Literature DB >> 29435822

Do Simulated Gambling Activities Predict Gambling with Real Money During Adolescence? Empirical Findings from a Longitudinal Study.

Tobias Hayer1, Jens Kalke2, Gerhard Meyer3, Tim Brosowski3.   

Abstract

As technology has developed, the international gambling market has changed markedly in recent years. The supply of internet-based gambling opportunities has become ever more significant. At the same time, the introduction of new gambling opportunities always brings a demand for evidence-based scientific evaluation, with regard to the associated risks of addiction. Simulated internet gambling, which is the focus of this study, represents a relatively new product group located at the interface between gambling and computer gaming. Concerns have been raised in scientific literature, especially with regard to the adolescent age group, as to whether participation in simulated internet gambling directly promotes recruitment to the world of monetary gambling, as defined in the gateway hypothesis. The research design was based on a standardized, representative longitudinal survey (over a 1-year period) with a total of 1178 school pupils from Northern Germany (M = 13.6 years; 47.5% male). It must be borne in mind that 12% of the adolescents belonged to the subgroup of "onset gamblers" and first reported experience with monetary gambling at the second stage of surveying. Logistic regression analysis demonstrates that this migration process is fostered by (1) participation from home in simulated gambling on social networks and (2) significant exposure to advertising (relating to both simulated and monetary gambling). Within the subgroup of simulated internet gamblers, variables such as particular patterns of use (including breadth and depth of involvement with simulated internet gambling, certain motives for participation, and microtransactions) do not serve as significant predictors. Despite this, important needs for action for the purposes of prevention and research can be identified.

Keywords:  Adolescence; Gambling onset; Longitudinal study; Predictors; School survey; Simulated gambling

Mesh:

Year:  2018        PMID: 29435822     DOI: 10.1007/s10899-018-9755-1

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


  19 in total

Review 1.  The convergence of gambling and digital media: implications for gambling in young people.

Authors:  Daniel King; Paul Delfabbro; Mark Griffiths
Journal:  J Gambl Stud       Date:  2009-09-16

2.  An international consensus for assessing internet gaming disorder using the new DSM-5 approach.

Authors:  Nancy M Petry; Florian Rehbein; Douglas A Gentile; Jeroen S Lemmens; Hans-Jürgen Rumpf; Thomas Mößle; Gallus Bischof; Ran Tao; Daniel S S Fung; Guilherme Borges; Marc Auriacombe; Angels González Ibáñez; Philip Tam; Charles P O'Brien
Journal:  Addiction       Date:  2014-01-23       Impact factor: 6.526

3.  Exposure to Free-Play Modes in Simulated Online Gaming Increases Risk-Taking in Monetary Gambling.

Authors:  Tahnee Frahn; Paul Delfabbro; Daniel L King
Journal:  J Gambl Stud       Date:  2015-12

4.  Exposure to Gambling Advertisements and Gambling Behavior in Young People.

Authors:  Franziska Clemens; Reiner Hanewinkel; Matthis Morgenstern
Journal:  J Gambl Stud       Date:  2017-03

Review 5.  An Exploration of How Simulated Gambling Games May Promote Gambling with Money.

Authors:  Tess Armstrong; Matthew Rockloff; Matthew Browne; En Li
Journal:  J Gambl Stud       Date:  2018-12

6.  Internet gambling and risk-taking among students: An exploratory study.

Authors:  Jessica Mcbride; Jeffrey Derevensky
Journal:  J Behav Addict       Date:  2012-06       Impact factor: 6.756

7.  Do Social Casino Gamers Migrate to Online Gambling? An Assessment of Migration Rate and Potential Predictors.

Authors:  Hyoun S Kim; Michael J A Wohl; Melissa M Salmon; Rina Gupta; Jeffrey Derevensky
Journal:  J Gambl Stud       Date:  2015-12

8.  Who Pays to Play Freemium Games? The Profiles and Motivations of Players Who Make Purchases Within Social Casino Games.

Authors:  Sally M Gainsbury; Daniel L King; Alex M T Russell; Paul Delfabbro
Journal:  J Behav Addict       Date:  2016-06-16       Impact factor: 6.756

9.  From the mouths of social media users: A focus group study exploring the social casino gaming-online gambling link.

Authors:  Hyoun S Kim; Michael J A Wohl; Rina Gupta; Jeffrey Derevensky
Journal:  J Behav Addict       Date:  2016-03       Impact factor: 6.756

10.  The cost of virtual wins: An examination of gambling-related risks in youth who spend money on social casino games.

Authors:  Daniel L King; Alex Russell; Sally Gainsbury; Paul H Delfabbro; Nerilee Hing
Journal:  J Behav Addict       Date:  2016-09-20       Impact factor: 6.756

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  8 in total

1.  Exposure to gambling promotions and gambling behaviours in Australian secondary school students.

Authors:  Natasha Noble; Megan Freund; David Hill; Victoria White; Lucy Leigh; David Lambkin; Maree Scully; Robert Sanson-Fisher
Journal:  Addict Behav Rep       Date:  2022-06-13

2.  A Longitudinal Analysis of Gambling Predictors among Adolescents.

Authors:  Álvaro Botella-Guijarro; Daniel Lloret-Irles; José Vicente Segura-Heras; Víctor Cabrera-Perona; Juan Antonio Moriano
Journal:  Int J Environ Res Public Health       Date:  2020-12-11       Impact factor: 3.390

3.  Between two worlds: Exploring esports betting in relation to problem gambling, gaming, and mental health problems.

Authors:  Loredana Marchica; Jérémie Richard; Devin Mills; William Ivoska; Jeffrey Derevensky
Journal:  J Behav Addict       Date:  2021-08-25       Impact factor: 6.756

4.  Adolescents Who Play and Spend Money in Simulated Gambling Games Are at Heightened Risk of Gambling Problems.

Authors:  Nerilee Hing; Cassandra K Dittman; Alex M T Russell; Daniel L King; Matthew Rockloff; Matthew Browne; Philip Newall; Nancy Greer
Journal:  Int J Environ Res Public Health       Date:  2022-08-26       Impact factor: 4.614

5.  No effect of short term exposure to gambling like reward systems on post game risk taking.

Authors:  Nicholas J D'Amico; Aaron Drummond; Kristy de Salas; Ian Lewis; Callan Waugh; Breanna Bannister; James D Sauer
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

6.  Factors associated with social casino gaming among adolescents across game types.

Authors:  Livia Veselka; Rochelle Wijesingha; Scott T Leatherdale; Nigel E Turner; Tara Elton-Marshall
Journal:  BMC Public Health       Date:  2018-10-11       Impact factor: 3.295

Review 7.  A Literature Review and Gap Analysis of Emerging Technologies and New Trends in Gambling.

Authors:  Sharon Lawn; Candice Oster; Ben Riley; David Smith; Michael Baigent; Mubarak Rahamathulla
Journal:  Int J Environ Res Public Health       Date:  2020-01-23       Impact factor: 3.390

8.  Structural or dispositional? An experimental investigation of the experience of winning in social casino games (and impulsivity) on subsequent gambling behaviors.

Authors:  Hyoun S Kim; Matthew Rockloff; Daniel S McGrath; Michael J A Wohl; David C Hodgins
Journal:  J Behav Addict       Date:  2019-09-23       Impact factor: 6.756

  8 in total

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