Literature DB >> 18236299

Adolescent smoking trajectories and nicotine dependence.

Christina N Lessov-Schlaggar1, Hyman Hops, Janet Brigham, Karen Suchanek Hudmon, Judy A Andrews, Elizabeth Tildesley, Dale McBride, Lisa M Jack, Harold S Javitz, Gary E Swan.   

Abstract

The present study correlates empirically constructed prospective adolescent smoking trajectories with indicators of nicotine dependence assessed in adolescence and in adulthood. Excluding individuals who reported no smoking during repeat assessment (nonadopters), we identified five smoking trajectory groups: experimenters (n=116, 48.5%), late increasers (n=39, 16.3%), early increasers (n=37, 15.5%), quitters (n=22, 9.2%), and persistent smokers (n=25, 10.5%). Higher frequency of nicotine dependence symptoms in adolescence occurred in the quitters and persistent smokers groups, who smoked at higher levels relative to the experimenters, late increasers, and early increasers groups, who reported a similar frequency of nicotine dependence symptoms and smoked at low levels. Lifetime nicotine dependence was assessed in adulthood in lifetime daily smokers using the Fagerström Test for Nicotine Dependence (FTND) and the Nicotine Dependence Scale (NDS). Lifetime FTND levels were similar across trajectory groups. Relative to experimenters, all remaining smoking trajectory groups had higher NDS levels that were similar to one another. These results suggest that higher levels of adolescent nicotine dependence were associated with heavier smoking trajectory groups, and that regardless of trajectory group membership, smoking more than a few cigarettes per week throughout adolescence resulted in similar levels of lifetime nicotine dependence as measured by the FTND and NDS.

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Year:  2008        PMID: 18236299     DOI: 10.1080/14622200701838257

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


  16 in total

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Journal:  AIDS Behav       Date:  2016-08

2.  Reciprocal associations between cigarette consumption and DSM-IV nicotine dependence criteria in adolescent smokers.

Authors:  Mei-Chen Hu; Pamela C Griesler; Melanie M Wall; Denise B Kandel
Journal:  Addiction       Date:  2014-07-16       Impact factor: 6.526

3.  Genetic influences on developmental smoking trajectories.

Authors:  Christina N Lessov-Schlaggar; Sean D Kristjansson; Kathleen K Bucholz; Andrew C Heath; Pamela A F Madden
Journal:  Addiction       Date:  2012-05-08       Impact factor: 6.526

4.  Waterpipe smoking patterns and symptoms of nicotine dependence: The Waterpipe Dependence in Lebanese Youth Study.

Authors:  Raed Bahelah; Joseph R DiFranza; Kenneth D Ward; Thomas Eissenberg; Fouad M Fouad; Ziyad Ben Taleb; Rana Jaber; Wasim Maziak
Journal:  Addict Behav       Date:  2017-06-07       Impact factor: 3.913

5.  How spacing of data collection may impact estimates of substance use trajectories.

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6.  Intergenerational relationships between the smoking patterns of a population-representative sample of US mothers and the smoking trajectories of their children.

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Review 7.  Uncovering multiple pathways to substance use: a comparison of methods for identifying population subgroups.

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Journal:  J Prim Prev       Date:  2010-12

Review 8.  Constitutional mechanisms of vulnerability and resilience to nicotine dependence.

Authors:  N Hiroi; D Scott
Journal:  Mol Psychiatry       Date:  2009-02-24       Impact factor: 15.992

9.  Nondaily smoking patterns in young adulthood.

Authors:  Elizabeth G Klein; Debra H Bernat; Kathleen M Lenk; Jean L Forster
Journal:  Addict Behav       Date:  2013-03-20       Impact factor: 3.913

10.  Sources of cigarettes among adolescent smokers: Free or purchased?

Authors:  Paul Jansen; Traci L Toomey; Toben F Nelson; Lindsey E A Fabian; Kathleen M Lenk; Jean L Forster
Journal:  Am J Health Educ       Date:  2013-01-23
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