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Co-morbidity of gambling and Internet use among Internet and land-based gamblers: classic and network approaches

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  • Stéphanie Baggio
  • Sally M. Gainsbury
  • André Berchtold
  • Katia Iglesias

Abstract

This study investigated co-morbidity of problem gambling and problematic Internet use (PIU) among adolescent Internet and land-based gamblers, with the classic approach using sum-scores of symptoms and a promising new method, namely the network perspective. This perspective allows testing for how multiple disorders are associated, showing symptoms overlap and centralities. We used cross-sectional data from two population-based samples of adolescents aged 17 years in France (n = 2,240) and Switzerland (n = 944). Measures included Internet gambling, problem gambling and PIU. The classic approach showed that Internet gambling was associated with increased levels of disordered gambling and PIU, but that correlations between disorders were weak (R2 min = 3.2%, R2 max = 17.6%). The network perspective showed that the co-morbid network of Internet gamblers was more connected in comparison with land-based gamblers. Problem gambling and PIU appeared as separate disorders, but their relationship was increased among Internet gamblers in comparison with land-based gamblers. The network perspective appeared as a promising avenue for a better understanding of addictive disorders, but it should not replace the classic approach, which showed increased levels of addictive behaviours among Internet gamblers.

Suggested Citation

  • Stéphanie Baggio & Sally M. Gainsbury & André Berchtold & Katia Iglesias, 2016. "Co-morbidity of gambling and Internet use among Internet and land-based gamblers: classic and network approaches," International Gambling Studies, Taylor & Francis Journals, vol. 16(3), pages 500-517, September.
    • Handle: RePEc:taf:intgms:v:16:y:2016:i:3:p:500-517
    DOI: 10.1080/14459795.2016.1242148
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
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    3. Heather Wardle & Alison Moody & Mark Griffiths & Jim Orford & Rachel Volberg, 2011. "Defining the online gambler and patterns of behaviour integration: evidence from the British Gambling Prevalence Survey 2010," International Gambling Studies, Taylor & Francis Journals, vol. 11(3), pages 339-356, December.
    4. Kahlil S. Philander & Terri-Lynn MacKay, 2014. "Online gambling participation and problem gambling severity: is there a causal relationship?," International Gambling Studies, Taylor & Francis Journals, vol. 14(2), pages 214-227, August.
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    Cited by:

    1. Sharon Lawn & Candice Oster & Ben Riley & David Smith & Michael Baigent & Mubarak Rahamathulla, 2020. "A Literature Review and Gap Analysis of Emerging Technologies and New Trends in Gambling," IJERPH, MDPI, vol. 17(3), pages 1-20, January.
    2. Stéphanie Baggio & Marlène Sapin & Yasser Khazaal & Joseph Studer & Hans Wolff & Gerhard Gmel, 2018. "Comorbidity of Symptoms of Alcohol and Cannabis Use Disorders among a Population-Based Sample of Simultaneous Users. Insight from a Network Perspective," IJERPH, MDPI, vol. 15(12), pages 1-12, December.

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