Literature DB >> 15598757

Identifying and characterizing adolescent smoking trajectories.

Janet Audrain-McGovern1, Daniel Rodriguez, Kenneth P Tercyak, Jocelyn Cuevas, Kelli Rodgers, Freda Patterson.   

Abstract

Our understanding of longitudinal patterns of adolescent smoking development and the determinants of these patterns is limited. The present study evaluated adolescent smoking trajectories and characterized these trajectories with social, psychological, and behavioral factors in a cohort of adolescents assessed annually from grades 9 to 12. Complete data (smoking practices, novelty seeking, academic performance, substance use, peer smoking, physical activity and sports participation, and tobacco ad receptivity) were available on 968 participants; data were analyzed using latent class growth modeling. Four adolescent smoking trajectories emerged: never smokers, experimenters, earlier/faster smoking adopters, and later/slower smoking adopters. Early adopters were characterized by their high novelty seeking personality, depressive symptoms, poorer academic performance, and receptivity to tobacco advertising, as well as their exposure to other smokers, and use of other substances. Later adopters were characterized quite similarly to the early adopters, although they tended to perform better in school and to be more involved in sports. Experimenters also shared many of these same risk characteristics but to a lesser degree. Overall, never smokers were the most conventional in their profile. These data suggest that there is significant heterogeneity in the timing, rate, and intensity of smoking progression. Adolescent smoking prevention and intervention programs will need to consider this heterogeneity and tailor or enhance attention to risk and protective factors depending on the subpopulation.

Entities:  

Mesh:

Year:  2004        PMID: 15598757

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  74 in total

1.  Gender differences in the relationship between affect and adolescent smoking uptake.

Authors:  Janet Audrain-McGovern; Daniel Rodriguez; Adam M Leventhal
Journal:  Addiction       Date:  2015-01-05       Impact factor: 6.526

2.  Poisson Growth Mixture Modeling of Intensive Longitudinal Data: An Application to Smoking Cessation Behavior.

Authors:  Mariya P Shiyko; Yuelin Li; David Rindskopf
Journal:  Struct Equ Modeling       Date:  2012-01       Impact factor: 6.125

3.  Where is the pleasure in that? Low hedonic capacity predicts smoking onset and escalation.

Authors:  Janet Audrain-McGovern; Daniel Rodriguez; Adam M Leventhal; Jocelyn Cuevas; Kelli Rodgers; Joseph Sass
Journal:  Nicotine Tob Res       Date:  2012-03-01       Impact factor: 4.244

4.  Psychiatric comorbidity in adolescent electronic and conventional cigarette use.

Authors:  Adam M Leventhal; David R Strong; Steve Sussman; Matthew G Kirkpatrick; Jennifer B Unger; Jessica L Barrington-Trimis; Janet Audrain-McGovern
Journal:  J Psychiatr Res       Date:  2015-11-22       Impact factor: 4.791

5.  Impulsivity and cigarette craving among adolescent daily and occasional smokers.

Authors:  Amanda R Mathew; Jessica L Burris; Brett Froeliger; Michael E Saladin; Matthew J Carpenter
Journal:  Addict Behav       Date:  2015-01-30       Impact factor: 3.913

6.  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
Journal:  Tob Control       Date:  2006-06       Impact factor: 7.552

7.  Educational success and adult health: findings from the Chicago longitudinal study.

Authors:  James Topitzes; Olga Godes; Joshua P Mersky; Sudi Ceglarek; Arthur J Reynolds
Journal:  Prev Sci       Date:  2009-06

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.  Initial insight into why physical activity may help prevent adolescent smoking uptake.

Authors:  Janet Audrain-McGovern; Daniel Rodriguez; Jocelyn Cuevas; Joseph Sass
Journal:  Drug Alcohol Depend       Date:  2013-04-09       Impact factor: 4.492

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.