Gender differences in gambling preferences and problem gambling: a network-level analysis

References

• Abbott, M., Romild, U., & Volberg, R. (2018). The prevalence, incidence, and gender and age-specific incidence of problem gambling: Results of the Swedish longitudinal gambling study (Swelogs). Addiction, 113(4), 699–707.
   PubMed Web of Science ®Google Scholar
• Baggio, S., Dupuis, M., Berchtold, A., Spilka, S., Simon, O., & Studer, J. (2017). Is gambling involvement a confounding variable for the relationship between Internet gambling and gambling problem severity? Computers in Human Behavior, 71, 148–152.
   Web of Science ®Google Scholar
• Baggio, S., Gainsbury, S. M., Berchtold, A., & Iglesias, K. (2016). Co-morbidity of gambling and Internet use among Internet and land-based gamblers: Classic and network approaches. International Gambling Studies, 16(3), 500–517.
   Web of Science ®Google Scholar
• Barton, K. R., Yazdani, Y., Ayer, N., Kalvapalle, S., Brown, S., Stapleton, J., … Harrigan, K. A. (2017). The effect of losses disguised as wins and near misses in electronic gaming machines: A systematic review. Journal of Gambling Studies, 33(4), 1241–1260.
   PubMed Web of Science ®Google Scholar
• Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction (Abingdon, England), 97(5), 487–499. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/12033650
   PubMed Web of Science ®Google Scholar
• Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13.
   PubMed Web of Science ®Google Scholar
• Braun, B., Ludwig, M., Sleczka, P., Bühringer, G., & Kraus, L. (2014). Gamblers seeking treatment: Who does and who doesn’t? Journal of Behavioral Addictions, 3(3), 189–198.
   PubMed Web of Science ®Google Scholar
• Clark, J., Zuccala, E., & Horton, R. (2017). Women in science, medicine, and global health: Call for papers. The Lancet, 390(10111), 2423–2424.
   PubMed Web of Science ®Google Scholar
• Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010). Comorbidity: A network perspective. The Behavioral and Brain Sciences, 33(2–3), 137–150, Discussion 150–193.
   PubMed Web of Science ®Google Scholar
• Doughney, J. (2007). Lies, damned lies and ‘problem gambling’ prevalence rates: The example of Victoria, Australia. Journal of Business Systems, Governance and Ethics, 2(1). doi:10.15209/jbsge.v2i1.98
   Google Scholar
• Dowling, N., Smith, D., & Thomas, T. (2005). Electronic gaming machines: Are they the ‘crack-cocaine’ of gambling? Addiction, 100(1), 33–45.
   PubMed Web of Science ®Google Scholar
• Epskamp, S., Borsboom, D., & Fried, E. I. (2016). Estimating psychological networks and their accuracy: A tutorial paper. arXiv:1604.08462 [stat]
   Google Scholar
• Ferris, J., & Wynne, H. (2001). The Canadian Problem Gambling Index: Final report. Ottawa: Canadian Centre on Substance Abuse.
   Google Scholar
• Harrigan, K., Brown, D., & MacLaren, V. (2015). Gamble while you gamble: Electronic games in Ontario charitable gaming centres. International Journal of Mental Health and Addiction, 13(6), 740–750.
   PubMed Web of Science ®Google Scholar
• Hing, N., Russell, A., Tolchard, B., & Nower, L. (2014). A comparative study of men and women gamblers in Victoria. Victoria, Australia: Victorian Responsible Gambling Foundation.
   Google Scholar
• Hing, N., Russell, A., Tolchard, B., & Nower, L. (2016). Risk factors for gambling problems: An analysis by gender. Journal of Gambling Studies, 32(2), 511–534.
   PubMed Web of Science ®Google Scholar
• Holdsworth, L., Hing, N., & Breen, H. (2012). Exploring women’s problem gambling: A review of the literature. International Gambling Studies, 12(2), 199–213.
   Web of Science ®Google Scholar
• Hunt, C. J., & Gonsalkorale, K. (2018). Conformity to masculine norms among treatment-seeking male problem gamblers. International Gambling Studies, 1–12. doi: 10.1080/14459795.2018.1429482
   Google Scholar
• Husky, M. M., Michel, G., Richard, J.-B., Guignard, R., & Beck, F. (2015). Gender differences in the associations of gambling activities and suicidal behaviors with problem gambling in a nationally representative French sample. Addictive Behaviors, 45, 45–50.
   PubMed Web of Science ®Google Scholar
• Khanbhai, Y., Smith, D., & Battersby, M. (2017). Gender by preferred gambling activity in treatment seeking problem gamblers: A comparison of subgroup characteristics and treatment outcomes. Journal of Gambling Studies, 33(1), 99–113.
   PubMed Web of Science ®Google Scholar
• Kim, H. S., Hodgins, D. C., Bellringer, M., & Abbott, M. (2016). Gender differences among helpline callers: Prospective study of gambling and psychosocial outcomes. Journal of Gambling Studies, 32(2), 605–623.
   PubMed Web of Science ®Google Scholar
• Kossakowski, J., & Cramer, A. O. J. (2017). Complex dynamical systems in psychology. In M. Vitevitch (Ed.), Network science in cognitive psychology. Rutledge: Taylor & Francis Group.
   Google Scholar
• LaPlante, D. A., Nelson, S. E., LaBrie, R. A., & Shaffer, H. J. (2011). Disordered gambling, type of gambling and gambling involvement in the British gambling prevalence survey 2007. The European Journal of Public Health, 21(4), 532–537.
   PubMed Web of Science ®Google Scholar
• Leplège, A., Ecosse, E., Verdier, A., & Perneger, T. V. (1998). The French SF-36 health survey: Translation, cultural adaptation and preliminary psychometric evaluation. Journal of Clinical Epidemiology, 51(11), 1013–1023.
   PubMed Web of Science ®Google Scholar
• Liu, H., Han, F., Yuan, M., Lafferty, J., & Wasserman, L. (2012). High dimensional semiparametric gaussian copula graphical models. The Annals of Statistics, 40(4), 2293–2326.
   Web of Science ®Google Scholar
• Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction, 106(3), 490–498.
   PubMed Web of Science ®Google Scholar
• Merkouris, S. S., Thomas, A. C., Shandley, K. A., Rodda, S. N., Oldenhof, E., & Dowling, N. A. (2016). An update on gender differences in the characteristics associated with problem gambling: A systematic review. Current Addiction Reports, 3(3), 254–267.
   Google Scholar
• Meyer, G., Fiebig, M., Häfeli, J., & Mörsen, C. (2011). Development of an assessment tool to evaluate the risk potential of different gambling types. International Gambling Studies, 11(2), 221–236.
   Web of Science ®Google Scholar
• Productivity Commission. (2013). Annual report 2012-13. Canberra. Retrieved from https://www.pc.gov.au/about/governance/annual-reports/2012-13/annual-report-2012-13.pdf
   Google Scholar
• Richard, J. B., Andler, R., Gautier, A., Guignard, R., Leon, C., & Beck, F. (2016). Effects of using an overlapping dual-frame design on estimates of health behaviors: A French general population telephone survey. Journal of Survey Statistics and Methodology, Smw028, 1–21.
   Google Scholar
• Rodda, S. N., Hing, N., & Lubman, D. I. (2014). Improved outcomes following contact with a gambling helpline: The impact of gender on barriers and facilitators. International Gambling Studies, 14(2), 318–329.
   Web of Science ®Google Scholar
• Romild, U., Svensson, J., & Volberg, R. (2016). A gender perspective on gambling clusters in Sweden using longitudinal data. Nordic Studies on Alcohol and Drugs, 33(1), 43–60.
   Web of Science ®Google Scholar
• Ronzitti, S., Soldini, E., Smith, N., Bayston, A., Clerici, M., & Bowden-Jones, H. (2018). Are treatment outcomes determined by type of gambling? A UK study. Journal of Gambling Studies, 1–11. doi:10.1007/s10899-018-9752-4
   PubMed Web of Science ®Google Scholar
• Schilt, K., & Lagos, D. (2017). The development of transgender studies in sociology. Annual Review of Sociology, 43(1), 425–443.
   Web of Science ®Google Scholar
• Stark, S., Zahlan, N., Albanese, P., & Tepperman, L. (2012). Beyond description: Understanding gender differences in problem gambling. Journal of Behavioral Addictions, 1(3), 123–134.
   PubMed Web of Science ®Google Scholar
• van Borkulo, C., Boschloo, L., Kossakowski, J., Tio, P. L., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2016). Comparing network structures on three aspects: A permutation test. submitted
   Google Scholar