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Latent Trajectory Classes for Alcohol-Related Blackouts from Age 15 to 19 in ALSPAC

  • Marc A. Schuckit
  • , Tom L. Smith
  • , Jon Heron
  • , Matthew Hickman
  • , John Macleod
  • , Marcus R. Munafo
  • , Kenneth S. Kendler
  • , Danielle M. Dick
  • , George Davey-Smith
  • University of California, San Diego
  • University of Bristol
  • Virginia Commonwealth University

Research output: Contribution to journalArticlepeer-review

38   Link opens in a new tab Citations (SciVal)

Abstract

Background: Alcohol-related blackouts (ARBs) are reported by ~50% of drinkers. While much is known about the prevalence of ARBs in young adults and their cross-sectional correlates, there are few prospective studies regarding their trajectories over time during mid-adolescence. This paper reports latent trajectory classes of ARBs between age 15 and 19, along with predictors of those patterns. 

Methods: Latent class growth analysis (LCGA) was used to evaluate the pattern of occurrence of ARBs across 4 time points for 1,402 drinking adolescents from the Avon Longitudinal Study of Parents and Children (ALSPAC). Multinomial regression analyses evaluated age-15 demography, substance-related items, externalizing characteristics, and estimated peer substance use as predictors of latent class membership. 

Results: ARBs were reported at age 15 in 30% and at age 19 in 74% of these subjects. Four latent trajectory classes were identified: Class 1 (5.1%) reported no blackouts; for Class 2 (29.5%), ARBs rapidly increased with age for Class 3 (44.9%), blackouts slowly increased; and for Class 4 (20.5%), ARBs were consistently reported. Using Class 2 (rapid increasers) as the reference, predictors of class membership included female sex, higher drinking quantities, smoking, externalizing characteristics, and estimated peer substance involvement (pseudo R2 = 0.22). 

Conclusions: ARBs were common and repetitive in these young subjects, and predictors of their trajectories over time involved multiple domains representing diverse characteristics.

Original languageEnglish
Pages (from-to)108-116
Number of pages9
JournalAlcoholism: Clinical and Experimental Research
Volume39
Issue number1
Early online date16 Dec 2014
DOIs
Publication statusPublished - 26 Jan 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Alcohol
  • Blackouts
  • Latent Trajectories
  • Predictors

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Toxicology
  • Psychiatry and Mental health

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