Computer visual syndrome in workers at an eye care center in Peru
DOI:
https://doi.org/10.35663/amp.2024.414.3304Keywords:
Asthenopia, Vision disorders, Occupational health, Health personnel, Administrative personnelAbstract
Objective: To estimate the frequency of computer vision syndrome (CVS) in workers of an ophthalmologic care center in Peru. The secondary objective was to explore factors associated with CVS in these workers. Materials and methods: This is a descriptive cross-sectional study, which was performed during February and March 2024, in 240 workers of an ophthalmologic center in Peru. The main variable was CVS and it was assessed using the Computer Vision Syndrome Questionnaire (CVS-Q). Results: The median number of hours of daily use of electronic devices at work was 7 hours (interquartile range 5.5 to 8 hours). Nearly fifty-one percent (50.8%) of workers had CVS. The prevalence of CVS in men was 32% lower compared to the prevalence of CVS in women (aPR=0.68; 95% CI= 0.52 to 0.90; p=0.007). For each hour of work per week, the prevalence of SVI decreased by 2% (PRa=0.98; 95% CI= 0.950 to 0.998; p=0.031). Workers who had ophthalmologic disease had a 31% higher prevalence of SVI than those who did not (PRa=1.31; 95% CI= 1.03 to 1.66; p=0.027). Conclusions: About half of the workers in eye care centers have SVI, being male and working more hours per week is associated with lower SVI, but having underlying eye disease is associated with higher SVI.
Downloads
References
1. Instituto Nacional de Estadística e Informática. Estadísticas de las Tecnologías de las Información y Comunicación en los Hogares. Trimestre Abril-Mayo-Junio 2023. [Internet]. Lima: INEI; 2023 [citado 7 de noviembre de 2023]. Disponible en: https://m. inei.gob.pe/biblioteca-virtual/boletines/tecnologias-de-lainformaciontic/1/#lista
2. Liu Z, Shi Y, Yang B. Open Innovation in Times of Crisis: An Overview of the Healthcare Sector in Response to the COVID-19 Pandemic. J Open Innov Technol Mark Complex. 2022;8(1):21. doi: 10.3390/ joitmc8010021.
3. Curioso WH, Coronel-Chucos LG, Henríquez-Suarez M. Integrating Telehealth for Strengthening Health Systems in the Context of the COVID-19 Pandemic: A Perspective from Peru. Int J Environ Res Public Health. 2023;20(11):5980. doi: 10.3390/ijerph20115980.
4. González-Menéndez E, López-González MJ, González Menéndez S, García González G, Álvarez Bayona T. Principales consecuencias para la salud derivadas del uso continuado de nuevos dispositivos electrónicos con PVD. Rev Esp Salud Pública. 2020;93:e201908062.
5. León Vázquez T, Piñón González JC, Álvarez Pérez J, León Vázquez T, Piñón González JC, Álvarez Pérez J. Alertas en salud sobre el uso de los dispositivos electrónicos y su impacto en el bienestar visual. Rev Cuba Med. 2022;61(3):e3140.
6. American Optometric Association. Computer vision syndrome [Internet]. Washington, DC: AOA; 2023 [citado 7 de noviembre de 2023]. Disponible en: https://www.aoa.org/healthy-eyes/eye-andvision-conditions/computer-vision-syndrome?sso=y
7. Ccami-Bernal F, Soriano-Moreno DR, Romero-Robles MA, BarrigaChambi F, Tuco KG, Castro-Diaz SD, et al. Prevalence of computer vision syndrome: A systematic review and meta-analysis. J Optom. 2024;17(1):100482. doi: 10.1016/j.optom.2023.100482.
8. Sánchez DCS, Montenegro G, Gomez N, Giraldo E. Síndrome Visual Informático en trabajadores que usan computador. Rev Colomb Salud Ocupacional. 2021;11(1):e-7237. doi: 10.18041/2322-634X/ rcso.1.2021.7237.
9. Artime Ríos EM, Sánchez Lasheras F, Suárez Sánchez A, IglesiasRodríguez FJ, Seguí Crespo M del M. Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees. Sensors. 2019;19(12):2800. doi: 10.3390/ s19122800.
10. Artime-Ríos E, Suárez-Sánchez A, Sánchez-Lasheras F, Seguí-Crespo M. Computer vision syndrome in healthcare workers using video display terminals: an exploration of the risk factors. J Adv Nurs. 2022;78(7):2095-110. doi: 10.1111/jan.15140.
11. Fernandez-Villacorta D, Soriano-Moreno AN, Galvez-Olortegui T, Agui-Santivañez N, Soriano-Moreno DR, Benites-Zapata VA. Síndrome visual informático en estudiantes universitarios de posgrado de una universidad privada de Lima, Perú. Arch Soc Esp Oftalmol. 2021;96(10):515-20. doi: 10.1016/j.oftal.2020.12.003.
12. Meneses Castañeda RM, Ramos Rodríguez SL, Molfino Jaramillo C del C, Sánchez Miraval EL, Stein Montoros DF, Chávez Rodríguez LG. Síndrome visual informático en estudiantes de medicina en educación virtual de una universidad peruana durante el 2021. Rev Fac Med Humana. 2023;23(1):25-32. doi: 10.25176/rfmh. v23i1.5525.
13. Estrada Araoz EG, Paricahua Peralta JN, Gallegos Ramos NA, Velasquez Giersch L. Síndrome visual informático en docentes peruanos de educación básica durante la pandemia por covid-19. Rev Univ Soc. 2023;15(1):93-100.
14. Seguí M, Cabrero-García J, Crespo A, Verdú J, Ronda E. A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. J Clin Epidemiol. 2015;68(6):662-73. doi: 10.1016/j.jclinepi.2015.01.015.
15. Huapaya Caña YA. Validación del instrumento “Computer Vision Syndrome Questionnaire (CVS-Q)” en el personal administrativo en Lima 2019 [Tesis de maestría]. Lima, Perú: Universidad Peruana Cayetano Heredia; 2020 [citado 7 de noviembre de 2023]. Disponible en: https://repositorio.upch.edu.pe/handle/20.500.12866/8531
16. Aguilar-Ramírez MDP, Meneses G, Aguilar-Ramírez MDP, Meneses G. Validación del instrumento “Computer Vision Syndrome Questionnaire (CVS-Q)” para la evaluación del síndrome visual informático en personal de salud de Lima. Rev Medica Hered. 2022;33(3):187-95. doi: 10.20453/rmh.v33i3.4339.
17. Gautam PS, Prakash UC, Dangol S. Study on Knowledge and Prevalence of Computer Vision Syndrome among Computer Operators in Nobel Medical College Teaching Hospital, Biratnagar, Nepal. J Nobel Med Coll. 2020;9(2):45-9. doi: 10.3126/jonmc. v9i2.33386.
18. Abudawood GA, Ashi HM, Almarzouki NK. Computer Vision Syndrome among Undergraduate Medical Students in King Abdulaziz University, Jeddah, Saudi Arabia. J Ophthalmol. 2020;2020:e2789376. doi: 10.1155/2020/2789376.
19. Zalat MM, Amer SM, Wassif GA, El Tarhouny SA, Mansour TM. Computer vision syndrome, visual ergonomics and amelioration among staff members in a Saudi medical college. Int J Occup Saf Ergon JOSE. 2022;28(2):1033-41. doi: 10.1080/10803548.2021.1877928.
20. Jaiswal S, Asper L, Long J, Lee A, Harrison K, Golebiowski B. Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know. Clin Exp Optom. 2019;102(5):463-77. doi: 10.1111/cxo.12851.
21. Sheppard AL, Wolffsohn JS. Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmol. 2018;3(1):e000146. doi: 10.1136/bmjophth-2018-000146.
22. Lawrenson JG, Hull CC, Downie LE. 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 Physiol Opt J Br Coll Ophthalmic Opt Optom. 2017;37(6):644-54. doi: 10.1111/opo.12406.
23. Portello JK, Rosenfield M, Chu CA. Blink rate, incomplete blinks and computer vision syndrome. Optom Vis Sci Off Publ Am Acad Optom. 2013;90(5):482-7. doi: 10.1097/OPX.0b013e31828f09a7.
24. Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: a review. Surv Ophthalmol. 2005;50(3):253-62. doi: 10.1016/j.survophthal.2005.02.008.
25. Fostervold KI. VDU work with downward gaze: the emperor’s new clothes or scientifically sound? Int J Ind Ergon. 2003;31(3):161-7. doi: 10.1016/S0169-8141(02)00192-0.
26. Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt J Br Coll Ophthalmic Opt Optom. 2011;31(5):502-15. doi: 10.1111/j.1475- 1313.2011.00834.x.
27. Health and Safety Executive. Working safely with display screen equipment: Overview - DSE [Internet]. HSE; 2013 [citado 2 de abril de 2024]. Disponible en: https://www.hse.gov.uk/msd/dse/
28. College of Optometrist. Examining patients who work with display screen equipment or computers [Internet]. CO; 2017 [citado 2 de abril de 2024]. Disponible en: https://www.college-optometrists. org/clinical-guidance/guidance
29. Galinsky T, Swanson N, Sauter S, Dunkin R, Hurrell J, Schleifer L. Supplementary breaks and stretching exercises for data entry operators: a follow-up field study. Am J Ind Med. 2007;50(7):519- 27. doi: 10.1002/ajim.20472.
30. Balci R, Aghazadeh F. The effect of work-rest schedules and type of task on the discomfort and performance of VDT users. Ergonomics. 2003;46(5):455-65. doi: 10.1080/0014013021000047557.
31. Sullivan DA, Rocha EM, Aragona P, Clayton JA, Ding J, Golebiowski B, et al. TFOS DEWS II Sex, Gender, and Hormones Report. Ocul Surf. 2017;15(3):284-333. doi: 10.1016/j.jtos.2017.04.001.
32. 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(2):179-85. doi: 10.4103/2141-9248.129028.
33. Schiefer U, Kraus C, Baumbach P, Ungewiß J, Michels R. Refractive errors. Dtsch Ärztebl Int. 2016;113(41):693-702. doi: 10.3238/ arztebl.2016.0693.
34. Charman WN. Developments in the correction of presbyopia I: spectacle and contact lenses. Ophthalmic Physiol Opt J Br Coll Ophthalmic Opt Optom. 2014;34(1):8-29. doi: 10.1111/opo.12091.
35. Zhang W, McLeod C, Koehoorn M. The relationship between chronic conditions and absenteeism and associated costs in Canada. Scand J Work Environ Health. 2016;42(5):413-22. doi: 10.5271/sjweh.3583.
36. Jinnett K, Schwatka N, Tenney L, Brockbank CV, Newman LS. Chronic Conditions, Workplace Safety, And Job Demands Contribute To Absenteeism And Job Performance. Health Aff (Millwood). 2017;36(2):237-44. doi: 10.1377/hlthaff.2016.1151.
Downloads
Published
Issue
Section
License
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional.
Aquellos autores/as que tengan publicaciones con esta revista, aceptan los términos siguientes:
- Los autores/as conservarán sus derechos de autor y garantizarán a la revista el derecho de primera publicación de su obra, el cuál estará simultáneamente sujeto a la Licencia de reconocimiento de Creative Commons que permite a terceros compartir la obra siempre que se indique su autor y su primera publicación esta revista.
- Los autores/as podrán adoptar otros acuerdos de licencia no exclusiva de distribución de la versión de la obra publicada (p. ej.: depositarla en un archivo telemático institucional o publicarla en un volumen monográfico) siempre que se indique la publicación inicial en esta revista.
- Se permite y recomienda a los autores/as difundir su obra a través de Internet (p. ej.: en archivos telemáticos institucionales o en su página web) antes y durante el proceso de envío, lo cual puede producir intercambios interesantes y aumentar las citas de la obra publicada. (Véase El efecto del acceso abierto).
How to Cite
1.png)
.png){kind=logo}
