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Adolescent Problem Gambling and Gaming in the Hierarchical Structure of Psychopathology

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Abstract

Research suggests that certain mental health disorders are likely to co-occur, with higher order dimensions of psychopathology being discernable. Specifically, mental health disorders tend to be organized into two general dimensions: internalizing and externalizing disorders. Despite substantial evidence supporting this hierarchical structure, no studies have integrated both recognized forms of behavioral addictions, gambling and gaming disorders, into this model utilizing a sample of adolescents. The objective of this study is to examine how risk for problem gambling (PG) and problem video gaming (PVG) load onto the higher order structure of psychopathology. Survey responses were collected from 6,413 adolescents (50.4% male, Mage = 14.74 years, 80.2% White) from Wood County, Ohio. Measures included frequency of gambling, PG symptoms, frequency of video gaming, PVG symptoms, symptoms of depression and anxiety, aggressive problems, and delinquency. Confirmatory factor analyses were conducted and data were fit to a two-factor structure. PG symptoms loaded most highly on the externalizing factor (B = 0.18, SE = 0.02), and PVG symptoms loaded similarly on the externalizing (B = 0.32, SE = 0.02) and internalizing (B = 0.24, SE = 0.02) factors. Model fit indices indicated that the model in which PG and PVG were loaded on the externalizing factor provided the best fit. Exploratory analyses were suggestive of an alternative three-factor model which improved model fit. Findings suggest that youth prevention and intervention approaches need to address behavioral addictions early while considering the impact of other commonly associated problems.

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Data Availability

The data that support the findings of this study are available on request from the corresponding author and will be reasonably considered on a case-by-case basis. The data are not publicly available due to the privacy of research participants.

References

  • American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders: DSM-IV (4th ed.). Washington, DC: American Psychiatric Association.

    Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (5th ed.). Washington, DC: American Psychiatric Association.

    Book  Google Scholar 

  • Battagliese, G., Caccetta, M., Luppino, O. I., Baglioni, C., Cardi, V., Mancini, F., & Buonanno, C. (2015). Cognitive-behavioral therapy for externalizing disorders: a meta-analysis of treatment effectiveness. Behaviour Research and Therapy, 75, 60–71. https://doi.org/10.1016/j.brat.2015.10.008.

    Article  PubMed  Google Scholar 

  • Bonadio, F. T., & Tompsett, C. (2017). The factor structure of the Ohio Scales: a practical measure of psychological symptoms in youth. Journal of Child and Family Studies, 26(1), 101–117. https://doi.org/10.1007/s10826-016-0544-0.

    Article  Google Scholar 

  • Brezing, C., Derevensky, J. L., & Potenza, M. N. (2010). Non-substance-addictive behaviors in youth: pathological gambling and problematic internet use. Child and Adolescent Psychiatric Clinics of North America, 19(3), 625–641. https://doi.org/10.1016/j.chc.2010.03.012.

    Article  PubMed  PubMed Central  Google Scholar 

  • Byrne, B. M. (2013). Structural equation modeling with Mplus: basic concepts, applications, and Programming. New York, NY: Routledge, Taylor & Francis Group.

    Book  Google Scholar 

  • Calado, F., Alexandre, J., & Griffiths, M. D. (2017). Prevalence of adolescent problem gambling: a systematic review of recent research. Journal of Gambling Studies, 33(2), 397–424. https://doi.org/10.1007/s10899-016-9627-5.

    Article  PubMed  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255.

    Article  Google Scholar 

  • DeLisi, M., Vaughn, M. G., Gentile, D. A., Anderson, C. A., & Shook, J. J. (2013). Violent video games, delinquency, and youth violence: new evidence. Youth Violence and Juvenile Justice, 11(2), 132–142.

    Article  Google Scholar 

  • Dowling, N. A., Merkouris, S. S., Greenwood, C. J., & Oldenhof, E., Toumbourou, J. W., &amp Youssef, G. J. (2017). Early risk and protective factors for problem gambling: a systematic review and meta-analysis of longitudinal studies. Clinical Psychology Reviews, 51, 109–124. https://doi.org/10.1016/j.cpr.2016.10.008.

  • Fam, J. Y. (2018). Prevalence of internet gaming disorder in adolescents: a meta-analysis across three decades. Scandinavian Journal of Psychology. https://doi.org/10.1111/sjop.12459.

    Article  PubMed  Google Scholar 

  • Farmer, R. F., Seeley, J. R., Kosty, D. B., Gau, J. M., Duncan, S. C., Lynskey, M. T., & Lewinsohn, P. M. (2015). Internalizing and externalizing psychopathology as predictors of cannabis use disorder onset during adolescence and early adulthood. Psychology of Addictive Behaviors, 29(3), 541–551. https://doi.org/10.1037/adb0000059.

    Article  PubMed  PubMed Central  Google Scholar 

  • Farmer, R. F., Seeley, J. R., Kosty, D. B., & Lewinsohn, P. M. (2009). Refinements in the hierarchical structure of externalizing psychiatric disorders: patterns of lifetime liability from mid-adolescence through early adulthood. Journal of Abnormal Psychology, 118(4), 699–710. https://doi.org/10.1037/a0017205.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fonagy, P., & Luyten, P. (2018). Conduct problems in youth and the RDoC approach: a developmental, evolutionary-based view. Clinical Psychology Review, 64, 57–76.

    Article  PubMed  Google Scholar 

  • Forbes, M. K., Tackett, J. L., Markon, K. E., & Krueger, R. F. (2016). Beyond comorbidity: toward a dimensional and hierarchical approach to understanding psychopathology across the life span. Development and Psychopathology, 28(4), 971–986.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gerstein, D., Volberg, R. A., Toce, M. T., Harwood, H., Johnson, R. A., Buie, T., & Engelman, L. (1999). Gambling impact and behavior study: Report to the national gambling impact

  • study commission Chicago:National Opinion Research Center.

  • Gibbons, R. D., & Hedeker, D. R. (1992). Full-information item bifactor analysis. Psychometrika, 57(3), 423–436.

    Article  Google Scholar 

  • Gooding, P., & Tarrier, N. (2009). A systematic review and meta-analysis of cognitive- behavioural interventions to reduce problem gambling: hedging our bets? Behaviour Research and Therapy, 47(7), 592–607. https://doi.org/10.1016/j.brat.2009.04.002.

    Article  PubMed  Google Scholar 

  • Griffiths, M. D. (2005). Relationship between gambling and video-game playing: a response to Johansson and Götestam. Psychological Reports, 96, 644–646. https://doi.org/10.2466/pr0.96.3.644-646.

    Article  PubMed  Google Scholar 

  • Griffiths, M. D. (2008). Digital impact, crossover technologies and gambling practices. Casino & Gaming International, 4, 37–42. http://irep.ntu.ac.uk/id/eprint/883.

    Google Scholar 

  • Griffiths, M. D., Kuss, D. J., Lopez-Fernandez, O., & Pontes, H. M. (2017). Problematic gaming exists and is an example of disordered gaming. Journal of Behavioral Addictions, 6(3), 296–301. https://doi.org/10.1556/2006.6.2017.037.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hilgard, J., Engelhardt, C. R., & Bartholow, B. D. (2013). Individual differences in motives, preferences, and pathology in video games: the gaming attitudes, motives, and experiences scales (GAMES). Frontiers in Psychology, 4, 1–13. https://doi.org/10.3389/fpsyg.2013.00608.

    Article  Google Scholar 

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • James, R. J. E., & Tunney, R. J. (2017). The need for a behavioural analysis of behavioural addictions. Clinical Psychology Review, 52, 69–76. https://doi.org/10.1016/j.cpr.2016.11.010.

    Article  PubMed  Google Scholar 

  • Jahic, I., DeLisi, M., & Vaughn, M. G. (2021). Psychopathy and violent video game playing: multiple associations in a juvenile justice system involved sample. Aggressive Behavior, 47(4), 385–393.

    Article  PubMed  Google Scholar 

  • King, D., Delfabbro, P., & Griffiths, M. (2010). The convergence of gambling and digital media: implications for gambling in young people. Journal of Gambling Studies, 26, 175–187. https://doi.org/10.1007/s10899-009-9153-9.

    Article  PubMed  Google Scholar 

  • King, D. L., Gainsbury, S. M., Delfabbro, P. H., Hing, N., & Arabanel, B. (2015). Distinguishing between gaming and gambling activities in addiction research. Journal of Behavioral Addictions, 4, 215–220. https://doi.org/10.1556/2006.4.2015.045.

    Article  PubMed  PubMed Central  Google Scholar 

  • King, S. M., Saunders, G. R. B., Elkins, I. J., Winters, K. C., Iacono, W. G., & McGue, M. (2020). Where do gambling problems fit in the structure of psychopathology during emerging adulthood? International Gambling Studies, 20(1), 1–13. https://doi.org/10.1080/14459795.2019.1643901.

    Article  PubMed  Google Scholar 

  • Krueger, R. F. (1999). The structure of common mental disorders. Archives of General Psychiatry, 56, 921–926.

    Article  CAS  PubMed  Google Scholar 

  • Krueger, R. F., & Markon, K. E. (2006). Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology. Annual Review of Clinical Psychology, 2, 111–133.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kryszajtys, D. T., Hahmann, T. E., Schuler, A., Hamilton-Wright, S., Ziegler, C. P., & Matheson, F. I. (2018). Problem gambling and delinquent behaviours among adolescents: a scoping review. Journal of Gambling Studies, 34(3), 893–914. https://doi.org/10.1007/s10899-018-9754-2.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lahey, B. B., Applegate, B., Hakes, J. K., Zald, D. H., Hariri, A. R., & Rathouz, P. J. (2012). Is there a general factor of prevalent psychopathology during adulthood? Journal of Abnormal Psychology, 121(4), 971–977. https://doi.org/10.1037/a0028355.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lee, S. Y., Lee, H. K., Jeong, H., Yim, H. W., Bhang, S. Y., Jo, S. J., & Kweon, Y. S. (2017). The hierarchical implications of internet gaming disorder criteria: which indicate more severe pathology? Psychiatry Investigation, 14(3), 249–259.

    Article  PubMed  PubMed Central  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2012). Mplus user’s guide, 7th edition. Los Angeles, CA

  • Myrseth, H., & Notelaers, G. (2018). A latent class approach for classifying the problem and disordered gamers in a group of adolescence. Frontiers in Psychology, 9(2273), https://doi.org/10.3389/fpsyg.2018.02273.

  • Ogles, B. M., Melendez, G., Davis, D. C., & Lunnen, K. M. (2001). The Ohio Scales: practical outcome assessment. Journal of Child and Family Studies, 10, 199–212.

    Article  Google Scholar 

  • Oleski, J., Cox, B. J., Clara, I., & Hills, A. (2011). Pathological gambling and the structure of common mental disorders. Journal of Nervous and Mental Disease, 199(12), 956–960.

    Article  PubMed  Google Scholar 

  • Paulus, F. W., Ohmann, S., von Gontard, A., & Popow, C. (2018). Internet gaming disorder in children and adolescents: a systematic review. Developmental Medicine & Child Neurology, 60(7), 645–659. https://doi.org/10.1111/dmcn.13754.

    Article  Google Scholar 

  • Pontes, H. M., & Griffiths, M. D. (2015). Measuring DSM-5 internet gaming disorder: development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137–143. https://doi.org/10.1016/j.chb.2014.12.006.

    Article  Google Scholar 

  • Potenza, M. N. (2014). Non-substance addictive behaviors in the context of DSM-5. Addictive Behaviors, 39(1), 1–2. https://doi.org/10.1016/j.addbeh.2013.09.004.

    Article  PubMed  Google Scholar 

  • Rapee, R. M., Oar, E. L., Johnco, C. J., Forbes, M. K., Fardouly, J., Magson, N. R., & Richardson, C. E. (2019). Adolescent development and risk for the onset of social- emotional disorders: a review and conceptual model. Behaviour Research and Therapy, 123, 103501. https://doi.org/10.1016/j.brat.2019.103501.

    Article  PubMed  Google Scholar 

  • Richard, J., Fletcher, E., Boutin, S., Derevensky, J., & Temcheff, C. (2020a). Conduct problems, depressive symptoms and behavioral addictions in adolescents and young adults: a systematic review. Journal of Behavioral Addictions, 9(3), 497–533.

    Article  PubMed  PubMed Central  Google Scholar 

  • Richard, J., Temcheff, C., & Derevensky, J. (2020b). Gaming disorder across the lifespan: a scoping review of longitudinal studies. Current Addiction Reports, 7(4), 561–587.

    Article  Google Scholar 

  • Richard, J., Temcheff, C., Fletcher, E., Lemieux, A., Derevensky, J., & Dery, M. (2021). An empirical investigation of the externalizing and internalizing pathways to problem video gaming: a longitudinal study across childhood and adolescence. Computers in Human Behavior, 1–8. https://doi.org/10.1016/j.chb.2021.107096.

  • Richard, J., Temcheff, C., Fletcher, E., Lemieux, A., Derevensky, J., & Dery, M. (2022). Externalizing and internalizing trajectories to adolescent gambling: a longitudinal study. International Gambling Studies, 1–19. https://doi.org/10.1080/14459795.2022.2154378.

  • Shaffer, H. J., & Korn, D. A. (2002). Gambling and related mental disorders: a public health analysis. Annual Review of Public Health, 23, 171–212. https://doi.org/10.1146/annurev.publhealth.23.100901.140532.

    Article  PubMed  Google Scholar 

  • Stevens, M., King, D. L., Dorstyn, D., & Delfabbro, P. H. (2019). Cognitive-behavioral therapy for internet gaming disorder: a systematic review and meta-analysis. Clinical Psychology & Psychotherapy, 26(2), 191–203.

    Article  Google Scholar 

  • Sugaya, N., Shirasaka, T., Takahashi, K., & Kanda, H. (2019). Bio-psychosocial factors of children and adolescents with internet gaming disorder: a systematic review. BioPsychoSocial Medicine, 13(1), 3. https://doi.org/10.1186/s13030-019-0144-5.

    Article  PubMed  PubMed Central  Google Scholar 

  • Toce-Gerstein, M., Gerstein, D. R., & Volberg, R. A. (2009). The NODS–CLiP: a rapid screen for adult pathological and problem gambling. Journal of Gambling Studies, 25(4), 541.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tully, E., & Iacono, W. G. (2014). An integrative common liabilities model for the comorbidity of substance use disorders with externalizing and internalizing disorders.Psychology Faculty Publications. Paper145.

  • Wang, J., & Wang, X. (2012). Structural equation modeling applications using Mplus. Chichester: John Wiley & Sons Ltd. https://doi.org/10.1002/9781118356258.

    Book  Google Scholar 

  • Willoughby, T., Chalmers, H., & Busseri, M. A. (2004). Where is the syndrome? Examining co-

  • occurrence among multiple problem behaviors in adolescence.Journal of Consulting and Clinical Psychology, 72(6),1022–1037. doi:https://doi.org/10.1037/0022-006X.72.6.1022

  • World Health Organization (2019). International statistical classification of diseases and related health problems (11th Revision). Retrieved from: https://icd.who.int/browse11/l-m/en

  • Yakovenko, I., & Hodgins, D. C. (2018). A scoping review of co-morbidity in individuals with disordered gambling. International Gambling Studies, 18(1), 143–172. https://doi.org/10.1080/14459795.2017.1364400.

    Article  Google Scholar 

  • Yakovenko, I., & Hodgins, D. C. (2018). A scoping review of co-morbidity in individuals with disordered gambling. International Gambling Studies, 18(1), 143–172. doi:10.1080/14459795.2017.1364400

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Funding

Jérémie Richard received doctoral fellowships from the Social Sciences and Humanities Research Council of Canada (SSHRC) and from the Fonds de recherche du Québec – Société et Culture (FRQSC): Programme de bourse sur le jeu responsable. No funding agencies had input into the content of this manuscript.

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Correspondence to Jérémie Richard.

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All participants were involved in the informed consent and debriefing process in compliance with ethical standards. The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments. The study was approved by the ADAMHS ethics committee.

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CRediT Statement

Jérémie Richard: Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing-original draft, Writing-review and editing. Caroline Temcheff: Conceptualization, Methodology, Supervision, Writing-review and editing. William Ivoska: Data curation, Investigation, Methodology, Project administration, Funding acquisition, Resources, Supervision, Writing-review and editing. Jeffrey Derevensky: Conceptualization, Methodology, Supervision,, Writing-review and editing.

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Richard, J., Temcheff, C., Ivoska, W. et al. Adolescent Problem Gambling and Gaming in the Hierarchical Structure of Psychopathology. Int J Ment Health Addiction (2023). https://doi.org/10.1007/s11469-023-01032-y

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