Literature DB >> 35229959

Hyperbolic discounting rates and risk for problematic alcohol use in youth enrolled in the Adolescent Brain and Cognitive Development study.

Robert J Kohler1, Sarah D Lichenstein2, Sarah W Yip1,3.   

Abstract

Adolescence is the peak period for the emergence of substance use, which can lead to long-term psychosocial, occupational and interpersonal complications. Ongoing large-scale, longitudinal, consortium initiatives, such as the Adolescent Brain and Cognitive Development (ABCD) study, offer unprecedented opportunities to elucidate key risk factors for problematic substance use in a well-powered sample and to examine how changes in risk factors relate to symptoms across time. Delay discounting has been proposed as a putative risk marker for early substance-use initiation and other forms of psychopathology. However, the extent to which other factors (e.g., socio-economic status and cognitive ability) influence discounting behaviour in young adolescents is not well established. The present study leverages data from the ABCD study (n = 11 045) to assess associations between core demographic and familial variables and delay discounting in youth-operationalized using hyperbolic discounting rates (k)-before the onset of significant psychopathology. Model estimates revealed significant effects of individual difference factors (e.g., sex and socio-economic status) and alcohol risk status (based on family history) on delay discounting. No significant differences were observed in the primary sample when comparing the presence of parent drug problems or prenatal drug exposures. These effects will require replication in later waves of ABCD. Nonetheless, these results provide support for delay discounting as a potential risk marker for problematic alcohol use and demonstrate a relationship between key demographic variables and adolescent discounting behaviour. Further, these results provide an empirical baseline from which developmental trajectories of delay discounting and substance use may be tracked throughout future waves of ABCD.
© 2022 Society for the Study of Addiction.

Entities:  

Keywords:  addiction; computational modelling; decision-making; development; initiation; reward

Mesh:

Year:  2022        PMID: 35229959      PMCID: PMC9289942          DOI: 10.1111/adb.13160

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.093


  39 in total

1.  Personality and alcohol use: the role of impulsivity.

Authors:  Sunny Hyucksun Shin; Hyokyoung Grace Hong; Sae-Mi Jeon
Journal:  Addict Behav       Date:  2011-09-08       Impact factor: 3.913

Review 2.  Adolescent risk taking, impulsivity, and brain development: implications for prevention.

Authors:  Daniel Romer
Journal:  Dev Psychobiol       Date:  2010-04       Impact factor: 3.038

3.  Age differences in future orientation and delay discounting.

Authors:  Laurence Steinberg; Sandra Graham; Lia O'Brien; Jennifer Woolard; Elizabeth Cauffman; Marie Banich
Journal:  Child Dev       Date:  2009 Jan-Feb

4.  Individual differences in delay discounting: relation to intelligence, working memory, and anterior prefrontal cortex.

Authors:  Noah A Shamosh; Colin G Deyoung; Adam E Green; Deidre L Reis; Matthew R Johnson; Andrew R A Conway; Randall W Engle; Todd S Braver; Jeremy R Gray
Journal:  Psychol Sci       Date:  2008-09

5.  Behavioral and neural inhibitory control moderates the effects of reward sensitivity on adolescent substance use.

Authors:  Jungmeen Kim-Spoon; Kirby Deater-Deckard; Christopher Holmes; Jacob Lee; Pearl Chiu; Brooks King-Casas
Journal:  Neuropsychologia       Date:  2016-08-28       Impact factor: 3.139

6.  Delay discounting predicts adolescent substance abuse treatment outcome.

Authors:  Catherine Stanger; Stacy R Ryan; Hongyun Fu; Reid D Landes; Bryan A Jones; Warren K Bickel; Alan J Budney
Journal:  Exp Clin Psychopharmacol       Date:  2011-12-19       Impact factor: 3.157

7.  Greater discounting of delayed rewards in young adults with family histories of alcohol and drug use disorders: studies from the Oklahoma family health patterns project.

Authors:  Ashley Acheson; Andrea S Vincent; Kristen H Sorocco; William R Lovallo
Journal:  Alcohol Clin Exp Res       Date:  2011-05-20       Impact factor: 3.455

Review 8.  Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery.

Authors:  M Luciana; J M Bjork; B J Nagel; D M Barch; R Gonzalez; S J Nixon; M T Banich
Journal:  Dev Cogn Neurosci       Date:  2018-02-21       Impact factor: 6.464

9.  Recalibrating expectations about effect size: A multi-method survey of effect sizes in the ABCD study.

Authors:  Max M Owens; Alexandra Potter; Courtland S Hyatt; Matthew Albaugh; Wesley K Thompson; Terry Jernigan; Dekang Yuan; Sage Hahn; Nicholas Allgaier; Hugh Garavan
Journal:  PLoS One       Date:  2021-09-23       Impact factor: 3.240

Review 10.  The conception of the ABCD study: From substance use to a broad NIH collaboration.

Authors:  Nora D Volkow; George F Koob; Robert T Croyle; Diana W Bianchi; Joshua A Gordon; Walter J Koroshetz; Eliseo J Pérez-Stable; William T Riley; Michele H Bloch; Kevin Conway; Bethany G Deeds; Gayathri J Dowling; Steven Grant; Katia D Howlett; John A Matochik; Glen D Morgan; Margaret M Murray; Antonio Noronha; Catherine Y Spong; Eric M Wargo; Kenneth R Warren; Susan R B Weiss
Journal:  Dev Cogn Neurosci       Date:  2017-10-10       Impact factor: 6.464

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