Main Article Content
Abstract
The increasing integration of digital technologies into adolescent life has reshaped cognitive and social behavior, often leading to heightened anxiety, reduced attention spans, and excessive screen dependence. Filipino youth face unique challenges due to high digital engagement rates and cultural factors emphasizing constant connectivity. This quasi-experimental study investigated the cognitive effects of a two-week digital detox intervention among Grade 12 Senior High School students in a private university in the City of Manila. Using standardized assessments, pretest-posttest comparisons were conducted across three domains: attention, memory, and problem-solving capacity. Findings revealed statistically significant improvements in attention (t(79) = 2.03, p = 0.046, d = 0.23) and memory (t(79) = 3.16, p = 0.002, d = 0.36), though problem-solving showed no significant post-detox gains (t(79) = 1.78, p = 0.079). These results suggest that brief digital detox periods enhance self-regulatory processes such as focus and cognitive planning, particularly in high-usage individuals. Pearson correlation indicated a moderate positive association between pre-detox digital use intensity and post-intervention attentional improvements (r = 0.32, p = 0.004), indicating increased intervention responsiveness among digital-heavy users. However, the lack of significant correlations in memory and problem-solving domains suggests a need for longer, more structured interventions to yield measurable improvements in executive functioning. The study demonstrates the potential of structured digital detox routines as a viable cognitive wellness tool in high school settings. Future research should explore extended program durations and integrate psychosocial supports to maximize benefits and ensure sustained academic and social functioning improvements.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Balita, C. (2024). Philippines: share of internet users by age group. Statista. https://www.statista.com/statistics/998362/share-internet-users-philippines-age-group/
Cardoso-Leite, P., Buchard, A., Tissieres, I., Mussack, D., & Bavelier, D. (2021). Media use, attention, mental health, and academic performance among 8 to 12-year-old children. PLoS ONE, 16(11), e0259163. https://doi.org/10.1371/journal.pone.0259163
Cimprich, B., Visovatti, M., & Ronis, D. L. (2011). The Attentional Function Index—a self‐report cognitive measure. Psycho-Oncology, 20(2), 194–202. https://doi.org/10.1002/pon.1729
Coyne, P., & Woodruff, S. J. (2023). Taking a Break: The Effects of Partaking in a Two-Week Social Media Digital Detox on Problematic Smartphone and Social Media Use, and Other Health-Related Outcomes among Young Adults. Behavioral Sciences, 13(12), 1004. https://doi.org/10.3390/bs13121004
Deshbhratar, S. (2017). Examining the effects of a digital detox on reclaiming focus and well-being in a hyper-connected world is crucial for modern mental health. Journal of Population Therapeutics & Clinical Pharmacology, 24(2), 7230. https://doi.org/10.53555/jptcp.v24i2.7230
Draženović, M., Vukušić Rukavina, T., & Machala Poplašen, L. (2023). Impact of Social Media Use on Mental Health within Adolescent and Student Populations during COVID-19 Pandemic: Review. International Journal of Environmental Research and Public Health, 20(4), 3392. https://doi.org/10.3390/ijerph20043392
Dworkin, J. (2021). Teens online and social media use. University of Minnesota Extension. https://extension.umn.edu/parenting-and-caregiving/teens-online-and-social-media-use
Heppner, P. P., & Petersen, C. H. (1982). The development and implications of a personal problem-solving inventory. Journal of Counseling Psychology, 29(1), 66–75. https://doi.org/10.1037/0022-0167.29.1.66
Kindred, R., & Bates, G. (2023). The Influence of the COVID-19 Pandemic on Social Anxiety: A Systematic Review. International Journal of Environmental Research and Public Health, 20(3), 2362. https://doi.org/10.3390/ijerph20032362
Korte, M. (2020). The digital revolution's impact on human brain and behavior: where do we stand? Dialogues in Clinical Neuroscience, 22(2), 101–111. https://doi.org/10.31887/dcns.2020.22.2/mkorte
Kumar, N. (2024, September 21). Smartphone addiction statistics for 2024. DemandSage. https://www.demandsage.com/smartphone-addiction-statistics/
Labana, R. V., Hadjisaid, J. L., Imperial, A. R., Jumawid, K. E., Lupague, M. J. M., & Malicdem, D. C. (2020). Online Game Addiction and the Level of Depression Among Adolescents in Manila, Philippines. Central Asian Journal of Global Health, 9(1), e369. https://doi.org/10.5195/cajgh.2020.369
Marciano, L., Ostroumova, M., Schulz, P. J., & Camerini, A. L. (2022). Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis. Frontiers in Public Health, 9, 793868. https://doi.org/10.3389/fpubh.2021.793868
Moller, R. (2024, April 21). Smartphone addiction statistics exposed. Above and Beyond Therapy. https://www.abtaba.com/blog/cell-phone-smartphone-addiction-statistics
Muppalla, S. K., Vuppalapati, S., Reddy Pulliahgaru, A., & Sreenivasulu, H. (2023). Effects of Excessive Screen Time on Child Development: An Updated Review and Strategies for Management. Cureus, 15(8), e40608. https://doi.org/10.7759/cureus.40608
Pandya, A., & Lodha, P. (2021). Social Connectedness, Excessive Screen Time During COVID-19 and Mental Health: A Review of Current Evidence. Frontiers in Human Dynamics, 3, 684137. https://doi.org/10.3389/fhumd.2021.684137
Revankar, S. (2024, October 3). Smartphone usage statistics by users, usage, penetration, activities, addiction and future predictions. TechnoTrenz. https://technotrenz.com/stats/smartphone-usage-statistics/
Sehic, E. (2024). Digital Detox – self-regulating digital user behavior. TU Wein. https://repositum.tuwien.at/bitstream/20.500.12708/195527/1/Sehic%20Ernad%20-%202024%20-%20Digital%20Detox%20-%20Self-regulating%20their%20digital%20usage.pdf
Shanmugasundaram, M., & Tamilarasu, A. (2023). The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review. Frontiers in Cognition, 2, 1203077. https://doi.org/10.3389/fcogn.2023.1203077
Smith, G., Della Sala, S., Logie, R. H., & Maylor, E. A. (2000). Prospective and Retrospective Memory in Normal Aging and Dementia: A Questionnaire Study. Memory, 8(5), 311-321. https://doi.org/10.1080/09658210050117735
UNC Chapel Hill. (2023, January 3). Study shows habitual checking of social media may impact young adolescents' brain development. The University of North Carolina at Chapel Hill. https://www.unc.edu/posts/2023/01/03/study-shows-habitual-checking-of-social-media-may-impact-young-adolescents-brain-development/
University of the Philippines Population Institute. (2022, October 10). Pinoy youth in worse mental shape today, nationwide survey indicates. UP Population Institute. https://www.uppi.upd.edu.ph/news/2022/pinoy-youth-in-worse-mental-health-shape-today
Wacks, Y., & Weinstein, A. M. (2021). Excessive Smartphone Use Is Associated With Health Problems in Adolescents and Young Adults. Frontiers in Psychiatry, 12, 669042. https://doi.org/10.3389/fpsyt.2021.669042
Wang, C. H., Salisbury-Glennon, J. D., Dai, Y., Lee, S., & Dong, J. (2022). Empowering College Students to Decrease Digital Distraction Through Self-Regulated Learning Strategies. Contemporary Educational Technology, 14(4), ep388. https://doi.org/10.30935/cedtech/12456
Youth Statistics. (2023). Youth Statistics: Internet and Social Media - ACT for Youth. Actforyouth.net. https://actforyouth.net/adolescence/demographics/internet.cfm