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Published in: International Journal of Mental Health and Addiction 6/2016

01-12-2016

Differential Risk Factors Associated with Adolescent Addictive Disorders: a Comparison between Substance Use Disorders and Internet/Gaming Addiction

Authors: Rebecca H. S. Ong, Chao Xu Peh, Song Guo

Published in: International Journal of Mental Health and Addiction | Issue 6/2016

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Abstract

The present study investigated if adolescent substance use disorders (SUD) and internet/gaming addiction (IGA) exhibit shared associations with delinquency and childhood adversity. We examined data from 260 adolescents who presented at an addiction treatment center. Information on diagnosis, history of delinquency and childhood adversity were obtained based on retrospective chart review. Logistic regression was conducted to examine factors associated with SUD and IGA. Adolescents with older age of presentation, non-Chinese ethnicity, a history of delinquency or childhood adversity were more likely to have SUD; while adolescents with non-Chinese ethnicity or a history of delinquency were less likely to have IGA. Additionally, IGA was not associated with age of presentation, gender, or childhood adversity. Adolescent SUD and IGA have different associations with risk factors. IGA does not appear to belong with a cluster of adolescent problem behaviors. More research is needed to clarify diagnostic and etiologic conceptualizations.
Literature
go back to reference American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author. American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author.
go back to reference Barnes, G. M., Hoffman, J. H., Welte, J. W., Farrell, M. P., & Dintcheff, B. A. (2006). Adolescents’ time use: effects on substance use, delinquency and sexual activity. Journal of Youth and Adolescence, 36(5), 697–710. doi:10.1007/s10964-006-9075-0.CrossRef Barnes, G. M., Hoffman, J. H., Welte, J. W., Farrell, M. P., & Dintcheff, B. A. (2006). Adolescents’ time use: effects on substance use, delinquency and sexual activity. Journal of Youth and Adolescence, 36(5), 697–710. doi:10.​1007/​s10964-006-9075-0.CrossRef
go back to reference De Leo, J. A., & Wulfert, E. (2013). Problematic internet use and other risky behaviors in college students: an application of problem-behavior theory. Psychology of Addictive Behaviors, 27(1), 133–141. doi:10.1037/a0030823.CrossRefPubMed De Leo, J. A., & Wulfert, E. (2013). Problematic internet use and other risky behaviors in college students: an application of problem-behavior theory. Psychology of Addictive Behaviors, 27(1), 133–141. doi:10.​1037/​a0030823.CrossRefPubMed
go back to reference De Looze, M., Ter Bogt, T. F. M., Raaijmakers, Q. A. W., Pickett, W., Kuntsche, E., & Vollebergh, W. A. M. (2015). Cross-national evidence for the clustering and psychosocial correlates of adolescent risk behaviours in 27 countries. European Journal of Public Health, 25(1), 50–56. doi:10.1093/eurpub/cku083.CrossRefPubMed De Looze, M., Ter Bogt, T. F. M., Raaijmakers, Q. A. W., Pickett, W., Kuntsche, E., & Vollebergh, W. A. M. (2015). Cross-national evidence for the clustering and psychosocial correlates of adolescent risk behaviours in 27 countries. European Journal of Public Health, 25(1), 50–56. doi:10.​1093/​eurpub/​cku083.CrossRefPubMed
go back to reference Demetrovics, Z., Szeredi, B., & Rozsa, S. (2008). The three-factor model of internet addiction: the development of the problematic internet use questionnaire. Behavior Research Methods, 40(2), 563–574.CrossRefPubMed Demetrovics, Z., Szeredi, B., & Rozsa, S. (2008). The three-factor model of internet addiction: the development of the problematic internet use questionnaire. Behavior Research Methods, 40(2), 563–574.CrossRefPubMed
go back to reference Dube, S. R., Felitti, V. J., Dong, M., Chapman, D. P., Giles, W. H., & Anda, R. F. (2003). Childhood abuse, neglect, and household dysfunction and the risk of illicit drug use: the adverse childhood experiences study. Pediatrics, 111(3), 564–572.CrossRefPubMed Dube, S. R., Felitti, V. J., Dong, M., Chapman, D. P., Giles, W. H., & Anda, R. F. (2003). Childhood abuse, neglect, and household dysfunction and the risk of illicit drug use: the adverse childhood experiences study. Pediatrics, 111(3), 564–572.CrossRefPubMed
go back to reference Dube, S. R., Miller, J. W., Brown, D. W., Giles, W. H., Felitti, V. J., Dong, M., et al. (2006). Adverse childhood experiences and the association with ever using alcohol and initiating alcohol use during adolescence. Journal of Adolescent Health, 38(4), 444.e1–444.10. doi:10.1016/j.jadohealth.2005.06.006.CrossRef Dube, S. R., Miller, J. W., Brown, D. W., Giles, W. H., Felitti, V. J., Dong, M., et al. (2006). Adverse childhood experiences and the association with ever using alcohol and initiating alcohol use during adolescence. Journal of Adolescent Health, 38(4), 444.e1–444.10. doi:10.​1016/​j.​jadohealth.​2005.​06.​006.CrossRef
go back to reference Durkee, T., Carli, V., Floderus, B., Wasserman, C., Sarchiapone, M., Apter, A., et al. (2016). Pathological internet use and risk-behaviors among European adolescents. International Journal of Environmental Research and Public Health, 13(3), 294. doi:10.3390/ijerph13030294.CrossRefPubMedCentral Durkee, T., Carli, V., Floderus, B., Wasserman, C., Sarchiapone, M., Apter, A., et al. (2016). Pathological internet use and risk-behaviors among European adolescents. International Journal of Environmental Research and Public Health, 13(3), 294. doi:10.​3390/​ijerph13030294.CrossRefPubMedCentral
go back to reference Farrington, D. P., & Loeber, R. (2000). Epidemiology of juvenile violence. Child and Adolescent Psychiatric Clinics of North America, 9(4), 733–748.PubMed Farrington, D. P., & Loeber, R. (2000). Epidemiology of juvenile violence. Child and Adolescent Psychiatric Clinics of North America, 9(4), 733–748.PubMed
go back to reference Ford, J. D., Elhai, J. D., Connor, D. F., & Frueh, B. C. (2010). Poly-victimization and risk of posttraumatic, depressive, and substance use disorders and involvement in delinquency in a national sample of adolescents. Journal of Adolescent Health, 46(6), 545–552. doi:10.1016/j.jadohealth.2009.11.212.CrossRefPubMed Ford, J. D., Elhai, J. D., Connor, D. F., & Frueh, B. C. (2010). Poly-victimization and risk of posttraumatic, depressive, and substance use disorders and involvement in delinquency in a national sample of adolescents. Journal of Adolescent Health, 46(6), 545–552. doi:10.​1016/​j.​jadohealth.​2009.​11.​212.CrossRefPubMed
go back to reference Griffiths, M. D., van Rooij, A. J., Kardefelt-Winther, D., Starcevic, V., Kiraly, O., Pallesen, S., et al. (2016). Working towards an international consensus on criteria for assessing internet gaming disorder: A critical commentary on Petry et al. (2014). Addiction, 111(1), 167–175. doi:10.1111/add.13057.CrossRefPubMed Griffiths, M. D., van Rooij, A. J., Kardefelt-Winther, D., Starcevic, V., Kiraly, O., Pallesen, S., et al. (2016). Working towards an international consensus on criteria for assessing internet gaming disorder: A critical commentary on Petry et al. (2014). Addiction, 111(1), 167–175. doi:10.​1111/​add.​13057.CrossRefPubMed
go back to reference Hovdestad, W. E., Tonmyr, L., Wekerle, C., & Thornton, T. (2011). Why is childhood maltreatment associated with adolescent substance abuse? A critical review of explanatory models. International Journal of Mental Health and Addiction, 9(5), 525–542. doi:10.1007/s11469-011-9322-9.CrossRef Hovdestad, W. E., Tonmyr, L., Wekerle, C., & Thornton, T. (2011). Why is childhood maltreatment associated with adolescent substance abuse? A critical review of explanatory models. International Journal of Mental Health and Addiction, 9(5), 525–542. doi:10.​1007/​s11469-011-9322-9.CrossRef
go back to reference Jessor, R. (1991). Risk behavior in adolescence: a psychosocial framework for understanding and action. Journal of Adolescent Health, 12(8), 597–605.CrossRefPubMed Jessor, R. (1991). Risk behavior in adolescence: a psychosocial framework for understanding and action. Journal of Adolescent Health, 12(8), 597–605.CrossRefPubMed
go back to reference Ko, C.-H., Yen, J.-Y., Yen, C.-F., Chen, C.-S., Weng, C.-C., & Chen, C.-C. (2008). The association between internet addiction and problematic alcohol use in adolescents: the problem behavior model. Cyberpsychology, Behavior and Social Networking, 11(5), 571–576. doi:10.1089/cpb.2007.0199.CrossRef Ko, C.-H., Yen, J.-Y., Yen, C.-F., Chen, C.-S., Weng, C.-C., & Chen, C.-C. (2008). The association between internet addiction and problematic alcohol use in adolescents: the problem behavior model. Cyberpsychology, Behavior and Social Networking, 11(5), 571–576. doi:10.​1089/​cpb.​2007.​0199.CrossRef
go back to reference Kuss, D. J., Shorter, G. W., Rooij, A. J., Griffiths, M. D., & Schoenmakers, T. M. (2013). Assessing internet addiction using the parsimonious internet addiction components model - a preliminary study. International Journal of Mental Health and Addiction, 12(3), 351–366. doi:10.1007/s11469-013-9459-9. Kuss, D. J., Shorter, G. W., Rooij, A. J., Griffiths, M. D., & Schoenmakers, T. M. (2013). Assessing internet addiction using the parsimonious internet addiction components model - a preliminary study. International Journal of Mental Health and Addiction, 12(3), 351–366. doi:10.​1007/​s11469-013-9459-9.
go back to reference Layne, C. M., Greeson, J. K. P., Ostrowski, S. A., Kim, S., Reading, S., Vivrette, R. L., et al. (2014). Cumulative trauma exposure and high risk behavior in adolescence: findings from the National Child Traumatic Stress Network Core Data Set. Psychological Trauma: Theory, Research, Practice, and Policy, 6(Suppl 1), S40–S49. doi:10.1037/a0037799.CrossRef Layne, C. M., Greeson, J. K. P., Ostrowski, S. A., Kim, S., Reading, S., Vivrette, R. L., et al. (2014). Cumulative trauma exposure and high risk behavior in adolescence: findings from the National Child Traumatic Stress Network Core Data Set. Psychological Trauma: Theory, Research, Practice, and Policy, 6(Suppl 1), S40–S49. doi:10.​1037/​a0037799.CrossRef
go back to reference Loeber, R., Stouthamer-Loeber, M., & White, H. R. (1999). Developmental aspects of delinquency and internalizing problems and their association with persistent juvenile substance use between ages 7 and 18. Journal of Clinical Child Psychology, 28(3), 322–332. doi:10.1207/S15374424jccp280304.CrossRefPubMed Loeber, R., Stouthamer-Loeber, M., & White, H. R. (1999). Developmental aspects of delinquency and internalizing problems and their association with persistent juvenile substance use between ages 7 and 18. Journal of Clinical Child Psychology, 28(3), 322–332. doi:10.​1207/​S15374424jccp280​304.CrossRefPubMed
go back to reference Mak, K.-K., Lai, C.-M., Watanabe, H., Kim, D.-I., Bahar, N., Ramos, M., et al. (2014). Epidemiology of internet behaviors and addiction among adolescents in six Asian countries. Cyberpsychology, Behavior and Social Networking, 17(11), 720–728. doi:10.1089/cyber.2014.0139.CrossRefPubMed Mak, K.-K., Lai, C.-M., Watanabe, H., Kim, D.-I., Bahar, N., Ramos, M., et al. (2014). Epidemiology of internet behaviors and addiction among adolescents in six Asian countries. Cyberpsychology, Behavior and Social Networking, 17(11), 720–728. doi:10.​1089/​cyber.​2014.​0139.CrossRefPubMed
go back to reference Mason, W. A., & Windle, M. (2002). Reciprocal relations between adolescent substance use and delinquency: a longitudinal latent variable analysis. Journal of Abnormal Psychology, 111(1), 63–76.CrossRefPubMed Mason, W. A., & Windle, M. (2002). Reciprocal relations between adolescent substance use and delinquency: a longitudinal latent variable analysis. Journal of Abnormal Psychology, 111(1), 63–76.CrossRefPubMed
go back to reference Mason, W. A., January, S.-A. A., Chmelka, M. B., Parra, G. R., Savolainen, J., Miettunen, J., et al. (2016). Cumulative contextual risk at birth in relation to adolescent substance use, conduct problems, and risky sex: general and specific predictive associations in a Finnish birth cohort. Addictive Behaviors, 58, 161–166. doi:10.1016/j.addbeh.2016.02.031.CrossRefPubMed Mason, W. A., January, S.-A. A., Chmelka, M. B., Parra, G. R., Savolainen, J., Miettunen, J., et al. (2016). Cumulative contextual risk at birth in relation to adolescent substance use, conduct problems, and risky sex: general and specific predictive associations in a Finnish birth cohort. Addictive Behaviors, 58, 161–166. doi:10.​1016/​j.​addbeh.​2016.​02.​031.CrossRefPubMed
go back to reference Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychological Review, 100(4), 674–701.CrossRefPubMed Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychological Review, 100(4), 674–701.CrossRefPubMed
go back to reference Ni, X., Yan, H., Chen, S., & Liu, Z. (2009). Factors influencing internet addiction in a sample of freshmen university students in China. Cyberpsychology & Behavior, 12(3), 327–330. doi:10.1089/cpb.2008.0321.CrossRef Ni, X., Yan, H., Chen, S., & Liu, Z. (2009). Factors influencing internet addiction in a sample of freshmen university students in China. Cyberpsychology & Behavior, 12(3), 327–330. doi:10.​1089/​cpb.​2008.​0321.CrossRef
go back to reference Park, S. K., Kim, J. Y., & Cho, C. B. (2008). Prevalence of internet addiction and correlations with family factors among south Korean adolescents. Adolescence, 43(172), 895–909.PubMed Park, S. K., Kim, J. Y., & Cho, C. B. (2008). Prevalence of internet addiction and correlations with family factors among south Korean adolescents. Adolescence, 43(172), 895–909.PubMed
go back to reference Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H.-J., Mossle, T., et al. (2014). An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction, 109(9), 1399–1406. doi:10.1111/add.12457.CrossRefPubMed Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H.-J., Mossle, T., et al. (2014). An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction, 109(9), 1399–1406. doi:10.​1111/​add.​12457.CrossRefPubMed
go back to reference 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. doi:10.1159/000335662.CrossRefPubMed 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. doi:10.​1159/​000335662.CrossRefPubMed
go back to reference Yen, J.-Y., Yen, C.-F., Chen, C.-C., Chen, S.-H., & Ko, C.-H. (2007). Family factors of internet addiction and substance use experience in Taiwanese adolescents. Cyberpsychology & Behavior, 10(3), 323–329. doi:10.1089/cpb.2006.994.CrossRef Yen, J.-Y., Yen, C.-F., Chen, C.-C., Chen, S.-H., & Ko, C.-H. (2007). Family factors of internet addiction and substance use experience in Taiwanese adolescents. Cyberpsychology & Behavior, 10(3), 323–329. doi:10.​1089/​cpb.​2006.​994.CrossRef
Metadata
Title
Differential Risk Factors Associated with Adolescent Addictive Disorders: a Comparison between Substance Use Disorders and Internet/Gaming Addiction
Authors
Rebecca H. S. Ong
Chao Xu Peh
Song Guo
Publication date
01-12-2016
Publisher
Springer US
Published in
International Journal of Mental Health and Addiction / Issue 6/2016
Print ISSN: 1557-1874
Electronic ISSN: 1557-1882
DOI
https://doi.org/10.1007/s11469-016-9676-0

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