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Research Article

Risk Factors of Problem Gaming and Gambling in US Emerging Adult Non-Students: The Role of Loot Boxes, Microtransactions, and Risk-Taking

, BA, , PhD, , BA, , BS & , BA

References

  • Abarbanel, B. (2018). Gambling vs. gaming: A commentary on the role of regulatory, industry, and community stakeholders in the loot box debate. Gaming Law Review, 22(4), 231–234. https://doi.org/10.1089/glr2.2018.2243
  • Abarbanel, B., Gainsbury, S. M., King, D., Hing, N., & Delfabbro, P. H. (2017). Gambling games on social platforms: How do advertisements for social casino games target young adults? Policy & Internet, 9(2), 184–209. https://doi.org/10.1002/poi3.135
  • Abarbanel, B., & Rahman, A. (2015). eCommerce market convergence in action: Social casinos and real money gambling. UNLV Gaming Research & Review Journal, 19(1), 51–62.
  • American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing.
  • Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy, white women. Health Psychology, 19(6), 586–592. https://doi.org/10.1037/0278-6133.19.6.586
  • Armstrong, T., Rockloff, M., Browne, M., & Li, E. (2018). An exploration of how simulated gambling games may promote gambling with money. Journal of Gambling Studies, 34(4), 1165–1184. https://doi.org/10.1007/s10899-018-9742-6
  • Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. The American Psychologist, 55(5), 469–480. https://doi.org/10.1037/0003-066X.55.5.469
  • Balogh, K. L., Mayes, L. C., & Potenza, M. N. (2013). Risk-taking and decision-making in youth: Relationships to addiction vulnerability. Journal of Behavioral Addictions, 2(1), 1–9. https://doi.org/10.1556/JBA.2.2013.1.1
  • Bednarz, J., Delfabbro, P., & King, D. L. (2013). Practice makes poorer: Practice gambling modes and their effects on real-play in simulated roulette. International Journal of Mental Health and Addiction, 11(3), 381–395. https://doi.org/10.1007/s11469-012-9422-1
  • Blais, A. R., & Weber, E. U. (2006). A domain-specific risk-taking (DOSPERT) scale for adult populations. Judgment & Decision Making, 1, 33–47.
  • Blasi, M. D., Giardina, A., Giordano, C., Coco, G. L., Tosto, C., Billieux, J., & Schimmenti, A. (2019). Problematic video game use as an emotional coping strategy: Evidence from a sample of MMORPG gamers. Journal of Behavioral Addictions, 8(1), 25–34. https://doi.org/10.1556/2006.8.2019.02
  • Brooks, G. A., & Clark, L. (2019). Associations between loot box use, problematic gaming and gambling, and gambling-related cognitions. Addictive Behaviors, 96, 26–34. https://doi.org/10.1016/j.addbeh.2019.04.009
  • Chan, A. K., Zane, N., Wong, G. M., & Song, A. V. (2015). Personal gambling expectancies among Asian American and White American college students. Journal of Gambling Studies, 31(1), 33–57. https://doi.org/10.1007/s10899-013-9397-2
  • Chen, C. Y., & Chang, S. L. (2019). Moderating effects of information-oriented versus escapism-oriented motivations on the relationship between psychological well-being and problematic use of video game live-streaming services. Journal of Behavioral Addictions, 8(3), 564–573. https://doi.org/10.1556/2006.8.2019.34
  • Clark, C. A., & Dagher, A. (2014). The role of dopamine in risk taking: A specific look at Parkinson's disease and gambling. Frontiers in Behavioral Neuroscience, 8, 196. https://doi.org/10.3389/fnbeh.2014.00196
  • Cleary, M., & Thomas, S. P. (2017). Addiction and mental health across the lifespan: An overview of some contemporary issues. Issues in Mental Health Nursing, 38(1), 2–8. https://doi.org/10.1080/01612840.2016.1259336
  • Coyne, S. M., Padilla-Walker, L. M., & Howard, E. (2013). Emerging in a digital world: A decade review of media use, effects, and gratifications in emerging adulthood. Emerging Adulthood, 1(2), 125–137. https://doi.org/10.1177/2167696813479782
  • Derevensky, J. L., & Gainsbury, S. M. (2016). Social casino gaming and adolescents: Should we be concerned and is regulation in sight? International Journal of Law and Psychiatry, 44, 1–6. https://doi.org/10.1016/j.ijlp.2015.08.025
  • Derevensky, J. L., & Gupta, R. (2000). Prevalence estimates of adolescent gambling: A comparison of the SOGS-RA, DSM-IV-J, and the GA 20 questions. Journal of Gambling Studies, 16(2–3), 227–251. https://doi.org/10.1023/a:1009485031719
  • Dong, G., & Potenza, M. N. (2016). Risk-taking and risky decision-making in internet gaming disorder: Implications regarding online gaming in the setting of negative consequences. Journal of Psychiatric Research, 73, 1–8. https://doi.org/10.1016/j.jpsychires.2015.11.011
  • Drummond, A., & Sauer, J. D. (2018). Video game loot boxes are psychologically akin to gambling. Nature Human Behaviour, 2(8), 530–532. https://doi.org/10.1038/s41562-018-0360-1
  • Fauth-Bühler, M., & Mann, K. (2017). Neurobiological correlates of internet gaming disorder: Similarities to pathological gambling. Addictive Behaviors, 64, 349–356. https://doi.org/10.1016/j.addbeh.2015.11.004
  • Forrest, C. J., King, D. L., & Delfabbro, P. H. (2016). The gambling preferences and behaviors of a community sample of Australian regular video game players. Journal of Gambling Studies, 32(2), 409–420. https://doi.org/10.1007/s10899-015-9535-0
  • Gainsbury, S. M., Russell, A. M. T., King, D. L., Delfabbro, P., & Hing, N. (2016). Migration from social casino games to gambling: Motivations and characteristics of gamers who gamble. Computers in Human Behavior, 63, 59–67. https://doi.org/10.1016/j.chb.2016.05.021
  • Garza, J. R., Glenn, B. A., Mistry, R. S., Ponce, N. A., & Zimmerman, F. J. (2017). Subjective social status and self-reported health among US-born and immigrant Latinos. Journal of Immigrant and Minority Health, 19(1), 108–119. https://doi.org/10.1007/s10903-016-0346-x
  • Gordon, T., & Borushok, J. (2017). The ACT approach. PESI Publishing & Media.
  • Grande-Gosende, A., López-Núñez, C., García-Fernández, G., Derevensky, J., & Fernández-Hermida, J. R. (2020). Systematic review of preventive programs for reducing problem gambling behaviors among young adults. Journal of Gambling Studies, 36(1), 1–22. https://doi.org/10.1007/s10899-019-09866-9
  • Halverson, N. (2019). How social casinos leverage Facebook user data to target vulnerable gamblers. Retrieved May 10, 2020, from https://www.pbs.org/newshour/show/how-social-casinos-leverage-facebook-user-data-to-target-vulnerable-gamblers
  • Hanel, P. H., & Vione, K. C. (2016). Do student samples provide an accurate estimate of the general public? PloS One, 11(12), e0168354. https://doi.org/10.1371/journal.pone.0168354
  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
  • Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1–22. https://doi.org/10.1080/00273171.2014.962683
  • Henkel, D., & Zemlin, U. (2016). Social inequality and substance use and problematic gambling among adolescents and young adults: A review of epidemiological surveys in Germany. Current Drug Abuse Reviews, 9(1), 26–48. https://doi.org/10.2174/1874473709666151209114023
  • IBM Corp. (2017). IBM SPSS Statistics for Macintosh (Version 25.0).
  • Jun, H.-J., Sacco, P., & Cunningham-Williams, R. M. (2019). Gambling in emerging adulthood: The role of adolescent depressive symptoms, antisocial behaviors, and alcohol use. International Journal of Mental Health and Addiction, 17, 1–14. https://doi.org/10.1007/s11469-019-00087-0
  • Kerber, C. S., Black, D. W., & Buckwalter, K. (2008). Comorbid psychiatric disorders among older adult recovering pathological gamblers. Issues in Mental Health Nursing, 29(9), 1018–1028. https://doi.org/10.1080/01612840802274933
  • Kim, H. S., & Hodgins, D. C. (2018). Component model of addiction treatment: A pragmatic transdiagnostic treatment model of behavioral and substance addictions. Frontiers in Psychiatry, 9, 406. https://doi.org/10.3389/fpsyt.2018.00406
  • Kim, H. S., Hodgins, D. C., Kim, B., & Wild, T. C. (2020). Transdiagnostic or disorder specific? Indicators of substance and behavioral addictions nominated by people with lived experience. Journal of Clinical Medicine, 9(2), 334. https://doi.org/10.3390/jcm9020334
  • Kim, H. S., Hollingshead, S., & Wohl, M. (2017). Who spends money to play for free? Identifying who makes micro-transactions on social casino games (and why). Journal of Gambling Studies, 33(2), 525–538. https://doi.org/10.1007/s10899-016-9626-6
  • Kim, H. S., Wohl, M. J. A., Salmon, M. M., Gupta, R., & Derevensky, J. (2015). Do social casino gamers migrate to online gambling? An assessment of migration rate and potential predictors. Journal of Gambling Studies, 31(4), 1819–1831. https://doi.org/10.1007/s10899-014-9511-0
  • King, D. L., & Delfabbro, P. H. (2016). Early exposure to digital simulated gambling: A review and conceptual model. Computers in Human Behavior, 55, 198–206. https://doi.org/10.1016/j.chb.2015.09.012
  • King, D. L., & Delfabbro, P. H. (2019). Video game monetization (e.g., ‘loot boxes’): A blueprint for practical social responsibility measures. International Journal of Mental Health and Addiction, 17(1), 166–179. https://doi.org/10.1007/s11469-018-0009-3
  • King, D. L., & Delfabbro, P. H. (2020). The convergence of gambling and monetised gaming activities. Current Opinion in Behavioral Sciences, 31, 32–36. https://doi.org/10.1016/j.cobeha.2019.10.001
  • King, D. L., Delfabbro, P. H., Kaptsis, D., & Zwaans, T. (2014). Adolescent simulated gambling via digital and social media: An emerging problem. Computers in Human Behavior, 31, 305–313. https://doi.org/10.1016/j.chb.2013.10.048
  • King, D. L., Gainsbury, S. M., Delfabbro, P. H., Hing, N., & Abarbanel, B. (2015). Distinguishing between gaming and gambling activities in addiction research. Journal of Behavioral Addictions, 4(4), 215–220. https://doi.org/10.1556/2006.4.2015.045
  • Kreek, M., Nielsen, D., Butelman, E., & LaForge, S. K. (2005). Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nature Neuroscience, 8(11), 1450–1457. https://doi.org/10.1038/nn1583
  • Kristiansen, S., & Severin, M. C. (2020). Loot box engagement and problem gambling among adolescent gamers: Findings from a national survey. Addictive Behaviors, 103, 106254. https://doi.org/10.1016/j.addbeh.2019.106254
  • Liu, L., Xue, G., Potenza, M. N., Zhang, J. T., Yao, Y. W., Xia, C. C., Lan, J., Ma, S. S., & Fang, X. Y. (2017). Dissociable neural processes during risky decision-making in individuals with internet-gaming disorder. NeuroImage: Clinical, 14, 741–749. https://doi.org/10.1016/j.nicl.2017.03.010
  • Li, W., Mills, D., & Nower, L. (2019). The relationship of loot box purchases to problem video gaming and problem gambling. Addictive Behaviors, 97, 27–34. https://doi.org/10.1016/j.addbeh.2019.05.016
  • Limbrick-Oldfield, E. H., Mick, I., Cocks, R. E., Flechais, R., Turton, S., Lingford-Hughes, A., Bowden-Jones, H., & Clark, L. (2020). Neural and neurocognitive markers of vulnerability to gambling disorder: A study of unaffected siblings. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 45(2), 292–300. https://doi.org/10.1038/s41386-019-0534-1
  • Loo, J. M. Y., Kraus, S. W., & Potenza, M. N. (2019). A systematic review of gambling-related findings from the national Epidemiologic Survey on Alcohol and Related Conditions. Journal of Behavioral Addictions, 8(4), 625–648. https://doi.org/10.1556/2006.8.2019.64
  • Macey, J., Abarbanel, B., & Hamari, J. (2020). What predicts esports betting? A study on consumption of video games, eSports, gambling and demographic factors. New Media and Society, 22, 1–25. https://doi.org/10.1177/1461444820908510
  • Macey, J., & Hamari, J. (2019). eSports, skins and loot boxes: Participants, practices and problematic behaviour associated with emergent forms of gambling. New Media & Society, 21(1), 20–41. https://doi.org/10.1177/1461444818786216
  • Marchica, L. A., Keough, M. T., Montreuil, T. C., & Derevensky, J. L. (2020). Emotion regulation interacts with gambling motives to predict problem gambling among emerging adults. Addictive Behaviors, 106, 106378. https://doi.org/10.1016/j.addbeh.2020.106378
  • Markiewicz, L., & Weber, E. U. (2013). DOSPERT's gambling risk-taking propensity scale predicts excessive stock trading. Journal of Behavioral Finance, 14(1), 65–78. https://doi.org/10.1080/15427560.2013.762000
  • Maté, G. (2010). In the realm of hungry ghosts. North Atlantic Books.
  • McBride, J., & Derevensky, J. (2017). Gambling and video game playing among youth. Journal of Gambling Issues, 34(34), 156–178. https://doi.org/10.4309/jgi.2016.34.9
  • Mills, D. J., Marchica, L., Keough, M. T., & Derevensky, J. L. (2020). Exploring differences in substance use among emerging adults at-risk for problem gambling, and/or problem video gaming. International Gambling Studies, 20, 1–17. https://doi.org/10.1080/14459795.2020.1752768
  • Nielsen Superdata Research. (2020). 2019 year in review. Retrieved May 15, 2020, from https://www.superdataresearch.com/reports/2019-year-in-review
  • Nowak, D. E. (2018). A meta-analytical synthesis and examination of pathological and problem gambling rates and associated moderators among college students, 1987–2016. Journal of Gambling Studies, 34(2), 465–498. https://doi.org/10.1007/s10899-017-9726-y
  • Nowak, D. E., & Aloe, A. M. (2014). The prevalence of pathological gambling among college students: A meta-analytic synthesis, 2005–2013. Journal of Gambling Studies, 30(4), 819–843. https://doi.org/10.1007/s10899-013-9399-0
  • Penelo, E., Granero, R., Fernández-Aranda, F., Aymamí, N., Gómez-Peña, M., Moragas, L., Santamaría, J. J., Custal, N., Menchón, J. M., & Jiménez-Murcia, S. (2012). Comparison between immigrant and Spanish native-born pathological gambling patients. Psychological Reports, 110(2), 555–570. https://doi.org/10.2466/02.18.PR0.110.2.555-570
  • Petry, N. M., Rehbein, F., Ko, C. H., & O'Brien, C. P. (2015). Internet gaming disorder in the DSM-5. Current Psychiatry Reports, 17(9), 72. https://doi.org/10.1007/s11920-015-0610-0
  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
  • Rinker, D. V., Rodriguez, L. M., Krieger, H., Tackett, J. L., & Neighbors, C. (2016). Racial and ethnic differences in problem gambling among college students. Journal of Gambling Studies, 32(2), 581–590. https://doi.org/10.1007/s10899-015-9563-9
  • Russell, L. L. H., & Johnson, E. I. (2017). Parenting emerging adults who game excessively: Parents' lived experiences. Issues in Mental Health Nursing, 38(1), 66–74. https://doi.org/10.1080/01612840.2016.1253808
  • Sanders, J., & Williams, R. (2019). The relationship between video gaming, gambling, and problematic levels of video gaming and gambling. Journal of Gambling Studies, 35(2), 559–569. https://doi.org/10.1007/s10899-018-9798-3
  • Shou, Y., & Olney, J. (2020). Assessing a domain-specific risk-taking construct: A meta-analysis of reliability of the DOSPERT scale. Judgment and Decision Making, 15(1), 112–134.
  • Singh-Manoux, A., Marmot, M. G., & Adler, N. E. (2005). Does subjective social status predict health and change in health status better than objective status? Psychosomatic Medicine, 67(6), 855–861. https://journals.lww.com/psychosomaticmedicine/FullText/2005/11000/Does_Subjective_Social_Status_Predict_Health_and.5.aspx https://doi.org/10.1097/01.psy.0000188434.52941.a0
  • Statistica. (2019). Age breakdown of video game players in the United States in 2019. Retrieved May 15, 2020, from https://www.statista.com/statistics/189582/age-of-us-video-game-players-since-2010/
  • Stockdale, L., & Coyne, S. M. (2018). Video game addiction in emerging adulthood: Cross-sectional evidence of pathology in video game addicts as compared to matched healthy controls. Journal of Affective Disorders, 225, 265–272. https://doi.org/10.1016/j.jad.2017.08.045
  • Substance Abuse & Mental Health Services Administration (SAMHSA). (2019). Key substance use and mental health indicators in the United States: Results from the 2018 national survey on drug use and health (HHS Publication No. PEP19-5068, NSDUH Series H-54). Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. https://www.samhsa.gov/data/
  • Teichert, T., Gainsbury, S. M., & Mühlbach, C. (2017). Positioning of online gambling and gaming products from a consumer perspective: A blurring of perceived boundaries. Computers in Human Behavior, 75, 757–765. https://doi.org/10.1016/j.chb.2017.06.025
  • Terriquez, V., & Gurantz, O. (2015). Financial challenges in emerging adulthood and students’ decisions to stop out of college. Emerging Adulthood, 3(3), 204–214. https://doi.org/10.1177/2167696814550684
  • Tomić, N. Z. (2018). Economic model of microtransactions in video games. Journal of Economic Science Research, 1, 17–23.
  • Topp, C. W., Østergaard, S. D., Søndergaard, S., & Bech, P. (2015). The WHO-5 well-being index: A systematic review of the literature. Psychotherapy and Psychosomatics, 84(3), 167–176. https://doi.org/10.1159/000376585
  • Vance, P. E. (2019). What parents need to know about loot boxes (and other in-game purchases). Retrieved May 15, 2020, from https://www.esrb.org/blog/what-parents-need-to-know-about-loot-boxes-and-other-in-game-purchases/
  • van Rooij, A. J., Schoenmakers, T. M., & van de Mheen, D. (2017). Clinical validation of the C-VAT 2.0 assessment tool for gaming disorder: A sensitivity analysis of the proposed DSM-5 criteria and the clinical characteristics of young patients with ‘video game addiction’. Addictive Behaviors, 64, 269–274. https://doi.org/10.1016/j.addbeh.2015.10.018
  • Wang, Y., Hu, Y., Xu, J., Zhou, H., Lin, X., Du, X., & Dong, G. (2017). Dysfunctional prefrontal function is associated with impulsivity in people with internet gaming disorder during a delay discounting task. Frontiers in Psychiatry, 8, 287. https://doi.org/10.3389/fpsyt.2017.00287
  • Welte, J. W., Barnes, G. M., Tidwell, M. C., & Hoffman, J. H. (2011). Gambling and problem gambling across the lifespan. Journal of Gambling Studies, 27(1), 49–61. https://doi.org/10.1007/s10899-010-9195-z
  • WHO. (1998). Wellbeing measures in primary health care/The Depcare Project. WHO Regional Office for Europe.
  • WHO. (2019). Sharpening the focus on gaming disorder. Bulletin of the World Health Organization, 97, 382–383. https://www.who.int/bulletin/volumes/97/6/19-020619/en/
  • Wilson, M. J., & Vassileva, J. (2018). Decision-making under risk, but not under ambiguity, predicts pathological gambling in discrete types of abstinent substance users. Frontiers in Psychiatry, 9, 239. https://doi.org/10.3389/fpsyt.2018.00239
  • Winters, K. C., Stinchfield, R. D., & Fulkerson, J. (1993). Toward the development of an adolescent problem severity scale. Journal of Gambling Studies, 9(1), 63–84. https://doi.org/10.1007/BF01019925
  • Winters, K. C., Stinchfield, R. D., & Kim, L. G. (1995). Monitoring adolescent gambling in Minnesota. Journal of Gambling Studies, 11(2), 165–183. https://doi.org/10.1007/BF02107113
  • Wong, G., Zane, N., Saw, A., & Chan, A. K. K. (2013). Examining gender differences for gambling engagement and gambling problems among emerging adults. Journal of Gambling Studies, 29(2), 171–189. https://doi.org/10.1007/s10899-012-9305-1
  • Worthy, S. L., Jonkman, J., & Blinn-Pike, L. (2010). Sensation-seeking, risk-taking, and problematic financial behaviors of college students. Journal of Family and Economic Issues, 31(2), 161–170. https://doi.org/10.1007/s10834-010-9183-6
  • Yau, Y. H., & Potenza, M. N. (2015). Gambling disorder and other behavioral addictions: Recognition and treatment. Harvard Review of Psychiatry, 23(2), 134–146. https://doi.org/10.1097/HRP.0000000000000051
  • Zendle, D., Ballou, N., & Meyer, R. (2019). The changing face of desktop video game monetisation: An exploration of trends in loot boxes, pay to win, and cosmetic microtransactions in the most-played steam games of 2010–2019. PLoS One, 15(5), e0232780. https://doi.org/10.1371/journal.pone.0232780
  • Zendle, D., & Cairns, P. (2019a). Video game loot boxes are linked to problem gambling: Results of a large-scale survey. Plos One, 13(11), e0206767. https://doi.org/10.1371/journal.pone.0206767
  • Zendle, D., & Cairns, P. (2019b). Loot boxes are again linked to problem gambling: Results of a replication study. PLOS One, 14(3), e0213194. https://doi.org/10.1371/journal.pone.0213194
  • Zendle, D., Meyer, R., & Over, H. (2019). Adolescents and loot boxes: Links with problem gambling and motivations for purchase. Royal Society Open Science, 6(6), 190049. https://doi.org/10.1098/rsos.190049
  • Zendle, D., Meyer, R., Cairns, P., Waters, S., & Ballou, N. (2020). The prevalence of loot boxes in mobile and desktop games. Addiction, 115, 1–7. https://doi.org/10.1111/add.14973
  • Zimerman, L., Shalvi, S., & Bereby-Meyer, Y. (2014). Self-reported ethical risk taking tendencies predict actual dishonesty. Judgment and Decision Making, 9(1), 58–64. https://pure.uva.nl/ws/files/2755580/171005_522357.pdf

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