Abstract
In the present study, we employed network analysis that conceptualizes internet addiction (IA) as a complex network of mutually influencing symptoms in 108 adolescents with autism spectrum disorder (ASD) to examine the network architecture of IA symptoms and identify central/influential symptoms. Our analysis revealed that defensive and secretive behaviors and concealment of internet use were identified as central symptoms in this population, suggesting that mitigating these symptoms potentially prevent the development and/or maintenance of IA in adolescents with ASD. Providing adolescents and their caregivers with psychoeducation on the role of central symptoms above in IA can be a salient intervention. Doing so may facilitate nonconflicting conversations between them about adolescents’ internet use and promote more healthy adolescents’ internet use behavior.
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Beard, C., Millner, A. J., Forgeard, M. J. C., Fried, E. I., Hsu, K. J., Treadway, M. T., et al. (2016). Network analysis of depression and anxiety symptom relationships in a psychiatric sample. Psychological Medicine, 46(16), 3359–3369. https://doi.org/10.1017/S0033291716002300.
Borsboom, D. (2017). A network theory of mental disorders. World psychiatry: official journal of the World Psychiatric Association (WPA), 16(1), 5–13. https://doi.org/10.1002/wps.20375.
Borsboom, D., & Cramer, A. O. J. (2013). Network Analysis: An Integrative Approach to the Structure of Psychopathology. Annual Review of Clinical Psychology, 9(1), 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608.
Černja, I., Vejmelka, L., & Rajter, M. (2019). Internet addiction test: Croatian preliminary study. BMC Psychiatry, 19(1), 388. https://doi.org/10.1186/s12888-019-2366-2.
Chen, J., & Chen, Z. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95(3), 759–771. https://doi.org/10.1093/biomet/asn034.
Chen, L., Zhou, H., Gu, Y., Wang, S., Wang, J., Tian, L., et al. (2018). The Neural Correlates of Implicit Cognitive Bias Toward Internet-Related Cues in Internet Addiction: An ERP Study. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2018.00421.
Chen, Y.-F., & Peng, S. S. (2008). University students’ internet use and its relationships with academic performance, interpersonal relationships, psychosocial adjustment, and self-evaluation. CyberPsychology and Behavior, 11(4), 467–469. https://doi.org/10.1089/cpb.2007.0128.
Du, Y., Jiang, W., & Vance, A. (2010). Longer term effect of randomized, controlled group cognitive behavioural therapy for internet addiction in adolescent students in Shanghai. Australian & New Zealand Journal of Psychiatry, 44(2), 129–134. https://doi.org/10.3109/00048670903282725.
Dufour, M., Brunelle, N., Tremblay, J., Leclerc, D., Cousineau, M. M., Khazaal, Y., et al. (2016). Gender Difference in Internet Use and Internet Problems among Quebec High School Students. Canadian Journal of Psychiatry Revue Canadienne de Psychiatrie, 61(10), 663–668. https://doi.org/10.1177/0706743716640755.
Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., Floderus, B., et al. (2012). Prevalence of pathological internet use among adolescents in Europe: demographic and social factors. Addiction (Abingdon, England), 107(12), 2210–2222. https://doi.org/10.1111/j.1360-0443.2012.03946.x.
Engelhardt, C. R., Mazurek, M. O., & Hilgard, J. (2017). Pathological game use in adults with and without Autism Spectrum Disorder. PeerJ, 5, e3393. https://doi.org/10.7717/peerj.3393.
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1.
Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). Network Visualizations of Relationships in Psychometric Data. Journal of Statistical Software, 48(1), 1–18. https://doi.org/10.18637/jss.v048.i04.
Epskamp, S., Kruis, J., & Marsman, M. (2017). Estimating psychopathological networks Be careful what you wish for. PLoS ONE. https://doi.org/10.1371/journal.pone.0179891.
Fattore, L., Melis, M., Fadda, P., & Fratta, W. (2014). Sex differences in addictive disorders. Frontiers in Neuroendocrinology, 35(3), 272–284. https://doi.org/10.1016/j.yfrne.2014.04.003.
Finkenauer, C., Pollmann, M. M. H., Begeer, S., & Kerkhof, P. (2012). Brief Report: Examining the Link Between Autistic Traits and Compulsive Internet Use in a Non-Clinical Sample. Journal of Autism and Developmental Disorders, 42(10), 2252–2256. https://doi.org/10.1007/s10803-012-1465-4.
Fioravanti, G., Dèttore, D., & Casale, S. (2012). Adolescent internet addiction: testing the association between self-esteem, the perception of internet attributes, and preference for online social interactions. Cyberpsychology, Behavior, and Social Networking, 15(6), 318–323. https://doi.org/10.1089/cyber.2011.0358.
Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A., & Borsboom, D. (2017). Mental disorders as networks of problems: a review of recent insights. Social Psychiatry and Psychiatric Epidemiology, 52(1), 1–10. https://doi.org/10.1007/s00127-016-1319-z.
Goldstein, R. Z., & Volkow, N. D. (2002). Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex. The American Journal of Psychiatry, 159(10), 1642–1652. https://doi.org/10.1176/appi.ajp.159.10.1642.
Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359.
Hirota, T., Deserno, M., & McElroy, E. (2020). The Network Structure of Irritability and Aggression in Individuals with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-019-04354-w.
Kaess, M., Durkee, T., Brunner, R., Carli, V., Parzer, P., Wasserman, C., et al. (2014). Pathological Internet use among European adolescents: psychopathology and self-destructive behaviours. European Child & Adolescent Psychiatry, 23(11), 1093–1102. https://doi.org/10.1007/s00787-014-0562-7.
Kawabe, K., Horiuchi, F., Miyama, T., Jogamoto, T., Aibara, K., Ishii, E., et al. (2019). Internet addiction and attention-deficit / hyperactivity disorder symptoms in adolescents with autism spectrum disorder. Research in Developmental Disabilities, 89, 22–28. https://doi.org/10.1016/j.ridd.2019.03.002.
Ko, C.-H., Yen, J.-Y., Yen, C.-F., Chen, C.-S., & Chen, C.-C. (2012). The association between Internet addiction and psychiatric disorder: A review of the literature. European Psychiatry, 27(1), 1–8. https://doi.org/10.1016/j.eurpsy.2010.04.011.
Kuss, D. J., & Lopez-Fernandez, O. (2016). Internet addiction and problematic Internet use: A systematic review of clinical research. World Journal of Psychiatry, 6(1), 143–176. https://doi.org/10.5498/wjp.v6.i1.143.
Lai, C.-M., Mak, K.-K., Watanabe, H., Ang, R. P., Pang, J. S., & Ho, R. C. M. (2013). Psychometric properties of the internet addiction test in Chinese adolescents. Journal of Pediatric Psychology, 38(7), 794–807. https://doi.org/10.1093/jpepsy/jst022.
MacMullin, J. A., Lunsky, Y., & Weiss, J. A. (2016). Plugged in Electronics use in youth and young adults with autism spectrum disorder. Autism The International Journal of Research and Practice, 20(1), 45–54. https://doi.org/10.1177/1362361314566047.
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. https://doi.org/10.1089/cyber.2014.0139.
Mazurek, M. O., & Engelhardt, C. R. (2013). Video game use in boys with autism spectrum disorder, ADHD, or typical development. Pediatrics, 132(2), 260–266. https://doi.org/10.1542/peds.2012-3956.
McNally, R. J. (2016). Can network analysis transform psychopathology? Behaviour Research and Therapy, 86, 95–104. https://doi.org/10.1016/j.brat.2016.06.006.
Montazeri, F., de Bildt, A., Dekker, V., & Anderson, G. M. (2018). Network Analysis of Anxiety in the Autism Realm. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-018-3474-4.
Montazeri, F., de Bildt, A., Dekker, V., & Anderson, G. M. (2019). Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-019-03914-4.
Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245–251. https://doi.org/10.1016/j.socnet.2010.03.006.
Pan, N., Yang, Y., Du, X., Qi, X., Du, G., Zhang, Y., et al. (2018). Brain Structures Associated with Internet Addiction Tendency in Adolescent Online Game Players. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2018.00067.
Rhemtulla, M., Fried, E. I., Aggen, S. H., Tuerlinckx, F., Kendler, K. S., & Borsboom, D. (2016). Network analysis of substance abuse and dependence symptoms. Drug and Alcohol Dependence, 161, 230–237. https://doi.org/10.1016/j.drugalcdep.2016.02.005.
Ruzzano, L., Borsboom, D., & Geurts, H. M. (2015). Repetitive behaviors in autism and obsessive-compulsive disorder: new perspectives from a network analysis. Journal of Autism and Developmental Disorders, 45(1), 192–202. https://doi.org/10.1007/s10803-014-2204-9.
Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321–325. https://doi.org/10.1016/j.chb.2015.12.045.
Shane-Simpson, C., Brooks, P. J., Obeid, R., Denton, E., & Gillespie-Lynch, K. (2016). Associations between compulsive internet use and the autism spectrum. Research in Autism Spectrum Disorders, 23, 152–165. https://doi.org/10.1016/j.rasd.2015.12.005.
Simonoff, E., Pickles, A., Charman, T., Chandler, S., Loucas, T., & Baird, G. (2008). Psychiatric disorders in children with autism spectrum disorders: prevalence, comorbidity, and associated factors in a population-derived sample. Journal of the American Academy of Child and Adolescent Psychiatry, 47(8), 921–929. https://doi.org/10.1097/CHI.0b013e318179964f.
So, R., Makino, K., Fujiwara, M., Hirota, T., Ohcho, K., Ikeda, S., et al. (2017). The Prevalence of Internet Addiction Among a Japanese Adolescent Psychiatric Clinic Sample With Autism Spectrum Disorder and/or Attention-Deficit Hyperactivity Disorder: A Cross-Sectional Study. Journal of Autism and Developmental Disorders, 47(7), 2217–2224. https://doi.org/10.1007/s10803-017-3148-7.
Spada, M. M. (2014). An overview of problematic internet use. Addictive Behaviors, 39(1), 3–6. https://doi.org/10.1016/j.addbeh.2013.09.007.
Tang, J., Yu, Y., Du, Y., Ma, Y., Zhang, D., & Wang, J. (2014). Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users. Addictive Behaviors, 39(3), 744–747. https://doi.org/10.1016/j.addbeh.2013.12.010.
van Borkulo, C. D. (2016). Package ‘NetworkComparisonTest’: Statistical Comparison of Two Networks Based on Three Invariance Measures. CRAN.
van Rooijen, G., Isvoranu, A.-M., Meijer, C. J., van Borkulo, C. D., Ruhé, H. G., de Haan, L., et al. (2017). A symptom network structure of the psychosis spectrum. Schizophrenia Research, 189, 75–83. https://doi.org/10.1016/j.schres.2017.02.018.
Weiser, E. B. (2000). Gender differences in internet use patterns and internet application preferences: a two-sample comparison. CyberPsychology and Behavior, 3(2), 167–178. https://doi.org/10.1089/109493100316012.
Young, K. S. (1998). Internet addiction: the emergence of a new clinical disorder. CyberPsychology & Behavior, 1(3), 237–244. https://doi.org/10.1089/cpb.1998.1.237.
Young, K. S. (2007). Cognitive behavior therapy with internet addicts: treatment outcomes and implications. CyberPsychology & Behavior, 10(5), 671–679. https://doi.org/10.1089/cpb.2007.9971.
Yücens, B., & Üzer, A. (2018). The relationship between internet addiction, social anxiety, impulsivity, self-esteem, and depression in a sample of Turkish undergraduate medical students. Psychiatry Research, 267, 313–318. https://doi.org/10.1016/j.psychres.2018.06.033.
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This study was approved by the institutional review board at Okayama psychiatric medical center before study enrollment commenced. The authors obtained written informed assent forms from the adolescent participants and written informed consent forms from the participants’ parents.
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Hirota, T., McElroy, E. & So, R. Network Analysis of Internet Addiction Symptoms Among a Clinical Sample of Japanese Adolescents with Autism Spectrum Disorder. J Autism Dev Disord 51, 2764–2772 (2021). https://doi.org/10.1007/s10803-020-04714-x
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DOI: https://doi.org/10.1007/s10803-020-04714-x