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Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis

  • Nathaniel Haines
  • , Theodore P. Beauchaine
  • , Matthew Galdo
  • , Andrew H. Rogers
  • , Hunter Hahn
  • , Mark A. Pitt
  • , Jay I. Myung
  • , Brandon M. Turner
  • , Woo Young Ahn
  • Ohio State University
  • Seoul National University

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Trait impulsivity—defined by strong preference for immediate over delayed rewards and difficulties inhibiting prepotent behaviors—is observed in all externalizing disorders, including substance-use disorders. Many laboratory tasks have been developed to identify decision-making mechanisms and correlates of impulsive behavior, but convergence between task measures and self-reports of impulsivity are consistently low. Long-standing theories of personality and decision-making predict that neurally mediated individual differences in sensitivity to (a) reward cues and (b) punishment cues (frustrative nonreward) interact to affect behavior. Such interactions obscure one-to-one correspondences between single personality traits and task performance. We used hierarchical Bayesian analysis in three samples with differing levels of substance use (N = 967) to identify interactive dependencies between trait impulsivity and state anxiety on impulsive decision-making. Our findings reveal how anxiety modulates impulsive decision-making and demonstrate benefits of hierarchical Bayesian analysis over traditional approaches for testing theories of psychopathology spanning levels of analysis.

Original languageEnglish
Pages (from-to)1017-1036
Number of pages20
JournalClinical Psychological Science
Volume8
Issue number6
DOIs
StatePublished - Nov 2020

Keywords

  • Bayesian statistics
  • anxiety
  • delay discounting
  • impulsivity
  • open data
  • substance use

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