Perceptions of young adults’ problematic technology use among Australian youth professionals


The effects of excessive and problematic technology use on young people’s mental health has not been explored from the perspective of those who work closely with youth in a professional capacity. This study reports on findings from focus group interviews with 22 professionals in the fields of education, counselling and mental health, community and housing, social work, and drug and alcohol services. Most problems participants observed related to video gaming (predominantly amongst men) and social media use (predominantly amongst women). Participants perceived most harms to be related to social or psychological difficulties such as relationship breakdowns, isolation, low self-confidence, depressive symptoms, and unrealistic expectations of success. More tangible harms relating to homelessness, physical fighting resulting from online exclusion, and sleep disturbances leading to absence from school and work commitments were also reported, albeit less frequently. The relationship between technology use and poor psychosocial outcomes was conceptualised as being complex and often cyclic in nature, whereby disadvantage and family dynamics were often predictive of problems. Most services did not formally screen for technology-related problems, however many were interested in upskilling by way of training, awareness, and implementation of screening measures and formal referral procedures. This research suggests that young people are presenting with technology-related problems but that more needs to be done to provide youth services and organisations with adequate support to identify and assist with these issues.

Bibliographic citation

Keen, B., & Gainsbury, S. (2021). Perceptions of young adults’ problematic technology use among Australian youth professionals. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 15(1), Article 8. doi:


Video gaming; social media; online; technology-related problems; mental health; youth; young adults

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American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5™ (5th ed.). American Psychiatric Publishing.

Australian Bureau of Statistics. (2018). Household use of information technology, Australia, 2016-17 (Report No. 8146.0).

Baggio, S., Starcevic, V., Studer, J., Simon, O., Gainsbury, S. M., Gmel, G., & Billieux, J. (2018). Technology-mediated addictive behaviors constitute a spectrum of related yet distinct conditions: A network perspective. Psychology of Addictive Behaviors, 32(5), 564–572.

Boers, E., Afzali, M. H., Newton, N., & Conrod, P. (2019). Association of screen time and depression in adolescence. JAMA Pediatrics, 173(9), 853–859.

Booker, J. (2019, September 24). Why casinos are being forced to make skill-based slots. Best U.S. Casinos.

Botvin, G. J., & Griffin, K. W. (2004). Life skills training: Empirical findings and future directions. Journal of Primary Prevention, 25(2), 211–232.

Bowman, N. (2017). Banning smartphones for kids is just another technology-fearing moral panic. The Conversation.

Brand, J. E., Todhunter, S., & Jervis, J. (2017). Digital Australia 2018. Interactive Games & Entertainment Association.

Brand, M., Laier, C., & Young, K. S. (2014). Internet addiction: Coping styles, expectancies, and treatment implications. Frontiers in Psychology, 5, Article 1256.

Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464–471.

Busch, P. A., & McCarthy, S. (2021). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114, Article 106414.

Dong, G., & Potenza, M. N. (2014). A cognitive-behavioral model of Internet gaming disorder: Theoretical underpinnings and clinical implications. Journal of Psychiatric Research, 58, 7–11.

Echazu, L., & Nocetti, D. (2019). Understanding risky behaviors during adolescence: A model of self-discovery through experimentation. International Review of Law and Economics, 57, 12–21.

Fam, J. Y. (2018). Prevalence of Internet gaming disorder in adolescents: A meta-analysis across three decades. Scandinavian Journal of Psychology, 59(5), 524–531.

Gainsbury, S. M., King, D. L., Russell, A. M. T., & Delfabbro, P. (2016). Who pays to play freemium games? The profiles and motivations of players who make purchases within social casino games. Journal of Behavioral Addictions, 5(2), 221–230.

Gambling Commission. (2019). Gambling participation in 2018: Behaviour, awareness and attitudes.

Goldzweig, C. L., Towfigh, A., Maglione, M., & Shekelle, P. G. (2009). Costs and benefits of health information technology: New trends from the literature. Health Affairs, 28(Suppl. 2), w282–w293.

González-Bueso, V., Santamaría, J. J., Fernández, D., Merino, L., Montero, E., Jiménez-Murcia, S., del Pino-Gutiérrez, A., & Ribas, J. (2018). Internet gaming disorder in adolescents: Personality, psychopathology and evaluation of a psychological intervention combined with parent psychoeducation. Frontiers in Psychology, 9, Article 787.

Grant, J. E., Potenza, M. N., Weinstein, A., & Gorelick, D. A. (2010). Introduction to behavioral addictions. The American Journal of Drug and Alcohol Abuse, 36(5), 233–241.

Hing, N., Nuske, E., Gainsbury, S. M., Russell, A. M. T., & Breen, H. (2016). How does the stigma of problem gambling influence help-seeking, treatment and recovery? A view from the counselling sector. International Gambling Studies, 16(2), 263–280.

Ipsos MORI. (2011). Underage gambling in England and Wales: A research study among 11-16 year olds on behalf of the National Lottery Commission. National Lottery Commission.

Johnson, N. F. (2015). Arguing the need for qualitative exploration in the field of emerging digital pathologies. Studia Psychologica, 15(2), 123–137.

Kardefelt-Winther, D. (2014a). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354.

Kardefelt-Winther, D. (2014b). The moderating role of psychosocial well-being on the relationship between escapism and excessive online gaming. Computers in Human Behavior, 38, 68–74.

Keen, B. (2019). Using misconceptions to improve engagement and preventative effects within gambling education [Doctoral thesis, The University of Sydney]. Sydney Digital Theses.

Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79–93.

Kessler, R. C., Amminger, G. P., Aguilar‐Gaxiola, S., Alonso, J., Lee, S., & Üstün, T. B. (2007). Age of onset of mental disorders: A review of recent literature. Current Opinion in Psychiatry, 20(4), 359–364.

King, D. L., & Delfabbro, P. H. (2014). The cognitive psychology of Internet gaming disorder. Clinical Psychology Review, 34(4), 298–308.

King, D. L., & Delfabbro, P. H. (2019). Internet gaming disorder: Theory, assessment, treatment, and prevention. Academic Press.

King, D. L., Delfabbro, P. H., & Griffiths, M. D. (2012). Clinical interventions for technology-based problems: Excessive Internet and video game use. Journal of Cognitive Psychotherapy, 26(1), 43–56.

King, D. L., Delfabbro, P. H., Kaptsis, D., & Zwaans, T. (2014). Adolescent simulated gambling via digital and social media: An emerging problem. Computers in Human Behavior, 31, 305–313.

King, D. L., Delfabbro, P. H., Zwaans, T., & Kaptsis, D. (2013). Clinical features and axis I comorbidity of Australian adolescent pathological Internet and video game users. Australian & New Zealand Journal of Psychiatry, 47(11), 1058–1067.

Király, O., Sleczka, P., Pontes, H. M., Urbán, R., Griffiths, M. D., & Demetrovics, Z. (2017). Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria. Addictive Behaviors, 64, 253–260.

Koo, H. J., & Kwon, J.-H. (2014). Risk and protective factors of Internet addiction: A meta-analysis of empirical studies in Korea. Yonsei Medical Journal, 55(6), 1691–1711.

Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2002). Internet paradox revisited. Journal of Social Issues, 58(1), 49–74.

Kremer, P., Elshaug, C., Leslie, E., Toumbourou, J. W., Patton, G. C., & Williams, J. (2014). Physical activity, leisure-time screen use and depression among children and young adolescents. Journal of Science and Medicine in Sport, 17(2), 183–187.

Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction—A review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528–3552.

Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 4026–4052.

Laier, C., Wegmann, E., & Brand, M. (2018). Personality and cognition in gamers: Avoidance expectancies mediate the relationship between maladaptive personality traits and symptoms of Internet-gaming disorder. Frontiers in Psychiatry, 9, Article 304.

Latinsky, A., & Ueno, K. (2021). Leveling up? Video game play in adolescence and the transition into adulthood. The Sociological Quarterly, 62(1), 36–59.

Loh, A. H. Y., Ooi, Y. P., Lim, C. G., Fung, S. S. D., & Khoo, A. (2016). Managing adolescents with gaming problems: The Singapore counsellors’ perspective. International Journal of Psychology and Behavioral Sciences, 6(1), 7–13.

Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction, 106(3), 490–498.

Luna-Adame, M., Carrasco-Giménez, T. J., & Rueda-García, M. M. (2013). Evaluation of the effectiveness of a smoking prevention program based on the ‘Life Skills Training’ approach. Health Education Research, 28(4), 673–682.

Lupu, I. R., & Lupu, V. (2013). Gambling prevention program for teenagers. Journal of Cognitive and Behavioral Psychotherapies, 13(2a), 575–584.

MacMullin, J. A., Lunsky, Y., & Weiss, J. A. (2016). Plugged in: Electronics use in youth and young adults with autism spectrum disorder. Autism, 20(1), 45–54.

Maras, D., Flament, M. F., Murray, M., Buchholz, A., Henderson, K. A., Obeid, N., & Goldfield, G. S. (2015). Screen time is associated with depression and anxiety in Canadian youth. Preventive Medicine, 73, 133–138.

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.

Mazurek, M. O., & Wenstrup, C. (2013). Television, video game and social media use among children with ASD and typically developing siblings. Journal of Autism and Developmental Disorders, 43(6), 1258–1271.

McNicol, M. L., & Thorsteinsson, E. B. (2017). Internet addiction, psychological distress, and coping responses among adolescents and adults. Cyberpsychology, Behavior and Social Networking, 20(5), 296–304.

Mentzoni, R. A., Brunborg, G. S., Molde, H., Myrseth, H., Skouverøe, K. J. M., Hetland, J., & Pallesen, S. (2011). Problematic video game use: Estimated prevalence and associations with mental and physical health. Cyberpsychology, Behavior and Social Networking, 14(10), 591–596.

Mitchell, M. E., Lebow, J. R., Uribe, R., Grathouse, H., & Shoger, W. (2011). Internet use, happiness, social support and introversion: A more fine grained analysis of person variables and internet activity. Computers in Human Behavior, 27(5), 1857–1861.

Nowak, D. E., & Aloe, A. M. (2014). The prevalence of pathological gambling among college students: A meta-analytic synthesis, 2005–2013. Journal of Gambling Studies, 30(4), 819–843.

Pascoe, M., Bailey, A. P., Craike, M., Carter, T., Patten, R., Stepto, N., & Parker, A. (2020). Physical activity and exercise in youth mental health promotion: A scoping review. BMJ Open Sport & Exercise Medicine, 6(1), Article e000677.

Petry, N. M., Zajac, K., & Ginley, M. K. (2018). Behavioral addictions as mental disorders: To be or not to be? Annual Review of Clinical Psychology, 14, 399–423.

Pittman, M., & Reich, B. (2016). Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words. Computers in Human Behavior, 62, 155–167.

Pontes, H. M. (2017). Investigating the differential effects of social networking site addiction and Internet gaming disorder on psychological health. Journal of Behavioral Addictions, 6(4), 601–610.

Pontes, H. M., & Griffiths, M. D. (2017). The development and psychometric evaluation of the Internet Disorder Scale (IDS-15). Addictive Behaviors, 64, 261–268.

Rehbein, F., Kliem, S., Baier, D., Mößle, T., & Petry, N. M. (2015). Prevalence of internet gaming disorder in German adolescents: Diagnostic contribution of the nine DSM-5 criteria in a state-wide representative sample. Addiction, 110(5), 842–851.

Schreier, M. (2014). Qualitative content analysis. In U. Flick (Ed.), The SAGE Handbook of Qualitative Data Analysis (pp. 170–183). SAGE Publications, Inc.

Servidio, R., Gentile, A., & Boca, S. (2018). The mediational role of coping strategies in the relationship between self-esteem and risk of Internet addiction. Europe’s Journal of Psychology, 14(1), 176–187.

Shapira, N. A., Lessig, M. C., Goldsmith, T. D., Szabo, S. T., Lazoritz, M., Gold, M. S., & Stein, D. J. (2003). Problematic internet use: Proposed classification and diagnostic criteria. Depression and Anxiety, 17(4), 207–216.

Shek, D. T. L., Zhu, X., & Ma, C. M. S. (2018). The influence of parental control and parent-child relational qualities on adolescent internet addiction: A 3-year longitudinal study in Hong Kong. Frontiers in Psychology, 9, Article 642.

Siomos, K., Floros, G., Fisoun, V., Evaggelia, D., Farkonas, N., Sergentani, E., Lamprou, M., & Geroukalis, D. (2012). Evolution of Internet addiction in Greek adolescent students over a two-year period: The impact of parental bonding. European Child & Adolescent Psychiatry, 21(4), 211–219.

Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: A systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry, 19, Article 356.

Throuvala, M. A., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2019). School-based prevention for adolescent Internet addiction: Prevention is the key. A systematic literature review. Current Neuropharmacology, 17(6), 507–525.

Todirita, I. R., & Lupu, V. (2013). Gambling prevention program among children. Journal of Gambling Studies, 29(1), 161–169.

Torres-Rodríguez, A., Griffiths, M. D., & Carbonell, X. (2018). The treatment of Internet gaming disorder: A brief overview of the PIPATIC program. International Journal of Mental Health and Addiction, 16(4), 1000–1015.

Twigg, L., Duncan, C., & Weich, S. (2020). Is social media use associated with children’s well-being? Results from the UK Household Longitudinal Study. Journal of Adolescence, 80, 73–83.

Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. CyberPsychology & Behavior, 9(5), 584–590.

Venkatesh, V., Sykes, T. A., Chan, F. K. Y., Thong, J. Y. L., & Hu, P. J.-H. (2019). Children’s Internet addiction, family-to-work conflict, and job outcomes: A study of parent-child dyads. MIS Quarterly, 43(3), 903–927.

Vernon, L. (2016). The role of problematic technology use for adolescents: The importance of sleep for wellbeing [Doctoral thesis, Murdoch University]. Murdoch University Research Repository.

Viera, A. J., & Garrett, J. M. (2005). Understanding interobserver agreement: The kappa statistic. Family Medicine, 37(5), 360–363.

Wartberg, L., Kriston, L., Zieglmeier, M., Lincoln, T., & Kammerl, R. (2019). A longitudinal study on psychosocial causes and consequences of Internet gaming disorder in adolescence. Psychological Medicine, 49(2), 287–294.

Weinstein, N., Przybylski, A. K., & Murayama, K. (2017). A prospective study of the motivational and health dynamics of Internet Gaming Disorder. PeerJ, 5, Article e3838.

Wichstrøm, L., Stenseng, F., Belsky, J., von Soest, T., & Hygen, B. W. (2019). Symptoms of Internet gaming disorder in youth: Predictors and comorbidity. Journal of Abnormal Child Psychology, 47(1), 71–83.

World Health Organization. (2019a). 6C51 Gaming disorder. In International statistical classification of diseases and related health problems (11th ed.).

World Health Organization. (2019b). Guidelines on physical activity, sedentary behaviour, and sleep for children under 5 years of age.

Zenios, M., & Ioannou, E. (2018). Digital natives and digital immigrants revisited: A case of CALL. In P. Zaphiris & A. Ioannou (Eds.), Learning and collaboration technologies: Learning and teaching (pp. 99–110). Springer International Publishing.