Abstract
With the increase in technology use by youth in recent decades, there is a need to examine how the overuse of technology influences youth mental health and wellbeing. The purpose of this study was to examine the association between problem technology use and psychological distress in a representative sample of adolescents residing in Ontario, Canada. Self-reported data were obtained from a cross-sectional sample of 4846 students in grades 9 to 12 (mean age, 15.9 ± 1.3 years) who participated in the 2019 Ontario Student Drug Use and Health Survey. Problem technology use was measured using the 6-item Short Problem Internet Use Test, and psychological distress was assessed using the Kessler 6-item Psychological Distress Scale. Logistic regression models were adjusted for age, ethnoracial background, subjective socioeconomic status, tobacco cigarette smoking, alcohol consumption, and cannabis use. We found that 35.8% of students used technology for more than 5 hours per day, and 18.7% of students were identified as having symptoms in line with moderate-to-serious problem technology use, although symptoms were more common in females than males (22.5% vs. 14.9%, respectively). Moderate-to-serious problem technology use was associated with serious psychological distress among both males (OR = 4.57, 95% CI = 3.27–6.38) and females (OR = 2.89, 95% CI = 2.23–3.75) in adjusted models. Findings from this study show that problem technology use is strongly associated with psychological distress in adolescents, with stronger associations in males than females. Appropriate intervention strategies are needed to mitigate the adverse effects of technology use among secondary school students.
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Data Availability
The data presented in this article are not readily available because of the Centre for Addiction and Mental Health’s and the Ontario Public and Catholic School Board’s institutional Research Ethics Board agreements. Requests to access the data should be directed to the Centre for Addiction and Mental Health at hayley.hamilton@camh.ca.
References
Beeres, D. T., Andersson, F., Vossen, H. G. M., & Galanti, M. R. (2021). Social media and mental health among early adolescents in Sweden: A longitudinal study with 2-year follow-up (KUPOL study). Journal of Adolescent Health, 68(5), 953–960. https://doi.org/10.1016/j.jadohealth.2020.07.042
Bhatt, A., Hilliard, J., & Parisi, T. (n.d.). Social media addiction. Accessible at https://www.addictioncenter.com/drugs/social-media-addiction/
Boak, A., Elton-Marshall, T., Mann, R. E., Henderson, J. L., & Hamilton, H. A. (2020). The mental health and well-being of Ontario students, 1991–2019: Detailed findings from the Ontario Student Drug Use and Health Survey (OSDUHS). Toronto, ON: Centre for Addiction and Mental Health.
Canadian Paediatric Society. (2017). Digital health task force, Ottawa, Ontario. Screen time and young children: Promoting health and development in a digital world. Paediatrics & Child Health, 22(8), 461–468. https://doi.org/10.1093/pch/pxx123
Carter, B., Rees, P., Hale, L., Bhattacharjee, D., & Paradkar, M. S. (2016). Association between portable screen-based media device access or use and sleep outcomes. JAMA Pediatrics, 170(12), 1202. https://doi.org/10.1001/jamapediatrics.2016.2341
Centre for Addiction and Mental Health. (2023). The Ontario Student Drug Use and Health Survey (OSDUHS). https://www.camh.ca/en/science-and-research/institutes-and-centres/institute-for-mental-health-policy-research/ontario-student-drug-use-and-health-survey---osduhs
Chang, A. M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2015). Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proceedings of the National Academy of Sciences, 112(4), 1232–1237. https://doi.org/10.1073/pnas.1418490112
Dienlin, T., & Johannes, N. (2020). The impact of digital technology use on adolescent well-being. Dialogues in Clinical Neuroscience, 22(2), 135–142. https://doi.org/10.31887/DCNS.2020.22.2/tdienlin
Flannery, J. S., Burnell, K., Kwon, S. J., Jorgensen, N. A., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2024). Developmental changes in brain function linked with addiction-like social media use two years later. Social Cognitive and Affective Neuroscience, 19(1), nsae008. https://doi.org/10.1093/scan/nsae008
George, M. J., Russell, M. A., Piontak, J. R., & Odgers, C. L. (2018). Concurrent and subsequent associations between daily digital technology use and high-risk adolescents’ mental health symptoms. Child Develop, 89, 78–88. https://doi.org/10.1111/cdev.12819
Goodman, E., Adler, N. E., Kawachi, I., Frazier, A. L., Huang, B., & Colditz, G. A. (2001). Adolescents’ perceptions of social status: Development and evaluation of a new indicator. Pediatrics, 108(2), E31. https://doi.org/10.1542/peds.108.2.e31
Goodman, E., Huang, B., Schafer-Kalkhoff, T., & Adler, N. E. (2007). Perceived socioeconomic status: A new type of identity that influences adolescents’ self-rated health. Journal of Adolescent Health, 41(5), 479–487.
Jensen, M., George, M. J., Russell, M. R., & Odgers, C. L. (2019). Young adolescents’ digital technology use and mental health symptoms: Little evidence of longitudinal or daily linkages. Clinical Psychological Science: A Journal of the Association for Psychological Science, 7(6), 1416–1433. https://doi.org/10.1177/2167702619859336
Kardefelt-Winther, D., Rees, G., & Livingstone, S. (2020). Contextualising the link between adolescents’ use of digital technology and their mental health: A multi-country study of time spent online and life satisfaction. Journal of Child Psychology and Psychiatry, 61(8), 875–889. https://doi.org/10.1111/jcpp.13280
Kessler, R. C., Andrews, G., Colpe, I. J., Hiripi, E., Mroczek, D. K., Normand, Sl. T., et al. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976. https://doi.org/10.1017/S0033291702006074
Kessler, R. C., Green, J. G., Gruber, M. J., Sampson, N. A., Bromet, E., Cuitan, M., et al. (2010). Screening for serious mental illness in the general population with the K6 screening scale: Results from The Who World Mental Health (WMH) survey initiative. International Journal of Methods in Psychiatric Research, 19(S1), 4–22. https://doi.org/10.1002/mpr.310
Kushlev, K., Hunter, J. F., Proulx, J., Pressman, S. D., & Dunn, E. (2019). Smartphones reduce smiles between strangers. Computers in Human Behavior, 91, 12–16. https://doi.org/10.1016/j.chb.2018.09.023
Larson, L. R., Szczytko, R., Bowers, E. P., Stephens, L. E., Stevenson, K. T., & Floyd, M. F. (2019). Outdoor time, screen time, and connection to nature: Troubling trends among rural youth? Environment and Behavior, 51(8), 966–991. https://doi.org/10.1177/0013916518806686
Lopes, L. S., Valentini, J. P., Monteiro, T. H., Costacurta, M. C. F., Soares, L. O. N., Telfar-Barnard, L., & Nunes, P. V. (2022). Problematic social media use and its relationship with depression or anxiety: A systematic review. Cyberpsychology, Behavior and Social Networking, 25(11), 691–702. https://doi.org/10.1089/cyber.2021.0300
Mundy, L. K., Canterford, L., Moreno-Betancur, M., Hoq, M., Sawyer, S. M., Allen, N. B., & Patton, G. C. (2021). Social networking and symptoms of depression and anxiety in early adolescence. Depression and Anxiety, 38(5), 563–570. https://doi.org/10.1002/da.23117
O’Keeffe, G. S., & Clarke-Pearson, K. (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127(4), 800–804. https://doi.org/10.1542/peds.2011-0054
Owens, J., Au, R., Carskadon, M., Millman, R., Wolfson, A., Braverman, P. K., et al. (2014). Insufficient sleep in adolescents and young adults: An update on causes and consequences. Pediatrics, 134(3), e921–e932. https://doi.org/10.1542/peds.2014-1696
Przybylski, A. K. (2014). Electronic gaming and psychosocial adjustment. Pediatrics, 134(3), e716–e722. https://doi.org/10.1542/peds.2013-4021
Raudsepp, L., & Kais, K. (2019). Longitudinal associations between problematic social media use and depressive symptoms in adolescent girls. Preventive Medicine Reports, 15, 100925. https://doi.org/10.1016/j.pmedr.2019.100925
Siciliano, V., Bastiani, L., Mezzasalma, L., Thanki, D., Curzio, O., & Molinaro, S. (2015). Validation of a new short problematic internet use test in a nationally representative sample of adolescents. Computers in Human Behavior, 45, 177–184. https://doi.org/10.1016/j.chb.2014.11.097
Svensson, R., Johnson, B., & Olsson, A. (2022). Does gender matter? The association between different digital media activities and adolescent well-being. BMC Public Health, 22(1), 273. https://doi.org/10.1186/s12889-022-12670-7
Tremblay, M. S., Carson, V., Chaput, J. P., Connor Gorber, S., Dinh, T., Duggan, M., et al. (2016). Canadian 24-hour movement guidelines for children and youth: An integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition, and Metabolism, 41(6 (Suppl. 3)), S311–S327. https://doi.org/10.1139/apnm-2016-0151
Twenge, J. M. (2019). More time on technology, less happiness? Associations between digital-media use and psychological well-being. Current Directions in Psychological Science, 28(4), 372–379. https://doi.org/10.1177/0963721419838244
Twenge, J. M., Krizan, Z., & Hisler, G. (2017). Decreases in self-reported sleep duration among U.S. adolescents 2009–2015 and association with new media screen time. Sleep Medicine, 39, 47–53. https://doi.org/10.1016/j.sleep.2017.08.013
Twenge, J. M., Spitzberg, B. H., & Campbell, W. K. (2019). Less in-person social interaction with peers among U.S. adolescents in the 21st century and links to loneliness. Journal of Social and Personal Relationships, 36(6), 1892–1913. https://doi.org/10.1177/0265407519836170
Vuorre, M., Orben, A., & Przybylski, A. K. (2021). There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clinical Psychological Science: A Journal of the Association for Psychological Science, 9(5), 823–835. https://doi.org/10.1177/2167702621994549
Acknowledgements
JPC is supported by the CHEO Research Institute.
Funding
The Ontario Student Drug Use and Health Survey, a Centre for Addiction and Mental Health initiative, was funded in part through ongoing support from the Ontario Ministry of Health and Long-Term Care, as well as targeted funding from several provincial agencies.
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LM, HSK, HAH and JPC conceptualized the study; HSK analyzed the data; LM and JPC drafted the manuscript; LM, HSK, HAH, and JPC interpreted the data; and HSH, HAH, and JPC revised the manuscript critically for important intellectual content. All of the authors approved the final version submitted for publication.
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The studies involving human participants were reviewed and approved by Research Ethics Boards of the Centre for Addiction and Mental Health and York University, as well as 34 school board research review committees.
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Margetson, L., Sampasa-Kanyinga, H., Hamilton, H.A. et al. Problem Technology Use and Psychological Distress Among Adolescents in Ontario, Canada. J. technol. behav. sci. (2024). https://doi.org/10.1007/s41347-024-00425-7
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DOI: https://doi.org/10.1007/s41347-024-00425-7