Literature DB >> 15964148

Individual differences in childhood neurobehavior disinhibition predict decision to desist substance use during adolescence and substance use disorder in young adulthood: a prospective study.

Levent Kirisci1, Ralph E Tarter, Maureen Reynolds, Michael Vanyukov.   

Abstract

Genetic, physiological and psychological investigations have demonstrated that deficient inhibitory regulation amplifies the risk for substance use disorder (SUD). This study extends this line of research by determining the association between childhood neurobehavior disinhibition and decision to desist substance use following prevention intervention during adolescence. The sample consisted of 302 boys who were evaluated at ages 10-12, 12-14, 16, and 19. Results indicated that childhood neurobehavior disinhibition negatively covaried with decision to desist substance use during adolescence. These two variables predicted acceleration of drug consumption frequency during adolescence and DSM-IV diagnosis of SUD by age 19. Decision to desist drug use did not mediate the association between neurobehavior disinhibition and substance use/SUD. The findings indicate that substance abuse prevention would be potentiated by ameliorating childhood neurobehavior disinhibition.

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Year:  2005        PMID: 15964148     DOI: 10.1016/j.addbeh.2005.05.049

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  21 in total

1.  Physical maturation, peer environment, and the ontogenesis of substance use disorders.

Authors:  Galina P Kirillova; Michael M Vanyukov; Levent Kirisci; Maureen Reynolds
Journal:  Psychiatry Res       Date:  2008-02-28       Impact factor: 3.222

2.  Correspondence of Pubertal Neuroendocrine and Tanner Stage Changes in Boys and Associations With Substance Use.

Authors:  Kristine Marceau; Levent Kirisci; Ralph E Tarter
Journal:  Child Dev       Date:  2018-05-31

3.  Prevalence and persistence of psychiatric disorders in youth after detention: a prospective longitudinal study.

Authors:  Linda A Teplin; Leah J Welty; Karen M Abram; Mina K Dulcan; Jason J Washburn
Journal:  Arch Gen Psychiatry       Date:  2012-10

4.  Blunted Frontostriatal Blood Oxygen Level-Dependent Signals Predict Stimulant and Marijuana Use.

Authors:  Melanie A Blair; Jennifer L Stewart; April C May; Martina Reske; Susan F Tapert; Martin P Paulus
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-03-21

5.  Delay discounting by adolescents experimenting with cigarette smoking.

Authors:  Brady Reynolds; Sherecce Fields
Journal:  Addiction       Date:  2012-02       Impact factor: 6.526

6.  Changes in self-control problems and attention problems during middle school predict alcohol, tobacco, and marijuana use during high school.

Authors:  Kevin M King; Charles B Fleming; Kathryn C Monahan; Richard F Catalano
Journal:  Psychol Addict Behav       Date:  2011-03

7.  Subtyping patients with heroin addiction at treatment entry: factor derived from the Self-Report Symptom Inventory (SCL-90).

Authors:  Icro Maremmani; Pier Paolo Pani; Matteo Pacini; Jacopo V Bizzarri; Emanuela Trogu; Angelo Gi Maremmani; Gilberto Gerra; Giulio Perugi; Liliana Dell'Osso
Journal:  Ann Gen Psychiatry       Date:  2010-04-13       Impact factor: 3.455

8.  The Violence Proneness Scale of the DUSI-R predicts adverse outcomes associated with substance abuse.

Authors:  Levent Kirisci; Ralph Tarter; Maureen Reynolds
Journal:  Am J Addict       Date:  2009 Mar-Apr

9.  Performance of young adult cannabis users on neurocognitive measures of impulsive behavior and their relationship to symptoms of cannabis use disorders.

Authors:  Raul Gonzalez; Randi Melissa Schuster; Robin J Mermelstein; Jasmin Vassileva; Eileen M Martin; Kathleen R Diviak
Journal:  J Clin Exp Neuropsychol       Date:  2012-08-10       Impact factor: 2.475

10.  Measurement of the risk for substance use disorders: phenotypic and genetic analysis of an index of common liability.

Authors:  Michael M Vanyukov; Levent Kirisci; Lisa Moss; Ralph E Tarter; Maureen D Reynolds; Brion S Maher; Galina P Kirillova; Ty Ridenour; Duncan B Clark
Journal:  Behav Genet       Date:  2009-04-18       Impact factor: 2.805

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