» Articles » PMID: 33389431

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

Overview
Journal J Gambl Stud
Date 2021 Jan 3
PMID 33389431
Citations 3
Authors
Affiliations
Soon will be listed here.
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, M = 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.

Citing Articles

Risk and Protective Factors for Gambling Among Youth by origin: Findings from the three waves of cross-sectional Finnish School Health Promotion Study among 238,939 Students.

Raitasalo K, Jarvinen-Tassopoulos J, Rask S, Skogberg N J Gambl Stud. 2024; 40(4):1905-1919.

PMID: 39069598 PMC: 11557615. DOI: 10.1007/s10899-024-10321-7.


Are you a spontaneous traveler? Effect of sensation seeking on tourist planfulness in the mobile era.

Li Q, Xu H, Hu Y Front Psychol. 2022; 13:968548.

PMID: 36033074 PMC: 9400838. DOI: 10.3389/fpsyg.2022.968548.


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

Cena L, Rota M, Trainini A, Zecca S, Bonetti Zappa S, Tralli N JMIR Res Protoc. 2022; 11(2):e33376.

PMID: 35212638 PMC: 8917431. DOI: 10.2196/33376.

References
1.
Andrie E, Tzavara C, Tzavela E, Richardson C, Greydanus D, Tsolia M . Gambling involvement and problem gambling correlates among European adolescents: results from the European Network for Addictive Behavior study. Soc Psychiatry Psychiatr Epidemiol. 2019; 54(11):1429-1441. DOI: 10.1007/s00127-019-01706-w. View

2.
Auger N, Lo E, Cantinotti M, OLoughlin J . Impulsivity and socio-economic status interact to increase the risk of gambling onset among youth. Addiction. 2010; 105(12):2176-83. DOI: 10.1111/j.1360-0443.2010.03100.x. View

3.
Barkley-Levenson E, Van Leijenhorst L, Galvan A . Behavioral and neural correlates of loss aversion and risk avoidance in adolescents and adults. Dev Cogn Neurosci. 2012; 3:72-83. PMC: 6987718. DOI: 10.1016/j.dcn.2012.09.007. View

4.
Bentler P . Comparative fit indexes in structural models. Psychol Bull. 1990; 107(2):238-46. DOI: 10.1037/0033-2909.107.2.238. View

5.
Binde P, Romild U . Self-Reported Negative Influence of Gambling Advertising in a Swedish Population-Based Sample. J Gambl Stud. 2018; 35(2):709-724. PMC: 6517337. DOI: 10.1007/s10899-018-9791-x. View