Abstract
This study examined the relationship between family socioeconomic status (SES) and adolescent internet gaming disorder (IGD). A total of 94 schools were invited to participate in the study; 3123 students were enrolled from 32 schools, and data were collected through a self-report survey. The Family Affluence Scale (FAS) was used to assess SES, and the Internet Gaming Use-Elicited Symptom Screen (IGUESS) was used to measure IGD risk. Statistical analysis involved ANOVAs, chi-square tests, logistic regression, exploratory factor analysis, and latent factor analysis (LCA). SES, as measured by the FAS, significantly influenced IGD risk. The low-affluence group had a higher risk of IGD than the high-affluence group (OR = 2.051). The findings highlight the importance of interventions for low-affluence adolescents in addressing IGD. In particular, the LCA analysis found that underprivileged children are a more vulnerable group to IGD. The FAS can be used to conduct practical assessments and aid in these efforts.
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Data Availability
The datasets generated or analyzed during the study are not publicly available due to specific restrictions outlined in the informed consent agreements obtained from the research participants or data owners but are available from the corresponding author on reasonable request.
References
Álvarez, M., Torres, A., Rodríguez, E., Padilla, S., & Rodrigo, M. J. (2013). Attitudes and parenting dimensions in parents’ regulation of Internet use by primary and secondary school children. Computers & Education, 67, 69–78. https://doi.org/10.1016/j.compedu.2013.03.005
Ankara, H. G., & Baykal, D. (2022). The socioeconomic and sociodemographic factors affecting digital gaming addiction among generation Z. Telematics and Informatics Reports, 8, 100032. https://doi.org/10.1016/j.teler.2022.100032
Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The interaction of person-affect-cognition-execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 104, 1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032
Çakir, Ö., Tuncay, A., & Horzum, M. B. (2011). An investigation of university students’ internet and game addiction with respect to several variables. Ankara University Journal of Faculty of Educational Sciences (JFES), 44(2), 95–118. https://doi.org/10.1501/Egifak_0000001226
Carbonell, X., Chamarro, A., Oberst, U., Rodrigo, B., & Prades, M. (2018). Problematic use of the internet and smartphones in university students: 2006–2017. International Journal of Environmental Research and Public Health, 15(3), 475. https://doi.org/10.3390/ijerph15030475
Collins, S. E. (2016). Associations between socioeconomic factors and alcohol outcomes. Alcohol Research : Current Reviews, 38(1), 83–94.
Corell, M., Chen, Y., Friberg, P., Petzold, M., & Löfstedt, P. (2021). Does the family affluence scale reflect actual parental earned income, level of education and occupational status? A validation study using register data in Sweden. BMC Public Health, 21(1), 1995. https://doi.org/10.1186/s12889-021-11968-2
Cudo, A., Wojtasiński, M., Tużnik, P., Fudali-Czyż, A., & Griffiths, M. D. (2022). The relationship between depressive symptoms, loneliness, self-control, and gaming disorder among polish male and female gamers: The indirect effects of gaming motives. International Journal of Environmental Research and Public Health, 19(16), 10438. https://doi.org/10.3390/ijerph191610438
Currie, C., Molcho, M., Boyce, W., Holstein, B., Torsheim, T., & Richter, M. (2008). Researching health inequalities in adolescents: The development of the health behaviour in school-aged children (HBSC) family affluence scale. Social Science and Medicine, 66(6), 1429–1436. https://doi.org/10.1016/j.socscimed.2007.11.024
Djerboua, M., Chen, B. E., & Davison, C. M. (2016). Physical fighting, fighting-related injuries and family affluence among Canadian youth. BMC Public Health, 16, 199. https://doi.org/10.1186/s12889-016-2886-3
Eynon, R., & Helsper, E. (2015). Family dynamics and Internet use in Britain: What role do children play in adults’ engagement with the Internet? Information, Communication & Society, 18(2), 156–171. https://doi.org/10.1080/1369118X.2014.942344
Fismen, A. S., Samdal, O., & Torsheim, T. (2012). Family affluence and cultural capital as indicators of social inequalities in adolescent’s eating behaviours: A population-based survey. BMC Public Health, 12(1), 1036. https://doi.org/10.1186/1471-2458-12-1036
Hartley, J. E., Levin, K., & Currie, C. (2016). A new version of the HBSC family affluence scale - FAS III: Scottish qualitative findings from the international FAS development study. Child Indicators Research, 9, 233–245. https://doi.org/10.1007/s12187-015-9325-3
Heo, J., Oh, J., Subramanian, S. V., Kim, Y., & Kawachi, I. (2014). Addictive internet use among Korean adolescents: A national survey. PLoS One, 9(2), e87819. https://doi.org/10.1371/journal.pone.0087819
Jeong, H., Yim, H. W., Lee, S. Y., Lee, H. K., Potenza, M. N., Jo, S. J., & Son, H. J. (2020). A partial mediation effect of father-child attachment and self-esteem between parental marital conflict and subsequent features of internet gaming disorder in children: A 12-month follow-up study. BMC Public Health, 20(1), 484. https://doi.org/10.1186/s12889-020-08615-7
Jeong, H., Yim, H. W., Lee, S. Y., Lee, H. K., Potenza, M. N., & Lee, H. (2021). Factors associated with severity, incidence or persistence of internet gaming disorder in children and adolescents: A 2-year longitudinal study. Addiction, 116(7), 1828–1838. https://doi.org/10.1111/add.15366
Jhone, J. H., Song, I. H., Lee, M. S., Yoon, J. Y., & Bhang, S. Y. (2021). Is the I-PACE (interaction of person-affect-cognition-execution) model valid in South Korea? The effects of adverse childhood experiences (ACEs) on internet gaming disorder and the mediating effect of stress on adolescents. Journal of Behavioral Addictions, 10(4), 967–982. https://doi.org/10.1556/2006.2021.00081
Jo, S. J., Yim, H. W., Lee, H. K., Lee, H. C., Choi, J. S., & Baek, K. Y. (2018). The internet game use-elicited symptom screen proved to be a valid tool for adolescents aged 10–19 years. Acta Paediatrica, 107(3), 511–516. https://doi.org/10.1111/apa.14087
Korea creative content agency. (2022). 2022 Kids and Teens Gaming Behavior Survey. [Online] kocca.kr. Retrieved from https://www.kocca.kr/kocca/bbs/view/B0000147/2002637.do?searchCnd=1&searchWrd=&cateTp1=&cateTp2=&useYn=&menuNo=204153&categorys=0&subcate=0&cateCode=&type=&instNo=0&questionTp=&ufSetting=&recovery=&option1=&option2=&year=&morePage=&
Lee, M. S., & Bhang, S. Y. (2023). Attention, externalizing and internalizing problems mediated differently on internet gaming disorder among children and adolescents with a family history of addiction as an adverse childhood experience. Journal of Korean Medical Science, 38(27), e221. https://doi.org/10.3346/jkms.2023.38.e221
Lowthian, E., Page, N., Melendez-Torres, G. J., Murphy, S., Hewitt, G., & Moore, G. (2021). Using latent class analysis to explore complex associations between socioeconomic status and adolescent health and well-being. Journal of Adolescent Health, 69(5), 774–781.
Marmot, M. (2013). Fair society, healthy lives. Fair Society, Healthy Lives, 1–74. https://doi.org/10.1093/acprof:oso/9780199931392.003.0019
Melotti, R., Heron, J., Hickman, M., Macleod, J., Araya, R., & Lewis, G. (2011). Adolescent alcohol and tobacco use and early socioeconomic position: the ALSPAC birth cohort. Pediatrics, 127(4), e948–e955.
Nasr, I., Sivarajasingam, V., Jones, S., & Shepherd, J. (2010). Gender inequality in the risk of violence: Material deprivation is linked to higher risk for adolescent girls. Emergency Medicine Journal, 27(11), 811–814. https://doi.org/10.1136/emj.2008.068528
Office of Communications. (2022). Children and parents: Media use and attitudes report 2022. [online] Ofcom.org.uk. Retrieved from https://www.ofcom.org.uk/__data/assets/pdf_file/0024/234609/childrens-media-use-and-attitudes-report-2022.pdf
Ostinelli, E. G., Zangani, C., Giordano, B., Maestri, D., Gambini, O., D’Agostino, A., Furukawa, T. A., & Purgato, M. (2021). Depressive symptoms and depression in individuals with internet gaming disorder: A systematic review and meta-analysis. Journal of Affective Disorders, 284, 136–142. https://doi.org/10.1016/j.jad.2021.02.014
Özgür, H. (2019). Online game addiction among Turkish adolescents: The effect of internet parenting style. Malaysian Online Journal of Educational Technology, 7, 47–68. https://doi.org/10.17220/mojet.2019.01.004
Pasquier, F., Grymonprez, L., Lebert, F., & Van der Linden, M. (2001). Memory impairment differs in frontotemporal dementia and Alzhemier’s disease. Neurocase, 7(2), 161–171. https://doi.org/10.1093/neucas/7.2.161
Rikkers, W., Lawrence, D., Hafekost, J., & Zubrick, S. R. (2016). Internet use and electronic gaming by children and adolescents with emotional and behavioural problems in Australia - Results from the second child and adolescent survey of mental health and wellbeing. BMC Public Health, 16, 399. https://doi.org/10.1186/s12889-016-3058-1
Rouchun, D., Zongkui, Z., Shuailei, L., Qingqi, L., & Chen, G. (2021). Family socioeconomic status and the parent-child relationship: Children’s Internet use as a moderated mediator. Current Psychology, 40, 4384–4393. https://doi.org/10.1007/s12144-019-00356-0
Şahin, C., & Tuğrul, V. (2012). Defining the levels of computer game addiction of the primary school students. Journal of World of Turks, 4(3), 115–130.
Schneider, L. A., King, D. L., & Delfabbro, P. H. (2017). Family factors in adolescent problematic Internet gaming: A systematic review. Journal of Behavioral Addictions, 6(3), 321–333. https://doi.org/10.1556/2006.6.2017.035
Seo, J., Lee, C. S., Lee, Y. J., Bhang, S. Y., & Lee, D. (2021). The type of daily life stressors associated with social media use in adolescents with problematic internet/smartphone use. Psychiatry Investigation, 18(3), 241–248. https://doi.org/10.30773/pi.2020.0060
Severo, R. B., Soares, J. M., Affonso, J. P., Giusti, D. A., De Souza Junior, A. A., De Figueiredo, V. L., Pinheiro, K. A., & Pontes, H. M. (2020). Prevalence and risk factors for internet gaming disorder. Brazilian Journal of Psychiatry, 42(5), 532–535. https://doi.org/10.1590/1516-4446-2019-0760
Skogen, J. C., Sivertsen, B., Hysing, M., Heradstveit, O., & Bøe, T. (2019). Economic circumstances in childhood and subsequent substance use in adolescence–a latent class analysis: The youth@ hordaland study. Frontiers in psychology, 10, 1115.
Smahel, D., Machackova, H., Mascheroni, G., Dedkova, L., Staksrud, E., Ólafsson, K., ... & Hasebrink, U. (2020). EU kids online 2020: Survey results from 19 countries. EU Kids.
Toker, S., & Baturay, M. H. (2016). Antecedents and consequences of game addiction. Computers in Human Behavior, 55, 668–679.
International Telecommunication Union [Website]. (2023, July, 31). Retrieve from https://www.itu.int/en/ITUD/Statistics/Pages/stat/default.aspx#:~:text=ITU%20estimates%20that%20approximately%205.3%20billion%20people%20%E2%80%93,estimated%20to%20have%20come%20online%20during
Wood, R. T. A., Gupta, R., Derevensky, J. L., & Griffiths, M. (2004). Video game playing and gambling in adolescents: Common risk factors. Journal of Child & Adolescent Substance Abuse, 14(1), 77–100. https://doi.org/10.1300/J029v14n01_05
Yang, X., Jiang, X., Mo, P. K., Cai, Y., Ma, L., & Lau, J. T. (2020). Prevalence and interpersonal correlates of internet gaming disorders among Chinese adolescents. International Journal of Environmental Research and Public Health, 17(2), 579. https://doi.org/10.3390/ijerph17020579
Yoo, C., Kim, Y., & Lee, J. (2021). Estimation of social cost for the inclusion of gaming disorder in public disease category. Korea Society of Innovation, 16, 131–156. https://doi.org/10.46251/INNOS.2021.11.16.4.131
Zajac, K., Ginley, M. K., & Chang, R. (2020). Treatments of internet gaming disorder: A systematic review of the evidence. Expert Review of Neurotherapeutics, 20(1), 85–93. https://doi.org/10.1080/14737175.2020.1671824
Zhu, J., & Chen, Y. (2021). Developmental pathways from parental rejection to adolescent internet gaming disorder: A parallel process latent growth model. Children and Youth Services Review, 128, 106128.
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Roh, H.J., Kim, Ej., Lee, K.Y. et al. Elucidating the Impact of Socioeconomic Status on Adolescent Internet Gaming Disorder Using the Family Affluence Scale. Int J Ment Health Addiction (2024). https://doi.org/10.1007/s11469-024-01240-0
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DOI: https://doi.org/10.1007/s11469-024-01240-0