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The Impact of Online Gambling on Mental Health in New Zealand: A Comparative Study

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  • Mark Dash,
  • Edward Howard
Published in : International Journal of Scientific Research and Management (IJSRM) , Vol. 12 No. 06 (2024)

Submission to VIJ 2024-06-25

Keywords

  • Online Gambling, Mental Health, New Zealand, Gambling Addiction, Anxiety, Depression, Comparative Study, Regulatory Measures, Public Awareness, International Comparisons.

Copyright (c) 2024 Mark Dash, Edward Howard

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Online gambling has witnessed exponential growth globally, facilitated by the proliferation of internet access and digital platforms. This phenomenon has sparked significant concerns regarding its potential impact on mental health, particularly in regions like New Zealand where gambling is popular. This paper endeavors to investigate the relationship between online gambling and mental health outcomes within the unique socio-cultural context of New Zealand, comparing these impacts with those of traditional forms of gambling.

The introduction of online gambling has revolutionized the accessibility and convenience of participating in gambling activities. In New Zealand, as in many other jurisdictions, this shift has prompted regulatory responses aimed at managing potential risks while balancing consumer demand and industry growth. Despite these efforts, the pervasive nature of online gambling introduces distinct challenges that may exacerbate issues related to mental health.

The study will begin by reviewing existing literature on global trends in online gambling and its documented effects on mental health. This will include an analysis of regulatory frameworks implemented in various countries to address these concerns, highlighting successes and challenges in consumer protection and harm minimization strategies. Psychological theories and models explaining addictive behaviors associated with online gambling will be explored to provide a theoretical foundation for understanding the observed impacts.

A key focus of this research will be a comparative analysis between online gambling and traditional forms of gambling prevalent in New Zealand, such as land-based casinos and sports betting. By contrasting these modalities, the study aims to elucidate whether online gambling uniquely intensifies mental health risks or presents analogous challenges to traditional gambling activities.

Methodologically, the study will employ a mixed-methods approach. Quantitative analysis will draw upon national gambling prevalence surveys and data from online gambling platforms to assess the prevalence of online gambling in New Zealand and profile its participants. Qualitative research will involve in-depth interviews with online gamblers and mental health professionals to capture nuanced insights into the psychological and emotional impacts experienced.

Findings from the study are expected to contribute empirical evidence on the prevalence of online gambling in New Zealand, alongside comparative assessments of mental health outcomes between online and traditional gamblers. Specific risk factors associated with online gambling addiction and deterioration in mental health will be identified, shedding light on mechanisms through which these impacts manifest.

The implications of these findings for policy and regulation will be discussed, emphasizing the need for adaptive strategies that safeguard mental well-being without stifling technological innovation or economic contributions from the gambling sector. Recommendations will be made for enhancing existing regulatory frameworks to ensure they adequately address the unique challenges posed by online gambling while promoting responsible gambling practices.

This research seeks to advance understanding of the complex interplay between online gambling and mental health in New Zealand. By elucidating comparative impacts and exploring regulatory responses, the study aims to inform evidence-based interventions that support public health objectives while fostering a sustainable gambling environment.

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References

  1. Bellringer, M. E., & Garrett, N. (2021). Risk factors for increased online gambling during covid-19 lockdowns in New Zealand: A longitudinal study. International Journal of Environmental Research and Public Health, 18(24), 12946.
  2. Blaszczynski, A., Russell, A., Gainsbury, S., & Hing, N. (2016). Mental health and online, land-based and mixed gamblers. Journal of Gambling Studies, 32, 261-275.
  3. Sobrun-Maharaj, A., Rossen, F., & Wong, A. S. K. (2012). The impact of gambling and problem gambling on Asian families and communities in New Zealand. UniServices.
  4. Abbott, M. (2017). Gambling and gambling harm in New Zealand: a 28-year case study. International Journal of Mental Health and Addiction, 15, 1221-1241.
  5. Rossen, F. V., Clark, T., Denny, S. J., Fleming, T. M., Peiris-John, R., Robinson, E., & Lucassen, M. F. (2016). Unhealthy gambling amongst New Zealand secondary school students: An exploration of risk and protective factors. International Journal of Mental Health and Addiction, 14, 95-110.
  6. Drummond, A., Sauer, J. D., Ferguson, C. J., & Hall, L. C. (2020). The relationship between problem gambling, excessive gaming, psychological distress and spending on loot boxes in Aotearoa New Zealand, Australia, and the United States—A cross-national survey. Plos one, 15(3), e0230378.
  7. Gainsbury, S. M., Russell, A., Hing, N., Wood, R., & Blaszczynski, A. (2013). The impact of internet gambling on gambling problems: a comparison of moderate-risk and problem Internet and non-Internet gamblers. Psychology of Addictive Behaviors, 27(4), 1092.
  8. Browne, M., Bellringer, M., Greer, N., Kolandai-Matchett, K., Langham, E., Rockloff, M., ... & Abbott, M. (2017). Measuring the burden of gambling harm in New Zealand.
  9. Rossen, F. V., Lucassen, M. F., Fleming, T. M., Sheridan, J., & Denny, S. J. (2016). Adolescent gambling behaviour, a single latent construct and indicators of risk: Findings from a national survey of New Zealand high school students. Asian journal of gambling issues and public health, 6, 1-12.
  10. Abbott, M., Bellringer, M., Garrett, N., & Kolandai-Matchett, K. (2017). Design and methods of the New Zealand national gambling study, a prospective cohort study of gambling and health: 2012–2019. International Journal of Mental Health and Addiction, 15, 1242-1269.
  11. Dullur, P., & Hay, P. (2017). Problem internet use and internet gaming disorder: a survey of health literacy among psychiatrists from Australia and New Zealand. Australasian Psychiatry, 25(2), 140-145.
  12. Kolandai-Matchett, K., Langham, E., Bellringer, M., & Siitia, P. A. H. (2017). How gambling harms experienced by Pacific people in New Zealand amplify when they are culture-related. Asian journal of gambling issues and public health, 7, 1-20.
  13. Chóliz, M., Marcos, M., & Lázaro-Mateo, J. (2021). The risk of online gambling: A study of gambling disorder prevalence rates in Spain. International Journal of Mental Health and Addiction, 19, 404-417.
  14. Gainsbury, S. M. (2015). Online gambling addiction: the relationship between internet gambling and disordered gambling. Current addiction reports, 2(2), 185-193.
  15. Tu, D., Gray, R. J., & Walton, D. K. (2014). Household experience of gambling-related harm by socio-economic deprivation in New Zealand: increases in inequality between 2008 and 2012. International Gambling Studies, 14(2), 330-344.
  16. Palmer du Preez, K., Landon, J., Bellringer, M., Garrett, N., & Abbott, M. (2016). The effects of pop-up harm minimisation messages on electronic gaming machine gambling behaviour in New Zealand. Journal of Gambling Studies, 32, 1115-1126.
  17. Van Der Maas, M., Shi, J., Elton-Marshall, T., Hodgins, D. C., Sanchez, S., Lobo, D. S., ... & Turner, N. E. (2019). Internet-based interventions for problem gambling: Scoping review. JMIR Mental Health, 6(1), e65.
  18. Rimal, R., Shepherd, R. M., Curley, L. E., & Sundram, F. (2023). Perspectives from gambling expert stakeholders in relation to electronic gaming machines in New Zealand. Health Policy, 136, 104897.
  19. Clarke, D., Abbott, M., Tse, S., Townsend, S., Kingi, P., & Manaia, W. (2006). Gender, age, ethnic and occupational associations with pathological gambling in a New Zealand urban sample. New Zealand Journal of Psychology, 35(2).
  20. Clarke, D., Abbott, M., Tse, S., Townsend, S., Kingi, P., & Manaia, W. (2006). Gender, age, ethnic and occupational associations with pathological gambling in a New Zealand urban sample. New Zealand Journal of Psychology, 35(2).
  21. Rawat, V., Browne, M., Bellringer, M., Greer, N., Kolandai-Matchett, K., Rockloff, M., ... & Abbott, M. (2018). A tale of two countries: Comparing disability weights for gambling problems in New Zealand and Australia. Quality of Life Research, 27, 2361-2371.
  22. Rizvi, S. M. H. (2024). Advanced Analytical Techniques for Characterizing Petroleum-Derived Contaminants in the Environment. Valley International Journal Digital Library, 125-134.
  23. Holland, K., Tu, D., Gray, R., Hudson, S., & Li, J. (2017). New Zealanders’ Knowledge, views and experience of gambling and gambling harm: Results from the 2014 Health and Lifestyles Survey. Wellington: Health Promotion Agency Research and Evaluation Unit.
  24. Smith, M., Chambers, T., Abbott, M., & Signal, L. (2020). High stakes: Children’s exposure to gambling and gambling marketing using wearable cameras. International Journal of Mental Health and Addiction, 18, 1025-1047.
  25. Hing, N., Smith, M., Rockloff, M., Thorne, H., Russell, A. M., Dowling, N. A., & Breen, H. (2022). How structural changes in online gambling are shaping the contemporary experiences and behaviours of online gamblers: An interview study. BMC Public Health, 22(1), 1620.
  26. Rizvi, S. M. H. (2024). Nanotechnology Applications in Enhanced Oil Recovery (EOR). Valley International Journal Digital Library, 135-143.
  27. Abbott, M. W. (2020). The changing epidemiology of gambling disorder and gambling-related harm: public health implications. Public health, 184, 41-45.
  28. Rizvi, S. M. H. (2024). Development of Sustainable Bio-Based Polymers as Alternatives to Petrochemical Plastics. Valley International Journal Digital Library, 107-124.
  29. JOY, L., RUH, L., & Talati, D. An Exploration of Cognitive Assistants and Their Challenges.
  30. GEORGE CHRISTOPHER, D. T. AI-Based Personalized Healthcare: Tailoring Treatment and Transforming Patient.
  31. Talati, D. V. AI Integration with Electronic Health Records (EHR): A Synergistic Approach to Healthcare Informatics December, 2023.
  32. Nagesh, C., Chaganti, K. R., Chaganti, S., Khaleelullah, S., Naresh, P., & Hussan, M. (2023). Leveraging Machine Learning based Ensemble Time Series Prediction Model for Rainfall Using SVM, KNN and Advanced ARIMA+ E-GARCH. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7s), 353-358.
  33. Talati, D. (2023). Artificial Intelligence (Ai) In Mental Health Diagnosis and Treatment. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 251-253.
  34. Chaganti, K. R., Ramula, U. S., Sathyanarayana, C., Changala, R., Kirankumar, N., & Gupta, K. G. (2023, November). UI/UX Design for Online Learning Approach by Predictive Student Experience. In 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 794-799). IEEE.
  35. Talati, D. (2023). Telemedicine and AI in Remote Patient Monitoring. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 254-255.
  36. Chaganti, K. R., & Chaganti, S. Deep Learning Based NLP and LSTM Models for Sentiment Classification of Consumer Tweets.
  37. Tatineni, S. (2018). Federated Learning for Privacy-Preserving Data Analysis: Applications and Challenges. International Journal of Computer Engineering and Technology, 9(6).
  38. Potenza, M. N., Steinberg, M. A., McLaughlin, S. D., Wu, R., Rounsaville, B. J., & O’Malley, S. S. (2001). Gender-related differences in the characteristics of problem gamblers using a gambling helpline. American Journal of Psychiatry, 158(9), 1500-1505.
  39. Tatineni, S. (2019). Beyond Accuracy: Understanding Model Performance on SQuAD 2.0 Challenges. International Journal of Advanced Research in Engineering and Technology (IJARET), 10(1), 566-581.
  40. Browne, M., Greer, N., Rawat, V., & Rockloff, M. (2017). A population-level metric for gambling-related harm. International Gambling Studies, 17(2), 163-175.
  41. Tatineni, S. Challenges and Strategies for Optimizing Multi-Cloud Deployments in DevOps.
  42. Williams, R. J., & Wood, R. T. (2007). Internet gambling: A comprehensive review and synthesis of the literature.
  43. Tatineni, S. (2023). Cloud-Based Reliability Engineering: Strategies for Ensuring High Availability and Performance. International Journal of Science and Research (IJSR), 12(11), 1005-1012.
  44. Sellman, J. D., Adamson, S., Robertson, P., Sullivan, S., & Coverdale, J. (2002). Gambling in mild–moderate alcohol-dependent outpatients. Substance use & misuse, 37(2), 199-213.
  45. Tatineni, S., & Allam, K. (2024). DevOps Security: Integrating Security into the DevOps Workflow. EPH-International Journal of Science And Engineering, 10(1), 13-21.
  46. Hing, N., Russell, A., Tolchard, B., & Nuske, E. (2015). Are there distinctive outcomes from self-exclusion? An exploratory study comparing gamblers who have self-excluded, received counselling, or both. International Journal of Mental Health and Addiction, 13, 481-496.
  47. Tatineni, S. (2021). Exploring the Challenges and Prospects in Data Science and Information Professions. International Journal of Management (IJM), 12(2), 1009-1014.
  48. Hing, N., Russell, A. M., Gainsbury, S. M., & Nuske, E. (2016). The public stigma of problem gambling: Its nature and relative intensity compared to other health conditions. Journal of Gambling Studies, 32, 847-864.
  49. Tatineni, S. (2023). Addressing Privacy and Security Concerns Associated with the Increased Use of IoT Technologies in the US Healthcare Industry. Technix International Journal for Engineering Research (TIJER), 10(10), 523-534.
  50. King, D. L., Delfabbro, P. H., Doh, Y. Y., Wu, A. M., Kuss, D. J., Pallesen, S., ... & Sakuma, H. (2018). Policy and prevention approaches for disordered and hazardous gaming and Internet use: An international perspective. Prevention Science, 19(2), 233-249.
  51. Tatineni, S. (2023). Embedding AI Logic and Cyber Security into Field and Cloud Edge Gateways. International Journal of Science and Research (IJSR), 12(10), 1221-1227.
  52. Echeburúa, E., Báez, C., & Fernández-Montalvo, J. (1996). Comparative effectiveness of three therapeutic modalities in the psychological treatment of pathological gambling: Long-term outcome. Behavioural and cognitive psychotherapy, 24(1), 51-72.
  53. Tatineni, S. (2023). Security and Compliance in Parallel Computing Cloud Services. International Journal of Science and Research (IJSR), 12(10), 972-1977.
  54. Hardoon, K. K., & Derevensky, J. L. (2002). Child and adolescent gambling behavior: Current knowledge. Clinical Child Psychology and Psychiatry, 7(2), 263-281.
  55. Tatineni, S. (2019). Ethical Considerations in AI and Data Science: Bias, Fairness, and Accountability. International Journal of Information Technology and Management Information Systems (IJITMIS), 10(1), 11-21.