Literature DB >> 20626071

Adolescent alcohol use trajectories: Predictors and subsequent problems.

Anna-Karin Danielsson1, Peter Wennberg, Anders Tengström, Anders Romelsjö.   

Abstract

This study aimed at identifying different alcohol drinking trajectories in early to late adolescence. We also examined whether certain factors predicted membership of a specific trajectory and to what extent trajectory membership was linked to later negative consequences. Data were drawn from a longitudinal cohort study starting with 1923 adolescents including all seventh grade students in six school districts in Stockholm, Sweden 2001 (age 14), with follow-up in 2002, 2003, and 2006 (age 19). Cluster- and multinomial logistic regression analyses revealed four developmental pathways: low, gradually increasing, high, and suddenly increasing consumption. "High consumers" and "sudden increasers" reported higher levels of alcohol consumption, heavy episodic drinking, and alcohol-related problems both at age 14-16 and at age 19. The "gradual increasers" were more likely to smoke cigarettes, have easy access to alcohol, visit youth recreation centres, have friends who drink, and report a poorer health, compared to the "low consumer/abstainer group". "High consumers" were more likely to have drinking peers than both "low consumers/abstainers" and "gradual increasers".

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Mesh:

Year:  2010        PMID: 20626071     DOI: 10.1016/j.addbeh.2010.05.001

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  29 in total

1.  Moral Disengagement, Anticipated Social Outcomes and Adolescents' Alcohol Use: Parallel Latent Growth Curve Analyses.

Authors:  Catherine A Quinn; Kay Bussey
Journal:  J Youth Adolesc       Date:  2015-08-29

2.  Early risk factors for alcohol use across high school and its covariation with deviant friends.

Authors:  Jeffrey M Armstrong; Paula L Ruttle; Linnea R Burk; Philip R Costanzo; Timothy J Strauman; Marilyn J Essex
Journal:  J Stud Alcohol Drugs       Date:  2013-09       Impact factor: 2.582

3.  Trajectories of Adolescent Alcohol Use: The Effect of Individual and Social Risk Factors by Race.

Authors:  Kayla M Martineau; Emily C Cook
Journal:  J Child Adolesc Subst Abuse       Date:  2017-05-23

4.  Which matters most? Demographic, neuropsychological, personality, and situational factors in long-term marijuana and alcohol trajectories for justice-involved male youth.

Authors:  Sarah W Feldstein Ewing; Francesca M Filbey; Thomas A Loughran; Laurie Chassin; Alex R Piquero
Journal:  Psychol Addict Behav       Date:  2015-06-01

5.  A randomized controlled trial of guided self-change with minority adolescents.

Authors:  Eric F Wagner; Michelle M Hospital; Juliette N Graziano; Staci L Morris; Andrés G Gil
Journal:  J Consult Clin Psychol       Date:  2014-05-19

6.  The Comprehensive Early Drinking History Form: A Novel Measure of Early Alcohol Exposure.

Authors:  Jessica D Hartman; William R Corbin; Laurie Chassin; Leah D Doane
Journal:  Alcohol Clin Exp Res       Date:  2019-02-03       Impact factor: 3.455

7.  Concurrent and Prospective Associations Between Substance-Specific Parenting Practices and Child Cigarette, Alcohol, and Marijuana Use.

Authors:  Jennifer A Bailey; Marina Epstein; Christine M Steeger; Karl G Hill
Journal:  J Adolesc Health       Date:  2018-02-01       Impact factor: 5.012

8.  Does diversity matter? The need for longitudinal research on adolescent alcohol and drug use trajectories.

Authors:  Elizabeth J D'Amico; Joan S Tucker; Regina A Shih; Jeremy N V Miles
Journal:  Subst Use Misuse       Date:  2014-06       Impact factor: 2.164

9.  Predictors of positive drinking outcomes among youth receiving an alcohol brief intervention in the emergency department.

Authors:  Alan K Davis; Brooke J Arterberry; Erin E Bonar; Stephen T Chermack; Frederic C Blow; Rebecca M Cunningham; Maureen A Walton
Journal:  Drug Alcohol Depend       Date:  2018-05-05       Impact factor: 4.492

10.  Alcohol and marijuana use trajectories in a diverse longitudinal sample of adolescents: examining use patterns from age 11 to 17 years.

Authors:  Elizabeth J D'Amico; Joan S Tucker; Jeremy N V Miles; Brett A Ewing; Regina A Shih; Eric R Pedersen
Journal:  Addiction       Date:  2016-06-14       Impact factor: 6.526

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