DIGITAL TRAPS: "AN ANALYSIS OF THE IMPACT OF ONLINE GAMBLING ON MENTAL HEALTH AND FINANCIAL STABILITY"
DOI:
https://doi.org/10.61088/dinar.v9i1.868Keywords:
digital traps, online gambling, mental healthAbstract
The phenomenon of online gambling has experienced a significant rise among the Indonesian population, particularly among youth. The "digital traps" factor plays a substantial role in influencing online gambling behavior in Indonesia. First, ease of access: online gambling can be played anytime and anywhere using smartphones or digital devices. Second, the illusion of control: players often feel they have control over game outcomes, although these are purely based on luck. Third, massive advertisements: the frequent promotion of online gambling on social media exacerbates public interest. Online gambling has negative impacts on mental health and financial well-being, making it highly detrimental to the nation's younger generation.
This study aims to identify the factors influencing online gambling behavior and analyze its effects on mental health and financial well-being. The research employs a mixed-methods approach, combining quantitative and qualitative research methods. The study design uses a Sequential Exploratory Design and an exploratory research model to understand the phenomenon of online gambling. A mixed-methods approach was implemented with a sample of 400 respondents and interviews with 20 participants.
The findings indicate that digital traps (96%), demographics (73.2%), psychological factors (89%), and social influences (94%) significantly affect online gambling behavior. Online gambling also has negative impacts on mental health (stress and anxiety 70%, addiction and dependency 97%, depression 45%, social relationship disorders 20%, sleep disturbances 92%, impulsivity and lack of self-control 87%, productivity decline 24%) and financial well-being (financial losses 95%, mounting debt 75%, financial dependency 70%, asset damage 60%, and difficulty obtaining financial assistance). The study recommends prevention and intervention measures to mitigate the negative impacts of online gambling.
References
Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5).
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
Bronfenbrenner, U. (1979). The ecology of human development. Harvard University Press.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.
David M. Ledgerwood, et al. (2018), The Financial and Psychological Consequences of Online Gambling" Journal of Gambling Studies, Vol. 34, No. 2. https://doi.org/10.1007/s10899-017-9684-6
Fakultas Psikologi Universitas Indonesia (2020), "Dampak Perjudian Online terhadap Kesehatan Mental", Jurnal Psikologi UI, Vol. 48, No. 1. https://doi.org/10.22146/jpsi.48451
Gainsbury, S. M., Russell, A., Hing, N., Wood, R., Lubman, D., & Blaszczynski, A. (2015). The prevalence and determinants of problem gambling in Australia: Assessing the impact of interactive gambling and new technologies. Psychology of Addictive Behaviors, 29(3).
Green, S. B., & Salkind, N. J. (2014). Using SPSS for Windows and Macintosh. Prentice Hall.
Griffiths, M. D., & Parke, J. (2010). Adolescent gambling on the Internet: A review. International Journal of Adolescent Medicine and Health, 22(1), 59–75.
Helen E. S. Rosenberg (2020), The Relationship Between Online Gambling and Mental Health" Journal of Behavioral Addictions, Vol. 9, No. 2. https://doi.org/10.1556/2006.2020.00035
Hinch, T. D., et al. (2017). The social ecology of online gambling. Journal of Gambling Studies, 33(3), 751-765.
IMF (2020). The Economic Impact of Online Gambling.
José A. Piqueras, et al. (2019), Online Gambling Addiction: A Systematic Review" Journal of Behavioral Addictions, Vol. 8, No. 3. https://doi.org/10.1556/2006.2019.00024
Kementerian Komunikasi dan Informatika. (2022). Survei Pengguna Internet di Indonesia.
Kessler et al. (2008). DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychological Medicine, 38(9), 1351-1360.
Kessler, R. C., Hwang, I., LaBrie, R., Petukhova, M., Sampson, N. A., & Winters, K. C. (2008). DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychological Medicine, 38(9), 1351-1360.
Kim, H. S., Hodgins, D. C., Bellringer, M., & Abbott, M. (2017). Gender differences among help-seeking gamblers: A systematic review. Journal of Gambling Studies, 32(2).
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Krippendorff, K. (2004). Content analysis: An introduction to its methodology. Sage Publications.
LaBrie et al. (2012). The relationship between demographics and online gambling. Journal of Gambling Studies, 28(3), 449-461.
Muhammad Faisal (2019), "Perjudian Online di Indonesia: Tinjauan Hukum dan Psikologis" Jurnal Hukum dan Peradilan, Vol. 10, No. 1. https://doi.org/10.25216/jhp.2019.10.1.5
Patton, M. Q. (2002). Qualitative research and evaluation methods. Sage Publications.
Shaffer, H. J., LaPlante, D. A., & Nelson, S. E. (2020). Financial losses and psychological distress in gambling: The relationship between financial harm and mental health outcomes. Journal of Gambling Studies, 36(4).
Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage Publications.
UNESCO (2018). Education for All: Global Monitoring Report.
Walker, M. B., Hinch, T. D., & Marsh, T. (2012). The economics of gambling. Routledge.
Wardle, H., et al. (2011). Understanding gambling behaviour and risk factors: Evidence from mixed-method studies. Journal of Gambling Studies, 27(1), 1–10.
Wardle, H., Reith, G., Best, D., McDaid, D., & Platt, S. (2019). Measuring gambling-related harms: A framework for action. Public Health, 84(3).
WHO (2019). Mental Health and Substance Abuse.
Yin, R. K. (2018). Case Study Research and Applications: Design and Methods. Sage Publications.
Young, K. (2009). Understanding online gaming addiction and treatment issues for adolescents. American Journal of Family Therapy, 37(5), 355-372. https://doi.org/10.1080/01926180902942191
