Literature DB >> 15918815

Psychosocial predictors of smoking trajectories during middle and high school.

Lorien Abroms1, Bruce Simons-Morton, Denise L Haynie, Rusan Chen.   

Abstract

AIMS: Little is known about the heterogeneity in and risk factors associated with trajectories of smoking during adolescence. This study aimed to (1) identify smoking trajectories empirically and (2) identify risk factors for trajectory group membership.
DESIGN: Latent growth mixture models were used to identify population smoking trajectories, and logistic regression was used to estimate risk factors for group membership.
SETTING: The participants were drawn from seven middle schools in a Maryland school district. PARTICIPANTS: Participants consisted of 1320 6th graders who were followed to the 9th grade. MEASUREMENTS: Measurements of smoking risk factors were made in the fall of 6th grade and smoking stage was assessed on five different occasions between the fall of 6th and 9th grades.
FINDINGS: Five distinct smoking trajectories were identified. Overall, being female, having friends who smoked, deviance acceptance and outcome expectations were associated with an increased likelihood of being an intender, delayed escalator, early experimenter and early user compared to a never smoker. Additionally, comparisons with never smokers revealed unique identifiers for intenders, early experimenters and early users, but not delayed escalators.
CONCLUSIONS: There is much heterogeneity in the manner in which middle-schoolers progress from having no intention of smoking to becoming smokers. Implications for prevention programs are discussed.

Entities:  

Mesh:

Year:  2005        PMID: 15918815     DOI: 10.1111/j.1360-0443.2005.01090.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  25 in total

1.  Vulnerability to smoking after trying a single cigarette can lie dormant for three years or more.

Authors:  J A Fidler; J Wardle; N Henning Brodersen; M J Jarvis; R West
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2.  Conjoint developmental trajectories of young adult substance use.

Authors:  Kristina M Jackson; Kenneth J Sher; John E Schulenberg
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3.  Adolescent smoking trajectories: results from a population-based cohort study.

Authors:  Debra H Bernat; Darin J Erickson; Rachel Widome; Cheryl L Perry; Jean L Forster
Journal:  J Adolesc Health       Date:  2008-05-29       Impact factor: 5.012

4.  A risk prediction model for smoking experimentation in Mexican American youth.

Authors:  Rajesh Talluri; Anna V Wilkinson; Margaret R Spitz; Sanjay Shete
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-07-25       Impact factor: 4.254

5.  Pushing secondhand smoke and the tobacco industry outside the social norm to reduce adolescent smoking.

Authors:  Anna V Song; Stanton A Glantz
Journal:  J Adolesc Health       Date:  2008-07-31       Impact factor: 5.012

6.  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

7.  The Minnesota Adolescent Community Cohort Study: design and baseline results.

Authors:  Jean Forster; Vincent Chen; Cheryl Perry; John Oswald; Michael Willmorth
Journal:  Prev Sci       Date:  2011-06

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.  Smoking trajectories across high school: sensation seeking and Hookah use.

Authors:  Sarah E Hampson; Elizabeth Tildesley; Judy A Andrews; Maureen Barckley; Missy Peterson
Journal:  Nicotine Tob Res       Date:  2013-01-15       Impact factor: 4.244

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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