Literature DB >> 27588534

Adolescent Predictors of a Typology of DSM-5 Alcohol Use Disorder Symptoms in Young Adults Derived by Latent Class Analysis Using Data From an Australian Cohort Study.

Wendy Swift1,2, Tim Slade1,2, Natacha Carragher1,2,3, Carolyn Coffey4, Louisa Degenhardt1,4,5,6, Wayne Hall7,8, George Patton4,9.   

Abstract

OBJECTIVE: There is little research examining alcohol use disorder (AUD) symptoms (based on criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [DSM-5]) in young adulthood. We assessed symptom structure at 24 years using latent class analysis (LCA), examining relationships between class membership and (a) concurrent alcohol use and DSM-5 AUD severity and (b) adolescent risk factors.
METHOD: A stratified, random sample of 1,943 adolescents ages 14-15 years was recruited from 44 secondary schools in Victoria, Australia, and interviewed during adolescence and young adulthood. We report findings on drinkers who completed the AUD module (N = 1,268; 51% male).
RESULTS: Data clearly fit a three-class, dimensional model, comprising "mild symptoms" (63.2%), "moderate symptoms" (32.2%), and "severe symptoms" (4.6%) classes. Class membership was validated by concurrent drinking patterns and in reasonable agreement with DSM-5 AUD severity categories. Relative to mild symptoms class membership, moderate symptoms class membership increased odds of adolescent alcohol problems (odds ratio [OR] = 2.0, 95% CI [1.2, 3.5]) and persisting anxiety/depression symptoms (OR = 1.9, 95% CI [1.2, 3.1]). Daily smoking (OR = 2.6, 95% CI [1.1, 5.9]), persisting anxiety/ depression symptoms (OR = 2.5, 95% CI [1.3, 5.0]), and antisocial behavior (OR = 3.2, 95% CI [1.5, 6.8]) increased odds of severe symptoms class membership. Adolescent daily smoking (OR = 0.3, 95% CI [0.11, 0.81]) and antisocial behavior (OR = 0.3, 95% CI [0.14, 0.64]) were less likely among members of the moderate symptoms class, relative to the severe symptoms class.
CONCLUSIONS: We found support for a dimensional AUD typology like that in DSM-5. Young adults with more severe AUD symptoms had a different adolescent risk profile than those in the low and moderate classes. These findings provide a focus for preventive intervention in adolescence to limit the severity of AUDs in young adulthood.

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Year:  2016        PMID: 27588534     DOI: 10.15288/jsad.2016.77.757

Source DB:  PubMed          Journal:  J Stud Alcohol Drugs        ISSN: 1937-1888            Impact factor:   2.582


  8 in total

1.  Different Characteristics and Heritabilities of Alcohol Use Disorder Classes: A Population-Based Swedish Study.

Authors:  E C Long; H Ohlsson; J Sundquist; K Sundquist; K S Kendler
Journal:  Alcohol Alcohol       Date:  2019-12-01       Impact factor: 2.826

2.  Using Factor Mixture Models to Evaluate the Type A/B Classification of Alcohol Use Disorders in a Heterogeneous Treatment Sample.

Authors:  Tom Hildebrandt; Elizabeth E Epstein; Robyn Sysko; Donald A Bux
Journal:  Alcohol Clin Exp Res       Date:  2017-03-30       Impact factor: 3.455

3.  Transitions through stages of alcohol involvement: The potential role of mood disorders.

Authors:  Rosa M Crum; Kerry M Green; Elizabeth A Stuart; Lareina N La Flair; Marc Kealhofer; Andrea S Young; Noa Krawczyk; Kayla N Tormohlen; Carla L Storr; Anika A H Alvanzo; Ramin Mojtabai; Lauren R Pacek; Bernadette A Cullen; Beth A Reboussin
Journal:  Drug Alcohol Depend       Date:  2018-04-10       Impact factor: 4.492

4.  Heterogeneity in DSM-5 Symptom Criteria: Phenotypes of Alcohol Use Disorder in a Sample Seeking Alcohol Treatment.

Authors:  Junru Zhao; Braden Linn; Clara Bradizza; Joseph Lucke; Melanie Ruszczyk; Paul Stasiewicz
Journal:  Alcohol Alcohol       Date:  2021-10-29       Impact factor: 2.826

5.  Associations of child and adolescent anxiety with later alcohol use and disorders: a systematic review and meta-analysis of prospective cohort studies.

Authors:  Maddy L Dyer; Kayleigh E Easey; Jon Heron; Matthew Hickman; Marcus R Munafò
Journal:  Addiction       Date:  2019-03-19       Impact factor: 6.526

6.  [Changes in hazardous drinking in Spanish adolescent population in the last decade (2004-2013) using a quantitative and qualitative design].

Authors:  Alejandro Pérez-Milena; Manuel de Dios Redondo-Olmedilla; María Luz Martínez-Fernández; Idoia Jiménez-Pulido; Inmaculada Mesa-Gallardo; Francisco Javier Leal-Helmling
Journal:  Aten Primaria       Date:  2017-05-10       Impact factor: 1.137

7.  Dynamic Features of Problematic Drinking: Alcohol Use Disorder Latent Classes Across Ages 18-64.

Authors:  Ashley N Linden-Carmichael; John J Dziak; Stephanie T Lanza
Journal:  Alcohol Alcohol       Date:  2019-01-01       Impact factor: 2.826

8.  The association between early life mental health and alcohol use behaviours in adulthood: A systematic review.

Authors:  Ke Ning; Dawid Gondek; Praveetha Patalay; George B Ploubidis
Journal:  PLoS One       Date:  2020-02-18       Impact factor: 3.240

  8 in total

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