Internet Gamblers Differ on Social Variables: A Latent Class Analysis (original) (raw)
References
Abarbanel, B. L., & Bernhard, B. J. (2012). Chicks with decks: The female lived experience in poker. International Gambling Studies,12(3), 367–385. doi:10.1080/14459795.2012.680900. Article Google Scholar
Afifi, T. O., Cox, B. J., Martens, P. J., Sareen, J., & Enns, M. W. (2010). Demographic and social variables associated with problem gambling among men and women in Canada. [Research Support, Non-U.S. Gov’t]. Psychiatry Research,178(2), 395–400. doi:10.1016/j.psychres.2009.10.003. ArticlePubMed Google Scholar
Auer, M., Malischnig, D., & Griffiths, M. (2014). Is “pop-up” messaging in online slot machine gambling effective as a responsible gambling strategy? Journal of Gambling Issues, 29, 1–10. Article Google Scholar
Barrault, S., Untas, A., & Varescon, I. (2014). Special features of poker. International Gambling Studies,14(3), 492–504. Article Google Scholar
Barrault, S., & Varescon, I. (2013). Cognitive distortions, anxiety, and depression among regular and pathological gambling online poker players. Cyberpsychology, Behavior, and Social Networking,16(3), 183–188. doi:10.1089/cyber.2012.0150. Article Google Scholar
Barrault, S., & Varescon, I. (2016). Online and live regular poker players: Do they differ in impulsive sensation seeking and gambling practice? J Behav Addict,5(1), 41–50. ArticlePubMedPubMed Central Google Scholar
Billieux, J., Rochat, L., Ceschi, G., Carre, A., Offerlin-Meyer, I., Defeldre, A. C., et al. (2012a). Validation of a short French version of the UPPS-P Impulsive Behavior Scale. Comprehensive Psychiatry,53(5), 609–615. doi:10.1016/j.comppsych.2011.09.001. ArticlePubMed Google Scholar
Billieux, J., Van der Linden, M., Khazaal, Y., Zullino, D., & Clark, L. (2012b). Trait gambling cognitions predict near-miss experiences and persistence in laboratory slot machine gambling. British Journal of Psychology,103(3), 412–427. doi:10.1111/j.2044-8295.2011.02083.x. ArticlePubMed Google Scholar
Bjerg, O. (2010). Problem gambling in poker: Money, rationality and control in a skill-based social game. International Gambling Studies,10(3), 239–254. doi:10.1080/14459795.2010.520330. Article Google Scholar
Canale, N., Vieno, A., Griffiths, M. D., Marino, C., Chieco, F., Disperati, F., et al. (2016). The efficacy of a web-based gambling intervention program for high school students: A preliminary randomized study. Computers in Human Behavior,55, 946–949S. Article Google Scholar
Castren, S., Basnet, S., Salonen, A. H., Pankakoski, M., Ronkainen, J. E., Alho, H., et al. (2013). Factors associated with disordered gambling in Finland. Substance Abuse Treatment, Prevention, and Policy,8, 24. doi:10.1186/1747-597X-8-24. ArticlePubMedPubMed Central Google Scholar
Cole, T., Barrett, D. J., & Griffiths, M. D. (2011). Social facilitation in online and offline gambling: A pilot study. International Journal of Mental Health and Addiction,9(3), 240–247. Article Google Scholar
Corney, R., & Davis, J. (2010). The attractions and risks of Internet gambling for women: A qualitative study. Journal of Gambling Issues,24, 121–139. doi:10.4309/jgi.2010.24.8. Article Google Scholar
Currie, S. R., Hodgins, D. C., & Casey, D. M. (2013). Validity of the Problem Gambling Severity Index interpretive categories. [Research Support, Non-U.S. Gov’t]. Journal of Gambling Studies,29(2), 311–327. doi:10.1007/s10899-012-9300-6. ArticlePubMed Google Scholar
Donati, M. A., Ancona, F., Chiesi, F., & Primi, C. (2015). Psychometric properties of the Gambling Related Cognitions Scale (GRCS) in young Italian gamblers. Addictive Behaviors,45, 1–7. doi:10.1016/j.addbeh.2015.01.001. ArticlePubMed Google Scholar
D’Orta, I., Burnay, J., Aiello, D., Niolu, C., Siracusano, A., Timpanaro, L., et al. (2015). Development and validation of a short Italian UPPS-P Impulsive Behavior Scale. Addictive Behaviors Reports,2, 19–22. Article Google Scholar
Dufour, M., Brunelle, N., & Roy, E. (2013). Are Poker Players All the Same? Latent Class Analysis. Journal of Gambling Studies. doi:10.1007/s10899-013-9429-y. Google Scholar
Gainsbury, S. M. (2015). Online gambling addiction: The relationship between internet gambling and disordered gambling. Current Addiction Reports,2(2), 185–193. ArticlePubMedPubMed Central 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(4), 723–728. ArticlePubMedPubMed Central Google Scholar
Gainsbury, S. M., Russell, A., Hing, N., Wood, R., Lubman, D. I., & Blaszczynski, A. (2014a). The prevalence and determinants of problem gambling in Australia: Assessing the impact of interactive gambling and new technologies. Psychology of Addictive Behaviors,28(3), 769–779. doi:10.1037/a0036207. ArticlePubMed Google Scholar
Gainsbury, S. M., Suhonen, N., & Saastamoinen, J. (2014b). Chasing losses in online poker and casino games: Characteristics and game play of Internet gamblers at risk of disordered gambling. Psychiatry Research. doi:10.1016/j.psychres.2014.03.033. PubMed Google Scholar
Grall-Bronnec, M., Bouju, G., Sébille-Rivain, V., Gorwood, P., Boutin, C., Vénisse, J. L., et al. (2012a). A French adaptation of the Gambling-Related Cognitions Scale (GRCS): A useful tool for assessment of irrational thoughts among gamblers. Journal of Gambling Issues,27, 1–21. doi:10.4309/jgi.2012.27.9. Article Google Scholar
Grall-Bronnec, M., Wainstein, L., Feuillet, F., Bouju, G., Rocher, B., Venisse, J. L., et al. (2012b). Clinical profiles as a function of level and type of impulsivity in a sample group of at-risk and pathological gamblers seeking treatment. [Research Support, Non-U.S. Gov’t]. Journal of Gambling Studies,28(2), 239–252. doi:10.1007/s10899-011-9258-9. ArticlePubMed Google Scholar
Griffiths, M., Parke, J., Wood, R., & Rigbye, J. (2010). Online poker gambling in university students: Further findings from an online survey. International Journal of Mental Health and Addiction,8(1), 82–89. Article 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. Article Google Scholar
Hing, N., & Breen, H. (2001). Profiling lady luck: An empirical study of gambling and problem gambling amongst female club members. [Comparative Study]. Journal of Gambling Studies,17(1), 47–69. ArticleCASPubMed Google Scholar
Hing, N., Russell, A. M., & Gainsbury, S. M. (2016a). Unpacking the public stigma of problem gambling: The process of stigma creation and predictors of social distancing. Journal of Behavioral Addictions,5(3), 448–456. doi:10.1556/2006.5.2016.057. ArticlePubMedPubMed Central Google Scholar
Hing, N., Russell, A. M., Gainsbury, S. M., & Nuske, E. (2016b). The public stigma of problem gambling: Its nature and relative intensity compared to other health conditions. Journal of Gambling Studies,32(3), 847–864. doi:10.1007/s10899-015-9580-8. ArticlePubMed Google Scholar
Hing, N., Russell, A., Tolchard, B., & Nower, L. (2016c). Risk factors for gambling problems: An analysis by gender. Journal of Gambling Studies,32, 511–534. ArticlePubMed 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. doi:10.1080/14459795.2012.656317. Article Google Scholar
Holtgraves, T. (2009). Evaluating the problem gambling severity index. [Evaluation Studies Research Support, Non-U.S. Gov’t]. Journal of Gambling Studies,25(1), 105–120. doi:10.1007/s10899-008-9107-7. ArticlePubMed Google Scholar
Hopley, A. A., & Nicki, R. M. (2010). Predictive factors of excessive online poker playing. [Research Support, Non-U.S. Gov’t]. Cyberpsychology, Behavior, and Social Networking,13(4), 379–385. doi:10.1089/cyber.2009.0223. Article 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. ArticlePubMed Google Scholar
Joseph, S., Linley, P. A., Harwood, J., Lewis, C. A., & McCollam, P. (2004). Rapid assessment of well-being: The Short Depression–Happiness Scale (SDHS). [Validation Studies]. Psychology and Psychotherapy,77(Pt 4), 463–478. doi:10.1348/1476083042555406. ArticlePubMed Google Scholar
Khazaal, Y., Achab, S., Billieux, J., Thorens, G., Zullino, D., Dufour, M., et al. (2015). Factor structure of the internet addiction test in online gamers and poker players. JMIR Mental Health,2(2), e12. doi:10.2196/mental.3805. ArticlePubMedPubMed Central Google Scholar
Khazaal, Y., Billieux, J., Thorens, G., Khan, R., Louati, Y., Scarlatti, E., et al. (2008a). French validation of the internet addiction test. CyberPsychology & Behavior,11(6), 703–706. Article Google Scholar
Khazaal, Y., Chatton, A., Bouvard, A., Khiari, H., Achab, S., & Zullino, D. (2013). Internet poker websites and pathological gambling prevention policy. Journal of Gambling Studies,29(1), 51–59. doi:10.1007/s10899-011-9288-3. ArticlePubMed Google Scholar
Khazaal, Y., Chatton, A., Cochand, S., Jermann, F., Osiek, C., Bondolfi, G., et al. (2008b). Quality of web-based information on pathological gambling. Journal of Gambling Studies,24(3), 357–366. ArticlePubMed Google Scholar
Khazaal, Y., van Singer, M., Chatton, A., Achab, S., Zullino, D., Rothen, S., et al. (2014). Does self-selection affect samples’ representativeness in online surveys? An investigation in online video game research. Journal of Medical Internet Research,16(7), e164. doi:10.2196/jmir.2759. ArticlePubMedPubMed Central 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. doi:10.1007/s10899-015-9572-8. ArticlePubMed Google Scholar
Ladouceur, R., Goulet, A., & Vitaro, F. (2013). Prevention programmes for youth gambling: A review of the empirical evidence. International Gambling Studies,13(2), 141–159. Article Google Scholar
Lee, H. W., Choi, J. S., Shin, Y. C., Lee, J. Y., Jung, H. Y., & Kwon, J. S. (2012). Impulsivity in internet addiction: A comparison with pathological gambling. [Comparative Study]. Cyberpsychol Behav Soc Netw,15(7), 373–377. doi:10.1089/cyber.2012.0063. ArticlePubMed Google Scholar
Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry,144(9), 1184–1188. ArticleCASPubMed Google Scholar
Liley, J., & Rakow, T. (2010). Probability estimation in poker: A qualified success for unaided judgment. Journal of behavioral decision making,23(5), 496–526. doi:10.1002/bdm.670. Article Google Scholar
Lim, L. L., & Kua, E. H. (2011). Living alone, loneliness, and psychological well-being of older persons in singapore. Current Gerontology and Geriatrics Research,2011, 673181. doi:10.1155/2011/673181. ArticlePubMedPubMed Central Google Scholar
Linnet, J., Frøslev, M., Ramsgaard, S., Gebauer, L., Mouridsen, K., & Wohlert, V. (2012). Impaired probability estimation and decision-making in pathological gambling poker players. Journal of Gambling Studies,28(1), 113–122. doi:10.1007/s10899-011-9244-2. ArticlePubMed Google Scholar
Lloyd, J., Doll, H., Hawton, K., Dutton, W. H., Geddes, J. R., Goodwin, G. M., et al. (2010). How psychological symptoms relate to different motivations for gambling: An online study of internet gamblers. [Research Support, Non-U.S. Gov’t]. Biological Psychiatry,68(8), 733–740. doi:10.1016/j.biopsych.2010.03.038. ArticlePubMed 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. [Meta-Analysis Research Support, Non-U.S. Gov’t Review]. Addiction,106(3), 490–498. doi:10.1111/j.1360-0443.2010.03300.x. ArticlePubMed Google Scholar
Maclaren, V. V., Fugelsang, J. A., Harrigan, K. A., & Dixon, M. J. (2011). The personality of pathological gamblers: A meta-analysis. Clinical Psychology Review,31(6), 1057–1067. doi:10.1016/j.cpr.2011.02.002. ArticlePubMed Google Scholar
MacLaren, V. V., Harrigan, K. A., & Dixon, M. (2012). Gambling motives and symptoms of problem gambling in frequent slots players. Journal of Gambling Issues,27, 1–13. doi:10.4309/jgi.2012.27.8. Article Google Scholar
McCormack, A., Shorter, G. W., & Griffiths, M. D. (2014). An empirical study of gender differences in online gambling. Journal of Gambling Studies,30(1), 71–88. doi:10.1007/s10899-012-9341-x. ArticlePubMed Google Scholar
McDaniel, S. R., & Zuckerman, M. (2003). The relationship of impulsive sensation seeking and gender to interest and participation in gambling activities. Personality and Individual Differences,35(6), 1385–1400. Article Google Scholar
Michalczuk, R., Bowden-Jones, H., Verdejo-Garcia, A., & Clark, L. (2011). Impulsivity and cognitive distortions in pathological gamblers attending the UK National Problem Gambling Clinic: A preliminary report. [Research Support, Non-U.S. Gov’t]. Psychological Medicine,41(12), 2625–2635. doi:10.1017/S003329171100095X. ArticleCASPubMedPubMed Central Google Scholar
Mihaylova, T., Kairouz, S., & Nadeau, L. (2012). Online poker gambling among university students: Risky endeavour or harmless pastime? Journal of Gambling Issues,27, 1–18. Google Scholar
Milosevic, A., & Ledgerwood, D. M. (2010). The subtyping of pathological gambling: A comprehensive review. [Research Support, Non-U.S. Gov’t Review]. Clinical Psychology Review,30(8), 988–998. doi:10.1016/j.cpr.2010.06.013. ArticlePubMed Google Scholar
Monney, G., Penzenstadler, L., Dupraz, O., Etter, J.-F., & Khazaal, Y. (2015). mHealth app for cannabis users: Satisfaction and perceived usefulness. Frontiers in Psychiatry. doi:10.3389/fpsyt.2015.00120. Google Scholar
Müller, K. W., Dreier, M., Beutel, M. E., & Wölfling, K. (2016). Is Sensation Seeking a correlate of excessive behaviors and behavioral addictions? A detailed examination of patients with gambling disorder and internet addiction. Psychiatry Research. doi:10.1016/j.psychres.2016.06.004. Google Scholar
Nordmyr, J., Forsman, A. K., Wahlbeck, K., Björkqvist, K., & Österman, K. (2014). Associations between problem gambling, socio-demographics, mental health factors and gambling type: Sex differences among Finnish gamblers. International Gambling Studies,14(1), 39–52. doi:10.1080/14459795.2013.840328. Article Google Scholar
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling,14(4), 535–569. Article Google Scholar
Palomaki, J., Laakasuo, M., & Salmela, M. (2013). “Don’t worry, it’s just poker!”—Experience, self-rumination and self-reflection as determinants of decision-making in on-line poker. Journal of Gambling Studies,29(3), 491–505. doi:10.1007/s10899-012-9311-3. ArticlePubMed Google Scholar
Parke, A., & Griffiths, M. D. (2011). Poker gambling virtual communities: The use of computer-mediated communication to develop cognitive poker gambling skills. International Journal of Cyber Behavior, Psychology and Learning,1(2), 31–44. doi:10.4018/ijcbpl.2011040103. Article Google Scholar
Porter, J., Ungar, J., Frisch, G. R., & Chopra, R. (2004). Loneliness and life dissatisfaction in gamblers. Journal of Gambling Issues, (11). doi:10.4309/jgi.2004.11.14.
Raylu, N., & Oei, T. P. (2004). The Gambling Related Cognitions Scale (GRCS): Development, confirmatory factor validation and psychometric properties. [Clinical Trial Randomized Controlled Trial]. Addiction,99(6), 757–769. doi:10.1111/j.1360-0443.2004.00753.x. ArticlePubMed Google Scholar
Sharpe, D. (2015). Your Chi square test is statistically significant: Now what? Practical Assessment, Research and Evaluation,20(8), 2–10. Google Scholar
Shen, Y., Kairouz, S., Nadeau, L., & Robillard, C. (2015). Comparing problem gamblers with moderate-risk gamblers in a sample of university students. [Research Support, Non-U.S. Gov’t]. Journal of Behavioral Addictions,4(2), 53–59. doi:10.1556/2006.4.2015.002. ArticlePubMedPubMed Central Google Scholar
Stewart, S. H., & Zack, M. (2008). Development and psychometric evaluation of a three-dimensional Gambling Motives Questionnaire. [Evaluation Studies Research Support, Non-U.S. Gov’t]. Addiction,103(7), 1110–1117. doi:10.1111/j.1360-0443.2008.02235.x. ArticlePubMed Google Scholar
Trevorrow, K., & Moore, S. (1988). The association between loneliness, social isolation and women’s electronic gaming machine gambling. Journal of Gambling Studies,14(3), 263–284. Article Google Scholar
Wood, R. T., Griffiths, M. D., & Parke, J. (2007). Acquisition, development, and maintenance of online poker playing in a student sample. CyberPsychology & Behavior,10(3), 354–361. doi:10.1089/cpb.2006.9944. Article Google Scholar
Wood, R. T., Shorter, G. W., & Griffiths, M. D. (2014). Rating the suitability of responsible gambling features for specific game types: A resource for optimizing responsible gambling strategy. International Journal of Mental Health and Addiction,12(1), 94–112. Article 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(7), 1123–1141. doi:10.1177/1461444810397650. Article Google Scholar
Young, K. S. (1998). Caught in the net. New York: Wiley. Google Scholar