Screen Addiction and Mental Health Challenges among Ghanaian Basic School Children: A Management and Educational Policy Perspective
Authors
Department of Nursing and Health Sciences, Valley View University, Ghana (Ghana)
Centre for Academic Research and Engaged Scholarship, Valley View University, Ghana (Ghana)
Department of Teacher Education, Valley View University, Ghana (Ghana)
Article Information
DOI: 10.51244/IJRSI.2026.1315PH00114
Subject Category: Public Health
Volume/Issue: 13/15 | Page No: 2755-2767
Publication Timeline
Submitted: 2026-05-17
Accepted: 2026-05-22
Published: 2026-06-20
Abstract
The rapid proliferation of digital screens, smartphones, tablets, television sets, and computer devices has significantly altered the behavioural landscape of childhood globally. In Ghana, accelerating mobile internet penetration and the COVID-19-era normalization of screen-based learning have placed basic school children at heightened risk of screen addiction, with emerging evidence linking excessive screen exposure to a range of mental health challenges, including anxiety, depression, attention deficits, sleep disturbances, and social withdrawal. This narrative literature review synthesizes global and African evidence on screen addiction and its mental health consequences among children of basic school age (5–15 years), with specific attention to the Ghanaian educational and public health context, and examines prevailing management and educational policy frameworks. A narrative review methodology was employed. Literature was sourced from PubMed, Google Scholar, JSTOR, African Journals Online (AJOL), and grey literature including WHO, UNESCO, UNICEF, and Ghana Education Service policy documents. Studies published between 2010 and 2024 were included, with emphasis on sub-Saharan African and low-to-middle income country contexts. Evidence consistently links excessive screen time among children to anxiety, depression, attention-deficit/hyperactivity disorder (ADHD)-like symptoms, sleep disruption, reduced empathy, and poor academic performance. In Ghana, rudimentary screen governance in basic schools, inadequate mental health services, and limited parental digital literacy compound the problem. Existing policy frameworks, including the National Child and Adolescent Health Policy and the Ghana ICT4AD Policy, are largely silent on screen addiction and child digital mental health. Screen addiction among Ghanaian basic school children represents an emergent public health and educational governance challenge. An integrated, multi-stakeholder Digital Wellness and Child Mental Health Policy Framework is urgently needed, embedding digital literacy, screen-time governance, school-based mental health services, and parental engagement within Ghana's basic education management architecture.
Keywords
Screen addiction, digital media, mental health, basic school children, Ghana, educational policy, child health management, screen time
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References
1. American Academy of Pediatrics (AAP). (2016). Media and young minds. Pediatrics, 138(5), e20162591. https://doi.org/10.1542/peds.2016-2591 [Google Scholar] [Crossref]
2. American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). APA Publishing. [Google Scholar] [Crossref]
3. Anderson, C. A., Shibuya, A., Ihori, N., Swing, E. L., Bushman, B. J., Sakamoto, A., … Saleem, M. (2010). Violent video game effects on aggression, empathy, and prosocial behavior in Eastern and Western countries: A meta-analytic review. Psychological Bulletin, 136(2), 151–173. [Google Scholar] [Crossref]
4. Asante, K. O., & Agyemang, C. B. (2019). Screen time, sleep quality and academic performance among urban basic school children in Kumasi, Ghana. Ghana Journal of Health Sciences, 5(1), 34–47. [Google Scholar] [Crossref]
5. Asare, M., & Danquah, S. A. (2017). The African perspective on mental health and digital media: A review of trends and implications for practice in Ghana. African Journal of Psychiatry, 20(3), 101–112. [Google Scholar] [Crossref]
6. Bandura, A. (1977). Social learning theory. Prentice Hall. [Google Scholar] [Crossref]
7. Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 119–123. [Google Scholar] [Crossref]
8. Boateng, G. O., & Amankwah, D. (2022). Social media addiction and mental health among Ghanaian university students: A cross-sectional study. Ghana Medical Journal, 56(3), 180–190. [Google Scholar] [Crossref]
9. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press. [Google Scholar] [Crossref]
10. Cha, S. S., & Seo, B. K. (2018). Smartphone use and smartphone addiction in middle school students in Korea: Prevalence, social networking service, and game use. Health Psychology Open, 5(1), 1–15. [Google Scholar] [Crossref]
11. Cheng, C., & Li, A. Y. (2014). Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychology, Behavior, and Social Networking, 17(12), 755–760. [Google Scholar] [Crossref]
12. Cheng, S., Tseng, W., Chao, S., Yeh, W., & Lin, Y. (2020). Prolonged screen time in children and ADHD-like symptoms: A prospective cohort study. Developmental Medicine & Child Neurology, 62(4), 472–479. [Google Scholar] [Crossref]
13. Choo, H., Sim, T., Liau, A. K. F., Gentile, D. A., & Khoo, A. (2015). Pathological video-gaming among Singaporean youth. Annals of the Academy of Medicine, Singapore, 44(3), 105–112. [Google Scholar] [Crossref]
14. Christakis, D. A. (2009). The effects of infant media usage: What do we know and what should we learn? Acta Paediatrica, 98(1), 8–16. [Google Scholar] [Crossref]
15. Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. [Google Scholar] [Crossref]
16. Ghana Education Service (GES). (2020). GES COVID-19 education continuity programme: Annual report. GES Publications. [Google Scholar] [Crossref]
17. Ghana Education Service (GES). (2022). Annual school census and performance data. GES Directorate of Education Sector Performance. [Google Scholar] [Crossref]
18. Ghana Independent Schools Association. (2023). Survey on digital wellness practices in private basic schools in Ghana. GISA Research Division. [Google Scholar] [Crossref]
19. Ghana Statistical Service. (2021). Ghana living standards survey round 8 (GLSS 8). GSS. [Google Scholar] [Crossref]
20. Ghana Statistical Service. (2023). Digital access and internet use report 2023. GSS. [Google Scholar] [Crossref]
21. Green, B. N., Johnson, C. D., & Adams, A. (2006). Writing narrative literature reviews for peer-reviewed journals: Secrets of the trade. Journal of Chiropractic Medicine, 5(3), 101–117. [Google Scholar] [Crossref]
22. Griffiths, M. D. (2005). A 'components' model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. [Google Scholar] [Crossref]
23. Hale, L., & Guan, S. (2015). Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Medicine Reviews, 21, 50–58. [Google Scholar] [Crossref]
24. Inchley, J., Currie, D., Young, T., Samdal, O., Torsheim, T., Augustson, L., … Barnekow, V. (Eds.). (2016). Growing up unequal: Gender and socioeconomic differences in young people's health and well-being. WHO Regional Office for Europe. [Google Scholar] [Crossref]
25. Kuss, D. J., Kristensen, A. M., & Lopez-Fernandez, O. (2020). Internet addictions outside of Europe: A systematic literature review. Computers in Human Behavior, 115, 106621. [Google Scholar] [Crossref]
26. Lam, L. T. (2014). Risk factors of internet addiction and the health effect of internet addiction on adolescents: A systematic review of longitudinal and prospective studies. Current Psychiatry Reports, 16(11), 508. [Google Scholar] [Crossref]
27. Ministry of Communications and Digitalisation. (2020). Ghana ICT4AD policy revision 2018–2023. GoG Publications. [Google Scholar] [Crossref]
28. Ministry of Education, Ghana. (2023). National Education Assessment (NEA) report 2022. MoE Directorate of Basic and Secondary Education. [Google Scholar] [Crossref]
29. National Teaching Council (NTC). (2022). Teacher professional standards and competency framework. NTC Publications. [Google Scholar] [Crossref]
30. Osafo, J., & Akotia, C. S. (2021). Mental health policy and practice in Ghana: Challenges and opportunities. Journal of Mental Health, 30(4), 409–415. [Google Scholar] [Crossref]
31. Owusu-Acheaw, M., & Larson, A. G. (2015). Use of social media and its impact on academic performance of tertiary institution students: A study of students of Koforidua Polytechnic, Ghana. Journal of Education and Practice, 6(6), 94–101. [Google Scholar] [Crossref]
32. Paruthi, S., Brooks, L. J., D'Ambrosio, C., Hall, W. A., Kotagal, S., Lloyd, R. M., … Wise, M. S. (2016). Recommended amount of sleep for pediatric populations. Journal of Clinical Sleep Medicine, 12(6), 785–786. [Google Scholar] [Crossref]
33. Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. [Google Scholar] [Crossref]
34. Radesky, J. S., & Christakis, D. A. (2016). Increased screen time: Implications for early childhood development and behavior. Pediatric Clinics of North America, 63(5), 827–839. [Google Scholar] [Crossref]
35. Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2(4), 328–335. [Google Scholar] [Crossref]
36. Sharif, I., & Sargent, J. D. (2006). Association between television, movie, and video game exposure and school performance. Pediatrics, 118(4), e1061–e1070. [Google Scholar] [Crossref]
37. Twenge, J. M., & Campbell, W. K. (2019). Media use is linked to lower psychological well-being: Evidence from three datasets. Psychiatric Quarterly, 90(2), 311–331. [Google Scholar] [Crossref]
38. Uhls, Y. T., Michikyan, M., Morris, J., Garcia, D., Small, G. W., Zgourou, E., & Greenfield, P. M. (2014). Five days at outdoor education camp without screens improves preteen skills with nonverbal emotion cues. Computers in Human Behavior, 39, 387–392. [Google Scholar] [Crossref]
39. UNICEF Ghana. (2021). COVID-19 and education in Ghana: Impact and response assessment. UNICEF. [Google Scholar] [Crossref]
40. United Nations Committee on the Rights of the Child. (2021). General comment No. 25 (2021) on children's rights in relation to the digital environment. United Nations. [Google Scholar] [Crossref]
41. Weis, R., & Cerankosky, B. C. (2010). Effects of video-game ownership on young boys' academic and behavioral functioning: A randomized, controlled study. Psychological Science, 21(4), 463–470. [Google Scholar] [Crossref]
42. World Health Organization (WHO). (2019). International classification of diseases 11th revision (ICD-11). WHO Press. [Google Scholar] [Crossref]
43. World Health Organization (WHO). (2020). School mental health: Situation analysis in the African region. WHO Regional Office for Africa. [Google Scholar] [Crossref]
44. World Health Organization (WHO). (2019). Guidelines on physical activity, sedentary behaviour and sleep for children under 5 years of age. WHO Press. [Google Scholar] [Crossref]
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