Analysis of Dominant Factors Affecting the Mental Health of Social Media Users

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Published Jan 26, 2026
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Vol. 10 No. 1 (2026): January Edition

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Johannes Bastira Ginting
University Prima Indonesia
Tri Suci
Universitas Prima Indonesia

Abstract

Sleep quality matters most for mental health among social media users—more than screen time, stress, or any demographic factor. We analyzed data from 477 social media users to identify which behavioral and psychosocial factors best predict mental well-being, as measured by a happiness index. Three factors showed significant associations: daily screen time, sleep quality, and stress levels. Respondents who spent more time on screens, slept poorly, and experienced high stress reported worse mental health. But sleep quality dominated. People with good sleep were 5.6 times more likely to report healthy mental wellbeing than those sleeping poorly (OR = 5.559; 95% CI: 2.841-10.878; p < 0.001), even after accounting for screen time and stress. Surprisingly, age, gender, physical activity, and platform choice showed no relationship with mental health. These findings challenge the assumption that simply reducing social media use improves wellbeing. Instead, public health interventions should prioritize sleep hygiene alongside, not instead of, managing screen time and stress. In our increasingly digital world, how we rest may matter more than how much we scroll

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How to Cite
Ginting, J. B., & Suci, T. (2026). Analysis of Dominant Factors Affecting the Mental Health of Social Media Users. Jurnal Kesmas Prima Indonesia, 10(1), 88–103. Retrieved from https://jurnal.unprimdn.ac.id/index.php/JKPI/article/view/7953

References

  1. Agyapong-opoku, N., Agyapong-opoku, F., & Greenshaw, A. J. (2025). Effects of Social Media Use on Youth and Adolescent Mental Health : A Scoping Review of Reviews. Behavioral Sciences, 1–22.
  2. Bremner, J. D., Moazzami, K., Wittbrodt, M. T., Nye, J. A., Lima, B. B., Gillespie, C. F., Rapaport, M. H., Pearce, B. D., Shah, A. J., & Vaccarino, V. (2020). Diet, Stress and Mental Health. Nutrients, 12.
  3. Dagani, J., Buizza, C., Cela, H., Sbravati, G., Rainieri, G., & Ghilardi, A. (2024). The Interplay of Sleep Quality , Mental Health , and Sociodemographic and Clinical Factors among Italian College Freshmen. Journal of Clinical Immunology, 13.
  4. Hassan, H., Hsbollah, H. M., & Mohamad, R. (2022). ScienceDirect ScienceDirect Examining of social Examining the the interlink interlink of social media media use , use , purchase purchase behavior , behavior , and and mental health health mental. Procedia Computer Science, 196(2021), 85–92. https://doi.org/10.1016/j.procs.2021.11.076
  5. Kirkbride, J. B., Anglin, D. M., Colman, I., Dykxhoorn, J., Jones, P. B., Patalay, P., Pitman, A., Soneson, E., Steare, T., Wright, T., & Griffiths, S. L. (2024). The social determinants of mental health and disorder : evidence , prevention and recommendations. World Psychiatry, February, 58–90. https://doi.org/10.1002/wps.21160
  6. Lo, C. K. M., Chan, E. W. W., Wing, Y., Ling, K., Ip, P., & Ho, F. K. (2025). Computers in Human Behavior Reports Association between screen time and health-related quality of life : Testing the displacement and relational hypotheses in a prospective cohort study. Computers in Human Behavior Reports, 19(June), 100720. https://doi.org/10.1016/j.chbr.2025.100720
  7. Mezzina, R., Gopikumar, V., Jenkins, J., & Saraceno, B. (2022). Social Vulnerability and Mental Health Inequalities in the “ Syndemic ”: Call for Action. Frontiers in Psychiatry, 13(May). https://doi.org/10.3389/fpsyt.2022.894370
  8. Nakshine, V. S., Thute, P., Khatib, M. N., & Sarkar, B. (2022). Increased Screen Time as a Cause of Declining Physical , Psychological Health , and Sleep Patterns : A Literary Review. Cureus, 14(10), 1–9. https://doi.org/10.7759/cureus.30051
  9. Pieh, C., Humer, E., Hoenigl, A., Schwab, J., Mayerhofer, D., & Dale, R. (2025). Smartphone screen time reduction improves mental health : a randomized controlled trial. BMC Medicine. https://doi.org/10.1186/s12916-025-03944-z
  10. Pilar, M., Jost, E., Walsh-bailey, C., Powell, B. J., Mazzucca, S., Eyler, A., Purtle, J., Allen, P., & Brownson, R. C. (2022). Quantitative measures used in empirical evaluations of mental health policy implementation : A systematic review. Implementation Research and Practice. https://doi.org/10.1177/26334895221141116
  11. Prince7489. (2023). Mental health and social media balance dataset [Data set]. Kaggle. https://www.kaggle.com/datasets/prince7489/mental-health-and-social-media-balance-dataset
  12. Rehman, S., Gulzar, R., & Aslam, W. (2022). Developing the Integrated Marketing Communication ( IMC ) through Social Media ( SM ): The Modern Marketing Communication Approach. SAGE Open. https://doi.org/10.1177/21582440221099936
  13. Rutter, L. A., Thompson, H. M., Howard, J., Riley, T. N., De, R., Lorenzo-luaces, L., & Rutter, L. A. (2021). Social Media Use , Physical Activity , and Internalizing Symptoms in Adolescence : Cross-sectional Analysis Corresponding Author : JMIR Mental Health, 8(9), 1–14. https://doi.org/10.2196/26134
  14. Shen, H., & Wall, G. (2021). Social media , space and leisure in small cities. Asia Pacific Journal of Tourism Research ISSN:, 1665. https://doi.org/10.1080/10941665.2020.1859057
  15. State, B. (2025). Sleep , Neuroendocrine Disorders , And the Bidirectional Relationship between the Hypothalamic-Pituitary-Adrenal Axis : A Mini-Review. J.Appl.Sci.Environ.Manage.
  16. Wang, W., Jiang, J., Qi, L., Zhao, F., & Wu, J. (2023). Relationship between mental health , sleep status and screen time among university 19 pandemic : students during the COVID- ­ sectional study a cross- ­. BMJ Open, 13. https://doi.org/10.1136/bmjopen-2023-073347
  17. Yang, C., Hunhoff, P., Lee, Y., Abrell, J., & Hall, W. (2025). Social Media Activities With Different Content Characteristics and Adolescent Mental Health : Cross-Sectional Survey Study Corresponding Author : Jornal of Medical Internet Research, 27. https://doi.org/10.2196/73098