Evaluation of visual fatigue in the workers of the company Soluciones Integrales de Ingeniería: Grupo Consultor using the CVSS17 test

Authors

DOI:

https://doi.org/10.55204/trc.v6i1.e596

Keywords:

Visual fatigue, CVSS17, prevention, workers

Abstract

Visual fatigue develops as a result of sustained eye strain during the workday, especially in activities involving prolonged screen use and poor lighting. Its most frequent manifestations include eye tiredness, burning sensations, and headaches, which negatively impact the worker's well-being and concentration. This study aimed to evaluate visual fatigue in employees of Soluciones Integrales de Ingeniería. The CVSS17 questionnaire was administered to a population of 23 employees from the Consulting group. Levels of visual fatigue (low, medium, and high), as well as severity, associated symptoms, and their relationship with sociodemographic variables, were analyzed. The results showed a medium prevalence of visual fatigue of 82.6% and a high prevalence of 17.4%. The instrument demonstrated acceptable internal consistency (Cronbach's alpha = 0.750) and adequate sample size (KMO = 0.728), confirming its reliability. It is concluded that there is a significant presence of medium to high levels of visual fatigue among the workers evaluated, highlighting the need to implement preventive strategies. Among these, the adoption of the 20-20-20 rule and periodic evaluation by a vision care specialist are recommended as primary preventive interventions.

Downloads

Download data is not yet available.

References

Akinbinu, T. R., & Mashalla, Y. J. (2014). Impact of computer technology on health: Computer Vision Syndrome (CVS). Medical Practice and Reviews, 5(3), 20–30.

Arlanzón, P. (2016). Evaluación y caracterización del síndrome visual informático en la población de la Universidad de Valladolid (Doctoral dissertation, tesis de pregrado]. Valladolid: Universidad de Valladolid).

Arlanzón Lope, P. (2018). Evaluación y caracterización del síndrome visual informático en la población de la Universidad de Valladolid. Valladolid.

Blehm, C., Vishnu, S., Khattak, A., Mitra, S., & Yee, R. W. (2005). Computer vision syndrome: A review. Survey of Ophthalmology, 50(3), 253–262. https://doi.org/10.1016/j.survophthal.2005.02.008

Buñay Yépez, M. P., & Flores Pilco, D. A. (2022). Fatiga ocular y su relación con pantallas de visualización en el personal del municipio de Colta durante el año 2021. Metanoia. Revista de Ciencia, Tecnología e Innovación, 8(1), 1–15.

Cabezas-Heredia, E., Molina-Granja, F., Montenegro-Bosquez, G., Salazar, M., Santillán-Lima, J., Ramirez, S., & Cachay-Boza, O. (2023). Assessment of technological stress levels in university staff: case study. EAI Endorsed Transactions on Pervasive Health and Technology, 9(1).

Coles-Brennan, C., Sulley, A., & Young, G. (2019). Management of digital eye strain. Clinical and Experimental Optometry, 102(1), 18–29. https://doi.org/10.1111/cxo.12798

Chetty, L., Júnior, L. C., & Naidoo, K. S. (2020). The impact of digital device use on visual health. African Vision and Eye Health, 79(1), 1–6.

Chou, L., Huang, J., & Lin, C. (2022). Gender differences in the prevalence and severity of visual fatigue in computer users. Journal of Ophthalmology, 2022, 1-9. https://doi.org/10.1155/2022/7490259

Defaz Gutiérrez, C. G. (2022). Fatiga visual relacionada al uso de pantallas de visualización en trabajadores del servicio de emergencia de un hospital de Quito (Tesis de maestría). Universidad Regional Autónoma de los Andes.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning

Instituto de Salud Pública de Chile. (2016). Guía técnica para la vigilancia de la salud visual en trabajadores expuestos a pantallas de visualización de datos. ISP.

Jung, J., & Katz, V. S. (2023). Learning and working in the digital age after COVID-19. Journal of Computer-Mediated Communication, 28(1), zmac033.

Kärkkäinen, S., Laitinen, T., & Häkkinen, J. (2021). Sociodemographic factors and their relationship to visual fatigue in the digital era. Journal of Occupational Health, 63(1), 27-35. https://doi.org/10.1539/joh.20-0109

Logaraj, M., Madhupriya, V., & Hegde, S. (2014). Computer vision syndrome and associated factors among medical and engineering students in Chennai. Annals of Medical and Health Sciences Research, 4(2), 179–185. https://doi.org/10.4103/2141-9248.129028

Meyer, J., McDowell, C., Lansing, J., Brower, C., Smith, L., Tully, M., & Herring, M. (2020). Changes in physical activity and sedentary behavior in response to COVID-19 and their associations with mental health. International Journal of Environmental Research and Public Health, 17(18), 6469. https://doi.org/10.3390/ijerph17186469

Molina-Aragonés, J. M., Lemonche-Aguilera, C., Sánchez-San Cirilo, S., & López-Pérez, C. (2018). Cuestionario CVSS17 y vigilancia de la salud de trabajadores profesionalmente expuestos a pantallas de visualización. Medicina y Seguridad del Trabajo, 64(253), 329–344. https://doi.org/10.4321/S0465-546X2018000400006

Organización Mundial de la Salud. (2020). World report on vision. OMS.

Portello, J. K., Rosenfield, M., Bababekova, Y., Estrada, J. M., & Leon, A. (2012). Computer-related visual symptoms in office workers. Ophthalmic and Physiological Optics, 32(5), 375–382. https://doi.org/10.1111/j.1475-1313.2012.00925.x

Rosenfield, M. (2011). Computer vision syndrome: A review of ocular causes and potential treatments. Ophthalmic and Physiological Optics, 31(5), 502–515. https://doi.org/10.1111/j.1475-1313.2011.00834.x

Rosenfield, M. (2016). Computer vision syndrome (digital eye strain). Optometry in Practice, 17(1), 1–10.

Sánchez-Erazo, J. I., Mora-Huiracocha, D. R., & Cabrera-Armijos, R. A. (2025). Impacto de soluciones ergonómicas en prevenir fatiga visual y problemas de salud por pantallas a funcionarios en el GAD Morona. Revista Científica Multidisciplinaria Arbitrada YACHASUN, 9(16), 1433–1448. https://doi.org/10.46296/yc.v9i16.0654

Sheppard, A. L., & Wolffsohn, J. S. (2018). Digital eye strain: Prevalence, measurement and amelioration. BMJ Open Ophthalmology, 3(1), e000146. https://doi.org/10.1136/bmjophth-2018-000146

Socoy-Chinlli, J., & Cabezas-Heredia, E. (2023). Síndrome de fatiga visual y relación con el teletrabajo postpandemia en el personal administrativo de EP Petroecuador. Polo del Conocimiento, 8(1), 62–80. https://doi.org/10.23857/pc.v7i8

Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2

Zolg, S., Weiss, A., & Schleicher, R. (2021). Digitalization, work demands and employee health. Occupational Health Science, 5(3), 275–292.

Downloads

Published

2026-03-28

Issue

Section

Original Research Articles

How to Cite

Bernal Castro, V. A., & Cabezas Chávez, L. F. (2026). Evaluation of visual fatigue in the workers of the company Soluciones Integrales de Ingeniería: Grupo Consultor using the CVSS17 test. Tesla Revista Científica, 6(1), e596. https://doi.org/10.55204/trc.v6i1.e596

Most read articles by the same author(s)