BEHAVIORAL AND PSYCHOSOCIAL MECHANISMS LINKING DIGITAL TECHNOLOGY USE AND MENTAL HEALTH ACROSS ADOLESCENTS AND YOUNG ADULTS: A NARRATIVE REVIEW

Authors

DOI:

https://doi.org/10.31435/ijitss.2(50).2026.5524

Keywords:

Digital Technologies, Mental Health, Social Media, Adolescents, Young Adults, Behavioral Determinants, Digital Health

Abstract

Digital technologies have become an integral part of daily life, particularly among adolescents and young adults. The widespread use of smartphones, social media platforms, and digital communication tools has significantly transformed social interactions, access to information, and lifestyle patterns (Odgers & Jensen, 2020; Twenge et al., 2018). However, increasing evidence suggests that excessive or maladaptive use of digital technologies may have both beneficial and adverse effects on mental health (Keles et al., 2020; Orben & Przybylski, 2019).

This narrative review aims not only to synthesize current evidence but also to identify key behavioral and psychosocial mechanisms, clinical risk factors, and potential intervention strategies associated with digital technology use and mental health outcomes. A literature search was conducted using PubMed and Google Scholar, focusing on studies published between 2010 and 2024. The findings indicate that digital technologies may contribute to increased levels of anxiety, depression, and stress, particularly in relation to excessive social media use, cyberbullying, and disrupted sleep patterns (Scott et al., 2019; Woods & Scott, 2016).

At the same time, digital tools offer important opportunities, including improved access to mental health resources, enhanced social support, and the development of digital therapeutic interventions (Firth et al., 2017; Naslund et al., 2016). Importantly, this review emphasizes that the impact of digital technologies is mediated by underlying behavioral and psychosocial mechanisms, rather than being determined solely by exposure or screen time.

From a public health perspective, understanding these mechanisms is essential for developing effective prevention strategies and promoting responsible, balanced use of digital technologies. The inclusion of both adolescent and young adult populations reflects the overlap in digital behaviors and psychosocial processes across these developmental stages, allowing for a more comprehensive understanding of risk and protective factors.

References

Andersson, G., & Titov, N. (2014). Advantages and limitations of Internet-based interventions for common mental disorders. World Psychiatry, 13(1), 4–11. https://doi.org/10.1002/wps.20083

Appel, H., Gerlach, A. L., & Crusius, J. (2016). The interplay between Facebook use, social comparison, envy, and depression. Current Opinion in Psychology, 9, 44–49. https://doi.org/10.1016/j.copsyc.2015.10.006

Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616

Burrow, A. L., & Rainone, N. (2017). How many likes did I get? Purpose moderates links between positive social media feedback and self-esteem. Journal of Experimental Social Psychology, 69, 232–236. https://doi.org/10.1016/j.jesp.2016.09.005

Chen, Q., & Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Computers in Human Behavior, 54, 34–42. https://doi.org/10.1016/j.chb.2015.07.047

Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013). Smartphones for mental health: A systematic review. Journal of Medical Internet Research, 15(11), e247. https://doi.org/10.2196/jmir.2470

Elhai, J. D., Yang, H., Fang, J., Bai, X., & Hall, B. J. (2020). Depression and anxiety symptoms are related to problematic smartphone use severity in Chinese young adults: Fear of missing out as a mediator. Addictive Behaviors, 101, 105962. https://doi.org/10.1016/j.addbeh.2019.04.020

Ferrari, R. (2015). Writing narrative style literature reviews. Medical Writing, 24(4), 230–235. https://doi.org/10.1179/2047480615Z.000000000329

Firth, J., Torous, J., Nicholas, J., Carney, R., Rosenbaum, S., & Sarris, J. (2017). The efficacy of smartphone-based mental health interventions for depressive symptoms: A meta-analysis of randomized controlled trials. World Psychiatry, 16(3), 287–298. https://doi.org/10.1002/wps.20472

Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information & Libraries Journal, 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x

Green, B. N., Johnson, C. D., & Adams, A. (2006). Writing narrative literature reviews for peer-reviewed journals: Secrets of the trade. Journal of Chiropractic Medicine, 5(3), 101–117. https://doi.org/10.1016/S0899-3467(07)60142-6

Hamm, M. P., Newton, A. S., Chisholm, A., Shulhan, J., Milne, A., Sundar, P., Ennis, H., Scott, S. D., & Hartling, L. (2015). Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies. JAMA Pediatrics, 169(8), 770–777. https://doi.org/10.1001/jamapediatrics.2015.0944

Hoare, E., Milton, K., Foster, C., & Allender, S. (2016). The associations between sedentary behaviour and mental health among adolescents: A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 13, 108. https://doi.org/10.1186/s12966-016-0432-4

John, A., Glendenning, A. C., Marchant, A., Montgomery, P., Stewart, A., Wood, S., Lloyd, K., & Hawton, K. (2018). Self-harm, suicidal behaviours, and cyberbullying in children and young people: Systematic review. Journal of Medical Internet Research, 20(4), e129. https://doi.org/10.2196/jmir.9044

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. https://doi.org/10.1080/02673843.2019.1590851

Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137. https://doi.org/10.1037/a0035618

Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41. https://doi.org/10.1016/j.ypmed.2016.11.016

Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016). Association between social media use and depression among U.S. young adults. Depression and Anxiety, 33(4), 323–331. https://doi.org/10.1002/da.22466

Naslund, J. A., Grande, S. W., Aschbrenner, K. A., & Elwyn, G. (2014). Naturally occurring peer support through social media: The experiences of individuals with severe mental illness using YouTube. PLOS ONE, 9(10), e110171. https://doi.org/10.1371/journal.pone.0110171

Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016). The future of mental health care: Peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25(2), 113–122. https://doi.org/10.1017/S2045796015001067

Nowland, R., Necka, E. A., & Cacioppo, J. T. (2018). Loneliness and social internet use: Pathways to reconnection in a digital world? Perspectives on Psychological Science, 13(1), 70–87. https://doi.org/10.1177/1745691617713052

Odgers, C. L., & Jensen, M. R. (2020). Annual research review: Adolescent mental health in the digital age: Facts, fears, and future directions. Journal of Child Psychology and Psychiatry, 61(3), 336–348. https://doi.org/10.1111/jcpp.13190

Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3, 173–182. https://doi.org/10.1038/s41562-018-0506-1

Primack, B. A., Shensa, A., Sidani, J. E., Whaite, E. O., Lin, L. Y., Rosen, D., Colditz, J. B., Radovic, A., & Miller, E. (2017). Social media use and perceived social isolation among young adults in the U.S. American Journal of Preventive Medicine, 53(1), 1–8. https://doi.org/10.1016/j.amepre.2017.01.010

Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014

Scott, H., Biello, S. M., & Woods, H. C. (2019). Social media use and adolescent sleep patterns: Cross-sectional findings from the UK millennium cohort study. BMJ Open, 9(9), e031161. https://doi.org/10.1136/bmjopen-2019-031161

Shakya, H. B., & Christakis, N. A. (2017). Association of Facebook use with compromised well-being: A longitudinal study. American Journal of Epidemiology, 185(3), 203–211. https://doi.org/10.1093/aje/kww189

Slonje, R., Smith, P. K., & Frisén, A. (2013). The nature of cyberbullying, and strategies for prevention. Computers in Human Behavior, 29(1), 26–32. https://doi.org/10.1016/j.chb.2012.05.024

Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7(3), 321–326. https://doi.org/10.1089/1094931041291295

Teychenne, M., Ball, K., & Salmon, J. (2010). Sedentary behavior and depression among adults: A review. International Journal of Behavioral Medicine, 17(4), 246–254. https://doi.org/10.1007/s12529-010-9075-z

Torous, J., Myrick, K. J., Rauseo-Ricupero, N., & Firth, J. (2020). Digital mental health and COVID-19: Using technology today to accelerate the curve on access and quality tomorrow. JMIR Mental Health, 7(3), e18848. https://doi.org/10.2196/18848

Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17. https://doi.org/10.1177/2167702617723376

Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 207, 163–166. https://doi.org/10.1016/j.jad.2016.08.040

Verduyn, P., Ybarra, O., Résibois, M., Jonides, J., & Kross, E. (2017). Do social network sites enhance or undermine subjective well‐being? A critical review. Social Issues and Policy Review, 11(1), 274–302. https://doi.org/10.1111/sipr.12033

Vogel, E. A., Rose, J. P., Roberts, L. R., & Eckles, K. (2014). Social comparison, social media, and self-esteem. Psychology of Popular Media Culture, 3(4), 206–222. https://doi.org/10.1037/ppm0000047

Woods, H. C., & Scott, H. (2016). Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41–49. https://doi.org/10.1016/j.adolescence.2016.05.008

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Published

2026-06-30

How to Cite

Jaskot, D., Kamrowska, M., Świech, J., Apanasewicz, K., Kopacki, F., Szczeblewska, W., Marzec, J., Kita, N., Sztenc, N., & Broniszewska, P. (2026). BEHAVIORAL AND PSYCHOSOCIAL MECHANISMS LINKING DIGITAL TECHNOLOGY USE AND MENTAL HEALTH ACROSS ADOLESCENTS AND YOUNG ADULTS: A NARRATIVE REVIEW. International Journal of Innovative Technologies in Social Science, 4(2(50). https://doi.org/10.31435/ijitss.2(50).2026.5524

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