Differences in gambling behaviors and mental health depending on types of gambling motives among young adults in Korea

References

• Anderson, G., & Brown, R. I. F. (1984). Real and laboratory gambling, sensation‐seeking, and arousal. British Journal of Psychology, 75(3), 401–410. https://doi.org/10.1111/j.2044-8295.1984.tb01910.x
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Barrault, S., Mathieu, S., Brunault, P., & Varescon, I. (2019). Does gambling type moderate the links between problem gambling, emotion regulation, anxiety, depression and gambling motives. International Gambling Studies, 19(1), 54–68. https://doi.org/10.1080/14459795.2018.1501403
   Web of Science ®Google Scholar
• Black, D. W., & Moyer, T. (1998). Clinical features and psychiatric comorbidity of subjects with pathological gambling behavior. Psychiatric Service, 49(11) , 1434–1439.
   PubMed Web of Science ®Google Scholar
• Blaszczynski, A., & McConaghy, N. (1989). Anxiety and/or depression in the pathogenesis of addictive gambling. The International Journal of the Addictions, 24(4), 337–350. https://doi.org/10.3109/10826088909047292
   PubMed Web of Science ®Google Scholar
• Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499. https://doi.org/10.1046/j.1360-0443.2002.00015.x
   PubMed Web of Science ®Google Scholar
• Canale, N., Vieno, A., Pastore, M., Ghisi, M., & Griffiths, M. D. (2016). Validation of the 8-item Attitudes Toward Gambling Scale (ATGS–8) in a British population survey. Addictive Behaviors, 54(2016), 70–74.
   PubMedGoogle Scholar
• Chantal, Y., & Vallerand, R. J. (1996). Skill versus luck: A motivational analysis of gambling involvement. Journal of Gambling Studies, 12(4), 407–418. https://doi.org/10.1007/BF01539185
   PubMedGoogle Scholar
• Chin, M., Han, J., & Noh, S. (2019). An association between latent profiles of marriage and childbirth attitudes and individual perceptions on Korean society and own future prospect among young adults. Family and Culture, 31(1), 166–188.
   Google Scholar
• Cooper, M. L. (1994). Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychological Assessment, 6(2), 117–128.
   Google Scholar
• Cooper, M. L., Russell, M., Skinner, J. B., & Windle, M. (1992). Development and validation of a three-dimensional measure of drinking motives. Psychological Assessment, 4(2), 123–132. https://doi.org/10.1037/1040-3590.4.2.123
   Google Scholar
• Couper, M. (2000). Web survey: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494.
   PubMed Web of Science ®Google Scholar
• Cox, W. M., & Klinger, E. (1988). A motivational model of alcohol use. Journal of Abnormal Psychology, 97(2), 168–180.
   PubMed Web of Science ®Google Scholar
• Custer, R. L. (1984). Profile of the pathological gambler. The Journal of Clinical Psychiatry, 45(12, Sect 2) , 35–38.
   PubMed Web of Science ®Google Scholar
• DiClemente, C. C., Story, M., & Murray, K. (2000). On a roll: The process of initiation and cessation of problem gambling among adolescents. Journal of Gambling Studies, 16(2), 289–313.
   PubMedGoogle Scholar
• Erikson, E. H. (1982). The life–cycle completed. WW Norton & Company.
   Google Scholar
• Ferris, J., & Wynn, H. (2001). The Canadian problem gambling index: Final report. Canadian Centre on Substance Abuse.
   Google Scholar
• Flack, M., & Morris, M. (2015). Problem gambling: One for the money … ? Journal of Gambling Studies, 31(4), 1561–1578.
   PubMed Web of Science ®Google Scholar
• Flack, M., & Stevens, M. (2019). Gambling motivation: Comparisons across gender and preferred activity. International Gambling Studies, 19(1), 69–84. https://doi.org/10.1080/14459795.2018.1505936
   Web of Science ®Google Scholar
• Furukawa, T. A., Kessler, R. C., Slade, T., & Andrews, G. (2003). The performance of the K6 and K10 screening scales for psychological distress in the Australian national survey of mental health and well-being. Psychological Medicine, 33(2), 357–362. https://doi.org/10.1017/S0033291702006700
   PubMed Web of Science ®Google Scholar
• Griffiths, M. D., & Delfabbro, P. (2001). The biopsychosocial approach to gambling: Contextual factors in research and clinical interventions. Journal of Gambling Issues, 5, 1–33. https://irep.ntu.ac.uk/id/eprint/20869/.
   Google Scholar
• Håkansson, A., Fernández-Aranda, F., Menchón, J. M., Potenza, M. N., & Jiménez-Murcia, S. (2020). Gambling during the COVID–19 crisis – a cause for concern? Journal of Addiction Medicine, 14(4), e10–12.
   PubMed Web of Science ®Google Scholar
• Herscovitch, A. G. (1999). Alcoholism and pathological gambling: Similarities and differences. Learning Publications.
   Google Scholar
• Ibanez, A., Blanco, C., Donahue, E., Lesieur, H., Perez de Castro, I., Fernandez-Piqueras, J., & Saiz-Ruiz, J. (2001). Psychiatric comorbidity in pathological gamblers seeking treatment. The American Journal of Psychiatry, 158(10), 1733–1735. https://doi.org/10.1176/ajp.158.10.1733
   PubMed Web of Science ®Google Scholar
• Jacobs, D. F. (1987). A general theory of addiction: Application to treatment and rehabilitation planning for pathological gamblers. In T. Galski (Ed.), The handbook of pathological gambling (pp. 169–194). Charles C. Thomas.
   Google Scholar
• Jang, J. I., Yoon, I. N., & Kim, S. B. (2014). The relationship between the stress and gamble addiction in college students: Test of moderating effect of self-control. Korean Journal of Youth Studies, 21(11), 101–123.
   Google Scholar
• Jung, T., & Wickrama, K. A. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302–317. https://doi.org/10.1111/j.1751-9004.2007.00054.x
   Google Scholar
• Kang, S. J., Yang, H. J., & Moon, J. Y. (2021). A study on the influencing factors between capital income investment and gambling addiction among young people. The Journal of Humanities and Social Science, 12(6), 361–372.
   Google Scholar
• Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., & Mroczek, D. K. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976.
   PubMed Web of Science ®Google Scholar
• Kim, Y., & Byun, J. S. (2000). Sampling trends and problems in internet surveys. Internet Survey Workshop Papers.
   Google Scholar
• Kim, S. H., & Hong, K. Z. (2010). A study on the welfare attitude of Seoul citizens using the latent class analysis. Social Welfare Policy, 37(2), 95–121.
   Google Scholar
• Kim, Y. G., & Hong, H. M. (2021). A study on the impact of COVID–19 pandemic on problem gambling. Journal of Social Science, 60(1), 31–72.
   Google Scholar
• Kim, J. E., Park, J. Y., & Moon, U. J. (2019). Effects of developmental task achievement on young adults’ well-being. Korean Journal of Family Welfare, 24(2), 171–193. https://doi.org/10.13049/kfwa.2019.24.2.4
   Google Scholar
• Klingemann, H. K. H. (1995). Games, risk and prevention: The rehabilitation of Homo Ludens. Journal of Drug and Alcohol Education, 41(1), 99–123.
   Web of Science ®Google Scholar
• Korea Center on Gambling Problems. (2021). COVID–19 and gambling problems.
   Google Scholar
• Lambe, L., Mackinnon, S. P., & Stewart, S. H. (2015). Validation of the gambling motives questionnaire in emerging adults. Journal of Gambling Studies, 31(3), 867–885.
   PubMed Web of Science ®Google Scholar
• Lee, H. P. (2003). The effect of irrational gambling belief to the pathological gambling. Korean Journal of Clinical Psychology, 22(2), 415–434.
   Google Scholar
• Lee, H. P. (2004). The verification of 5 factor gambling motives and effect on the gambling severity. Korean Journal of Health Psychology, 9(3), 555–568.
   Google Scholar
• Lee, H. P., Chae, P. K., Lee, H. S., & Kim, Y. K. (2007). The five-factor gambling motivation model. Psychiatry Research, 150(1), 21–32.
   PubMed Web of Science ®Google Scholar
• Lee, S. B., Choi, Y., & Lee, H. (2021). Influence of socio-economic deprivation on the change patterns of depression in young adults: Focusing on seven areas of deprivation. Korean Journal of Health Education and Promotion, 38(5), 45–56.
   Google Scholar
• Lee, S., Kim, M., & Chung, S. (2019). Identifying subgroups of ageism among young adults, and its relationship to perceptions of generational conflict and elderly welfare policy. Journal of the Korean Gerontological Society, 39(4), 825–846.
   Google Scholar
• Lee, H. S., Lee, H. P., Yoon, J. S., Kim, H. T., Jeon, C. E., & Lee, S. K. (2009). Differential effects of the five motives for gambling on the severity of gambling and on the frequency of illegal gambling. Journal of Korean Academy of Addiction Psychiatry, 13(2), 96–103.
   Google Scholar
• Lesieur, H. R. (1992). Pathological gambling, work and employee assistance. Journal of Employee Assistance Research, 1(1), 32–62.
   Google Scholar
• Lesieur, H. R., & Blume, S. B. (1991). When Lady Luck loses: Women and compulsive gambling. In N. V. D. Bergh (Ed.), Feminist perspectives on addictions (pp. 181–197). Springer Publishing Company.
   Google Scholar
• Levinson, D. J. (1986). A conception of adult development. The American Psychologist, 41(1), 3–13. https://doi.org/10.1037/0003-066X.41.1.3
   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
• Lostutter, T. W., Enkema, M., Schwebel, F., Cronce, J. M., & Garberson, L. A. (2019). Doing it for the money: The relationship between gambling and money attitudes among college students. Journal of Gambling Studies, 35(1), 143–153.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Muthén, B., & Muthén, L. K. (2000). Integrating person centered and variable‐centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism, Clinical and Experimental Research, 24(6), 882–891.
   PubMed Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. (2007). Multilevel modeling with latent variables using Mplus [ Unpublished manuscript].
   Google Scholar
• Na, J. H., Lee, S. K., & Sung, H. Y. (2021). Mediating effect of positive gambling expectancy on the relationship between sensation seeking tendency and gambling problems among college students: Focused on the acquired preparedness model. Forum for Youth Culture, 67, 29–55. https://doi.org/10.17854/ffyc.2021.07.67.29
   Google Scholar
• National Gambling Control Commission. (2021). 2020 Statistics on national gambling.
   Google Scholar
• National Youth Policy Institute. (2019). A Study on the Social and Economic Status of Youth and Policy Measures Ⅳ - Basic Analysis Report. National Youth Policy Institute.
   Google Scholar
• Neighbor, C., Lostutter, T. W., Cronce, M. J., & Larimer, M. E. (2002). Exploring college student gambling motivation. Journal of Gambling Studies, 18(4), 361–370. https://doi.org/10.1023/A:1021065116500
   PubMedGoogle Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Orford, J., Griffiths, M., Wardle, H., Sproston, K., & Erens, B. (2009). Negative public attitudes towards gambling: Findings from the 2007 British gambling prevalence survey using a new attitude scale. International Gambling Studies, 9(1), 39–54. https://doi.org/10.1080/14459790802652217
   Google Scholar
• Petry, N. M., & Kiluk, B. (2002). Suicidal ideation and attempts in treatment-seeking pathological gamblers. The Journal of Nervous and Mental Disease, 190(7), 462–469. https://doi.org/10.1097/00005053-200207000-00007
   PubMed Web of Science ®Google Scholar
• Potenza, M., Xian, H., Shah, K., Scherrer, J., & Eisen, S. (2005). Shared genetic contributions to pathological gambling and major depression in men. Archives of General Psychiatry, 62(9), 769–775. https://doi.org/10.1001/archpsyc.62.9.1015
   PubMed Web of Science ®Google Scholar
• Price, A. (2020). Online gambling in the midst of COVID-19: A nexus of mental health concerns, substance use and financial stress. International Journal of Mental Health and Addiction, 20(1), 362–379. https://doi.org/10.1007/s11469-020-00366-1
   PubMed Web of Science ®Google Scholar
• Quinlan, C. K., Goldstein, A. L., & Stewart, S. H. (2014). An investigation of the link between gambling motives and social context of gambling in young adults. International Gambling Studies, 14(1), 115–131. https://doi.org/10.1080/14459795.2013.855252
   Web of Science ®Google Scholar
• Raghunathan, R., & Pham, M. T. (1999). All negative moods are not equal: Motivational influences of anxiety and sadness on decision making. Organizational Behavior and Human Decision Processes, 79(1), 56–77.
   PubMed Web of Science ®Google Scholar
• Rosenthal, R. J. (1992). Pathological gambling. Psychiatric Annals, 22(2), 72–78.
   Web of Science ®Google Scholar
• Schalkwyk, M. C., Cheetham, D., Reeves, A., & Petticrew, M. (2020). Covid-19: We must take urgent action to avoid an increase in problem gambling and gambling related harms. The BMJ. https://blogs.bmj.com/bmj/2020/04/06/covid-19-we-must-take-urgent-action-to-avoid-an-increase-in-problem-gambling-and-gambling-related-harms/
   Google Scholar
• Schellenberg, B. J., McGrath, D. S., & Dechant, K. (2016). The gambling motives questionnaire financial: Factor structure, measurement invariance, and relationships with gambling behaviour. International Gambling Studies, 16(1), 1–16. https://doi.org/10.1080/14459795.2015.1088559
   Web of Science ®Google Scholar
• Shaffer, H. J., LaPlanter, D. A., LaBrie, R. A., Kidman, R. C., Donato, A. N., & Stanton, M. V. (2004). Toward a syndrome model of addiction: Multiple expressions, common etiology. Harvard Review of Psychiatry, 12(6), 367–374. https://doi.org/10.1080/10673220490905705
   PubMed Web of Science ®Google Scholar
• Sharman, S., Roberts, A., Bowden Jones, H., & Strang, J. (2021). Gambling and COVID–19: Initial findings from a UK sample. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-021-00545-8
   PubMed Web of Science ®Google Scholar
• Shin, T. S. (2010). Latent class study using longitudinal profile analysis and cluster analysis: Comparing growth mixture modeling. Journal of Educational Evaluation, 23(3), 641–664.
   Google Scholar
• Soberay, A., Faragher, J. M., Barbash, M., Brookover, A., & Grimsley, P. (2014). Pathological gambling, co-occurring disorders, clinical presentation, and treatment outcomes at a university-based counseling clinic. Journal of Gambling Studies, 30(1), 61–69. https://doi.org/10.1007/s10899-012-9357-2
   PubMed Web of Science ®Google Scholar
• Stewart, S. H., & Zack, M. (2008). Development and psychometric evaluation of a three‐dimensional Gambling Motives Questionnaire. Addiction, 103(7), 1110–1117.
   PubMed Web of Science ®Google Scholar
• Sztainert, T., Wohl, M. J., McManus, J. F., & Stead, J. D. (2014). On being attracted to the possibility of a win: Reward sensitivity (via gambling motives) undermines treatment seeking among pathological gamblers. Journal of Gambling Studies, 30(4), 901–911. https://doi.org/10.1007/s10899-013-9394-5
   PubMed Web of Science ®Google Scholar
• Tabri, N., Xuereb, S., Cringle, N., & Clark, L. (2022). Associations between financial gambling motives, gambling frequency, and level of problem gambling: A meta-analytic review. Addiction, 117(3), 559–569.
   PubMed Web of Science ®Google Scholar
• Taylor, H. (2000). Does internet research work? International Journal of Market Research, 42(1), 1–11.
   Web of Science ®Google Scholar
• Vaughan, E., & Flack, M. (2022). Depression symptoms, problem gambling, and the role of escape and excitement gambling outcome expectancies. Journal of Gambling Studies, 38(1), 265–278.
   PubMed Web of Science ®Google Scholar
• Vaughan, E., & Flack, M. (2022). Depression symptoms, problem gambling and the role of escape and excitement gambling outcome expectancies. Journal of Gambling Studies, 38(1), 265–278.
   PubMed Web of Science ®Google Scholar
• Vermunt, J. K., & Magidson, J. (2002). Latent class cluster analysis. In J. Hagenaars & A. McCutcheon (Eds.), Applied latent class analysis (pp. 89–106). Cambridge University Press.
   Google Scholar
• Weiner, B. (1980). Human motivation. Holt, Reinhart, and Winston.
   Google Scholar
• Zastrow, C., & Kirst-Ashman, K. K. (2010). Understanding human behavior and the social environment. Thompson Brook/Cole.
   Google Scholar