Academic Journal
Prevalence of Computer Vision Syndrome and Its Risk Factors in a Spanish University Population.
| Title: | Prevalence of Computer Vision Syndrome and Its Risk Factors in a Spanish University Population. |
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| Authors: | Ortiz-Toquero S; Instituto Universitario de Oftalmobiología Aplicada (IOBA) (S.O.-T., I.S., A.S., R.M.), Universidad de Valladolid, Valladolid, España; Departamento de Física Teórica (S.O.-T., I.S., A.S., R.M.), Atómica y Óptica, Universidad de Valladolid, Valladolid, España; and Optometry Research Group (S.O.-T., I.S., A.S., R.M.), IOBA Eye Institute, School of Optometry, University of Valladolid, Valladolid, Spain., Sanchez I, Serrano A, Martin R |
| Source: | Eye & contact lens [Eye Contact Lens] 2024 Aug 01; Vol. 50 (8), pp. 333-341. Date of Electronic Publication: 2024 Jun 12. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 101160941 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1542-233X (Electronic) Linking ISSN: 15422321 NLM ISO Abbreviation: Eye Contact Lens Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Hagerstown, Md. : Lippincott Williams & Wilkins, c2003- |
| MeSH Terms: | Computer Terminals*, Spain/epidemiology ; Dry Eye Syndromes/epidemiology ; Dry Eye Syndromes/etiology ; Asthenopia/epidemiology ; Asthenopia/etiology ; Students/statistics & numerical data ; Humans ; Female ; Male ; Prevalence ; Adult ; Cross-Sectional Studies ; Risk Factors ; Universities ; Young Adult ; Middle Aged ; Surveys and Questionnaires ; Adolescent |
| Abstract: | Objectives: To determine the prevalence of digital eye strain or computer vision syndrome (CVS) and its risk factors in a university population (University of Valladolid, Spain). Methods: An anonymous cross-sectional online survey was conducted in a university population [staff (lecturers and administrative employees) and students (undergraduate, master's, and PhD)], including two validated questionnaires (Ocular Surface Disease Index [OSDI] and the 17-item Computer-Vision Symptom Scale questionnaire [CVSS17]) and questions about sociodemographic data and visual display terminal use. The prevalence and risk factors for CVS (CVSS17≥29) (multivariate logistic regression model) were calculated. Results: One thousand nine participants responded to the survey (35.2±15.2 years; 64.1% women). The mean OSDI and CVSS17 questionnaire scores were 18.9±15.6 and 31.5±6.4, respectively, and 35.4% of the respondents had dry eye symptoms (OSDI>22). The total prevalence of CVS was 65.4% (95% CI 62.1-68.3). Undergraduate students showed the highest CVS prevalence (72.6%; P <0.01), which was significant. In addition, women, participants younger than 36 years old, contact lens wearers, and subjects with dry eye symptoms reported a statistically higher CVSS17 score ( P ≤0.01). In the multivariate model, significant factors associated with the presence of CVS ( P ≤0.03) were female sex (OR=2.10; 95% CI 1.54-2.88), dry eye symptoms (OSDI>22) (OR=16.98; 95% CI 10.36-27.84), VTD use ≥6 hr daily (OR=1.96; 95% CI 1.09-3.52), and being an undergraduate student (OR=2.23; 95% CI 1.54-3.24). Conclusion: A high prevalence (65.4%) of CVS was found among the Spanish university population, with the undergraduate student group having the highest prevalence (72.6%). Female sex, more than 6 hr/day of visual display terminal use, being an undergraduate student, and dry eye symptoms significantly increased the risk of CVS in the university population. (Copyright © 2024 Contact Lens Association of Ophthalmologists.) |
| Competing Interests: | The authors have no conflicts of interest to disclose. |
| References: | Hayes JR, Sheedy JE, Stelmack JA, et al. Computer use, symptoms, and quality of life. Optom Vis Sci 2007;84:738–744. Daum KM, Clore KA, Simms SS, et al. Productivity associated with visual status of computer users. Optometry 2004;75:33–47. American Optometric Association. Computer Vision Syndrome. Available at: https://www.aoa.org/patients-and-public/caring-for-your-vision/protecting-your-vision/computer-vision-syndrome . Accessed June 29, 2023. Singh S, McGuinness MB, Anderson AJ, et al. Interventions for the management of computer vision syndrome: A systematic review and meta-analysis. Ophthalmology 2022;129:1192–1215. Talens-Estarelles C, García-Marqués JV, Cervino A, et al. Use of digital displays and ocular surface alterations: A review. Ocul Surf 2021;19:252–265. González-Pérez M, Susi R, Barrio A, et al. Five levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis. PLoS One 2018;13:e0202173. González-Pérez M, Susi R, Antona B, et al. The computer-vision symptom scale (CVSS17): Development and initial validation. Invest Ophthalmol Vis Sci 2014;55:4504–4511. Rosenfield M. Computer vision syndrome: A review of ocular causes and potential treatments. Ophthalmic Physiol Opt 2011;31:502–515. Uchino M, Yokoi N, Uchino Y, et al. Prevalence of dry eye disease and its risk factors in visual display terminal users: The Osaka study. Am J Ophthalmol 2013;156:759–766. Courtin R, Pereira B, Naughton G, et al. Prevalence of dry eye disease in visual display terminal workers: A systematic review and meta-analysis. BMJ Open 2016;6:e009675. Tauste A, Ronda E, Molina MJ, et al. Effect of contact lens use on computer vision syndrome. Ophthalmic Physiol Opt 2016;36:112–119. World Internet Users Statistics and 2019 World Population Stats. Available at: https://www.internetworldstats.com/stats.htm . Accessed February 20, 2024. Talens-Estarelles C, García-Marqués JV, Cervino A, et al. Online vs in-person education: Evaluating the potential influence of teaching modality on dry eye symptoms and risk factors during the COVID-19 pandemic. Eye Contact Lens 2021;47:565–572. Schiffman RM, Christianson MD, Jacobsen G, et al. Reliability and validity of the ocular surface disease index. Arch Ophthalmol 2000;118:615–621. Miller KL, Walt JG, Mink DR, et al. Minimal clinically important difference for the ocular surface disease index. Arch Ophthalmol 2010;128:94–101. Stapleton F, Alves M, Bunya VY, et al. TFOS DEWS II epidemiology report. Ocul Surf 2017;15:334–365. Talens-Estarelles C, García-Marqués JV, Cerviño A, et al. Dry eye-related risk factors for digital eye strain. Eye Contact Lens 2022;48:410–415. Cantó-Sancho N, Sánchez-Brau M, Ivorra-Soler B, et al. Computer vision syndrome prevalence according to individual and video display terminal exposure characteristics in Spanish university students. Int J Clin Pract 2021;75:e13681. Wang C, Joltikov KA, Kravets S, et al. Computer vision syndrome in undergraduate and medical students during the COVID-19 pandemic. Clin Ophthalmol 2023;17:1087–1096. Logaraj M, Madhupriya V, Hegde S. Computer vision syndrome and associated factors among medical and engineering students in Chennai. Ann Med Health Sci Res 2014;4:179–185. Coronel-Ocampos J, Gómez J, Gómez A, et al. Computer visual syndrome in medical students from a private university in Paraguay: A survey study. Front Public Health 2022;10:935405. Reddy SC, Low CK, Lim YP, et al. Computer vision syndrome: A study of knowledge and practices in university students. Nepal J Ophthalmol 2013;5:161–168. Cantó-Sancho N, Porru S, Casati S, et al. Prevalence and risk factors of computer vision syndrome—assessed in office workers by a validated questionnaire. PeerJ 2023;11:e14937. Artime-Ríos E, Suárez-Sánchez A, Sánchez-Lasheras F, et al. Computer vision syndrome in healthcare workers using video display terminals: An exploration of the risk factors. J Adv Nurs 2022;78:2095–2110. Anbesu EW, Lema AK. Prevalence of computer vision syndrome: A systematic review and meta-analysis. Sci Rep 2023;13:1801. Portello JK, Rosenfield M, Bababekova Y, et al. Computer-related visual symptoms in office workers. Ophthalmic Physiol Opt 2012;32:375–382. Ranasinghe P, Wathurapatha WS, Perera YS, et al. Computer vision syndrome among computer office workers in a developing country: An evaluation of prevalence and risk factors. BMC Res Notes 2016;9:150. Toomingas A, Hagberg M, Heiden M, et al. Risk factors, incidence and persistence of symptoms from the eyes among professional computer users. Work 2014;47:291–301. Sánchez-Valerio MDR, Mohamed-Noriega K, Zamora-Ginez I, et al. Dry eye disease association with computer exposure time among subjects with computer vision syndrome. Clin Ophthalmol 2020;14:4311–4317. Martin R, EMO Research Group. Symptoms of dry eye related to the relative humidity of living places. Cont Lens Anterior Eye 2023;46:101865. Kamøy B, Magno M, Nøland ST, et al. Video display terminal use and dry eye: Preventive measures and future perspectives. Acta Ophthalmol 2022;100:723–739. Talens-Estarelles C, García-Marqués JV, Cerviño A, et al. Ocular surface predisposing factors for digital display-induced dry eye. Clin Exp Optom 2023;106:373–379. Meyer D, Rickert M, Kollbaum P. Ocular symptoms associated with digital device use in contact lens and non-contact lens groups. Cont Lens Anterior Eye 2021;44:42–50. |
| Entry Date(s): | Date Created: 20240612 Date Completed: 20240725 Latest Revision: 20250528 |
| Update Code: | 20260130 |
| DOI: | 10.1097/ICL.0000000000001105 |
| PMID: | 38865594 |
| Database: | MEDLINE |
| ISSN: | 1542-233X |
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| DOI: | 10.1097/ICL.0000000000001105 |