Literature DB >> 22153225

Predicting persistent alcohol problems: a prospective analysis from the Great Smoky Mountain Study.

W E Copeland1, A Angold, L Shanahan, J Dreyfuss, I Dlamini, E J Costello.   

Abstract

BACKGROUND: Rates of alcohol disorders peak in late adolescence and decrease substantially into the mid-20s. Our aim was to identify risk factors that predict alcohol problems that persist into the mid-20s.
METHOD: Data are from the prospective, population-based Great Smoky Mountains Study (GSMS; n=1420), which followed children through late adolescence and into young adulthood. Alcohol persisters were defined as subjects with an alcohol disorder (abuse or dependence) in late adolescence (ages 19 and 21 years) that continued to meet criteria for an alcohol disorder at the mid-20s assessment.
RESULTS: The 3-month prevalence of having an alcohol disorder (abuse or dependence) decreased markedly from late adolescence into the mid-20s. A third of late adolescents with an alcohol disorder continued to meet criteria for an alcohol disorder in young adulthood (37 of 144 who met criteria in late adolescence). Risk factors for persister status included multiple alcohol abuse criteria during late adolescence but no alcohol dependence criteria. Risk factors for persister status also included associated features of alcohol dependence such as craving alcohol and drinking to unconsciousness. Persister status was also associated with depression, cannabis dependence and illicit substance use, but not with other psychiatric disorders. More than 90% of late adolescents with three or more of the risk factors identified met criteria for a young adult alcohol disorder.
CONCLUSIONS: Symptoms of alcohol abuse, not dependence, best predict long-term persistence of alcohol problems. The set of risk factors identified may be a useful screen for selective and indicated prevention efforts.

Entities:  

Mesh:

Year:  2011        PMID: 22153225      PMCID: PMC3411932          DOI: 10.1017/S0033291711002790

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  39 in total

1.  Risk factors and their relation to initiation of alcohol use among early adolescents.

Authors:  J A Webb; P E Baer; R J Mclaughlin; R S McKelvey; C D Caid
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  1991-07       Impact factor: 8.829

2.  Predictors of cessation of marijuana use: an event history analysis.

Authors:  K Chen; D B Kandel
Journal:  Drug Alcohol Depend       Date:  1998-04-01       Impact factor: 4.492

3.  Types of alcoholics, I. Evidence for an empirically derived typology based on indicators of vulnerability and severity.

Authors:  T F Babor; M Hofmann; F K DelBoca; V Hesselbrock; R E Meyer; Z S Dolinsky; B Rounsaville
Journal:  Arch Gen Psychiatry       Date:  1992-08

4.  Differentiating DSM-IV alcohol dependence and abuse by course: community heavy drinkers.

Authors:  D S Hasin; R Van Rossem; S McCloud; J Endicott
Journal:  J Subst Abuse       Date:  1997

5.  Patterns of DSM-IV alcohol abuse and dependence criteria among adolescents and adults: results from the 2001 National Household Survey on Drug Abuse.

Authors:  Thomas C Harford; Bridget F Grant; Hsiao-Ye Yi; Chiung M Chen
Journal:  Alcohol Clin Exp Res       Date:  2005-05       Impact factor: 3.455

6.  Effectiveness of the derived Alcohol Use Disorders Identification Test (AUDIT-C) in screening for alcohol use disorders and risk drinking in the US general population.

Authors:  Deborah A Dawson; Bridget F Grant; Frederick S Stinson; Yuan Zhou
Journal:  Alcohol Clin Exp Res       Date:  2005-05       Impact factor: 3.455

7.  The Great Smoky Mountains Study of Youth. Goals, design, methods, and the prevalence of DSM-III-R disorders.

Authors:  E J Costello; A Angold; B J Burns; D K Stangl; D L Tweed; A Erkanli; C M Worthman
Journal:  Arch Gen Psychiatry       Date:  1996-12

8.  The three year course of alcohol use disorders in the general population: DSM-IV, ICD-10 and the Craving Withdrawal Model.

Authors:  Carla de Bruijn; Wim van den Brink; Ron de Graaf; Wilma A M Vollebergh
Journal:  Addiction       Date:  2006-03       Impact factor: 6.526

9.  The natural history of drug use from adolescence to the mid-thirties in a general population sample.

Authors:  K Chen; D B Kandel
Journal:  Am J Public Health       Date:  1995-01       Impact factor: 9.308

10.  A test-retest reliability study of child-reported psychiatric symptoms and diagnoses using the Child and Adolescent Psychiatric Assessment (CAPA-C).

Authors:  A Angold; E J Costello
Journal:  Psychol Med       Date:  1995-07       Impact factor: 7.723

View more
  18 in total

1.  Housing instability and alcohol problems during the 2007-2009 US recession: the moderating role of perceived family support.

Authors:  Ryan D Murphy; Sarah E Zemore; Nina Mulia
Journal:  J Urban Health       Date:  2014-02       Impact factor: 3.671

2.  Daily Patterns of Marijuana and Alcohol Co-Use Among Individuals with Alcohol and Cannabis Use Disorders.

Authors:  Jane Metrik; Rachel L Gunn; Kristina M Jackson; Alexander W Sokolovsky; Brian Borsari
Journal:  Alcohol Clin Exp Res       Date:  2018-05-08       Impact factor: 3.455

3.  Longitudinal associations between negative urgency, symptoms of depression, cannabis and alcohol use in veterans.

Authors:  Rachel L Gunn; Angela K Stevens; Lauren Micalizzi; Kristina M Jackson; Brian Borsari; Jane Metrik
Journal:  Exp Clin Psychopharmacol       Date:  2020-03-05       Impact factor: 3.157

4.  Conduct disorder and initiation of substance use: a prospective longitudinal study.

Authors:  Christian Hopfer; Stacy Salomonsen-Sautel; Susan Mikulich-Gilbertson; Sung-Joon Min; Matt McQueen; Thomas Crowley; Susan Young; Robin Corley; Joseph Sakai; Christian Thurstone; Analice Hoffenberg; Christie Hartman; John Hewitt
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2013-04-04       Impact factor: 8.829

5.  Co-use of Alcohol and Cannabis: A Review.

Authors:  Ali M Yurasek; Elizabeth R Aston; Jane Metrik
Journal:  Curr Addict Rep       Date:  2017-04-27

Review 6.  Early life stress and substance use disorders: The critical role of adolescent substance use.

Authors:  Dylan E Kirsch; Elizabeth T C Lippard
Journal:  Pharmacol Biochem Behav       Date:  2022-02-25       Impact factor: 3.533

7.  A longitudinal examination of daily patterns of cannabis and alcohol co-use among medicinal and recreational veteran cannabis users.

Authors:  Rachel Gunn; Kristina Jackson; Brian Borsari; Jane Metrik
Journal:  Drug Alcohol Depend       Date:  2019-10-23       Impact factor: 4.492

8.  Marijuana use in the context of alcohol interventions for mandated college students.

Authors:  Ali M Yurasek; Jennifer E Merrill; Jane Metrik; Mary Beth Miller; Anne C Fernandez; Brian Borsari
Journal:  J Subst Abuse Treat       Date:  2017-05-31

9.  A prospective longitudinal model predicting early adult alcohol problems: evidence for a robust externalizing pathway.

Authors:  A C Edwards; C O Gardner; M Hickman; K S Kendler
Journal:  Psychol Med       Date:  2015-12-16       Impact factor: 7.723

10.  Which adolescents develop persistent substance dependence in adulthood? Using population-representative longitudinal data to inform universal risk assessment.

Authors:  M H Meier; W Hall; A Caspi; D W Belsky; M Cerdá; H L Harrington; R Houts; R Poulton; T E Moffitt
Journal:  Psychol Med       Date:  2015-12-01       Impact factor: 7.723

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.