Literature DB >> 33389431

Using the Risk-Return Model to Explain Gambling Disorder Symptoms in Youth: An Empirical Investigation with Italian Adolescents.

Maria Anna Donati1, Joshua Weller2,3, Caterina Primi4.   

Abstract

Historically, individual differences research has sought to explain problem-gambling severity in adolescence by means of unitary "risk-taking" traits, such as sensation seeking and impulsivity, implying that these personality traits account for risk-taking tendencies across different types of behaviors and situations. However, increasing empirical evidence suggests that risk taking seems to be better conceptualized as a domain-specific construct. In the current study, we adopted a psychological risk-return framework, which posits that perceptions of perceived risks and benefits predict gambling risk attitudes, which in turn, account for variance in Gambling Disorder (GD) symptoms in adolescents. The study involved 296 Italian adolescents (68% boys, Mage = 17.76, SD = 1.17). Participants completed the risk-taking, risk perception, and expected benefits scales from the Adolescent Domain Specific Risk Taking (DOSPERT) scale (Barkley-Levenson et al. in Dev Cognitive Neurosci 3: 72-83, 2013), as well as the Gambling Behavior Scale for Adolescents (GBS-A; as reported (Primi et al. in Gambling Behavior Scale for Adolescents in, Hogrefe, Florence, 2015) were administered. Consistent with predictions, risk-taking scores for the Gambling domain predicted adolescent gambling outcomes, relative to the other DOSPERT risk-domains (Ethical, Health/Safety, Recreational, Social). Additionally, we found that greater Gambling risk perceptions were associated with lower risk-taking scores, whereas greater perceived expected benefits were associated with higher risk-taking scores. Moreover, we found significant indirect effects between perceived risks and benefits and problem-gambling severity, mediated via Gambling risk-taking scores, though expected benefits demonstrated a stronger indirect effect. These results have important implications for practice as they emphasize that specific interventions aimed at preventing problem gambling in adolescents should address their perceptions about gambling benefits.

Entities:  

Keywords:  Adolescence; DOSPERT; Domain-specific risk taking; GBS-A; Gambling; Path analysis; Risk-return model

Year:  2021        PMID: 33389431     DOI: 10.1007/s10899-020-09992-9

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


  40 in total

1.  Wagering the future: Cognitive distortions, impulsivity, delay discounting, and time perspective in adolescent gambling.

Authors:  Marina Cosenza; Giovanna Nigro
Journal:  J Adolesc       Date:  2015-09-10

2.  It's not what you know, but how you use it: statistical knowledge and adolescent problem gambling.

Authors:  Paul Delfabbro; Julie Lahn; Peter Grabosky
Journal:  J Gambl Stud       Date:  2006-07-25

3.  Knowledge and beliefs about gambling in Australian secondary school students and their implications for education strategies.

Authors:  Paul Delfabbro; Chrisi Lambos; Daniel King; Stan Puglies
Journal:  J Gambl Stud       Date:  2009-08-04

4.  Gambling involvement and problem gambling correlates among European adolescents: results from the European Network for Addictive Behavior study.

Authors:  Elisabeth K Andrie; Chara K Tzavara; Eleni Tzavela; Clive Richardson; Donald Greydanus; Maria Tsolia; Artemis K Tsitsika
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2019-05-06       Impact factor: 4.328

5.  Behavioral and neural correlates of loss aversion and risk avoidance in adolescents and adults.

Authors:  Emily E Barkley-Levenson; Linda Van Leijenhorst; Adriana Galván
Journal:  Dev Cogn Neurosci       Date:  2012-09-27       Impact factor: 6.464

6.  Comparative fit indexes in structural models.

Authors:  P M Bentler
Journal:  Psychol Bull       Date:  1990-03       Impact factor: 17.737

7.  How do impulsivity traits influence problem gambling through gambling motives? The role of perceived gambling risk/benefits.

Authors:  Natale Canale; Alessio Vieno; Mark D Griffiths; Enrico Rubaltelli; Massimo Santinello
Journal:  Psychol Addict Behav       Date:  2015-03-02

8.  Impulsivity and socio-economic status interact to increase the risk of gambling onset among youth.

Authors:  Nathalie Auger; Ernest Lo; Michael Cantinotti; Jennifer O'Loughlin
Journal:  Addiction       Date:  2010-09-15       Impact factor: 6.526

Review 9.  Self-Reported Negative Influence of Gambling Advertising in a Swedish Population-Based Sample.

Authors:  Per Binde; Ulla Romild
Journal:  J Gambl Stud       Date:  2019-06

Review 10.  Prevalence of Adolescent Problem Gambling: A Systematic Review of Recent Research.

Authors:  Filipa Calado; Joana Alexandre; Mark D Griffiths
Journal:  J Gambl Stud       Date:  2017-06
View more
  1 in total

1.  Investigating Adolescents' Video Gaming and Gambling Activities, and Their Relationship With Behavioral, Emotional, and Social Difficulties: Protocol for a Multi-Informant Study.

Authors:  Loredana Cena; Matteo Rota; Alice Trainini; Sara Zecca; Sofia Bonetti Zappa; Nella Tralli; Alberto Stefana
Journal:  JMIR Res Protoc       Date:  2022-02-25
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.