BACKGROUND: Behavioral disinhibition (externalizing/impulsivity) and behavioral inhibition (internalizing/anxiety) may contribute to the development of alcohol abuse and dependence. But tests of person-by-environment interactions in predicting alcohol use disorders are needed. This study examined the extent to which interactions between behavioral disinhibition, behavioral inhibition and family management during adolescence predict alcohol abuse and alcohol dependence at age 27. METHODS: This study used longitudinal data from a community sample of 808 men and women interviewed from ages 10 to 27 in the Seattle Social Development Project. Zero-order correlations followed by a series of nested regressions examined the relationships between individual characteristics (behavioral disinhibition and behavioral inhibition/anxiety) and environment (good vs. poor family management practices during adolescence) in predicting alcohol abuse and dependence criterion counts at age 27. RESULTS: Behavioral disinhibition and poor family management predicted increased likelihood of both alcohol abuse and alcohol dependence at age 27. Behavioral inhibition/anxiety was unrelated to both outcomes. Youths high in behavioral disinhibition were at increased risk for later alcohol abuse and dependence only in consistently poorly managed family environments. In consistently well-managed families, high levels of behavioral disinhibition did not increase risk for later alcohol abuse or dependence. CONCLUSIONS: Behavioral disinhibition increases risk for alcohol abuse and dependence in early adulthood only for individuals who experience poor family management during adolescence. Interventions seeking to reduce environmental risks by strengthening consistent positive family management practices may prevent later alcohol abuse and dependence among individuals at risk due to behavioral disinhibition. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.
BACKGROUND: Behavioral disinhibition (externalizing/impulsivity) and behavioral inhibition (internalizing/anxiety) may contribute to the development of alcohol abuse and dependence. But tests of person-by-environment interactions in predicting alcohol use disorders are needed. This study examined the extent to which interactions between behavioral disinhibition, behavioral inhibition and family management during adolescence predict alcohol abuse and alcohol dependence at age 27. METHODS: This study used longitudinal data from a community sample of 808 men and women interviewed from ages 10 to 27 in the Seattle Social Development Project. Zero-order correlations followed by a series of nested regressions examined the relationships between individual characteristics (behavioral disinhibition and behavioral inhibition/anxiety) and environment (good vs. poor family management practices during adolescence) in predicting alcohol abuse and dependence criterion counts at age 27. RESULTS: Behavioral disinhibition and poor family management predicted increased likelihood of both alcohol abuse and alcohol dependence at age 27. Behavioral inhibition/anxiety was unrelated to both outcomes. Youths high in behavioral disinhibition were at increased risk for later alcohol abuse and dependence only in consistently poorly managed family environments. In consistently well-managed families, high levels of behavioral disinhibition did not increase risk for later alcohol abuse or dependence. CONCLUSIONS: Behavioral disinhibition increases risk for alcohol abuse and dependence in early adulthood only for individuals who experience poor family management during adolescence. Interventions seeking to reduce environmental risks by strengthening consistent positive family management practices may prevent later alcohol abuse and dependence among individuals at risk due to behavioral disinhibition. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.
Authors: Richard A Grucza; C Robert Cloninger; Kathleen K Bucholz; John N Constantino; Marc I Schuckit; Danielle M Dick; Laura J Bierut Journal: Alcohol Clin Exp Res Date: 2006-07 Impact factor: 3.455
Authors: Mary-Anne Enoch; Lori Schwartz; Bernard Albaugh; Matti Virkkunen; David Goldman Journal: Am J Med Genet B Neuropsychiatr Genet Date: 2006-09-05 Impact factor: 3.568
Authors: Danielle M Dick; Laura Bierut; Anthony Hinrichs; Louis Fox; Kathleen K Bucholz; John Kramer; Samuel Kuperman; Victor Hesselbrock; Marc Schuckit; Laura Almasy; Jay Tischfield; Bernice Porjesz; Henri Begleiter; John Nurnberger; Xiaoling Xuei; Howard J Edenberg; Tatiana Foroud Journal: Behav Genet Date: 2006-03-24 Impact factor: 2.805
Authors: Jennifer A Bailey; Karl G Hill; Meredith C Meacham; Susan E Young; J David Hawkins Journal: Drug Alcohol Depend Date: 2011-06-02 Impact factor: 4.492
Authors: Jill Alexandra Rabinowitz; Rashelle Musci; Adam Milam; Kelly Benke; Danielle Sisto; Nicholas S Ialongo; Brion S Maher; George Uhl; Gail Rosenbaum; Beth Reboussin Journal: J Stud Alcohol Drugs Date: 2019-01 Impact factor: 2.582
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: Marina Epstein; Karl G Hill; Stephanie S Roe; Jennifer A Bailey; William G Iacono; Matt McGue; Allison Kristman-Valente; Richard F Catalano; Kevin P Haggerty Journal: Dev Psychopathol Date: 2016-07-15
Authors: Marina Epstein; Karl G Hill; Alyssa M Nevell; Katarina Guttmannova; Jennifer A Bailey; Robert D Abbott; Rick Kosterman; J David Hawkins Journal: Dev Psychol Date: 2015-09-21
Authors: Marina Epstein; Jennifer A Bailey; Lisa E Manhart; Karl G Hill; J David Hawkins; Kevin P Haggerty; Richard F Catalano Journal: J Adolesc Health Date: 2013-11-23 Impact factor: 5.012
Authors: Meredith C Meacham; Jennifer A Bailey; Karl G Hill; Marina Epstein; J David Hawkins Journal: Drug Alcohol Depend Date: 2013-02-19 Impact factor: 4.492
Authors: Diana R Samek; Jennifer Bailey; Karl G Hill; Sylia Wilson; Susanne Lee; Margaret A Keyes; Marina Epstein; Andrew Smolen; Michael Miller; Ken C Winters; J David Hawkins; Richard F Catalano; William G Iacono; Matt McGue Journal: Behav Genet Date: 2016-07-21 Impact factor: 2.805