Literature DB >> 17978988

Adolescent to emerging adulthood smoking trajectories: when do smoking trajectories diverge, and do they predict early adulthood nicotine dependence?

Nathaniel R Riggs1, Chih-Ping Chou, Chaoyang Li, Mary Ann Pentz.   

Abstract

This study evaluated the adolescent tobacco-use trajectories that predict nicotine dependence in early adulthood and when these trajectories start to diverge. As part of a follow-up to a large prevention trial, the present study evaluated 1,017 individuals from early adolescence (age 12) to early adulthood (age 28). Participants were recruited from eight middle schools in Kansas City, Missouri. Students were entering 6th grade or 7th grade at baseline. Smoking was evaluated at baseline, 6 months, at annual follow-ups through high school, and every 18 months thereafter until age 28. The study goals were to determine (a) whether distinct weekly tobacco-use trajectories could be identified between early adolescence and emerging adulthood (ages 12-24); (b) when during development these trajectories diverged; and (c) which trajectories could predict nicotine dependence in early adulthood (ages 26-28). A four-trajectory mixed model (abstainers, low users, late stable users, and early stable users) demonstrated the best fit to the data. Membership in increasingly high-use trajectories placed participants at greater relative risk for becoming nicotine dependent than did membership in lower-use trajectories. General linear models showed greater weekly cigarette consumption for early stable users as early as the first wave of data collection (age 12) and significant differences among all other trajectories by age 15. The findings support the implementation of smoking prevention programs early in middle or junior high school and suggest that adolescents who are already smoking at least two cigarettes per week by age 12 may benefit from additional addiction prevention efforts.

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Year:  2007        PMID: 17978988     DOI: 10.1080/14622200701648359

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


  71 in total

1.  Electronic Nicotine Delivery Systems (E-cigarette/Vape) use and Co-Occurring Health-Risk Behaviors Among an Ethnically Diverse Sample of Young Adults.

Authors:  H Isabella Lanza; Heather Teeter
Journal:  Subst Use Misuse       Date:  2017-08-04       Impact factor: 2.164

2.  The smoking patterns of women in their forties: their relationship to later osteoporosis.

Authors:  Judith S Brook; Elinor B Balka; Chenshu Zhang
Journal:  Psychol Rep       Date:  2012-04

3.  E-cigarette Use and Subsequent Smoking Frequency Among Adolescents.

Authors:  Jessica L Barrington-Trimis; Grace Kong; Adam M Leventhal; Feifei Liu; Margaret Mayer; Tess Boley Cruz; Suchitra Krishnan-Sarin; Rob McConnell
Journal:  Pediatrics       Date:  2018-11-05       Impact factor: 7.124

4.  Dimensions of impulsive behavior: Predicting contingency management treatment outcomes for adolescent smokers.

Authors:  Arit M Harvanko; Justin C Strickland; Stacey A Slone; Brent J Shelton; Brady A Reynolds
Journal:  Addict Behav       Date:  2018-11-23       Impact factor: 3.913

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

Review 7.  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

8.  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

9.  Adolescent substance use in the multimodal treatment study of attention-deficit/hyperactivity disorder (ADHD) (MTA) as a function of childhood ADHD, random assignment to childhood treatments, and subsequent medication.

Authors:  Brooke S G Molina; Stephen P Hinshaw; L Eugene Arnold; James M Swanson; William E Pelham; Lily Hechtman; Betsy Hoza; Jeffery N Epstein; Timothy Wigal; Howard B Abikoff; Laurence L Greenhill; Peter S Jensen; Karen C Wells; Benedetto Vitiello; Robert D Gibbons; Andrea Howard; Patricia R Houck; Kwan Hur; Bo Lu; Sue Marcus
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2013-02-08       Impact factor: 8.829

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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