OBJECTIVE: The goal of this study was to identify predictors of problematic young adult alcohol use. METHOD: The sample consisted of 141 subjects (81 females) participating in a national study of genetic risk factors for alcoholism. All subjects were evaluated first as children or adolescents, then approximately 5 years later as young adults. Outcome consisted of the number of alcohol symptoms (0-10) endorsed at this second time point. Predictors of outcome were drawn from five domains representing: (1) Demographic Characteristics, (2) Child/Adolescent Problematic Alcohol Use, (3) Biological Risk, (4) Externalizing Behaviors, and (5) Family Environment. A two-stage analytic strategy was used in which (1) separate multiple regression analyses were conducted within each of the five domains and (2) statistically significant predictors of problematic alcohol use from each domain were combined into one regression model to determine which remained significant. RESULTS: In the final model, 31% of the variance in the number of alcohol symptoms in young adulthood was predicted by a high number of alcohol symptoms in childhood and adolescence, low initial sensitivity to alcohol, and a negative child/adolescent relationship with the father. CONCLUSIONS: These results demonstrated that GABRA2--originally associated with a diagnosis of alcohol dependence in adults--also predicted the onset of symptoms among subjects in their 20s, confirmed specific hypotheses about three other predictors in the fi nal model, and suggested the utility of incorporating biological and nonbiological predictors to optimally predict young adult alcohol problems.
OBJECTIVE: The goal of this study was to identify predictors of problematic young adult alcohol use. METHOD: The sample consisted of 141 subjects (81 females) participating in a national study of genetic risk factors for alcoholism. All subjects were evaluated first as children or adolescents, then approximately 5 years later as young adults. Outcome consisted of the number of alcohol symptoms (0-10) endorsed at this second time point. Predictors of outcome were drawn from five domains representing: (1) Demographic Characteristics, (2) Child/Adolescent Problematic Alcohol Use, (3) Biological Risk, (4) Externalizing Behaviors, and (5) Family Environment. A two-stage analytic strategy was used in which (1) separate multiple regression analyses were conducted within each of the five domains and (2) statistically significant predictors of problematic alcohol use from each domain were combined into one regression model to determine which remained significant. RESULTS: In the final model, 31% of the variance in the number of alcohol symptoms in young adulthood was predicted by a high number of alcohol symptoms in childhood and adolescence, low initial sensitivity to alcohol, and a negative child/adolescent relationship with the father. CONCLUSIONS: These results demonstrated that GABRA2--originally associated with a diagnosis of alcohol dependence in adults--also predicted the onset of symptoms among subjects in their 20s, confirmed specific hypotheses about three other predictors in the fi nal model, and suggested the utility of incorporating biological and nonbiological predictors to optimally predict young adult alcohol problems.
Authors: S Kuperman; S S Schlosser; J R Kramer; K Bucholz; V Hesselbrock; T Reich; W Reich Journal: Am J Psychiatry Date: 2001-12 Impact factor: 18.112
Authors: Danielle M Dick; Fazil Aliev; Jen C Wang; Richard A Grucza; Marc Schuckit; Samuel Kuperman; John Kramer; Anthony Hinrichs; Sarah Bertelsen; John P Budde; Victor Hesselbrock; Bernice Porjesz; Howard J Edenberg; Laura Jean Bierut; Alison Goate Journal: Arch Gen Psychiatry Date: 2008-03
Authors: Aruna Gogineni; Serena King; Kristina Jackson; John Kramer; Kathleen Bucholz; Grace Chan; William Iacono; Samuel Kuperman; Jenny M Larkins; Richard Longabaugh; Matt McGue; Linnea Polgreen; Kenneth J Sher; Robert Stout; David Strong; Robert Woolard Journal: Alcohol Clin Exp Res Date: 2006-02 Impact factor: 3.455
Authors: Jungeun Olivia Lee; Karl G Hill; Katarina Guttmannova; Lacey A Hartigan; Richard F Catalano; J David Hawkins Journal: J Stud Alcohol Drugs Date: 2014-07 Impact factor: 2.582
Authors: Tiebing Liang; Mark W Kimpel; Jeanette N McClintick; Ashley R Skillman; Kevin McCall; Howard J Edenberg; Lucinda G Carr Journal: Genome Biol Date: 2010-02-03 Impact factor: 13.583