Prevalence and Severity of Dry Eye Disease Among Prolonged Digital Device Users: A Cross-Sectional Study
DOI:
https://doi.org/10.61919/y49t2459Keywords:
Cross-sectional studies, dry eye syndromes, ocular surface, prevalence, risk factors, screen time, visual display terminals.Abstract
Background: Dry eye disease has become an increasingly important ocular surface disorder in the era of widespread digital device use, with prolonged screen exposure contributing to altered blinking, tear film instability, and visual discomfort. Objective: To determine the prevalence and severity of dry eye disease and evaluate its association with prolonged daily screen time among digital device users in Peshawar, Pakistan. Methods: This cross-sectional study was conducted from March to October 2025 among 422 adults aged 18-45 years who used digital devices for at least 2 hours daily. Participants were assessed using the Ocular Surface Disease Index and SPEED questionnaires, followed by Tear Break-Up Time and Schirmer’s I testing. Mean differences in symptom severity across screen-time categories were evaluated using one-way ANOVA, and associations were assessed using Pearson’s correlation and logistic regression. Results: The mean age was 27.8 ± 6.1 years, and 55.5% of participants were female. The prevalence of dry eye disease based on OSDI was 80.1% (95% CI: 76.3%-83.9%), with 31.3% showing severe symptoms. TBUT below 10 seconds was observed in 63.5%, Schirmer’s I below 10 mm/5 min in 46.4%, and both abnormalities in 36.5%. Mean OSDI scores increased progressively across screen-time categories, reaching 45.7 ± 10.3 in participants with more than 6 hours of daily exposure. Screen time was strongly correlated with OSDI score (r = 0.71, p < 0.001), and users with more than 6 hours of exposure had 3.8-fold higher odds of moderate-to-severe dry eye. Conclusion: Dry eye disease was highly prevalent among prolonged digital device users, and its severity increased significantly with greater daily screen exposure. Regular screening, digital hygiene counseling, and public awareness measures may help reduce the burden of screen-associated ocular surface disease.
References
1. Sharma S, Singh A, Mishra S, Narang K, Agrawal A, Kumari R, et al. Tear film dysfunction and its association with smartphone usage in adolescents. Cesk Slov Oftalmol. 2025;81:Ahead of print:1-7.
2. Nagino K, Inomata T, Nakamura M, Sung J, Midorikawa-Inomata A, Iwagami M, et al. Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study. Eye (Lond). 2023;37(16):3484-91.
3. Tangmonkongvoragul C, Chokesuwattanaskul S, Khankaeo C, Punyasevee R, Nakkara L, Moolsan S, et al. Prevalence of symptomatic dry eye disease with associated risk factors among medical students at Chiang Mai University due to increased screen time and stress during COVID-19 pandemic. PLoS One. 2022;17(3):e0265733.
4. Luo CK, Tan QQ, Tea Y, Pang Y. The prevalence of dry eye disease symptoms and its association with screen time in young adults aged 21-30 years. Ophthalmic Physiol Opt. 2025;45(5):1195-200.
5. Zou Y, Li D, Gianni V, Congdon N, Piyasena P, Prakalapakorn SG, et al. Prevalence of dry eye disease among children: a systematic review and meta-analysis. BMJ Open Ophthalmol. 2025;10(1):e001867.
6. Ortiz-Toquero S, Sanchez I, Serrano A, Martin R. Prevalence of computer vision syndrome and its risk factors in a Spanish university population. Eye Contact Lens. 2024;50(8):333-41.
7. Ay IE, Kose F. Ocular health screening among care-center residents with disabilities: a smartphone adaptive fundus camera cross-sectional study. Eur Rev Med Pharmacol Sci. 2023;27(2):620-7.
8. Bilgic AA, Kocabeyoglu S, Dikmetas O, Tan C, Karakaya J, Irkec M. Influence of video display terminal use and meibomian gland dysfunction on the ocular surface and tear neuromediators. Int Ophthalmol. 2023;43(5):1537-44.
9. Conrad N, Misra S, Verbakel JY, Verbeke G, Molenberghs G, Taylor PN, et al. Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UK. Lancet. 2023;401(10391):1878-90.
10. Ece BSD, Altındaş İ. Impact of screen use on tear breakup time: associations with ophthalmological factors and break frequency in office workers. Arq Bras Oftalmol. 2025;88(6):e20250083.
11. Shah M, Natarajan SB, Ahmad N. Excessive screen time exposure leads to dry eyes and inflammatory conjunctivitis in children. Ir J Med Sci. 2025;194(2):597-602.
12. Britten-Jones AC, Wang MTM, Samuels I, Jennings C, Stapleton F, Craig JP. Epidemiology and risk factors of dry eye disease: considerations for clinical management. Medicina (Kaunas). 2024;60(9):1457.
13. Yang L, Jin X, Huang W, He L, Chen J. [Epidemiological investigation of asthenopia and dry eye among visual display terminal workers]. Beijing Da Xue Xue Bao Yi Xue Ban. 2025;57(3):554-61. Chinese.
14. Okumura Y, Inomata T, Midorikawa-Inomata A, Sung J, Fujio K, Akasaki Y, et al. DryEyeRhythm: a reliable and valid smartphone application for the diagnosis assistance of dry eye. Ocul Surf. 2022;25:19-25.
15. Utlu ES, Bayraktar M, Utlu B. Dry eye in primary care: the relationship between digital display device usage and dry eye syndrome in medical students. Fam Pract. 2024;41(3):246-54.
16. Cartes C, Segovia C, Salinas-Toro D, Goya C, Alonso MJ, Lopez-Solis R, et al. Dry eye and visual display terminal-related symptoms among university students during the coronavirus disease pandemic. Ophthalmic Epidemiol. 2022;29(3):245-51.
17. Loebis R, Subakti Zulkarnain B, Zahra N. Correlation between the exposure time to mobile devices and the prevalence of evaporative dry eyes as one of the symptoms of computer vision syndrome among senior high school students in East Java, Indonesia. J Basic Clin Physiol Pharmacol. 2021;32(4):541-5.
18. Fujio K, Nagino K, Huang T, Sung J, Akasaki Y, Okumura Y, et al. Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis. Sci Rep. 2023;13(1):13583.
19. Gupta PC, Rana M, Ratti M, Duggal M, Agarwal A, Khurana S, et al. Association of screen time, quality of sleep and dry eye in college-going women of Northern India. Indian J Ophthalmol. 2022;70(1):51-8.
20. Jadeja JN, Shroff KV, Shah A, Pandey A, Dubey S. Association of digital device usage and dry eye disease in school children. Indian J Ophthalmol. 2024;72(7):1031-6.
21. Fjaervoll H, Fjaervoll K, Magno M, Moschowits E, Vehof J, Dartt DA, et al. The association between visual display terminal use and dry eye: a review. Acta Ophthalmol. 2022;100(4):357-75.
22. Kasetsuwan N, Suwan-Apichon O, Lekhanont K, Chuckpaiwong V, Reinprayoon U, Chantra S, et al. Assessing the risk factors for diagnosed symptomatic dry eye using a smartphone app: cross-sectional study. JMIR Mhealt
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Copyright (c) 2025 Muhammad Israr, Noor-e-eman, Malaika Sardar, Um E Farwa, Hina Ali Ahmed, Ayesha Rahman (Author)

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