Introduction: Intensive use of digital screens is a hallmark of modern life, leading to an increase in visual symptoms collectively referred to as computer vision syndrome or asthenopic symptoms. The objective of this study was to assess the prevalence and associated factors of these symptoms in a population in the city of Maradi, Niger. MaterialsandMethods: A descriptive and analytical cross-sectional study was conducted over a six-month period, from April to September 2025. A convenience sample of 210 participants, who were regular screen users, was recruited. Data were collected via a structured questionnaire covering sociodemographic characteristics, screen usage habits, and reported visual symptoms. Statistical analysis was performed using Epi Info software. Results: The mean age of the 210 participants was 34.64 ± 11.12 years, with a predominance of males (male-to-female ratio = 2.68). Students constituted the largest occupational group (36.67%). The cell phone was the most frequently used screen (40.48% for exclusive use). The overall prevalence of asthenopic symptoms was 82.38%. The most common symptoms were eye strain (13.81%) and blurred vision (13.81%), followed by headaches. Daily screen time exceeding 4 hours and the absence of regular breaks were significantly associated with a higher frequency of symptoms. Only 22.86% of symptomatic participants had consulted an eye care professional. Conclusion: Screen-related visual symptoms are highly prevalent in our study population, highlighting an emerging public health issue. Increased awareness of good ergonomic practices, such as the 20-20-20 rule, and encouragement of regular eye exams are necessary to prevent long-term consequences for eye health.
References
[1]
Poushter, J., Bishop, C. and Chwe, H. (2018) Social Media Use Continues to Rise in Developing Countries but Plateaus Across Developed Ones. Pew Research Center.
[2]
Sheppard, A.L. and Wolffsohn, J.S. (2018) Digital Eye Strain: Prevalence, Measurement and Amelioration. BMJ Open Ophthalmology, 3, e000146. https://doi.org/10.1136/bmjophth-2018-000146
[3]
American Optometric Association: Computer Vision Syndrome. https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computer-vision-syndrome
[4]
Rosenfield, M. (2011) Computer Vision Syndrome: A Review of Ocular Causes and Potential Treatments. Ophthalmic and Physiological Optics, 31, 502-515. https://doi.org/10.1111/j.1475-1313.2011.00834.x
[5]
Gowrisankaran, S. and Sheedy, J.E. (2015) Computer Vision Syndrome: A Review. Work, 52, 303-314. https://doi.org/10.3233/wor-152162
[6]
Anbesu, E.W. and Lema, A.K. (2023) Prevalence of Computer Vision Syndrome: A Systematic Review and Meta-analysis. Scientific Reports, 13, Article No. 1801. https://doi.org/10.1038/s41598-023-28750-6
[7]
Coles-Brennan, C., Sulley, A. and Young, G. (2019) Management of Digital Eye Strain. Clinical and Experimental Optometry, 102, 18-29. https://doi.org/10.1111/cxo.12798
[8]
Blehm, C., Vishnu, S., Khattak, A., Mitra, S. and Yee, R.W. (2005) Computer Vision Syndrome: A Review. Survey of Ophthalmology, 50, 253-262. https://doi.org/10.1016/j.survophthal.2005.02.008
[9]
Tsubota, K. and Nakamori, K. (1993) Dry Eyes and Video Display Terminals. New England Journal of Medicine, 328, 584-584. https://doi.org/10.1056/nejm199302253280817
[10]
Yan, Z., Hu, L., Chen, H. and Lu, F. (2008) Computer Vision Syndrome: A Widely Spreading but Largely Unknown Epidemic among Computer Users. Computers in Human Behavior, 24, 2026-2042. https://doi.org/10.1016/j.chb.2007.09.004
[11]
Ranasinghe, P., et al. (2016) Computer Vision Syndrome among Computer Office Workers in a Developing Country: An Evaluation of Prevalence and Risk Factors. BMC Research Notes, 9, Article No. 150.
[12]
Assefa, N.L., Weldemichael, D., Alemu, H.w. and Anbesse, D.H. (2017) Prevalence and Associated Factors of Computer Vision Syndrome among Bank Workers in Gondar City, Northwest Ethiopia, 2015. Clinical Optometry, 9, 67-76. https://doi.org/10.2147/opto.s126366
[13]
Reddy, S.C., Low, C., Lim, Y., Low, L., Mardina, F. and Nursaleha, M. (2013) Computer Vision Syndrome: A Study of Knowledge and Practices in University Students. Nepalese Journal of Ophthalmology, 5, 161-168. https://doi.org/10.3126/nepjoph.v5i2.8707
[14]
Turkistani, A.N., Al-Romaih, A., Alrayes, M.M., Al Ojan, A. and Al-Issawi, W. (2021) Computer Vision Syndrome among Saudi Population. Journal of Family Medicine and Primary Care, 10, 2313-2318. https://doi.org/10.4103/jfmpc.jfmpc_2466_20
[15]
Iqbal, M., Said, O., Ibrahim, O. and Soliman, A. (2021) Visual Sequelae of Computer Vision Syndrome: A Cross-Sectional Case-Control Study. Journal of Ophthalmology, 2021, Article ID: 6630286. https://doi.org/10.1155/2021/6630286
[16]
Al Tawil, L., Aldokhayel, S., Zeitouni, L., Qadoumi, T., Hussein, S. and Ahamed, S.S. (2018) Prevalence of Self-Reported Computer Vision Syndrome Symptoms and Its Associated Factors among University Students. European Journal of Ophthalmology, 30, 189-195. https://doi.org/10.1177/1120672118815110
[17]
Wajuihian, S.O. (2019) A Review of the Causes and Associations of Asthenopia. African Vision and Eye Health, 78, a488.
[18]
Igarashi, H., Sakai, F., Kan, S., Okada, J. and Tazaki, Y. (1991) Magnetic Resonance Imaging of the Brain in Patients with Migraine. Cephalalgia, 11, 69-74. https://doi.org/10.1046/j.1468-2982.1991.1102069.x
[19]
Loh, K.Y. and Redd, S.C. (2008) Understanding and Preventing Computer Vision Syndrome. Malaysian Family Physician, 3, 128-130.
[20]
Portello, J.K., Rosenfield, M., Bababekova, Y., Estrada, J.M. and Leon, A. (2012) Computer-Related Visual Symptoms in Office Workers. Ophthalmic and Physiological Optics, 32, 375-382. https://doi.org/10.1111/j.1475-1313.2012.00925.x
[21]
Agarwal, S. (2013) Evaluation of the Factors Which Contribute to the Ocular Complaints in Computer Users. Journal of Clinical and Diagnostic Research, 7, 331-335. https://doi.org/10.7860/jcdr/2013/5150.2760
[22]
Talens-Estarelles, C., Cervi?o, A., García-Lázaro, S., Fogelton, A., Sheppard, A. and Wolffsohn, J.S. (2023) The Effects of Breaks on Digital Eye Strain, Dry Eye and Binocular Vision: Testing the 20-20-20 Rule. Contact Lens and Anterior Eye, 46, Article ID: 101744. https://doi.org/10.1016/j.clae.2022.101744
[23]
Bababekova, Y., Rosenfield, M., Hue, J.E. and Huang, R.R. (2011) Font Size and Viewing Distance of Handheld Smart Phones. Optometry and Vision Science, 88, 795-797. https://doi.org/10.1097/opx.0b013e3182198792
[24]
Uchino, M., Schaumberg, D.A., Dogru, M., Uchino, Y., Fukagawa, K., Shimmura, S., et al. (2008) Prevalence of Dry Eye Disease among Japanese Visual Display Terminal Users. Ophthalmology, 115, 1982-1988. https://doi.org/10.1016/j.ophtha.2008.06.022
[25]
World Health Organization (2019) World Report on Vision. World Health Organization.
[26]
Abelson, M.B., Yamamoto, G.K. and Allansmith, M.R. (1980) Effects of Ocular Decongestants. Archives of Ophthalmology, 98, 856-858. https://doi.org/10.1001/archopht.1980.01020030850009
[27]
Jacobs, K. and Johnson, P. (2013) Ergonomics for Therapists. 3rd Edition, Elsevier.
[28]
Lawrenson, J.G., Hull, C.C. and Downie, L.E. (2017) The Effect of Blue-Light Blocking Spectacle Lenses on Visual Performance, Macular Health and the Sleep‐wake Cycle: A systematic Review of the Literature. Ophthalmic and Physiological Optics, 37, 644-654. https://doi.org/10.1111/opo.12406
[29]
Singh, S., Downie, L.E. and Anderson, A.J. (2021) Do Blue-Blocking Lenses Reduce Eye Strain from Extended Screen Time? A Double-Masked Randomized Controlled Trial. American Journal of Ophthalmology, 226, 243-251. https://doi.org/10.1016/j.ajo.2021.02.010