Adolescent Alcohol Use Trajectories: Risk Factors and Adult Outcomes

Author:

Yuen Wing See1,Chan Gary2,Bruno Raimondo13,Clare Philip1,Mattick Richard1,Aiken Alexandra1,Boland Veronica1,McBride Nyanda4,McCambridge Jim5,Slade Tim6,Kypri Kypros7,Horwood John8,Hutchinson Delyse191011,Najman Jake12,De Torres Clara1,Peacock Amy13

Affiliation:

1. National Drug and Alcohol Research Centre, University of New South Wales Sydney, Sydney, New South Wales, Australia;

2. National Centre for Youth Substance Use Research and

3. School of Psychological Sciences, University of Tasmania, Hobart, Tasmania, Australia;

4. National Drug Research Institute, Curtin University, Perth, Western Australia, Australia;

5. Department of Health Sciences, University of York, York, United Kingdom;

6. The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia;

7. School of Medicine and Public Health, The University of Newcastle, Newcastle, New South Wales, Australia;

8. Department of Psychological Medicine, University of Otago, Christchurch, New Zealand;

9. Centre for Social and Early Emotional Development, Deakin University, Geelong, Victoria, Australia;

10. Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia; and

11. Murdoch Children’s Research Institute, Royal Children's Hospital, The University of Melbourne, Victoria, Australia

12. School of Public Health, The University of Queensland, Brisbane, Queensland, Australia;

Abstract

OBJECTIVES: Adolescents often display heterogenous trajectories of alcohol use. Initiation and escalation of drinking may be important predictors of later harms, including alcohol use disorder (AUD). Previous conceptualizations of these trajectories lacked adjustment for known confounders of adolescent drinking, which we aimed to address by modeling dynamic changes in drinking throughout adolescence while adjusting for covariates. METHODS: Survey data from a longitudinal cohort of Australian adolescents (n = 1813) were used to model latent class alcohol use trajectories over 5 annual follow-ups (mean age = 13.9 until 17.8 years). Regression models were used to determine whether child, parent, and peer factors at baseline (mean age = 12.9 years) predicted trajectory membership and whether trajectories predicted self-reported symptoms of AUD at the final follow-up (mean age = 18.8 years). RESULTS: We identified 4 classes: abstaining (n = 352); late-onset moderate drinking (n = 503); early-onset moderate drinking (n = 663); and early-onset heavy drinking (n = 295). Having more alcohol-specific household rules reduced risk of early-onset heavy drinking compared with late-onset moderate drinking (relative risk ratio: 0.31; 99.5% confidence interval [CI]: 0.11–0.83), whereas having more substance-using peers increased this risk (relative risk ratio: 3.43; 99.5% CI: 2.10–5.62). Early-onset heavy drinking increased odds of meeting criteria for AUD in early adulthood (odds ratio: 7.68; 99.5% CI: 2.41–24.47). CONCLUSIONS: Our study provides evidence that parenting factors and peer influences in early adolescence should be considered to reduce risk of later alcohol-related harm. Early initiation and heavy alcohol use throughout adolescence are associated with increased risk of alcohol-related harm compared with recommended maximum levels of consumption (late-onset, moderate drinking).

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology, and Child Health

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