Assessing the differential impacts of online, mixed, and offline gambling

References

• Blaszczynski, A., Russell, A., Gainsbury, S., & Hing, N. (2016). Mental health and online, land-based and mixed gamblers. Journal of Gambling Studies, 32(1), 261–275.
   PubMed Web of Science ®Google Scholar
• Blehm, C., Vishnu, S., Khattak, A., Mitra, S., & Yee, R. W. (2005). Computer vision syndrome: A review. Survey of Ophthalmology, 50, 253–262. 10.1016/j.survophthal.2005.02.008
   PubMed Web of Science ®Google Scholar
• Bliss, C. I. (1934). The method of probits. Science, 79, 38–39. 10.1126/science.79.2037.38
   PubMed Web of Science ®Google Scholar
• Brosowski, T., Meyer, G., & Hayer, T. (2012). Analyses of multiple types of online gambling within one provider: An extended evaluation framework of actual online gambling behaviour. International Gambling Studies, 12, 405–419. 10.1080/14459795.2012.698295
   Web of Science ®Google Scholar
• Brunetti, V. C., O’Loughlin, E. K., O’Loughlin, J., Constantin, E., & Pigeon, É. (2016). Screen and nonscreen sedentary behavior and sleep in adolescents. Sleep Health: Journal of the National Sleep Foundation, 2, 335–340. doi:10.1016/j.sleh.2016.09.004
   PubMed Web of Science ®Google Scholar
• Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D., & Bradley, K. A. (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Archives of Internal Medicine, 158, 1789–1795. 10.1001/archinte.158.16.1789
   PubMed Web of Science ®Google Scholar
• Cajochen, C., Frey, S., Anders, D., Spati, J., Bues, M., Pross, A., & Mager, R. (2011). Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. Journal of Applied Physiology, 110, 1432–1438. 10.1152/japplphysiol.00165.2011
   PubMed Web of Science ®Google Scholar
• Canale, N., Vieno, A., & Griffiths, M. D. (2016). The extent and distribution of gambling-related harms and the prevention paradox in a British population survey. Journal of Behavioral Addictions, 5(1), 1–9.
   Google Scholar
• Choi, K., Son, H., Park, M., Han, J., Kim, K., Lee, B., & Gwak, H. (2009). Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and Clinical Neurosciences, 63, 455–462. 10.1111/pcn.2009.63.issue-4
   PubMed Web of Science ®Google Scholar
• Collectif sur le jeu et ses impacts. (2013, November). Charte du Collectif sur le jeu et ses impacts [Charter of the Community of practice on gambling and its impacts].
   Google Scholar
• Davies, C. A., Vandelanotte, C., Duncan, M. J., & van Uffelen, J. G. (2012). Associations of physical activity and screen-time on health related quality of life in adults. Preventive Medicine, 55, 46–49. 10.1016/j.ypmed.2012.05.003
   PubMed Web of Science ®Google Scholar
• Dowling, N. A., Lorains, F. K., & Jackson, A. C. (2015). Are the profiles of past-year internet gamblers generalizable to regular internet gamblers? Computers in Human Behavior, 43, 118–128. 10.1016/j.chb.2014.10.019
   Web of Science ®Google Scholar
• Fagerstrom, K. (2003). Time to first cigarette; the best single indicator of tobacco dependence? Monaldi Archives for Chest Disease, 59, 91–94.
   PubMedGoogle Scholar
• Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Ottawa: Canadian Centre on Substance Abuse. Retrieved from https://ccgr.ca/sites/default/files/CPGI-Final-Report-English.pdf
   Google Scholar
• Fortin, É., & Traoré, I. (2006). Les Québécois sont-ils satisfaits de leur vie et du cadre de vie dans lequel ils évoluent? [Are Quebeckers satisfied with their lives and their living environment?] Direction Santé Québec, Institut de la statistique du Québec. Retrieved from https://www.stat.gouv.qc.ca/statistiques/conditions-vie-societe/zoom_sante_avril07.pdf.
   Google Scholar
• Gainsbury, S. M. (2015). Online gambling addiction: The relationship between internet gambling and disordered gambling. Current Addiction Reports, 2, 185–193. 10.1007/s40429-015-0057-8
   PubMedGoogle Scholar
• Gainsbury, S., Wood, R., Russell, A., Hing, N., & Blaszczynski, A. (2012). A digital revolution: Comparison of demographic profiles, attitudes and gambling behavior of Internet and non-Internet gamblers. Computers in Human Behavior, 28, 1388–1398. doi: 10.1016/j.chb.2012.02.024
   Web of Science ®Google Scholar
• Gainsbury, S. M., Russell, A., Hing, N., Wood, R., Lubman, D., & Blaszczynski, A. (2013). How the Internet is changing gambling: Findings from an Australian prevalence survey. Journal of Gambling Studies, 31(1), 1–15.
   Web of Science ®Google Scholar
• Gainsbury, S. M., Russell, A., Blaszczynski, A., & Hing, N. (2015). Greater involvement and diversity of internet gambling as a risk factor for problem gambling. The European Journal of Public Health, 25, 723–728. 10.1093/eurpub/ckv006
   PubMed Web of Science ®Google Scholar
• Gainsbury, S. M., Russell, A., Wood, R., Hing, N., & Blaszczynski, A. (2015). How risky is internet gambling? A comparison of subgroups of Internet gamblers based on problem gambling status. New Media & Society, 17, 861–879. 10.1177/1461444813518185
   Web of Science ®Google Scholar
• Gainsbury, S. M., Liu, Y., Russell, A. M., & Teichert, T. (2016). Is all Internet gambling equally problematic? Considering the relationship between mode of access and gambling problems. Computers in Human Behavior, 55, 717–728. 10.1016/j.chb.2015.10.006
   Web of Science ®Google Scholar
• Gerstein, D., Hoffman, J., Larison, C., Engleman, L., Murphy, S., & Palmer, A. (1999). Gambling impact and behavior study. Chicago, IL: University of Chicago, National Opinion Research Center.
   Google Scholar
• Global Betting and Gaming Consultancy. (2014). Global gambling report. Retrieved from https://www.businesswire.com/news/home/20150602005070/en/GBGC-Internet-gambling-continues-grow-gambling#.Ve8 V-2Ovhu0
   Google Scholar
• Griffiths, M. D. (2003). Internet gambling: issues, concerns, and recommendations. CyberPsychology & Behavior, 6, 557–568. 10.1089/109493103322725333
   PubMedGoogle Scholar
• Griffiths, M., Parke, A., Wood, R., & Parke, J. (2006). Internet gambling: An overview of psychosocial impacts. UNLV Gaming Research & Review Journal, 10(1), 27–39.
   Google Scholar
• Griffiths, M., Wardle, H., Orford, J., Sproston, K., & Erens, B. (2008). Sociodemographic correlates of internet gambling: Findings from the 2007 British gambling prevalence survey. CyberPsychology & Behavior, 12, 199–202. https://doi.org/10.1089/cpb.2008.0196
   Google Scholar
• Gu, X. S., & Rosenbaum, P. R. (1993). Comparison of multivariate matching methods: Structures, distances, and algorithms. Journal of Computational and Graphical Statistics, 2, 405–420.
   Google Scholar
• Kairouz, S., Paradis, C., & Nadeau, L. (2012). Are online gamblers more at risk than offline gamblers? Cyberpsychology, Behavior, and Social Networking, 15, 175–180. doi:10.1089/cyber.2011.0260
   PubMed Web of Science ®Google Scholar
• Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S.-L., & Zaslavsky, A. M. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32, 959–976. 10.1017/S0033291702006074
   PubMed Web of Science ®Google Scholar
• Kräplin, A., Behrendt, S., Scherbaum, S., Dshemuchadse, M., Bühringer, G., & Goschke, T. (2015). Increased impulsivity in pathological gambling: Considering nicotine dependence. Journal of Clinical and Experimental Neuropsychology, 37(4), 367–378.
   PubMed Web of Science ®Google Scholar
• Ladouceur, R., Jacques, C., Chevalier, S., Sévigny, S., Hamel, D., & Allard, D. (2004). Prévalence des habitudes de jeu et du jeu pathologique au Québec en 2002 [Prevalence of gambling and pathological gambling in Quebec in 2002]. Québec and Montréal: Université Laval et Institut national de santé publique du Québec.
   Google Scholar
• Langham, E., Thorne, H., Browne, M., Donaldson, P., Rose, J., & Rockloff, M. (2016). Understanding gambling related harm: A proposed definition, conceptual framework, and taxonomy of harms. BMC Public Health, 16(1), 80.
   PubMed Web of Science ®Google Scholar
• LaPlante, D. A., Nelson, S. E., & Gray, H. M. (2014). Breadth and depth involvement: Understanding internet gambling involvement and its relationship to gambling problems. Psychology of Addictive Behaviors, 28, 396–403. 10.1037/a0033810
   PubMed Web of Science ®Google Scholar
• Lloyd, J., Doll, H., Hawton, K., Dutton, W. H., Geddes, J. R., Goodwin, G. M., & Rogers, R. D. (2010). Internet gamblers: A latent class analysis of their behaviours and health experiences. Journal of Gambling Studies, 26, 387–399. 10.1007/s10899-010-9188-y
   PubMed Web of Science ®Google Scholar
• Ludwig, M., Kraus, L., Müller, S., Braun, B., & Bühringer, G. (2012). Has gambling changed after major amendments of gambling regulations in Germany? A propensity score analysis. Journal of Behavioral Addictions, 1, 151–161. 10.1556/JBA.1.2012.4.2
   PubMed Web of Science ®Google Scholar
• McCormack, A., Shorter, G. W., & Griffiths, M. D. (2013). Characteristics and predictors of problem gambling on the internet. International Journal of Mental Health and Addiction, 11, 634–657. 10.1007/s11469-013-9439-0
   Web of Science ®Google Scholar
• McFadden, D. (1973). Conditional logit analysis of qualitative choice behavior. Retrieved from https://elsa.berkeley.edu/reprints/mcfadden/zarembka.pdf
   Google Scholar
• McKelvey, R. D., & Zavoina, W. (1975). A statistical model for the analysis of ordinal level dependent variables. The Journal of Mathematical Sociology, 4, 103–120. 10.1080/0022250X.1975.9989847
   Web of Science ®Google Scholar
• Mesquita, G., & Reimão, R. (2010). Quality of sleep among university students: Effects of nighttime computer and television use. Arquivos de Neuro-Psiquiatria, 68, 720–725. 10.1590/S0004-282X2010000500009
   PubMed Web of Science ®Google Scholar
• Neal, P., Delfabbro, P., & O’Neil, M. (2005). Problem gambling and harm: A national definition. Adelaide, Australia: South Australian Centre for Economic Studies.
   Google Scholar
• Oliveri, N. (2015). Jeux d’argent en ligne: Entre usages virtuels et problématiques réelles [Online gambling: Between virtual use and real problems]. Pensée Plurielle, 37, 43–52.
   Google Scholar
• Papineau, E., & Leblond, J. (2011). Les enjeux de l’étatisation du jeu en ligne au Canada: Une analyse de santé publique [The stakes of online gambling nationalization in Canada: A public health analysis]. Canadian Journal of Public Health, 102, 417–420.
   PubMedGoogle Scholar
• Petit, A., Lejoyeux, M., & d’ Ortho, M.-P. (2011). Les troubles du sommeil dans l’addiction à Internet [Sleep disorders in internet addiction]. Médecine du Sommeil, 8, 159–165. 10.1016/j.msom.2011.09.003
   Google Scholar
• Philander, K. S., & MacKay, T.-L. (2014). Online gambling participation and problem gambling severity: Is there a causal relationship? International Gambling Studies, 14, 214–227. 10.1080/14459795.2014.893585
   Web of Science ®Google Scholar
• Politzer, R. M., Yesalis, C. E., & Hudak, C. J. (1992). The epidemiologic model and the risks of legalized gambling: Where are we headed? Health Values: The Journal of Health Behavior, Education & Promotion, 16, 20–27.
   Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–55. 10.1093/biomet/70.1.41
   Web of Science ®Google Scholar
• Rubin, D. B. (1978). Bayesian inference for causal effects: The role of randomization. The Annals of Statistics, 6, 34–58. 10.1214/aos/1176344064
   Web of Science ®Google Scholar
• Soberay, A. D. (2015). Comparing short-term outcomes of three problem gambling treatments: A multi-group propensity score analysis. University of denver. Retrieved from https://gradworks.umi.com/36/89/3689573.html.
   Google Scholar
• Tovar, M.-L., Costes, J.-M., & Eroukmanoff, V. (2013). Les jeux d’argent et de hasard sur Internet en France en 2012 [Gambling on the Internet in France in 2012]. Tendances, 85, 1–6.
   Google Scholar
• Tremblay, M. S., Warburton, D. E., Janssen, I., Paterson, D. H., Latimer, A. E., Rhodes, R. E., … Duggan M. (2011). Nouvelles directives canadiennes en matière d’activité physique [New Canadian Physical Activity Guidelines]. Applied Physiology, Nutrition, and Metabolism, 36, 47–58. 10.1139/H11-010
   Web of Science ®Google Scholar
• Vandelanotte, C., Sugiyama, T., Gardiner, P., & Owen, N. (2009). Associations of leisure-time internet and computer use with overweight and obesity, physical activity and sedentary behaviors: Cross-sectional study. Journal of Medical Internet Research, 11(3). Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762849/
   Google Scholar
• Wardle, H., Moody, A., Griffiths, M., Orford, J., & Volberg, R. (2011). Defining the online gambler and patterns of behaviour integration: Evidence from the British Gambling prevalence survey 2010. International Gambling Studies, 11, 339–356. 10.1080/14459795.2011.628684
   Web of Science ®Google Scholar
• Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., & Hoffman, J. H. (2009). The association of form of gambling with problem gambling among American youth. Psychology of Addictive Behaviors, 23, 105–112. 10.1037/a0013536
   PubMed Web of Science ®Google Scholar
• Wenz, M. (2008). Matching estimation, casino gambling and the quality of life. The Annals of Regional Science, 42, 235–249. 10.1007/s00168-007-0148-0
   Web of Science ®Google Scholar
• Williams, R. J., & Volberg, R. A. (2012). Population assessment of problem gambling: Utility and best practices. Guelph, Ontario: Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care.
   Google Scholar
• Williams, R. J., Wood, R. T., & Parke, J. (2012). Routledge international handbook of internet gambling. London: Routledge. Retrieved from https://books.google.fr/books?hl=fr&lr=&id=3qxYOnK4r74C&oi=fnd&pg=PP2&dq=Routledge+international+handbook+of+internet+gambling&ots=ZkmeR-qVFd&sig=LT8TFIdDNmftSgfo5-uZ56br080.
   Google Scholar
• Wood, R., & Williams, G. M. (2009). Internet gambling: Prevalence, patterns, problems, and policy options ( Final report prepared for the Ontario Problem Gambling Research Centre). Guelph, Ontario.
   Google Scholar
• Wood, R. T., & Williams, R. J. (2011). A comparative profile of the Internet gambler: Demographic characteristics, game-play patterns, and problem gambling status. New Media & Society, 13, 1123–1141. 10.1177/1461444810397650
   Web of Science ®Google Scholar
• Wood, R. T., Williams, R. J., & Parke, J. (Eds.). (2012). The relationship between problem gambling and Internet gambling. Routledge international handbook of internet gambling (pp. 200–211). London: Routledge.
   Google Scholar