Literature DB >> 16191746

What fraction of young adults are at risk for future smoking, and who are they?

Elizabeth A Gilpin1, Victoria M White, John P Pierce.   

Abstract

Recent evidence indicates that higher smoking rates among young adults in the United States may be related in part to increased initiation during young adulthood. The tobacco industry, restricted from overtly targeting adolescents, appears to be focusing on young adults. Thus it is important to estimate the percentage and identify the characteristics of the young adult population (aged 18-29 years) at risk for future smoking. This group would include all current established smokers (smoked at least 100 cigarettes in their lifetime), current experimenters, former established smokers, and former experimenters at risk for smoking again, as well as never-smokers who do not rule out future smoking. Using data from the population-based 2002 California Tobacco Survey (N = 9,364 young adults aged 18-29 years), we designated groups of young adults at risk and identified factors associated with risk. Altogether, 86.7+/-1.5% of current and former established smokers were at risk for future smoking, and 59.6+/-4.3% of former established smokers were at risk. Over half (52.2+/-2.0%) of all experimenters but only 9.0+/-1.2% of never-smokers were at risk. Overall, 43.0+/-1.2% of the young adult population was at risk. Although different demographic and other factors were associated with risk among former established smokers, experimenters, and never-smokers, three factors were consistently associated in each group: Younger age, not having a smoke-free home, and going to bars and clubs. We conclude that the group of young adults at risk for future smoking is sizable and presents a fertile target for tobacco industry efforts to promote smoking. Counter-efforts might include promotion of smoke-free environments.

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Year:  2005        PMID: 16191746     DOI: 10.1080/14622200500259796

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  28 in total

1.  Motives for smoking in movies affect future smoking risk in middle school students: an experimental investigation.

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2.  Smoking in movies and increased smoking among young adults.

Authors:  Anna V Song; Pamela M Ling; Torsten B Neilands; Stanton A Glantz
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Authors:  Pearl Bader; Heather E Travis; Harvey A Skinner
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4.  Do we believe the tobacco industry lied to us? Association with smoking behavior in a military population.

Authors:  Robert C Klesges; Deborah A Sherrill-Mittleman; Margaret Debon; G Wayne Talcott; Robert J Vanecek
Journal:  Health Educ Res       Date:  2009-06-15

5.  Long-term trends in adolescent and young adult smoking in the United States: metapatterns and implications.

Authors:  David E Nelson; Paul Mowery; Kat Asman; Linda L Pederson; Patrick M O'Malley; Ann Malarcher; Edward W Maibach; Terry F Pechacek
Journal:  Am J Public Health       Date:  2008-04-01       Impact factor: 9.308

6.  College students' exposure to secondhand smoke.

Authors:  Mark Wolfson; Thomas P McCoy; Erin L Sutfin
Journal:  Nicotine Tob Res       Date:  2009-06-10       Impact factor: 4.244

7.  Causes of the decline in cigarette smoking among African American youths from the 1970s to the 1990s.

Authors:  Tyree Oredein; Jonathan Foulds
Journal:  Am J Public Health       Date:  2011-08-18       Impact factor: 9.308

8.  The Impact of a City-Wide Indoor Smoking Ban on Smoking and Drinking Behaviors Across Emerging Adulthood.

Authors:  Jessica Duncan Cance; Anna E Talley; Kim Fromme
Journal:  Nicotine Tob Res       Date:  2015-03-05       Impact factor: 4.244

9.  Social branding to decrease smoking among young adults in bars.

Authors:  Pamela M Ling; Youn Ok Lee; Juliette Hong; Torsten B Neilands; Jeffrey W Jordan; Stanton A Glantz
Journal:  Am J Public Health       Date:  2014-02-13       Impact factor: 9.308

10.  Changes in age trajectories of smoking experimentation during the California Tobacco Control Program.

Authors:  Karen Messer; John P Pierce
Journal:  Am J Public Health       Date:  2009-11-17       Impact factor: 9.308

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