Abstract
In light of rising concerns over the psychological and academic consequences of excessive digital engagement among College of Education students, this study investigates the complex interplay between social media use, screen time, mental health, and academic outcomes. This study investigated the complex interplay between social media use, screen time, depression, mental health, assessment integrity, and internal assessment scores among tertiary students in Ghana using a cross-sectional correlational design. A total of 970 students from public Colleges of Education across Ghana were selected through stratified random sampling. Data were analyzed using Pearson correlations, multiple regression, and mediation/moderation models (Hayes PROCESS v4.0). Findings revealed that increased social media use and screen time were significantly associated with poorer mental health outcomes (R2 = 0.31, p < .001), with late-night screen usage (β = − 0.29, p < .001) and emotional investment in social media (β = − 0.30, p < .001) emerging as the strongest negative predictors of mental well-being. Depression significantly mediated the relationship between social media use and academic performance (indirect effect β = − 0.14, 95% CI [− 0.21, − 0.07], p < .001), accounting for 27% of the variance in depression and 23% in academic scores. The direct path from social media use to academic performance also remained significant (β = − 0.17, p < .001), while the total effect was stronger (β = − 0.31, p < .001), indicating partial mediation. Furthermore, depression significantly predicted increased assessment dishonesty (β = 0.29, p < .001), and this relationship was amplified among students with high non-academic screen time exposure. Correlation analysis showed significant negative associations between screen time and assessment scores (r = − .28 to − 0.32, p < .01), and between depression and academic integrity (r = .25 to 0.33, p < .01). The study concludes that digital behaviors, particularly excessive and emotionally driven screen use, detrimentally affect students’ mental health and ethical academic conduct. Psychological distress, especially depression, is statistically consistent with partial mediation, digital engagement to reduced academic performance and integrity. These findings highlight the need for institutional policies that promote balanced digital habits, mental health support, and integrity-centered assessment reforms in Ghanaian tertiary institutions.
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Data availability
The datasets generated and analyzed during this study focused on social media use, screen time, depression, mental health, assessment integrity, and academic performance among tertiary students in Ghana are available from the corresponding author, Simon Ntumi, upon reasonable request. To protect participant confidentiality, raw data will not be publicly shared. Data access will be subject to institutional ethical review procedures.
Abbreviations
- CoE:
-
College of education
- DSM-IV:
-
Diagnostic and statistical manual of mental disorders, fourth edition
- GHQ-12:
-
General health questionnaire—12 items
- LMS:
-
Learning management system
- MTUAS:
-
Media and technology usage and attitudes scale
- PHQ-9:
-
Patient health questionnaire—9 items
- SMEQ:
-
Social media engagement questionnaire
- SMU:
-
Social media use
- ST:
-
Screen time
- MH:
-
Mental health
- β:
-
Beta coefficient
- p:
-
p-value (statistical significance)
- CI:
-
Confidence interval
References
Afful, D., & Boateng, J. K. (2023). Mobile learning behaviour of university students in Ghana. Cogent Social Sciences, 9(1), 2204712.
Li, Y. et al. The role of Mind wandering and anxiety in the association between internet addiction and hyperactivity-impulsivity: a serial mediation model. BMC Psychol. 13 (1), 345 (2025).
Akar, E. Exploring the impact of social network structures on toxicity in online mental health communities. Comput. Hum. Behav. 165, 108542 (2025).
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.
Wu, J., Shao, Y., Zang, W., & Hu, J. (2025). Is physical exercise associated with reduced adolescent social anxiety mediated by psychological resilience?: evidence from a longitudinal multi-wave study in China. Child and Adolescent Psychiatry and Mental Health, 19(1), 17.
Rumjaun, A. & Narod, F. Social learning theory Albert bandura. In Science Education in Theory and Practice: an Introductory Guide To Learning Theory, 65–82 (Springer Nature Switzerland, 2025).
Jahanbakhshi, Z., Rezvani, N., Pourhasan, M., Ahmadi, S., & Ahmadi, S. J. (2025). Predicting Anxiety and Depression Based on Video Game Addiction with the Mediating Role of Social Support. Actas Españolas de Psiquiatría, 53(2), 267.
Nyamadi, M., & Turel, O. (2025). Mobile technology addiction effect on risky behaviours: The moderating role of use-regulation. Information Systems Frontiers, 27(4), 1603-1617.
Frison, E. & Eggermont, S. Exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Social Sci. Comput. Rev. 34 (2), 153–171. https://doi.org/10.1177/0894439314567449 (2016).
Yang, C., Huang, W., Hu, C., Zhang, W., Chen, B., Zhou, C., ... & Xu, B. (2025). Negative life events and problematic smartphone use among university students: the mediating role of self-efficacy and the moderating role of physical activity. Frontiers in Public Health, 13, 1704120.
Ninnoni, J. P. K., Commey, I. T., Harmah, E. B., & Amoadu, M. (2025). Mental health issues, coping mechanisms, and COVID-19 vaccine acceptance among chronically ill patients in tertiary health facilities in Central Region, Ghana. Discover Mental Health, 5(1), 119.
Bilali, A. et al. Association between TikTok use and anxiety, depression, and sleepiness among adolescents: A cross-sectional study in Greece. Pediatr. Rep. 17 (2), 34 (2025).
Liu, C., Gui, J., & Ma, Y. (2025). Interdisciplinary intervention to improve mental health and academic adaptation of adolescents with chronic diseases: integration of educational psychology and public health. Frontiers in Psychology, 16, 1732927.
Ntumi, S. Item response theory analysis of a work ethic scale: evidence from Multi-Industry samples in West Africa. Int. J. Sel. Assess. 33(4). (2025).
Atasever, A., Çelik, L., & Eroğlu, Y. (2022). Mediating effect of digital addiction on the relationship between academic motivation and life satisfaction in university students. Participatory Educational Research, 10(1), 17-41.
Owusu, D. K. (2024). The Impact of Social Media on the Lifestyle of University Students: A Study in Ghanaian Universities (Doctoral dissertation, Ashesi University).
Perlis, R. H. et al. Irritability and social media use in US adults. JAMA Netw. Open. 8 (1), e2452807–e2452807 (2025).
Preacher, K. J. & Hayes, A. F. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Methods. 40 (3), 879–891. https://doi.org/10.3758/BRM.40.3.879 (2008).
Jannat, T., Reza, M. N. H., Arefin, M. S., Uddin, M. A., Chuen Khee, E. P., & Pervez, N. (2026). Procrastination Trap: the Hidden Link between Stress, Anxiety, Amotivation and Academic Dishonesty. Journal of Academic Ethics, 24(1), 45.
Zewude, G. T., Natnael, T., Woreta, G. T., & Bezie, A. E. (2025). A multi-mediation analysis on the impact of social media and internet addiction on university and high school students’ mental health through social capital and mindfulness. International Journal of Environmental Research and Public Health, 22(1), 57.
Ntumi, S. et al. Assessing what matters: integrating social-emotional learning into classroom assessment for pupil well-being in Ghanaian basic schools. Sci. Rep. 15, 45127. https://doi.org/10.1038/s41598-025-33328-5 (2025).
Nguyen, T. N. D., Tran, H. Y., Nguyen, G. H. M., Nguyen, Y. K. & Dinh, H. T. M. Narcissism, social media addiction, self-esteem, and haxeco traits: exploring influences on life satisfaction among generation Z. Psychol. Res. Behav. Manag. 419–434 (2025).
Mahama, I., Edoh-Torgah, N. A., Miezah, D., Ammah, C., & Amponsah, M. O. (2024). The predictive relationship between curiosity and internet addiction among tertiary students in Ghana. Discover Psychology, 4(1), 114.
Ntumi, S., Upoalkpajor, J. L. N., & Nimo, D. G. (2025). Culturally responsive assessment of help-seeking behavior among university students: a mediation-moderation analysis of cultural norms, mental health stigma, and digital engagement across cross-cultural contexts. BMC psychology, 13(1), 922.
World Health Organization (WHO). Depression and other common mental disorders: Global health estimates. https://www.who.int/publications/i/item/9789241565257 (2021).
Dey, N. E. Y., Oti-Boadi, M., Malm, E., Selormey, R. K., & Ansah, K. O. (2022). Fear of COVID-19, perceived academic stress, future anxiety, and psychological distress of Ghanaian university students: a serial mediation examination. Journal of Psychology in Africa, 32(5), 423-430.
Haapala, E. A. et al. Childhood lifestyle behaviors and mental health symptoms in adolescence. JAMA Netw. Open. 8 (2), e2460012–e2460012 (2025).
Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A. & Rokkum, J. The media and technology usage and attitudes scale: an empirical investigation. Comput. Hum. Behav. 29 (6), 2501–2511. https://doi.org/10.1016/j.chb.2013.06.006 (2013).
Jaff, Y. D., & Ciftci, D. (2025). The effect of social media dependence on the perceived academic performance of university students in Cameroon: the role of psychological well-being and social anxiety. Frontiers in Psychology, 16, 1598724.
Twenge, J. M. & Campbell, W. K. Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Prev. Med. Rep. 12, 271–283. https://doi.org/10.1016/j.pmedr.2018.10.003 (2018).
Cerit, M. et al. Person-specific analyses of smartphone use and mental health: intensive longitudinal study. JMIR Formative Res., 9(1), e59875 (2025).
Bandura, A. & Walters, R. H. Social Learning Theory, vol. 1, 141–154 (Prentice Hall, 1977).
Fraenkel, J. R., & Wallen, N. E. (1990). How to design and evaluate research in education. Order Department, McGraw Hill Publishing Co., Princeton Rd., Hightstown, NJ 08520.
Pempek, T. A., Yermolayeva, Y. A. & Calvert, S. L. College students’ social networking experiences on Facebook. J. Appl. Dev. Psychol. 30 (3), 227–238. https://doi.org/10.1016/j.appdev.2008.12.010 (2009).
Amenah, M. A., Fenny, A., Akazili, J., Mirzoev, T., Agyepong, I. A., & Mason, T. (2025). Estimating the prevalence, socioeconomic determinants, and health seeking behavior of individuals with depression in Ghana. Scientific Reports, 15(1), 22239.
Dey, N. E. Y., Oti-Boadi, M., Malm, E., Selormey, R. K. & Ansah, K. O. Fear of COVID-19, perceived academic stress, future anxiety, and psychological distress of Ghanaian university students: a serial mediation examination. J. Psychol. Afr. 32 (5), 423–430 (2022).
Hökby, S., Westerlund, J., Alvarsson, J., Carli, V. & Hadlaczky, G. Longitudinal effects of screen time on depressive symptoms among Swedish adolescents: the moderating and mediating role of coping engagement behavior. Int. J. Environ. Res. Public Health. 20 (4), 3771 (2023).
Ibrahim, A. K., Kelly, S. J., Adams, C. E. & Glazebrook, C. A systematic review of studies of depression prevalence in university students. J. Psychiatr. Res. 47 (3), 391–400. https://doi.org/10.1016/j.jpsychires.2012.11.015 (2013).
Tang, S., Werner-Seidler, A., Torok, M., Mackinnon, A. J. & Christensen, H. The relationship between screen time and mental health in young people: A systematic review of longitudinal studies. Clin. Psychol. Rev. 86, 102021 (2021).
Ihm, J. & Lee, C. J. Toward more effective social media use and mental health awareness: the role of social media in peer communication and mental health. Health Commun. 34 (6), 552–560. https://doi.org/10.1080/10410236.2017.1405484 (2019).
Jain, L. et al. Exploring problematic TikTok use and mental health issues: A systematic review of empirical studies. J. Prim. Care Community Health. 16, 21501319251327303 (2025).
Brimble, M. & Stevenson-Clarke, P. Perceptions of the prevalence and seriousness of academic dishonesty in Australian universities. Aust. Educ. Res. 32 (3), 19–44. https://doi.org/10.1007/BF03216825 (2005).
Wiciak, M. T., Shazley, O. & Santhosh, D. An observational report of screen time use among young adults (ages 18–28 years) during the COVID-19 pandemic and correlations with mental health and wellness: international, online, cross-sectional study. JMIR Form. Res. 6(8), e38370 (2022).
Zewude, G. T., Natnael, T., Woreta, G. T. & Bezie, A. E. A multi-mediation analysis on the impact of social media and internet addiction on university and high school students’ mental health through social capital and mindfulness. Int. J. Environ. Res. Public Health. 22 (1), 57 (2025).
Rutter, E. C., Iacono, A., Shorey, C. L., Oremus, M., Maxwell, C. J., & Tyas, S. L. (2026). Functional social support subtypes as mediators of the association between depression and executive function: A moderated mediation analysis of the Canadian Longitudinal Study on Aging Comprehensive cohort. Archives of Gerontology and Geriatrics Plus, 100248.
Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (2018). Ego depletion: Is the active self a limited resource?. In Self-regulation and self-control (pp. 16-44). Routledge.
Keles, B., McCrae, N. & Grealish, A. A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents. Int. J. Adolesc. Youth. 25 (1), 79–93. https://doi.org/10.1080/02673843.2019.1590851 (2020).
Nunnally, J. C. & Bernstein, I. H. Psychometric Theory, 3rd edn (McGraw-Hill, 1994).
Ntumi, S. et al. Culturally responsive assessment in mathematical word problems and numerical cognition in multilingual education. Sci. Rep. 16, 5133. https://doi.org/10.1038/s41598-026-35864-0 (2026).
Ntumi, S., Bulala, T., Yeboah, A. & Agbovor, D. Measuring the immeasurable: designing and validating assessments of spiritual intelligence as a core component of SEL in Faith-Based school contexts in Ghana and Botswana. Psychol. Sch. 63 (1), 244–268 (2026).
Junco, R. The relationship between frequency of facebook use, participation in facebook activities, and student engagement. Comput. Educ. 58 (1), 162–171. https://doi.org/10.1016/j.compedu.2011.08.004 (2012).
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.
Li, S. H. et al. Cross‐sectional and longitudinal associations of screen time with adolescent depression and anxiety. Br. J. Clin. Psychol. 64 (4), 873–887. https://doi.org/10.1111/bjc.12547 (2025).
Lițan, D. E. Online captive: the impact of social media addiction on depression and anxiety a SEM approach to the mediating role of self-esteem and the moderating effects of age and professional status. Behav. Sci. 15 (4), 481 (2025).
Ntumi, S. From resilience to self-efficacy: Cross‐cultural mediation effects of emotion regulation and perceived social support in adolescents. PsyCh J. (2025).
Ophir, E., Nass, C. & Wagner, A. D. Cognitive control in media multitaskers. Proc. Natl. Acad. Sci. 106 (37), 15583–15587. https://doi.org/10.1073/pnas.0903620106 (2009).
Karim, N. A. H. A., Osman, M. A., Abdelmonaem, Y. M. M. & El-Ashry, A. M. Effects of porn addiction on mental health and personality of nursing students: a cross-sectional study in Egypt. BMC Nurs. 24 (1), 414 (2025).
Zhou, W., Xu, H., Zhang, L., & Lu, Y. (2026). Reconciling with the “Imperfect” Self on Social Media: The Moderating Effect of Physical Education Learning Engagement. Sage Open, 16(1), 21582440251414734.
Chang, P. (2025). Physical activity and depression of Chinese students in Korea: self-efficacy as a mediator and social support as a moderator. Frontiers in Psychology, 16, 1662687.
Lho, S. K. et al. Large Language models and text embeddings for detecting depression and suicide in patient narratives. JAMA Netw. Open. 8 (5), e2511922–e2511922 (2025).
Brimble, M. (2016). Why students cheat: An exploration of the motivators of student academic dishonesty in higher education. In Handbook of academic integrity (pp. 365-382). Springer, Singapore.
Eirich, R. et al. Association of screen time with internalizing and externalizing behavior problems in children 12 years or younger: a systematic review and meta-analysis. JAMA Psychiatry. 79 (5), 393–405 (2022).
Rust, M. The Effects of Smartphone Screen time on Behavioral Variability (Middle Tennessee State University, 2023).
Adebayo, D. F., Hashim, I. H. M., & Bono, S. A. (2025). Character strengths and adolescent flourishing in Nigeria: examining the mediating role of strengths use and moderating role of gender. International Journal of Adolescence and Youth, 30(1), 2502556.
Wang, Q., Zhang, J. & Xiao, M. Association between social media use, physical activity level, and depression and anxiety among college students: a cross-cultural comparative study. Sci. Rep. 15 (1), 6596 (2025).
Stallman, H. M. Psychological distress in university students: A comparison with general population data. Aust. Psychol. 45 (4), 249–257. https://doi.org/10.1080/00050067.2010.482109 (2010).
Kong, Y. et al. The effects of parent-child relationship, study stress, and mobile phone use on depressive symptoms among Chinese elementary school students: a moderated mediation model. Front. Psychiatry. 16, 1555120 (2025).
Kroenke, K., Spitzer, R. L. & Williams, J. B. W. The PHQ-9: validity of a brief depression severity measure. J. Gen. Intern. Med. 16 (9), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x (2001).
Song, S. W., Bakour, C., Rote, W. M., Scacco, J. M., Martin, J. D., & Rance, L. (2026). Anxious adolescents? Digital media use, perceived technological impairment, and internalising problems among 11-to 13-year-olds. Behaviour & Information Technology, 1-19.
Zhang, J., An, H., Li, Y., Du, X., & Yang, L. (2026). Relationship between physical exercise and quality of life in Chinese college students: the chain mediating effect of psychological flourishing and optimistic intelligence. BMC psychology, 14(1), 12.
Gómez-Restrepo, C. et al. Mental distress among youths in low-income urban areas in South America. JAMA Netw. Open. 8 (3), e250122–e250122 (2025).
Hayes, A. F. Introduction To mediation, moderation, and Conditional Process Analysis: A regression-based Approach (The Guilford Press, 2013).
Acknowledgements
The authors wish to express their sincere gratitude to all tertiary students who participated in this study. Appreciation is also extended to the research assistants, data analysts. Special thanks to the Department of Educational Foundations and the Department of Counselling Psychology at the University of Education, Winneba, for their ongoing institutional and academic support.
Funding
This study was fully self-funded by the authors. No external financial support, sponsorship, or grants were received, ensuring the independence and objectivity of the research process and its findings.
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S.N. conceptualized the study, led the methodological design, performed the data analysis, drafter the initial manuscript and served as the corresponding author. D.G.N. contributed to the literature review, assisted with data interpretation, and supported the drafting and revision of the manuscript. C.A. provided expertise on psychological dimensions, especially the constructs of mental health and depression, and helped refine the analysis framework. B.D. coordinated data collection in the northern zones and contributed to the preliminary statistical analysis. S.A. assisted with data entry, coding, and the review of digital behavior literature. H.D.D. contributed to the development of the research instruments and provided regional oversight for survey implementation. S.S. assisted with ethical clearance processes, conducted quality assurance checks on the data, and reviewed the final manuscript for coherence and consistency.
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This study was conducted in full compliance with the ethical standards outlined in the Declaration of Helsinki and adhered to international research guidelines. Ethical approval was obtained from the Institutional Review Board (IRB) of the University of Education, Winneba. Additional institutional permissions were secured where required. Prior to data collection, all participants received comprehensive information regarding the study’s purpose, procedures, potential risks and benefits, and their voluntary participation. Informed consent was obtained from all participants, with the assurance that they could withdraw at any time without penalty. Confidentiality and anonymity were strictly maintained. All data were encrypted and stored securely on password-protected devices.
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Not applicable. This study did not involve the collection or publication of any personally identifiable information, images, or multimedia content.
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Ntumi, S., Nimo, D.G., Ammah, C. et al. Mental health and depression as mediators between social media use screen time and academic integrity among tertiary students in Ghana. Sci Rep (2026). https://doi.org/10.1038/s41598-026-40285-0
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DOI: https://doi.org/10.1038/s41598-026-40285-0


