Literature DB >> 24986779

Nonmonetary Decision-Making Indices Discriminate Between Different Behavioral Components of Gambling.

Juan F Navas1, Ana Torres2, Raquel Vilar3, Antonio Verdejo-García3,4, Andrés Catena2, José C Perales2.   

Abstract

Recent research has proposed that altered reward and punishment sensitivity, heightened impulsivity, and faulty dynamic decision-making are at the core of disordered gambling. However, each of these traits and cognitive aspects dimensionally vary in the normal population, such that the link between individual differences in these dimensions and gambling use can be ultimately informative to explain disordered gambling. The main aim of the present study was to investigate the contribution of such decision-making-related indices to gambling use parameters in a community sample of college students. Assessment included punishment and reward sensitivity (as measured by the shortened Sensitivity to Punishment and Sensitivity to Reward Questionnaire), impulsivity (as measured by the UPPS-P model and a motor inhibition Go/No-go task), and dynamic decision-making [as measured by the probabilistic reversal learning task (PRLT)]. A structured interview was conducted to explore quantitative aspects of the participants gambling habits (gambling presence, gambling frequency, and average amount of money spent in gambling per unit of time). Our results showed the existence of a decision-making profile of gambling, as it naturally occurs in college students, in which sensation seeking is directly and specifically related to gambling presence (gambling, or not gambling at all), punishment sensitivity is inversely related to gambling frequency, and inflexibility in the PRLT specifically predicts the losses accrued because of gambling. These results are compatible with the idea that sensation seeking and punishment insensitivity could increase exposure to gambling activities, whereas reversal learning inflexibility, in people who already gamble, could boost the risk to accumulate losses.

Entities:  

Keywords:  Decision-making; Gambling; Impulsivity; Reversal learning; Reward and punishment sensitivity

Mesh:

Year:  2015        PMID: 24986779     DOI: 10.1007/s10899-014-9482-1

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  38 in total

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Review 2.  Reinforcement sensitivity theory and personality.

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Journal:  Neurosci Biobehav Rev       Date:  2004-05       Impact factor: 8.989

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4.  Personality, gender, and family history in the prediction of college gambling.

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5.  Response perseveration and ventral prefrontal sensitivity to reward and punishment in male problem gamblers and smokers.

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Journal:  Neuropsychopharmacology       Date:  2008-10-01       Impact factor: 7.853

6.  Cognitive impulsivity in cocaine and heroin polysubstance abusers.

Authors:  Antonio J Verdejo-García; José C Perales; Miguel Pérez-García
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7.  Comparison of impulsivity and working memory in cocaine addiction and pathological gambling: Implications for cocaine-induced neurotoxicity.

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Journal:  Drug Alcohol Depend       Date:  2012-04-03       Impact factor: 4.492

Review 8.  Similarities and differences between pathological gambling and substance use disorders: a focus on impulsivity and compulsivity.

Authors:  Robert F Leeman; Marc N Potenza
Journal:  Psychopharmacology (Berl)       Date:  2011-11-05       Impact factor: 4.530

9.  The relationship between pathological gambling and sensation seeking: the role of subscale scores.

Authors:  Erica E Fortune; Adam S Goodie
Journal:  J Gambl Stud       Date:  2010-09

10.  Emotional and non-emotional pathways to impulsive behavior and addiction.

Authors:  Ana Torres; Andrés Catena; Alberto Megías; Antonio Maldonado; Antonio Cándido; Antonio Verdejo-García; José C Perales
Journal:  Front Hum Neurosci       Date:  2013-02-21       Impact factor: 3.169

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Review 2.  Neural mechanisms regulating different forms of risk-related decision-making: Insights from animal models.

Authors:  Caitlin A Orsini; David E Moorman; Jared W Young; Barry Setlow; Stan B Floresco
Journal:  Neurosci Biobehav Rev       Date:  2015-06-11       Impact factor: 8.989

3.  Decision-Making in Gambling Disorder, Problematic Pornography Use, and Binge-Eating Disorder: Similarities and Differences.

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Journal:  Curr Behav Neurosci Rep       Date:  2020-06-27

4.  A pathway linking reward circuitry, impulsive sensation-seeking and risky decision-making in young adults: identifying neural markers for new interventions.

Authors:  H W Chase; J C Fournier; M A Bertocci; T Greenberg; H Aslam; R Stiffler; J Lockovich; S Graur; G Bebko; E E Forbes; M L Phillips
Journal:  Transl Psychiatry       Date:  2017-04-18       Impact factor: 6.222

5.  Presence of problematic and disordered gambling in older age and validation of the South Oaks Gambling Scale.

Authors:  Roser Granero; Susana Jiménez-Murcia; Fernando Fernández-Aranda; Amparo Del Pino-Gutiérrez; Teresa Mena-Moreno; Gemma Mestre-Bach; Mónica Gómez-Peña; Laura Moragas; Neus Aymamí; Isabelle Giroux; Marie Grall-Bronnec; Anne Sauvaget; Ester Codina; Cristina Vintró-Alcaraz; María Lozano-Madrid; Marco Camozzi; Zaida Agüera; Jéssica Sánchez-González; Gemma Casalé-Salayet; Isabel Sánchez; Hibai López-González; Eduardo Valenciano-Mendoza; Bernat Mora; Isabel Baenas; José M Menchón
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6.  Reconsidering the roots, structure, and implications of gambling motives: An integrative approach.

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Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

7.  Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder.

Authors:  María F Jara-Rizzo; Juan F Navas; Jose A Rodas; José C Perales
Journal:  BMC Psychol       Date:  2020-11-10

8.  Gambling with Rose-Tinted Glasses on: Use of Emotion-Regulation Strategies Correlates with Dysfunctional Cognitions in Gambling Disorder Patients.

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  8 in total

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