M Pyne; Michael French; Kathryn McCollister; Shanti Tripathi; Richard Rapp; Brenda Booth
Journal:  Addiction       Date:  2008-04-07       Impact factor: 6.526

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