Virtual space and social media studies

Virtual space and social media studies

The Impact of Social Media Addiction on Students’ Academic Engagement: The Role of Mental Health

Document Type : Original Article

Authors
mohammad reza khodabakhsh 1
Alireza Hoor 2
1 Assistant Professor, Department of Psychology, Ne.C., Islamic Azad University, Neyshabur, Iran(Corresponding Author).
2 Master’s student in Psychology, Hekmat Razavi institute of Higher Education, Mashhad, Iran.
10.22083/cssms.2025.551323.1078
Abstract
Introduction: In the digital age, social media platforms such as Instagram, WhatsApp, and TikTok have become integral to the daily lives of university students, offering avenues for communication, entertainment, and information exchange. While these platforms provide numerous benefits, their excessive and often compulsive use has raised serious concerns regarding students’ mental health and academic functioning. Social media addiction (SMA)-defined by uncontrollable and excessive engagement with digital platforms-has been linked to psychological disturbances including depression, anxiety, and low self-esteem. These mental health challenges may, in turn, impair students’ academic engagement, a multidimensional construct encompassing cognitive, emotional, and behavioral involvement in learning activities. Academic engagement is widely recognized as a key predictor of academic success, persistence, and psychological well-being. Students who are actively engaged in their studies tend to demonstrate greater motivation, concentration, and resilience. However, emerging evidence suggests that SMA disrupts these patterns, leading to reduced study time, increased procrastination, and diminished academic focus. The present study investigates the direct and indirect effects of SMA on academic engagement, with particular emphasis on the mediating roles of depression, anxiety, and self-esteem. By elucidating the psychological mechanisms underlying this relationship, the study aims to inform targeted interventions that enhance both academic performance and mental health among university students.
Methods: This applied research utilized a descriptive-correlational design to examine the relationships among SMA, mental health variables, and academic engagement. The statistical population comprised undergraduate students enrolled at the Islamic Azad University, Central Tehran Branch, during the 2024-2025 academic year. A sample of 150 students was selected through simple random sampling to ensure representativeness. Data were collected using five standardized self-report instruments: the Bergen Social Media Addiction Scale (BSMAS) to assess the severity of SMA; the Beck Depression Inventory-II (BDI-II) and Beck Anxiety Inventory (BAI) to measure symptoms of depression and anxiety, respectively; Rosenberg’s Self-Esteem Scale (RSES) to evaluate global self-worth; and the Academic Engagement Scale (AES) to assess students’ involvement in academic activities. All instruments demonstrated acceptable reliability and validity in prior Iranian and international studies. Data analysis was conducted using SPSS software. Pearson’s correlation coefficient was employed to examine bivariate relationships among the variables. Hierarchical regression analysis was used to test the mediating effects of depression, anxiety, and self-esteem in the relationship between SMA and academic engagement. The analysis followed Baron and Kenny’s mediation framework, allowing for the identification of both direct and indirect pathways.
Results: The results revealed a significant negative correlation between SMA and academic engagement (r = -0.47, p < 0.01), indicating that higher levels of addiction were associated with lower levels of academic involvement. SMA was positively correlated with depression (r = 0.52, p < 0.01) and anxiety (r = 0.49, p < 0.01), and negatively correlated with self-esteem (r = -0.44, p < 0.01). These findings suggest that excessive social media use is linked to increased psychological distress and diminished self-worth. Hierarchical regression analyses demonstrated that depression, anxiety, and self-esteem each served as partial mediators in the relationship between SMA and academic engagement. Among these, depression emerged as the strongest mediator, accounting for a substantial proportion of the variance in academic engagement. Specifically, when depression was entered into the regression model, the direct effect of SMA on academic engagement was significantly reduced, indicating a robust indirect pathway. Anxiety and self-esteem also contributed to the mediation effect, albeit to a lesser extent.
Discussion: The findings of this study underscore the detrimental impact of SMA on students’ academic engagement, both directly and through its influence on mental health variables. The mediating role of depression suggests that excessive social media use may lead to emotional exhaustion, hopelessness, and reduced motivation, all of which undermine students’ ability to engage meaningfully with academic tasks. Similarly, heightened anxiety may impair concentration and increase avoidance behaviors, while low self-esteem may erode students’ confidence in their academic abilities and reduce their willingness to participate in learning activities. These results are consistent with previous research indicating that SMA is associated with psychological distress and academic underperformance. For instance, Landa-Blanco et al. (2024) found that SMA indirectly reduced academic engagement through increased depression and reduced self-esteem. Oztekin (2024) similarly highlighted the mediating role of psychological distress in the relationship between internet addiction and academic disengagement. The present study extends these findings by demonstrating the simultaneous mediating effects of multiple mental health variables within an Iranian university context. In conclusion, this study provides compelling evidence that SMA adversely affects academic engagement through its impact on depression, anxiety, and self-esteem. By identifying these mediating mechanisms, the research offers a nuanced understanding of how digital behaviors intersect with psychological functioning and academic performance. These insights can inform the design of holistic interventions that support students’ mental health and academic success in an increasingly digital world.
Keywords
social media addiction
depression
anxiety
academic engagement
students
Subjects
Ahmed, O., Walsh, E. I., Dawel, A., Alateeq, K., Espinoza, O. D., & Cherbuin, N. (2024). Social media use, mental health and sleep: A systematic review with meta-analyses. Journal of Affective Disorders, 367, 701-712. https://doi.org/10.1016/j.jad.2024.05.030
Akbari, T., Toosi, D., Javidpour, M., & Kazem. (2024). The effect of social media addiction on students’ academic well-being: The mediating role of loneliness. [Persian Journal]. Retrieved from Civilica: https://civilica.com [In Persian] 
Ahmadi, Zh., & Zeinali. (2023). The impact of social media addiction on students’ academic achievement: The mediating role of sleep quality, academic procrastination, and academic stress. [Persian Journal]. Retrieved from MagIran: https://magiran.com [In Persian] 
Alimoradi, Z., Lotfi, A., Lin, C.-Y., Griffiths, M. D., & Pakpour, A. H. (2022). Estimation of behavioral addiction prevalence during COVID-19 pandemic: A systematic review and meta-analysis. Current Addiction Reports, 9(4), 486-517. https://doi.org/10.1007/s40429-022-00435-6
Amerstorfer, C. M., & Freiin von Münster-Kistner, C. (2021). Student perceptions of academic engagement and student-teacher relationships in problem-based learning. Frontiers in Psychology, 12, 713057. https://doi.org/10.3389/fpsyg.2021.713057
Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287-293. https://doi.org/10.1016/j.addbeh.2016.03.006
Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252-262. https://doi.org/10.1037/adb0000160
Asmundson, G. J. G., Taylor, S., Bovell, C. V., & Collimore, K. (2006). Strategies for managing symptoms of anxiety. Expert Review of Neurotherapeutics, 6(2), 213-222. https://doi.org/10.1586/14737175.6.2.213
Brailovskaia, J., Velten, J., & Margraf, J. (2019). Relationship between daily stress, depression symptoms, and Facebook addiction disorder in Germany and in the United States. Cyberpsychology, Behavior, and Social Networking, 22(9), 610-614. https://doi.org/10.1089/cyber.2019.0165
Carmona-Halty, M. A., Schaufeli, W. B., & Salanova, M. (2019). The Utrecht Work Engagement Scale for Students (UWES-9S): Factorial validity, reliability, and measurement invariance in a Chilean sample of undergraduate university students. Frontiers in Psychology, 10, 1017. https://doi.org/10.3389/fpsyg.2019.01017
Chan, T. T. W., Lam, A. H. C., & Chiu, D. K. W. (2020). From Facebook to Instagram: Exploring user engagement in an academic library. Journal of Academic Librarianship, 46(6), 102229. https://doi.org/10.1016/j.acalib.2020.102229
Cheng, C., Lau, Y., Chan, L., & Luk, J. W. (2021). Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values. Addictive Behaviors, 117, 106845. https://doi.org/10.1016/j.addbeh.2021.106845
He, Q., Turel, O., & Bechara, A. (2017). Brain anatomy alterations associated with social networking site (SNS) addiction. Scientific Reports, 7(1), 45064. https://doi.org/10.1038/srep45064
Hawi, N. S., & Samaha, M. (2016). The relations among social media addiction, self-esteem, and life satisfaction in university students. Social Science Computer Review, 35(5), 576-586. https://doi.org/10.1177/0894439316660340
Hussain, Z., Wegmann, E., Yang, H., & Montag, C. (2020). Social networks use disorder and associations with depression and anxiety symptoms: A systematic review of recent research in China. Frontiers in Psychology, 11, 211. https://doi.org/10.3389/fpsyg.2020.00211
Kelly, Y., Zilanawala, A., Booker, C., & Sacker, A. (2018). Social media use and adolescent mental health: Findings from the UK millennium cohort study. eClinicalMedicine, 6, 59-68. https://doi.org/10.1016/j.eclinm.2018.12.005
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
Kolhar, M., Kazi, R. N. A., & Alameen, A. (2021). Effect of social media use on learning, social interactions, and sleep duration among university students. Saudi Journal of Biological Sciences, 28(4), 2216-2222. https://doi.org/10.1016/j.sjbs.2021.01.010
Kroenke, K., & Spitzer, R. L. (2002). The PHQ-9: A new depression diagnostic and severity measure. Psychiatric Annals, 32(9), 509-515. https://doi.org/10.3928/0048-5713-20020901-06
Kuss, D. J., & Griffiths, M. D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311. https://doi.org/10.3390/ijerph14030311
Li, Y., Yao, C., Zeng, S., Wang, X., Lu, T., Li, C., … You, X. (2019). How social networking site addiction drives university students’ academic achievement: The mediating role of learning engagement. Journal of Pacific Rim Psychology, 13, e19. https://doi.org/10.1017/prp.2019.12
Malak, M. Z., Shuhaiber, A. H., Al-amer, R. M., Abuadas, M. H., & Aburoomi, R. J. (2022). Correlation between psychological factors, academic performance and social media addiction: Model-based testing. Behaviour & Information Technology, 41(8), 1583-1595. https://doi.org/10.1080/0144929X.2021.1891460
Mahdinezhad-Gorji, G., & Alizadeh. (2022). The relationship between alexithymia, academic procrastination, and self-esteem with mobile-based social media addiction among female high school students. [Persian Journal]. Retrieved from Civilica: https://civilica.com[In Persian] 
Marengo, D., Fabris, M. A., Longobardi, C., & Settanni, M. (2022). Smartphone and social media use contributed to individual tendencies towards social media addiction in Italian adolescents during the COVID-19 pandemic. Addictive Behaviors, 126, 107204. https://doi.org/10.1016/j.addbeh.2021.107204
Ng, H. T. H., Zhang, C.-Q., Phipps, D., Zhang, R., & Hamilton, K. (2022). Effects of anxiety and sleep on academic engagement among university students. Australian Psychologist, 57(1), 57-64. https://doi.org/10.1080/00050067.2021.1965854
Najafzadegan, Y., & Mahmoudi. (2023). The relationship between internet addiction, social anxiety, and depression among undergraduate psychology students. [Persian Journal]. Retrieved from SID: https://sid.ir [In Persian]
Ostic, D., Qalati, S. A., Barbosa, B., Shah, S. M. M., Galvan Vela, E., Herzallah, A. M., & Liu, F. (2021). Effects of social media use on psychological well-being: A mediated model. Frontiers in Psychology, 12, 678766. https://doi.org/10.3389/fpsyg.2021.678766
Pekpazar, A., Kaya Aydın, G., Aydın, U., Beyhan, H., & Arı, E. (2021). Role of Instagram addiction on academic performance among Turkish university students: Mediating effect of procrastination. Computers and Education Open, 2, 100049. https://doi.org/10.1016/j.caeo.2021.100049
Rojas-Barahona, C. A., Zegers, B., & Forster, C. E. (2009). La escala de autoestima de Rosenberg: Validación para Chile. Revista Médica de Chile, 137(6), 791-800. https://doi.org/10.4067/S0034-98872009000600009
Ramroodi, N., & Sargazi. (2024). The impact of social media on youth mental health. [Persian Journal]. Retrieved from SID: https://sid.ir [In Persian] 
Spitzer, R. L., & Kroenke, K. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092-1097. https://doi.org/10.1001/archinte.166.10.1092
Schaufeli, W., & Bakker, A. (2004). UWES-Utrecht Work Engagement Scale: Preliminary manual. https://www.wilmarschaufeli.nl/publications/Schaufeli/Test%20Manuals/Test_manual_UWES_English.pdf 
Zheng, Y. Zhao, Y., Zheng, Z., Pan, C., & Zhou, L. (2021). Self-esteem and academic engagement among adolescents: A moderated mediation model. Frontiers in Psychology, 12, 690828. https://doi.org/10.3389/fpsyg.2021.690828
Zhong, Q., Gelaye, B., Fann, J. R., Sanchez, S. E., & Williams, M. A. (2014). Cross-cultural validity of the Spanish version of PHQ-9 among pregnant Peruvian women: A Rasch analysis. Journal of Affective Disorders, 158, 148-153. https://doi.org/10.1016/j.jad.2014.02.012

  • Receive Date 05 October 2025
  • Revise Date 23 November 2025
  • Accept Date 07 December 2025
  • First Publish Date 28 December 2025
  • Publish Date 21 April 2026