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Sociodemographic Correlates and Morbidity in Lottery Gamblers: Results from a Population Survey

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Abstract

The aim of the current study was to examine the socio-demographic correlates, the association of mental and physical illness, and the prevalence of pathological gambling among three groups (1) those with lottery gambling only (2) those with lottery and other types of gambling and (3) those with other types of gambling only—such as playing cards, sports betting, horse racing, casino gambling etc. Data was used from a nationwide cross-sectional epidemiological nationally representative survey of the resident (Singapore Citizens and Permanent Residents) population in Singapore of 6616 Singaporean adults aged 18 years and older. All respondents were administered the South Oaks Gambling Screen to screen for pathological gambling. The diagnoses of mental disorders were established using the Composite International Diagnostic Interview and relevant socio-demographic data was collected using a structured questionnaire. Lottery gambling was by far the most popular form of gambling in Singapore, with 83.5 % of those who had ever gambled indicating that they had participated in lottery gambling. Those who participated in lottery gambling alone were more likely to belong to the older age group (as compared to the 18–35 years age group), be of Indian ethnicity, have a secondary or vocational education, and earn a lower income as compared to the other two groups. Our findings that those with pure lottery gambling were significantly less likely to be pathological gamblers and had significantly lower odds of psychiatric and physical morbidity as compared to the other two groups are unique and need further research.

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References

  • Abdin, E., Subramaniam, M., Vaingankar, J. A., & Chong, S. A. (2011). Construct validity of the English, Chinese and Malay versions of the Fagerstrom test for nicotine dependence in multiracial community sample in Singapore. Annals Academy of Medicine Singapore, 40, S202.

    Google Scholar 

  • Abdin, E., Subramaniam, M., Vaingankar, J., & Chong, S. A. (2012). Reliability and validity of the English version of the South Oaks Gambling Screen in a multiracial Asian community sample in Singapore. International Gambling Studies, 12, 275–293.

    Article  Google Scholar 

  • Abdin, E., Subramaniam, M., Vaingankar, J. A., Luo, N., & Chong, S. A. (2013). Measuring health-related quality of life among adults in Singapore: Population norms for the EQ-5D. Quality of Life Research, 22, 2983–2991.

    Article  PubMed  Google Scholar 

  • American Psychiatric Association. (1980). Diagnostic and statistical manual of mental disorders (3rd ed.). Washington, DC: Author.

    Google Scholar 

  • Ariyabuddhiphongs, V. (2011). Lottery gambling: A review. Journal of Gambling Studies, 27, 15–33.

    Article  CAS  PubMed  Google Scholar 

  • Barnes, G. M., Welte, J. W., Tidwell, M. C., & Hoffman, J. H. (2011). Gambling on the lottery: Sociodemographic correlates across the lifespan. Journal of Gambling Studies, 27, 575–586.

    Article  PubMed Central  PubMed  Google Scholar 

  • Chóliz, M. (2010). Experimental analysis of the game in pathological gamblers: Effect of the immediacy of the reward in slot machines. Journal of Gambling Studies, 26, 249–256.

    Article  PubMed  Google Scholar 

  • Chong, S. A., Abdin, E., Nan, L., Vaingankar, J. A., & Subramaniam, M. (2012). Prevalence and impact of mental and physical comorbidity in the adult Singapore population. Annals Academy of Medicine, Singapore, 41, 105–110.

    Google Scholar 

  • Clotfelter, C. T., & Cook, P. J. (1990). On the economics of state lotteries. Journal of Economic Perspectives, 4, 105–119.

    Article  Google Scholar 

  • Crosbie, P. (1996). So what’s your chances of winning £40 m? The Daily Express, pp. 27–29.

  • Department of Statistics Singapore. Population Trends 2013. Available at http://www.singstat.gov.sg/Publications/publications_and_papers/population_and_population_structure/population2013.pdf. Accessed on 3rd July 2014.

  • EuroQol Group. (1990). EuroQol-a new facility for the measurement of health-related quality of life. Health Policy, 16, 199–208.

    Article  Google Scholar 

  • Grüsser, S. M., Plontzke, B., Albrecht, U., & Morsen, C. P. (2007). The addictive potential of lottery gambling. Journal of Gambling Issues, 19, 19–29.

    Article  Google Scholar 

  • Guryan, J., & Kearny, M. S. (2009). Is lottery gambling addictive? In Working paper, Cambridge, MA: National Bureau of Economic Research.

  • Haro, J. M., Arbabzadeh-Bouchez, S., Brugha, T. S., de Girolamo, G., Guyer, M. E., Jin, R., et al. (2006). Concordance of the Composite International Diagnostic Interview version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health Surveys. International Journal of Methods in Psychiatric Research, 15, 167–180.

    Article  PubMed  Google Scholar 

  • Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & Fagerstrom, K. O. (1991). The Fagerstrom test for nicotine dependence: A revision of the Fagerstrom Tolerance Questionnaire. British Journal of Addiction, 86, 1119–1127.

    Article  CAS  PubMed  Google Scholar 

  • Holtgraves, T. (2009). Gambling, gambling activities, and problem gambling. Psychology Addictive Behaviors, 23, 295–302.

    Article  Google Scholar 

  • Kessler, R. C., & Ustun, T. B. (2004). The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods Psychiatric Research, 13, 93–121.

    Article  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, 1184–1188.

    Article  CAS  PubMed  Google Scholar 

  • Lieberman, D. A., McIntosh, D. C., & Thomas, G. V. (1979). Learning when reward is delayed: A marking hypothesis. Journal of Experimental Psychology: Animal Behavior Processes, 5, 224–242.

    CAS  PubMed  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, 490–498.

    Article  PubMed  Google Scholar 

  • Luo, N., Chew, L. H., Fong, K. Y., Koh, D. R., Ng, S. C., Yoon, K. H., et al. (2003). Do English and Chinese EQ-5D version demonstrate measurement equivalence? An exploratory study. Health and Quality of Life Outcomes, 1, 7.

    Article  PubMed Central  PubMed  Google Scholar 

  • Maccallum, F., & Blaszczynski, A. (2003). Pathological gambling and suicidality: An analysis of severity and lethality. Suicide & Life-Threatening Behavior, 33, 88–98.

    Article  Google Scholar 

  • National Council on Problem Gambling. (2011). Survey on Gambling Participation Among Singapore Residents. Ministry of Social and Family Development. February 23, 2012. http://app.msf.gov.sg/Portals/0/Summary/research/EDGD/Gambling%20participation%20survey%202011.pdf (accessed June 10, 2014).

  • Petry, N. M. (2003). A comparison of treatment-seeking pathological gamblers based on preferred gambling activity. Addiction, 98, 645–655.

    Article  PubMed  Google Scholar 

  • Singer, B. F., Anselme, P., Robinson, M. J., & Vezina, P. (2014). Neuronal and psychological underpinnings of pathological gambling. Frontiers in Behavioral Neuroscience, 8, 230.

    Article  PubMed Central  PubMed  Google Scholar 

  • Stinchfield, R. (2002). Reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS). Addictive Behaviors, 27, 1–19.

    Article  PubMed  Google Scholar 

  • Subramaniam, M., Abdin, E., Poon, L. Y., Vaingankar, J. A., Lee, H., Chong, S. A., & Verma, S. (2014). EQ-5D as a measure of programme outcome: Results from the Singapore early psychosis intervention programme. Psychiatry Research, 215, 46–51.

    Article  PubMed  Google Scholar 

  • Subramaniam, M., Abdin, E., Vaingankar, J., Phua, A. M., Tee, J., & Chong, S. A. (2012a). Prevalence and correlates of alcohol use disorders in the Singapore Mental Health Survey. Addiction, 107, 1443–1452.

    Article  PubMed  Google Scholar 

  • Subramaniam, M., Picco, L., He, V., Vaingankar, J. A., Abdin, E., Verma, S., et al. (2013). Body mass index and risk of mental disorders in the general population: Results from the Singapore Mental Health Study. Journal of Psychosomatic Research, 74, 135–141.

    Article  PubMed  Google Scholar 

  • Subramaniam, M., Vaingankar, J., Heng, D., Kwok, K. W., Lim, Y. W., Yap, M., & Chong, S. A. (2012b). The Singapore Mental Health Study: An overview of the methodology. International Journal of Methods Psychiatric Research, 21, 149–157.

    Article  Google Scholar 

  • Wee, H. L., Loke, W. C., Li, S. C., Fong, K. Y., Cheung, Y. B., Machin, D., et al. (2007). Cross-cultural adaptation and validation of Singapore Malay and Tamil versions of the EQ-5D. Annals Academy of Medicine, Singapore, 36, 403–408.

    Google Scholar 

  • Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M. C., & Parker, J. (2002). Gambling participation in the US—results from a national survey. Journal of Gambling Studies, 18, 313–337.

    Article  PubMed  Google Scholar 

  • Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M. C., & Parker, J. (2004). Risk factors for pathological gambling. Addictive Behaviors, 29, 323–335.

    Article  PubMed  Google Scholar 

  • WHO. (1995). Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. WHO Technical Report Series 854. Geneva: World Health Organization.

  • Zhang, X. H., Li, S. C., Fong, K. Y., & Thumboo, J. (2009). The impact of health literacy on health-related quality of life (HRQoL) and utility assessment among patients with rheumatic diseases. Value Health, 12(Suppl 3), S106–S109.

    Article  PubMed  Google Scholar 

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Acknowledgments

This study was supported by funding from the Singapore Millennium Foundation and the Ministry of Health, Singapore.

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Authors and Affiliations

  1. Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, Singapore, 539747, Singapore

    Mythily Subramaniam, Benjamin Tang, Edimansyah Abdin, Janhavi Ajit Vaingankar, Louisa Picco & Siow Ann Chong

  2. Saw Swee Hock School of Public Health, Singapore, Singapore

    Mythily Subramaniam

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  1. Mythily Subramaniam
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  2. Benjamin Tang
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  3. Edimansyah Abdin
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  4. Janhavi Ajit Vaingankar
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  5. Louisa Picco
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  6. Siow Ann Chong
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Correspondence to Mythily Subramaniam.

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Subramaniam, M., Tang, B., Abdin, E. et al. Sociodemographic Correlates and Morbidity in Lottery Gamblers: Results from a Population Survey. J Gambl Stud 32, 291–305 (2016). https://doi.org/10.1007/s10899-015-9534-1

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  • DOI: https://doi.org/10.1007/s10899-015-9534-1

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