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Published in: Journal of Gambling Studies 3/2022

09-10-2021 | Addiction | Original Paper

Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective

Authors: Roser Granero, Fernando Fernández-Aranda, Zsolt Demetrovics, Rocío Elena Ayala-Rojas, Mónica Gómez-Peña, Laura Moragas, Susana Jiménez-Murcia

Published in: Journal of Gambling Studies | Issue 3/2022

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Abstract

The increasing presence of gaming disorder in recent years has led to major efforts to identify the specific predictors that have a high impact on the profile of people seeking treatment for this mental condition. The purpose of this study was to explore the network structure of the correlates of gaming disorder considering sociodemographic features and other clinical symptoms. Network analysis was applied to a sample of patients who met clinical criteria for gaming disorder (n = 117, of ages ranging from 15 to 70 yrs-old). Variables considered in the network included sex, age, socioeconomic position, global emotional distress, age of onset and duration of the gaming disorder, personality traits and the presence of other addictive behaviors (tobacco, alcohol and behavioral addictions). The central nodes in the network were global psychological distress, chronological age, and age of onset of gaming related problems. Linkage analysis also identified psychopathological status and age as the variables with the most valuable information in the model. The poorest relevance in the analysis was for the duration of gaming problems and socioeconomic levels. Modularity analysis grouped the nodes within four clusters. Identification of the variables with the highest centrality/linkage can be particularly useful for developing precise management plans to prevent and treat gaming disorder related problems.
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Literature
go back to reference Bass, P. F. (2015). Gaming addiction: When going online goes off-kilter. Contemporary Pediatrics, 32(11), 16–23. Bass, P. F. (2015). Gaming addiction: When going online goes off-kilter. Contemporary Pediatrics, 32(11), 16–23.
go back to reference Berman, A. H., Bergman, H., Palmstierna, T., & Schlyter, F. (2005). Evaluation of the drug use disorders identification test (DUDIT) in criminal justice and detoxification settings and in a Swedish population sample. European Addiction Research, 11(1), 22–31. https://doi.org/10.1159/000081413CrossRefPubMed Berman, A. H., Bergman, H., Palmstierna, T., & Schlyter, F. (2005). Evaluation of the drug use disorders identification test (DUDIT) in criminal justice and detoxification settings and in a Swedish population sample. European Addiction Research, 11(1), 22–31. https://​doi.​org/​10.​1159/​000081413CrossRefPubMed
go back to reference Brand, M., Rumpf, H.-Jü., Demetrovics, Z., MÜller, A., Stark, R., King, D. L., Goudriaan, A. E., Mann, K., Trotzke, P., Fineberg, N. A., Chamberlain, S. R., Kraus, S. W., Wegmann, E., Billieux, J., & Potenza, M. N. (2021). Which conditions should be considered as disorders in the international classification of diseases (ICD-11) designation of “other specified disorders due to addictive behaviors”? Journal of Behavioral Addictions, (in Press). https://doi.org/10.1556/2006.2020.00035. Brand, M., Rumpf, H.-Jü., Demetrovics, Z., MÜller, A., Stark, R., King, D. L., Goudriaan, A. E., Mann, K., Trotzke, P., Fineberg, N. A., Chamberlain, S. R., Kraus, S. W., Wegmann, E., Billieux, J., & Potenza, M. N. (2021). Which conditions should be considered as disorders in the international classification of diseases (ICD-11) designation of “other specified disorders due to addictive behaviors”? Journal of Behavioral Addictions, (in Press). https://​doi.​org/​10.​1556/​2006.​2020.​00035.
go back to reference Cloninger, C. R. (1999). The temperament and character inventory-revised. Washington University. Cloninger, C. R. (1999). The temperament and character inventory-revised. Washington University.
go back to reference Cloninger, C. R., Svrakic, D. M., & Przybeck, T. R. (1993). A psychobiological model of temperament and character. Archives of General Psychiatry, 50(12), 975–990.CrossRef Cloninger, C. R., Svrakic, D. M., & Przybeck, T. R. (1993). A psychobiological model of temperament and character. Archives of General Psychiatry, 50(12), 975–990.CrossRef
go back to reference Derogatis, L. R. (1994). SCL-90-R: symptom checklist-90-R. Administration, scoring and procedures manuall—II for the revised version. Clinical Psychometric Research. Derogatis, L. R. (1994). SCL-90-R: symptom checklist-90-R. Administration, scoring and procedures manuall—II for the revised version. Clinical Psychometric Research.
go back to reference Epskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas, M. N., Isvoranu, A.-M., Riese, H., & Cramer, A. O. J. (2018). Personalized network modeling in psychopathology: The importance of contemporaneous and temporal connections. Clinical Psychological Science: A Journal of the Association for Psychological Science, 6(3), 416–427. https://doi.org/10.1177/2167702617744325CrossRef Epskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas, M. N., Isvoranu, A.-M., Riese, H., & Cramer, A. O. J. (2018). Personalized network modeling in psychopathology: The importance of contemporaneous and temporal connections. Clinical Psychological Science: A Journal of the Association for Psychological Science, 6(3), 416–427. https://​doi.​org/​10.​1177/​2167702617744325​CrossRef
go back to reference Gonzalez De Rivera, J. L., Derogatis, L. R., De las Cuevas, C., Gracia Marco, R., Rodríguez-Pulido, F., Henry-Benitez, M., & Monterrey, A. (1989). The Spanish version of the SCL-90-R. Normative data in the general population. Clinical Psychometric Research. Gonzalez De Rivera, J. L., Derogatis, L. R., De las Cuevas, C., Gracia Marco, R., Rodríguez-Pulido, F., Henry-Benitez, M., & Monterrey, A. (1989). The Spanish version of the SCL-90-R. Normative data in the general population. Clinical Psychometric Research.
go back to reference Granero, R., Fernández-Aranda, F., Mestre-Bach, G., Steward, T., García-Caro, B., Prever, F., Gavriel-Fried, B., Del Pino-Gutiérrez, A., Moragas, L., Aymamí, N., Gómez-Pena, M., Mena-Moreno, T., Martín-Romera, V., Menchón, J. M., & Jiménez-Murcia, S. (2018). Clustering of treatment-seeking women with gambling disorder. Journal of Behavioral Addictions, 7(3), 770–780. https://doi.org/10.1556/2006.7.2018.93CrossRefPubMedPubMedCentral Granero, R., Fernández-Aranda, F., Mestre-Bach, G., Steward, T., García-Caro, B., Prever, F., Gavriel-Fried, B., Del Pino-Gutiérrez, A., Moragas, L., Aymamí, N., Gómez-Pena, M., Mena-Moreno, T., Martín-Romera, V., Menchón, J. M., & Jiménez-Murcia, S. (2018). Clustering of treatment-seeking women with gambling disorder. Journal of Behavioral Addictions, 7(3), 770–780. https://​doi.​org/​10.​1556/​2006.​7.​2018.​93CrossRefPubMedPubMedCentral
go back to reference Gutiérrez-Zotes, J. A., Bayón, C., Montserrat, C., Valero, J., Labad, A., Cloninger, C. R., & Fernández-Aranda, F. (2004). Temperament and character inventory revised (TCI-R): Standardization and normative data in a general population sample. Actas Españolas de Psiquiatria, 32(1), 8–15.PubMed Gutiérrez-Zotes, J. A., Bayón, C., Montserrat, C., Valero, J., Labad, A., Cloninger, C. R., & Fernández-Aranda, F. (2004). Temperament and character inventory revised (TCI-R): Standardization and normative data in a general population sample. Actas Españolas de Psiquiatria, 32(1), 8–15.PubMed
go back to reference Hollingshead, A. B. (2011). Four factor index of social status. Yale Journal of Sociology, 8, 21–51. Hollingshead, A. B. (2011). Four factor index of social status. Yale Journal of Sociology, 8, 21–51.
go back to reference Hu, J., Lee, D., Hu, S., Zhang, S., Chao, H., & Li, C.-S.R. (2016). Individual variation in the neural processes of motor decisions in the stop signal task: The influence of novelty seeking and harm avoidance personality traits. Brain Structure & Function, 221(5), 2607–2618. https://doi.org/10.1007/s00429-015-1061-4CrossRef Hu, J., Lee, D., Hu, S., Zhang, S., Chao, H., & Li, C.-S.R. (2016). Individual variation in the neural processes of motor decisions in the stop signal task: The influence of novelty seeking and harm avoidance personality traits. Brain Structure & Function, 221(5), 2607–2618. https://​doi.​org/​10.​1007/​s00429-015-1061-4CrossRef
go back to reference Jiménez-Murcia, S., Fernández-Aranda, F., Granero, R., Chóliz, M., La Verde, M., Aguglia, E., Signorelli, M. S., Sá, G. M., Aymamí, N., Gómez-Peña, M., Del Pino-Gutiérrez, A., Moragas, L., Fagundo, A. B., Sauchelli, S., Fernández-Formoso, J. A., & Menchón, J. M. (2014). Video game addiction in gambling disorder: Clinical, psychopathological, and personality correlates. BioMed Research International. https://doi.org/10.1155/2014/315062CrossRefPubMedPubMedCentral Jiménez-Murcia, S., Fernández-Aranda, F., Granero, R., Chóliz, M., La Verde, M., Aguglia, E., Signorelli, M. S., Sá, G. M., Aymamí, N., Gómez-Peña, M., Del Pino-Gutiérrez, A., Moragas, L., Fagundo, A. B., Sauchelli, S., Fernández-Formoso, J. A., & Menchón, J. M. (2014). Video game addiction in gambling disorder: Clinical, psychopathological, and personality correlates. BioMed Research International. https://​doi.​org/​10.​1155/​2014/​315062CrossRefPubMedPubMedCentral
go back to reference Martínez Delgado, J. M., Girón García, S., & González Saiz, F. (1999). Validación de los cuestionarios breves: AUDIT, CAGE y CBA, para la detección de los problemas relacionados con el consumo de bebidas alcohólicas en atención primaria. Comisionado para la Droga. Martínez Delgado, J. M., Girón García, S., & González Saiz, F. (1999). Validación de los cuestionarios breves: AUDIT, CAGE y CBA, para la detección de los problemas relacionados con el consumo de bebidas alcohólicas en atención primaria. Comisionado para la Droga.
go back to reference Müller, K. W., Beutel, M. E., Egloff, B., & Wölfling, K. (2014). Investigating risk factors for Internet gaming disorder: A comparison of patients with addictive gaming, pathological gamblers and healthy controls regarding the big five personality traits. European Addiction Research, 20(3), 129–136. https://doi.org/10.1159/000355832CrossRefPubMed Müller, K. W., Beutel, M. E., Egloff, B., & Wölfling, K. (2014). Investigating risk factors for Internet gaming disorder: A comparison of patients with addictive gaming, pathological gamblers and healthy controls regarding the big five personality traits. European Addiction Research, 20(3), 129–136. https://​doi.​org/​10.​1159/​000355832CrossRefPubMed
go back to reference Nakayama, H., Matsuzaki, T., Mihara, S., Kitayuguchi, T., & Higuchi, S. (2020). Relationship between problematic gaming and age at the onset of habitual gaming. Pediatrics International: Official Journal of the Japan Pediatric Society, 62(11), 1275–1281. https://doi.org/10.1111/ped.14290CrossRef Nakayama, H., Matsuzaki, T., Mihara, S., Kitayuguchi, T., & Higuchi, S. (2020). Relationship between problematic gaming and age at the onset of habitual gaming. Pediatrics International: Official Journal of the Japan Pediatric Society, 62(11), 1275–1281. https://​doi.​org/​10.​1111/​ped.​14290CrossRef
go back to reference Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H.-J., Mößle, T., Bischof, G., Tao, R., Fung, D. S. S., Borges, G., Auriacombe, M., González Ibáñez, A., Tam, P., & O’Brien, C. P. (2014). An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction, 109(9), 1399–1406. https://doi.org/10.1111/add.12457CrossRefPubMed Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H.-J., Mößle, T., Bischof, G., Tao, R., Fung, D. S. S., Borges, G., Auriacombe, M., González Ibáñez, A., Tam, P., & O’Brien, C. P. (2014). An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction, 109(9), 1399–1406. https://​doi.​org/​10.​1111/​add.​12457CrossRefPubMed
go back to reference American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (5th ed.). Author. American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (5th ed.). Author.
go back to reference Romero-Sánchez, J. (2011). Adaptación Española del Drug Use Disorders Identification Test (DUDIT). Andalusian Research Development & Research Group. Romero-Sánchez, J. (2011). Adaptación Española del Drug Use Disorders Identification Test (DUDIT). Andalusian Research Development & Research Group.
go back to reference Wittek, C. T., Finserås, T. R., Pallesen, S., Mentzoni, R. A., Hanss, D., Griffiths, M. D., & Molde, H. (2016). Prevalence and predictors of video game addiction: A study based on a national representative sample of gamers. International Journal of Mental Health and Addiction, 14(5), 672–686. https://doi.org/10.1007/s11469-015-9592-8CrossRefPubMed Wittek, C. T., Finserås, T. R., Pallesen, S., Mentzoni, R. A., Hanss, D., Griffiths, M. D., & Molde, H. (2016). Prevalence and predictors of video game addiction: A study based on a national representative sample of gamers. International Journal of Mental Health and Addiction, 14(5), 672–686. https://​doi.​org/​10.​1007/​s11469-015-9592-8CrossRefPubMed
Metadata
Title
Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective
Authors
Roser Granero
Fernando Fernández-Aranda
Zsolt Demetrovics
Rocío Elena Ayala-Rojas
Mónica Gómez-Peña
Laura Moragas
Susana Jiménez-Murcia
Publication date
09-10-2021
Publisher
Springer US
Published in
Journal of Gambling Studies / Issue 3/2022
Electronic ISSN: 1573-3602
DOI
https://doi.org/10.1007/s10899-021-10079-2

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