Skip to main content

Advertisement

Log in

Is Subtyping of Gamblers Based on the Pathways Model of Problem and Disordered Gambling Valid? A Systematic Review

  • Review Paper
  • Published:
Journal of Gambling Studies Aims and scope Submit manuscript

Abstract

Gamblers are a heterogenous group in terms of the presence of comorbid psychopathology, maladaptive personality traits, and motivation to gamble. The Pathways Model, the most promising comprehensive framework to explain this heterogeneity, classifies gamblers into three subtypes. The aim of this review was to determine whether or not subtyping of gamblers based on the Pathways Model of problem and disordered gambling is valid. A literature review was conducted using the following online databases: Academic Search Complete, PubMed, Web of Science, and PsychINFO. Studies were selected or excluded based on meeting predetermined criteria. Fourteen studies examining subtyping of gamblers based on the Pathways Model were reviewed and evaluated. Results suggest that in the adult population there are three subtypes of gamblers that largely coincide with the subtypes defined in the Pathways Model. Of these, the emotionally vulnerable subtype is the most problematic and inconsistent. In contrast, for adolescents, at least four gambler subtypes have been identified. The extant literature on subtyping of gamblers suffers from some severe limitations. Further research is required to fully validate the Pathways Model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Afifi, T., Brownridge, D., MacMillan, H., & Sareen, J. (2010). The relationship of gambling to intimate partner violence and child maltreatment in a nationally representative sample. Journal of Psychiatric Research, 44(5), 331–337.

    Article  PubMed  Google Scholar 

  • Allami, Y., & Vitaro, F. (2015). Pathways Model to problem gambling: Clinical implications for treatment and prevention among adolescents. The Canadian Journal of Addiction, 6(2), 13–19.

    Article  Google Scholar 

  • Allami, Y., Vitaro, F., Brendgen, M., Carbonneau, R., Lacourse, É., & Tremblay, R. (2017). A Longitudinal empirical investigation of the pathways model of problem gambling. Journal of Gambling Studies, 33(4), 1153–1167.

    Article  PubMed  Google Scholar 

  • Althubaiti, A. (2016). Information bias in health research: Definition, pitfalls, and adjustment methods. Journal of Multidisciplinary Healthcare, 9(1), 211–217.

    Article  PubMed  PubMed Central  Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.

    Book  Google Scholar 

  • Bilevicius, E., Edgerton, J., Sanscartier, M., Jiang, D., & Keough, M. (2019). Examining gambling activity subtypes over time in a large sample of young adults. Addiction Research & Theory, 28(4), 1–9.

    Google Scholar 

  • Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499.

    Article  PubMed  Google Scholar 

  • Calado, F., & Griffiths, M. (2016). Problem gambling worldwide: An update and systematic review of empirical research (2000–2015). Journal of Behavioral Addictions, 5(4), 592–613.

    Article  PubMed  PubMed Central  Google Scholar 

  • Canale, N., Vieno, A., Griffiths, M., Rubaltelli, E., & Santinello, M. (2015). Trait urgency and gambling problems in young people by age: The mediating role of decision-making processes. Addictive Behaviors, 46, 39–44. https://doi.org/10.1016/j.addbeh.2015.02.020.

    Article  PubMed  Google Scholar 

  • Chambers, R., & Potenza, M. (2003). Neurodevelopment, impulsivity, and adolescent gambling. Journal of Gambling Studies, 19(1), 53–84.

    Article  PubMed  Google Scholar 

  • Costello, E., Copeland, W., & Angold, A. (2011). Trends in psychopathology across the adolescent years: What changes when children become adolescents, and when adolescents become adults? Journal of Child Psychology and Psychiatry, 52(10), 1015–1025.

    Article  PubMed  Google Scholar 

  • Devos, G., Clark, L., Bowden-Jones, H., Grall-Bronnec, M., Challet-Bouju, G., Khazaal, Y., et al. (2020). The joint role of impulsivity and distorted cognitions in recreational and problem gambling: A cluster analytic approach. Journal of Affective Disorders. https://doi.org/10.1016/j.jad.2019.08.096.

    Article  PubMed  Google Scholar 

  • Dowd, D., Keough, M., Jakobson, L., Bolton, J., & Edgerton, J. (2019a). A latent class analysis of young gamblers from the Manitoba Longitudinal Survey of Young Adults. International Gambling Studies, 19(1), 148–166.

    Article  Google Scholar 

  • Dowd, D., Keough, M., Jakobson, L., Bolton, J., & Edgerton, J. (2019b). A longitudinal examination of gambling subtypes in young adulthood. International Gambling Studies. https://doi.org/10.1080/14459795.2019.1697343.

    Article  Google Scholar 

  • Downes, M., Brennan, M., Williams, H., & Dean, R. (2016). Development of critical appraisal tool to assess the quality of cross-sectional studies (AXIS). British Medical Journal Open. https://doi.org/10.1136/bmjopen-2016-011458.

    Article  Google Scholar 

  • Dussault, F., Dufour, M., Brunelle, N., Tremblay, J., Rousseau, M., Leclerc, D., et al. (2019). Consistency of adolescents’ self-report of gambling age of onset: A longitudinal study. Journal of Gambling Studies, 35(2), 533–544.

    Article  PubMed  Google Scholar 

  • Felsher, J., Derevensky, J., & Gupta, R. (2010). Young adults with gambling problem: The impact of childhood maltreatment. International Journal of Mental Health and Addiction, 8(4), 545–556.

    Article  Google Scholar 

  • Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Ottawa: Canadian Centre on Substance Abuse.

    Google Scholar 

  • Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, Ch., et al. (2017). Objective assessment of depressive symptoms with machine learning and wearable sensors data. In 2017 seventh international conference on affective computing and intelligent interaction (ACII) (pp. 325–332).

  • González-Ibáñez, A., Aymamí, M., Jíménez, S., Domenech, J., Granero, R., & Lourido-Ferreira, M. (2003). Assessment of pathological gamblers who use slot machines. Psychological Reports, 93(3), 707–716.

    Article  PubMed  Google Scholar 

  • Granero, R., Fernández-Aranda, F., Mestre-Bach, G., & Steward, T. (2018). Clustering of treatment-seeking women with gambling disorder. Journal of Behavioral Addictions, 7(3), 770–780.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gupta, R., Nower, L., Derevensky, J., Blaszczynski, A., Faregh, N., & Temcheff, C. (2013). Problem gambling in adolescents: An examination of the pathways model. Journal of Gambling Studies, 29(3), 578–588.

    Article  Google Scholar 

  • Hearn, N., Ireland, J., Eslea, M., & Fisk, J. (2020). Exploring pathways to gambling: Proposing the integrated risk and protective factors model of gambling types. Journal of Gambling Studies. https://doi.org/10.1007/s10899-020-09929-2.

    Article  PubMed Central  Google Scholar 

  • Higgins, J., & Green, S. (2011). Cochrane handbook for systematic reviews of interventions Version 5.1.0. The Cochrane Collaboration, 2011. https://training.cochrane.org/handbook. Accessed 12 Nov 2019.

  • Jacob, L., Haro, J., & Koyanagi, A. (2018). Relationship between attention-deficit hyperactivity disorder symptoms and problem gambling: A mediation analysis of influential factors among 7,403 individuals from the UK. Journal of Behavioral Addictions, 7(3), 781–791.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jara-Rizzo, M., Navas, J., Steward, T., López-Gómez, M., Jiménez-Murcia, S., Fernández-Aranda, F., & Perales, J. (2019). Impulsivity and problem awareness predict therapy compliance and dropout from treatment for gambling disorder. Adicciones (Palma De Mallorca), 31(2), 147–159.

    Article  Google Scholar 

  • Jeffrey, L., Browne, M., Rawat, V., Langham, E., Li, E., & Rockloff, M. (2019). Til debt do us part: Comparing gambling harms between gamblers and their spouses. Journal of Gambling Studies, 35(3), 1015–1034.

    Article  PubMed  Google Scholar 

  • Jiménez-Murcia, S., Granero, R., Stinchfield, R., Fernández-Aranda, F., Penelo, E., Savvidou, L. G., et al. (2013). Typologies of young pathological gamblers based on sociodemographic and clinical characteristics. Comprehensive Psychiatry, 54(8), 1153–1160.

    Article  PubMed  Google Scholar 

  • Juodis, M., & Stewart, S. (2017). A method for classifying pathological gamblers according to “Enhancement”, “Coping”, and “Low Emotion Regulation” subtypes. Journal of Gambling Issues. https://doi.org/10.4309/jgi.2016.34.11.

    Article  Google Scholar 

  • Karlsson, A., & Håkansson, A. (2018). Gambling disorder, increased mortality, suicidality, and associated comorbidity: A longitudinal nationwide register study. Journal of Behavioral Addiction, 7(4), 1091–1099.

    Article  Google Scholar 

  • Knaebe, B., Rodda, S., Hodgins, D., & Lubman, D. (2018). Behaviour change strategies endorsed by gamblers subtyped by psychological distress, risky alcohol use, and impulsivity. Journal of Gambling Studies, 35(1), 275–292.

    Article  Google Scholar 

  • Korman, L., Collins, J., Littman-Sharp, N., Skinner, W., McMain, S., & Mercado, V. (2008). Randomized control trial of an integrated therapy for comorbid anger and gambling. Psychotherapy Research, 18(4), 454–465.

    Article  PubMed  Google Scholar 

  • Kwako, L., Bickel, W., & Goldman, D. (2018). Addiction biomarkers: Dimensional approaches to understanding addiction. Trends in Molecular Medicine, 24(2), 121–128.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ledgerwood, D., & Petry, N. (2010). Subtyping pathological gamblers based on impulsivity, depression, and anxiety. Psychology of Addictive Behaviors, 24(4), 680–688.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lobo, D., Quilty, L., Martins, S., Tavares, H., Vallada, H., Kennedy, J., & Bagby, R. (2014). Pathological gambling subtypes: A comparison of treatment-seeking and non-treatment-seeking samples from Brazil and Canada. Addictive Behaviors, 39(7), 1172–1175.

    Article  CAS  PubMed  Google Scholar 

  • Lorains, F., Cowlishaw, S., & Thomas, S. (2011). Prevalence of comorbid disorders in problem and pathological gamblers: Systematic review and meta-analysis of population surveys. Addiction, 106(3), 490–498.

    Article  PubMed  Google Scholar 

  • Mader, J., Christensen, D., & Williams, R. (2019). An evaluation of the pathways model using the Quinte Longitudinal dataset. International Gambling Studies, 19(3), 417–431.

    Article  Google Scholar 

  • Mansueto, G., Pennelli, M., De Palo, V., Monacis, L., Sinatra, M., & De Caro, M. (2016). The role of metacognition in pathological gambling: A mediation model. Journal of Gambling Studies, 32(1), 93–106.

    Article  PubMed  Google Scholar 

  • Milosevic, A. (2011). Internalizing and Externalizing Psychopathology in Problem and Pathological Gamblers: Factor Structure and Gambling Subtypes (Doctoral dissertation), Retrieved from ProQuest Dissertations and Theses. (NR77970).

  • Milosevic, A., & Ledgerwood, D. (2010). The subtyping of pathological gambling: A comprehensive review. Clinical Psychology Review, 30(8), 988–998.

    Article  PubMed  Google Scholar 

  • Moola, S., Munn, Z., Tufanaru, C., Aromataris, E., Sears, K., Sfetcu, R., et al. (2017). Chapter 7: Systematic reviews of etiology and risks. In E. Aromataris & Z. Munn (Eds.), Joanna Briggs Institute Reviewer's Manual. The Joanna Briggs Institute. https://reviewersmanual.joannabriggs.org/. Accessed 12 Nov 2019.

  • Moon, M., Lister, J., Milosevic, A., & Ledgerwood, D. (2017). Subtyping non-treatment-seeking problem gamblers using the pathways model. Journal of Gambling Studies, 33(3), 841–853.

    Article  PubMed  Google Scholar 

  • Nower, L., & Blaszczynski, A. (2004). A pathways approach to treating youth gamblers. In J. L. Derevensky & R. Gupta (Eds.), Gambling problems in youth. Theoretical and applied perspectives (pp. 189–209). New York, NY: Kluwer/Plenum.

    Google Scholar 

  • Nower, L., & Blaszczynski, A. (2017). Development and validation of Gambling Pathways Questionnaire (GPQ). Psychology of Addictive Behaviors, 31(1), 95–109.

    Article  PubMed  Google Scholar 

  • Nower, L., Martins, S., Lin, K., & Blanco, C. (2013). Subtypes of disordered gamblers: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Addiction, 108(4), 789–798.

    Article  PubMed  PubMed Central  Google Scholar 

  • Peterson, K. (2004). Biomarkers for alcohol use and abuse: A summary. Alcohol Research & Health, 28(1), 30–37.

    Google Scholar 

  • Petry, N., Ginley, M., & Rash, C. (2017). A systematic review of treatments for problem gambling. Psychology of Addictive Behaviors, 31(8), 951–961.

    Article  PubMed  PubMed Central  Google Scholar 

  • Raylu, N., & Oei, T. (2004). Role of culture in gambling and problem gambling. Clinical Psychology Review, 23(8), 1087–1114.

    Article  PubMed  Google Scholar 

  • Scheres, A., Tontsch, C., Thoeny, A., & Sumiya, M. (2014). Temporal reward discounting in children, adolescents, and emerging adults during an experiential task. Frontiers in Psychology, 5, 711. https://doi.org/10.3389/fpsyg.2014.00711.

    Article  PubMed  PubMed Central  Google Scholar 

  • Shaffer, H., & Hall, M. (2001). Updating and refining prevalence of disordered gambling behaviour in the United States and Canada. Canadian Journal of Public Health, 92(3), 168–172.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Slutske, W. (2006). Natural recovery and treatment-seeking in pathological gambling: Results of two U.S. national surveys. The American Journal of Psychiatry, 163(2), 297–302.

    Article  PubMed  Google Scholar 

  • Slutske, W., Jackson, K., & Sher, K. (2003). The natural history of problem gambling from age 18 to 29. Journal of Abnormal Psychology, 112(2), 263–274.

    Article  PubMed  Google Scholar 

  • Stewart, S., & Zack, M. (2008). Development and psychometric evaluation of three-dimensional Gambling Motives Questionnaire. Addiction, 103(7), 1110–1117.

    Article  PubMed  Google Scholar 

  • Suomi, A., Dowling, N., & Jackson, A. (2014). Problem gambling subtypes based on psychological distress, alcohol abuse and impulsivity. Addictive Behaviors, 39(12), 1741–1745.

    Article  PubMed  Google Scholar 

  • Tabri, N., Salmon, M., & Wohl, M. (2020). Financially focused self-concept in disordered gambling: Comparisons between non-disordered and disordered gambling subtypes. Addiction Research & Theory. https://doi.org/10.1080/16066359.2020.1714039.

    Article  Google Scholar 

  • Trivedi, R., & Teichert, T. (2018). Attitudes, beliefs and impulsivity in online gambling addiction. International Gambling Studies, 18(2), 327–342.

    Article  Google Scholar 

  • Valleur, M., Codina, I., Vénisse, J., Romo, L., Magalon, D., Fatséas, M., et al. (2016). Towards a validation of the three pathways model of pathological gambling. Journal of Gambling Studies, 32(2), 757–771.

    Article  PubMed  Google Scholar 

  • Victorri-Vigneau, C., Spiers, A., Caillet, P., Bruneau, M., Challet-Bouju, G., Grall-Bronnec, M., & IGNACE-consortium. (2018). Opioid antagonists for pharmacological treatment of gambling disorder: Are they relevant? Current Neuropharmacology, 16(10), 1418–1432.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Walther, B., Morgenstern, M., & Hanewinkel, R. (2012). Co-occurrence of addictive behaviours: Personality factors related to substance use, gambling and computer gaming. European Addiction Research, 18(4), 167–174.

    Article  PubMed  Google Scholar 

  • Widiger, T., & Gore, W. (2014). Mental disorders as discrete clinical conditions. In D. Beidel, B. Frueh, & M. Hersen (Eds.), Adult psychopathology and diagnosis (pp. 3–33). Hoboken, NJ: Wiley.

    Google Scholar 

  • Yapelli, M. (2013). Problem and pathological Gambler subtypes: A cluster analysis of associated features of Blaszczynski and Nower’s pathways model (Doctoral dissertation), Retrieved from ProQuest Dissertations and Theses. (3567916) .

Download references

Acknowledgements

The author wishes to thank Wendy Kliewer, Ph.D. and Carolyn E. Hawley, Ph.D., C.R.C. who counseled him during the process of preparation and assisted in the proof-reading of the manuscript.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adam Kurilla.

Ethics declarations

Conflict of interest

The author declares that he has no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kurilla, A. Is Subtyping of Gamblers Based on the Pathways Model of Problem and Disordered Gambling Valid? A Systematic Review. J Gambl Stud 37, 983–1006 (2021). https://doi.org/10.1007/s10899-020-09995-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10899-020-09995-6

Keywords

Navigation