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.
Similar content being viewed by others
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.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (5th ed.). Washington, DC: American Psychiatric Association.
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.
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.
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.
Byrne, B. M. (2013). Structural equation modeling with Mplus: basic concepts, applications, and Programming. New York, NY: Routledge, Taylor & Francis Group.
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.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255.
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.
Dowling, N. A., Merkouris, S. S., Greenwood, C. J., & Oldenhof, E., Toumbourou, J. W., & 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.
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.
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.
Fonagy, P., & Luyten, P. (2018). Conduct problems in youth and the RDoC approach: a developmental, evolutionary-based view. Clinical Psychology Review, 64, 57–76.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Krueger, R. F. (1999). The structure of common mental disorders. Archives of General Psychiatry, 56, 921–926.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors report there are no competing interests to declare.
Ethics Approval
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.
Consent to Participate
Informed consent was obtained from all individual participants included in the study.
Consent for Publication
This manuscript has not been submitted in part or in whole for publication elsewhere.
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.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
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
Accepted:
Published:
DOI: https://doi.org/10.1007/s11469-023-01032-y