Literature DB >> 25796006

Trait urgency and gambling problems in young people by age: the mediating role of decision-making processes.

Natale Canale1, Alessio Vieno2, Mark D Griffiths3, Enrico Rubaltelli4, Massimo Santinello2.   

Abstract

Although the personality trait of urgency has been linked to problem gambling, less is known about psychological mechanisms that mediate the relationship between urgency and problem gambling. One individual variable of potential relevance to impulsivity and addictive disorders is age. The aims of this study were to examine: (i) a theoretical model associating urgency and gambling problems, (ii) the mediating effects of decision-making processes (operationalized as preference for small/immediate rewards and lower levels of deliberative decision-making); and (iii) age differences in these relationships. Participants comprised 986 students (64% male; mean age=19.51 years; SD=2.30) divided into three groups: 16-17 years, 18-21 years, and 22-25 years. All participants completed measures of urgency, problem gambling, and a delay-discounting questionnaire involving choices between a smaller amount of money received immediately and a larger amount of money received later. Participants were also asked to reflect on their decision-making process. Compared to those aged 16-17 years and 22-25 years, participants aged 18-21 years had a higher level of gambling problems and decreased scores on lower levels of deliberative decision-making. Higher levels of urgency were associated with higher levels of gambling problems. The association was mediated by a lower level of deliberative decision-making and preference for an immediate/small reward. A distinct pathway was observed for lower levels of deliberative decision-making. Young people who tend to act rashly in response to extreme moods, had lower levels of deliberative decision-making, that in turn were positively related to gambling problems. This study highlights unique decision-making pathways through which urgency trait may operate, suggesting that those developing prevention and/or treatment strategies may want to consider the model's variables, including urgency, delay discounting, and deliberative decision-making.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Decision-making; Delay discounting; Gambling; Impulsivity; Urgency

Mesh:

Year:  2015        PMID: 25796006     DOI: 10.1016/j.addbeh.2015.02.020

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


  6 in total

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Authors:  Nassim Tabri; N Will Shead; Michael J A Wohl
Journal:  J Gambl Stud       Date:  2017-12

Review 2.  Is Subtyping of Gamblers Based on the Pathways Model of Problem and Disordered Gambling Valid? A Systematic Review.

Authors:  Adam Kurilla
Journal:  J Gambl Stud       Date:  2021-01-01

3.  "I Am Becoming More and More Like My Eldest Brother!": The Relationship Between Older Siblings, Adolescent Gambling Severity, and the Attenuating Role of Parents in a Large-Scale Nationally Representative Survey Study.

Authors:  Natale Canale; Alessio Vieno; Mark D Griffiths; Valeria Siciliano; Arianna Cutilli; Sabrina Molinaro
Journal:  J Gambl Stud       Date:  2017-06

4.  Steep delay discounting and addictive behavior: a meta-analysis of continuous associations.

Authors:  Michael Amlung; Lana Vedelago; John Acker; Iris Balodis; James MacKillop
Journal:  Addiction       Date:  2016-09-01       Impact factor: 6.526

Review 5.  Delay Discounting in Established and Proposed Behavioral Addictions: A Systematic Review and Meta-Analysis.

Authors:  Sarah Weinsztok; Sarah Brassard; Iris Balodis; Laura E Martin; Michael Amlung
Journal:  Front Behav Neurosci       Date:  2021-11-26       Impact factor: 3.558

6.  Delay Discounting in Gambling Disorder: Implications in Treatment Outcome.

Authors:  Teresa Mena-Moreno; Giulia Testa; Gemma Mestre-Bach; Romina Miranda-Olivos; Rosario Granero; Fernando Fernández-Aranda; José M Menchón; Susana Jiménez-Murcia
Journal:  J Clin Med       Date:  2022-03-14       Impact factor: 4.241

  6 in total

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