Literature DB >> 18809130

Adolescent smoking trajectories: results from a population-based cohort study.

Debra H Bernat1, Darin J Erickson, Rachel Widome, Cheryl L Perry, Jean L Forster.   

Abstract

PURPOSE: To identify distinct smoking trajectories during adolescence and assess how smoking-related factors relate to trajectory membership.
METHODS: The sample includes 3637 youth from across the state of Minnesota. Measures include tobacco use, smoking behaviors of parents and friends, youth smoking-related attitudes and beliefs, and home smoking policies. A cohort-sequential design was used to identify smoking trajectories, including five cohorts of youth (ages 12-16) followed for 3 years.
RESULTS: Six distinct trajectories of tobacco use were found: nonsmokers (54%), triers (17%), occasional users (10%), early established (7%), late established (8%), and decliners (4%). Several factors were associated with increased likelihood of being in a smoking trajectory group (vs. the nonsmoking group): parental smoking, friend smoking, greater perceptions of the number of adults and teenagers who smoke, and higher functional meaning of tobacco use. In contrast, higher perceived difficulty smoking in public places, negative perceptions of the tobacco industry, and home smoking policies were associated with less likelihood of being in one of the smoking trajectories (vs. the nonsmoking trajectory).
CONCLUSIONS: Adolescents exhibit diverse patterns of smoking during adolescence and tobacco-related influences were strong predictors of trajectory membership.

Entities:  

Mesh:

Year:  2008        PMID: 18809130      PMCID: PMC2743902          DOI: 10.1016/j.jadohealth.2008.02.014

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  14 in total

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Review 2.  Stages in the development of adolescent smoking.

Authors:  K P Mayhew; B R Flay; J A Mott
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3.  Developmental trajectories of cigarette use from early adolescence into young adulthood.

Authors:  Helene Raskin White; Robert J Pandina; Ping-Hsin Chen
Journal:  Drug Alcohol Depend       Date:  2002-01-01       Impact factor: 4.492

4.  Identifying trajectories of adolescent smoking: an application of latent growth mixture modeling.

Authors:  C R Colder; P Mehta; K Balanda; R T Campbell; K P Mayhew; W R Stanton; M A Pentz; B R Flay
Journal:  Health Psychol       Date:  2001-03       Impact factor: 4.267

5.  A longitudinal study of developmental trajectories to young adult cigarette smoking.

Authors:  Hee-Soon Juon; Margaret E Ensminger; Kim Dobson Sydnor
Journal:  Drug Alcohol Depend       Date:  2002-05-01       Impact factor: 4.492

6.  Pathways through adolescent smoking: a 7-year longitudinal grouping analysis.

Authors:  Stephen Soldz; Xingjia Cui
Journal:  Health Psychol       Date:  2002-09       Impact factor: 4.267

7.  Developmental trajectories of cigarette smoking and their correlates from early adolescence to young adulthood.

Authors:  Maria Orlando; Joan S Tucker; Phyllis L Ellickson; David J Klein
Journal:  J Consult Clin Psychol       Date:  2004-06

8.  Psychosocial predictors of different stages of cigarette smoking among high school students.

Authors:  B R Flay; F B Hu; J Richardson
Journal:  Prev Med       Date:  1998 Sep-Oct       Impact factor: 4.018

9.  Validation of susceptibility as a predictor of which adolescents take up smoking in the United States.

Authors:  J P Pierce; W S Choi; E A Gilpin; A J Farkas; R K Merritt
Journal:  Health Psychol       Date:  1996-09       Impact factor: 4.267

10.  Consequences of declining survey response rates for smoking prevalence estimates.

Authors:  Lois Biener; Catherine A Garrett; Elizabeth A Gilpin; Anthony M Roman; Douglas B Currivan
Journal:  Am J Prev Med       Date:  2004-10       Impact factor: 5.043

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  38 in total

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2.  Continued importance of family factors in youth smoking behavior.

Authors:  E Melinda Mahabee-Gittens; Yang Xiao; Judith S Gordon; Jane C Khoury
Journal:  Nicotine Tob Res       Date:  2012-03-27       Impact factor: 4.244

3.  'Acceptable rebellion': marketing hipster aesthetics to sell Camel cigarettes in the US.

Authors:  Yogi Hendlin; Stacey J Anderson; Stanton A Glantz
Journal:  Tob Control       Date:  2010-06       Impact factor: 7.552

4.  Does Social Support Buffer the Effect of Financial Strain on the Trajectory of Smoking in Older Japanese? A 19-Year Longitudinal Study.

Authors:  Hiroshi Murayama; Joan M Bennett; Benjamin A Shaw; Jersey Liang; Neal Krause; Erika Kobayashi; Taro Fukaya; Shoji Shinkai
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2013-10-04       Impact factor: 4.077

5.  Trajectories of Cigarette Smoking From Teens to Young Adulthood: 2000 to 2013.

Authors:  Kathleen M Lenk; Darin J Erickson; Jean L Forster
Journal:  Am J Health Promot       Date:  2017-03-06

6.  Smoking initiation associated with specific periods in the life course from birth to young adulthood: data from the National Longitudinal Survey of Youth 1997.

Authors:  Xinguang Chen; Angela J Jacques-Tiura
Journal:  Am J Public Health       Date:  2013-12-12       Impact factor: 9.308

7.  The dynamic role of parental influences in preventing adolescent smoking initiation.

Authors:  E Melinda Mahabee-Gittens; Yang Xiao; Judith S Gordon; Jane C Khoury
Journal:  Addict Behav       Date:  2013-01-11       Impact factor: 3.913

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.  Individual- and community-level correlates of cigarette-smoking trajectories from age 13 to 32 in a U.S. population-based sample.

Authors:  Bernard Fuemmeler; Chien-Ti Lee; Krista W Ranby; Trenette Clark; F Joseph McClernon; Chongming Yang; Scott H Kollins
Journal:  Drug Alcohol Depend       Date:  2013-03-15       Impact factor: 4.492

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