Digital Transformation and Younger Generational Mental Health Balancing Benefits and Challenges

Authors

  • Dini Widiasih Wachid Hasyim High School 2 Taman Ma'arif Education Foundation Sidoarjo, Indonesia, Indonesia Author
  • Hastini Ratna Dewi East Java Provincial Education Office, Malang, Indonesia Author

Keywords:

Transformation, Digital, Mental Health, Young Generation

Abstract

Digital transformation has changed the landscape of the lives of young generations, bringing significant benefits as well as challenges. The intensive use of digital technology can affect their mental health in a complex way. This research aims to understand in depth how young people balance the benefits and challenges of digital transformation with their mental health. This study uses a qualitative method to explore the subjective experiences of the younger generation. Data collection was conducted through in-depth interviews with population sampling techniques involving participants from various social and economic backgrounds, ensuring a broad representation of the experiences of young people, as well as prioritizing a variety of perspectives to gain a rich and comprehensive understanding. The results show that easy access to online information and support provides significant benefits in raising mental health awareness, but exposure to negative content and online social pressures can trigger stress and anxiety. Effective adaptation strategies include screen timing, participation in offline activities, and developing digital literacy skills. In conclusion, digital transformation offers a great opportunity to improve the mental health of the younger generation if managed wisely. The implications of this study emphasize the need for comprehensive digital literacy education programs and strong social support to help the younger generation navigate the digital age healthily.

Keywords: Transformation, Digital, Mental Health, Young Generation.

Downloads

Download data is not yet available.

References

Alderson, J. Charles & Wall, D. (1992). No Titleバイオフィードバックへの工学的アプローチ. Japanese Society of Biofeedback Research, 19, 709–715. https://doi.org/10.20595/jjbf.19.0_3

Bolinski, F., Kleiboer, A., Neijenhuijs, K., Karyotaki, E., Wiers, R., de Koning, L., Jacobi, C., Zarski, A. C., Weisel, K. K., Cuijpers, P., & Riper, H. (2022). Challenges in Recruiting University Students for Web-Based Indicated Prevention of Depression and Anxiety: Results From a Randomized Controlled Trial (ICare Prevent). Journal of Medical Internet Research, 24(12). https://doi.org/10.2196/40892

Carnegie, G. (2020). Research Methodology. In Pastoral Accounting in Colonial Australia. https://doi.org/10.4324/9781315052649-15

Choi, B., Kim, H., & Huh-Yoo, J. (2021). Seeking mental health support among college students in video-based social media: Content and statistical analysis of youtube videos. JMIR Formative Research, 5(11), 1–12. https://doi.org/10.2196/31944

Chowdhury, A. H., Rad, D., & Rahman, M. S. (2024). Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree-based machine learning models. Health Science Reports, 7(4). https://doi.org/10.1002/hsr2.2037

Ehsan, H., Ramakee, A. W., Barakati, T., Yosufi, A., Azimi, S., Aminpoor, H., Eshraqi, A. M., Kamal, F., Ghazanfari, F., Ibrahimkhil, M. A., Nikyar, M. E., & Karimi, A. S. (2024). The Impact of Social Media in Afghanistan: A Multi-Disciplinary Study. Journal of Multidisciplinary Healthcare, 17(July), 3121–3139. https://doi.org/10.2147/JMDH.S468845

Godfrey-Harris, M., & Shaw, S. C. K. (2023). The experiences of medical students with ADHD: A phenomenological study. PLoS ONE, 18(8 August), 1–18. https://doi.org/10.1371/journal.pone.0290513

Heck, E., Jaworska, N., DeSomma, E., Dhoopar, A. S., MacMaster, F. P., Dewey, D., & MacQueen, G. (2014). A survey of mental health services at post-secondary institutions in Alberta. Canadian Journal of Psychiatry, 59(5), 250–258. https://doi.org/10.1177/070674371405900504

Jaworska, N., De Somma, E., Fonseka, B., Heck, E., & MacQueen, G. M. (2016). Mental Health Services for Students at Postsecondary Institutions: A National Survey. Canadian Journal of Psychiatry, 61(12), 766–775. https://doi.org/10.1177/0706743716640752

Mianji, F., & Kirmayer, L. J. (2023). Help-seeking strategies and treatment experiences among individuals diagnosed with Bipolar Spectrum Disorder in Iran: A qualitative study. Transcultural Psychiatry, 60(2), 201–214. https://doi.org/10.1177/13634615221127855

Miller, C. J., Smith, S. N., & Pugatch, M. (2020). Experimental and quasi-experimental designs in implementation research. Psychiatry Research, 283(March 2019), 112452. https://doi.org/10.1016/j.psychres.2019.06.027

Muslihati, Hotifah, Y., Hidayat, W. N., Purwanta, E., Valdez, A. V., ‘ilmi, A. M., & Saputra, N. M. A. (2023). Predicting the mental health quality of adolescents with intensive exposure to metaverse and its counseling recommendations in a multicultural context. Cakrawala Pendidikan, 42(1), 38–52. https://doi.org/10.21831/cp.v42i1.54415

Neuman, W. L. (2014). Pearson New International Edition Social research methods: Qualitative and Quantitative approaches. In Pearson. https://www.amazon.co.uk/Social-Research-Methods-Quantitative/dp/0205786839/ref=sr_1_5?s=books&ie=UTF8&qid=1461496914&sr=1-5&keywords=social+research+methods+qualitative+and+quantitative+approaches

Nu Htay, M. N., Parial, L. L., Tolabing, M. C., Dadaczynski, K., Okan, O., Man Leung, A. Y., & Su, T. T. (2022). Digital health literacy, online information-seeking behaviour, and satisfaction of Covid-19 information among the university students of East and South-East Asia. PLoS ONE, 17(4 April), 1–17. https://doi.org/10.1371/journal.pone.0266276

Radovic, A., Li, Y., Landsittel, D., Odenthal, K. R., Stein, B. D., & Miller, E. (2022). A Social Media Website (Supporting Our Valued Adolescents) to Support Treatment Uptake for Adolescents With Depression or Anxiety: Pilot Randomized Controlled Trial. JMIR Mental Health, 9(10). https://doi.org/10.2196/35313

Sabrina, F., Chowdhury, M. T. H., Nath, S. K., Imon, A. A., Abdul Quader, S. M., Jahan, M. S., Noor, A. E., Podder, C. P., Gainju, U., Niroula, R., & Rahman, M. A. (2022). Psychological distress among bangladeshi dental students during the covid-19 pandemic. International Journal of Environmental Research and Public Health, 19(1), 1–24. https://doi.org/10.3390/ijerph19010176

Santoro, G., Costanzo, A., Franceschini, C., Lenzo, V., Musetti, A., & Schimmenti, A. (2024). Insecure Minds through the Looking Glass: The Mediating Role of Mentalization in the Relationships between Adult Attachment Styles and Problematic Social Media Use. International Journal of Environmental Research and Public Health, 21(3). https://doi.org/10.3390/ijerph21030255

Selvakumar, V., Venkata, T. P., Venkata, T. P., & Singh, S. (2023). Predicting primary and middle-school students’ preferences for online learning with machine learning. South African Journal of Childhood Education, 13(1), 1–6. https://doi.org/10.4102/sajce.v13i1.1324

Staccini, P., & Lau, A. Y. S. (2022). Consuming Health Information and Vulnerable Populations: Factors of Engagement and Ongoing Usage. Yearbook of Medical Informatics, 31(1), 173–180. https://doi.org/10.1055/s-0042-1742549

Twardowska-Staszek, E., Rostek, I., Biel, K., & Seredyńska, A. (2021). Predictors of positive and negative emotions experienced by poles during the second wave of the covid-19 pandemic. International Journal of Environmental Research and Public Health, 18(22). https://doi.org/10.3390/ijerph182211993

Wilson, C., & McDarby, V. (2023). Social Media and Mental Health. Clinical Child Psychology and Psychiatry, 28(1), 157–160. https://doi.org/10.1177/13591045221144926

Downloads

Published

2025-09-05

How to Cite

Digital Transformation and Younger Generational Mental Health Balancing Benefits and Challenges. (2025). International Journal of Multidisciplinary Research and Creative Innovation Ideas, 1(2), 41-53. https://journal.bizscript-studio.co.id/the-mir-journal/article/view/30