Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 12, Issue 4 (Autumn 2023)
J Occup Health Epidemiol 2023, 12(4): 278-288 |
Back to browse issues page
Ethics code: IR.SBMU.RETECH.REC.1401.868
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Abbaslou H, Alaei Z, Safari M, Alboghobeish A, Salehi Sahlabadi A. The Effect of Computer Vision Syndrome on Sleep Quality in Users of Digital Displays: A Systematic Review. J Occup Health Epidemiol 2023; 12 (4) :278-288
URL: http://johe.rums.ac.ir/article-1-757-en.html
URL: http://johe.rums.ac.ir/article-1-757-en.html
Related article in
Google Scholar
Google Scholar
Similar articles
1- M.Sc. in Occupational Health Engineering, Dept. of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
2- Assistant Prof., Dept. of Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Ph.D. Student in Occupational Health, Dept. of Occupational Health and Safety at Work, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
4- Assistant Prof., Safety Promotion and Injury Prevention Research Center, Dept. of Occupational Health and Safety at Work, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. , asalehi529@gmail.com
2- Assistant Prof., Dept. of Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Ph.D. Student in Occupational Health, Dept. of Occupational Health and Safety at Work, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
4- Assistant Prof., Safety Promotion and Injury Prevention Research Center, Dept. of Occupational Health and Safety at Work, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. , asalehi529@gmail.com
Article history
Received: 2023/06/10
Accepted: 2023/10/8
ePublished: 2023/12/15
Accepted: 2023/10/8
ePublished: 2023/12/15
Subject:
Occupational Health
Abstract: (122 Views)
Background: The increased use of digital devices has led to a rise in computer vision syndrome (CVS), particularly with remote work and online learning. Prolonged screen use also negatively impacts sleep quality. This paper aims to review existing research on the association between CVS and sleep quality in digital screen users.
Material and Method: The study conducted a literature search across various databases using specified terms to find articles on the association between computer vision syndrome (CVS) and sleep quality among digital device users. The search was limited to articles published between 1900 and 2023 and followed the PRISMA guidelines for systematic reviews. Scopus, PubMed, Web of Science, and Google Scholar databases were searched for relevant articles. The inclusion criteria involved original research concurrently examining sleep quality and CVS, published in English or Persian language scientific journals.
Results: The eligibility of the entire texts of 52 articles was assessed, resulting in 17 cross-sectional studies that met the inclusion criteria for this review. A significant correlation exists between eye discomfort and poor sleep quality (p<0.05), with individuals experiencing CVS frequently reporting disrupted sleep. Moreover, reduced sleep duration is significantly associated with the severity of eye problems (p= 0.001). Furthermore, the time spent using digital screens is also related to CVS and sleep quality.
Conclusions: Excessive electronic device use has caused an increase in Computer Vision Syndrome (CVS) and worsened sleep quality due to prolonged screen time and exposure to blue light. To mitigate these issues, limiting screen time and using protective measures to reduce blue light exposure is crucial, as they can affect cognitive and physical performance.
Material and Method: The study conducted a literature search across various databases using specified terms to find articles on the association between computer vision syndrome (CVS) and sleep quality among digital device users. The search was limited to articles published between 1900 and 2023 and followed the PRISMA guidelines for systematic reviews. Scopus, PubMed, Web of Science, and Google Scholar databases were searched for relevant articles. The inclusion criteria involved original research concurrently examining sleep quality and CVS, published in English or Persian language scientific journals.
Results: The eligibility of the entire texts of 52 articles was assessed, resulting in 17 cross-sectional studies that met the inclusion criteria for this review. A significant correlation exists between eye discomfort and poor sleep quality (p<0.05), with individuals experiencing CVS frequently reporting disrupted sleep. Moreover, reduced sleep duration is significantly associated with the severity of eye problems (p= 0.001). Furthermore, the time spent using digital screens is also related to CVS and sleep quality.
Conclusions: Excessive electronic device use has caused an increase in Computer Vision Syndrome (CVS) and worsened sleep quality due to prolonged screen time and exposure to blue light. To mitigate these issues, limiting screen time and using protective measures to reduce blue light exposure is crucial, as they can affect cognitive and physical performance.
Keywords: Vision Disorders [MeSH], Digital Screens [MeSH], Sleep Quality [MeSH], Systematic Review [MeSH]
References
1. Fernández C, Argilés M, Pérez-CabréS E, Cardona G. Spectral radiance of blue light filters on ophthalmic lenses. Opt Pura Apl. 2017;50(2):165-72. [DOI]
2. Patil A, Bhavya, Chaudhury S, Srivastava S. Eyeing computer vision syndrome: Awareness, knowledge, and its impact on sleep quality among medical students. Ind Psychiatry J. 2019;28(1):68-74. [DOI] [PMID] [PMCID]
3. Wangsan K, Upaphong P, Assavanopakun P, Sapbamrer R, Sirikul W, Kitro A, et al. Self-Reported Computer Vision Syndrome among Thai University Students in Virtual Classrooms during the COVID-19 Pandemic: Prevalence and Associated Factors. Int J Environ Res Public Health. 2022;19(7):3996. [DOI] [PMID] [PMCID]
4. World Health Organization. Advice for the Public: Coronavirus disease (COVID-19). Geneva, Switzerland: World Health Organization; 2023. [Report]
5. Roy S, Sharif AB, Chowdhury S, Iktidar MA. Unavoidable online education due to COVID-19 and its association to computer vision syndrome: a cross-sectional survey. BMJ Open Ophthalmol. 2022;7(1):e001118. [DOI] [PMCID]
6. Munsamy AJ, Naidoo S, Akoo T, Jumna S, Nair P, Zuma S, et al. A case study of digital eye strain in a university student population during the 2020 COVID-19 lockdown in South Africa: evidence of an emerging public health issue. J Public Health Afr. 2022;13(3):2103. [DOI] [PMID] [PMCID]
7. Kim J, Hwang Y, Kang S, Kim M, Kim TS, Kim J, et al. Association between Exposure to Smartphones and Ocular Health in Adolescents. Ophthalmic Epidemiol. 2016;23(4):269-76. [DOI] [PMID]
8. Ahmad AA, Alshehri BF, Almalki AM, Albaradi AM, Almalki MS, Alattas KY. Eyeing computer vision syndrome: Awareness, knowledge, and its impact on sleep quality among health sciences students during the COVID-19 pandemic in Taif, Kingdom of Saudi Arabia. Int J Med Dev Ctries. 2021;5(9):1647-54. [DOI]
9. Akowuah PK, Nti AN, Ankamah-Lomotey S, Frimpong AA, Fummey J, Boadi P, et al. Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population. Adv Public Health. 2021;2021:6611348. [DOI]
10. Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, 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. [DOI] [PMID] [PMCID]
11. Charpe NA, Kaushik V. Computer vision syndrome (CVS): recognition and control in software professionals. J Hum Ecol. 2009;28(1):67-9. [DOI]
13. Gowrisankaran S, Sheedy JE. Computer vision syndrome: A review. Work. 2015;52(2):303-14. [DOI] [PMID]
15. Sánchez-Brau M, Domenech-Amigot B, Brocal-Fernández F, Quesada-Rico JA, Seguí-Crespo M. Prevalence of computer vision syndrome and its relationship with ergonomic and individual factors in presbyopic VDT workers using progressive addition lenses. Int J Environ Res Public Health. 2020;17(3):1003. [DOI] [PMID] [PMCID]
16. Boadi-Kusi SB, Abu SL, Acheampong GO, Adueming PO, Abu EK. Association between poor ergophthalmologic practices and computer vision syndrome among university administrative staff in Ghana. J Environ Public Health. 2020;2020:7516357. [DOI] [PMID] [PMCID]
17. Bahkir FA, Grandee SS. Impact of the COVID-19 lockdown on digital device-related ocular health. Indian J Ophthalmol. 2020;68(11):2378-83. [DOI] [PMID] [PMCID]
18. Singh S, Anderson AJ, Downie LE. Insights into Australian optometrists’ knowledge and attitude towards prescribing blue light-blocking ophthalmic devices. Ophthalmic Physiol Opt. 2019;39(3):194-204. [DOI] [PMID]
19. Smaldone A, Honig JC, Byrne MW. Sleepless in America: inadequate sleep and relationships to health and well-being of our nation's children. Pediatrics. 2007;119 Suppl 1:S29-37. [DOI] [PMID]
20. Stringham JM, Stringham NT, O’Brien KJ. Macular carotenoid supplementation improves visual performance, sleep quality, and adverse physical symptoms in those with high screen time exposure. Foods. 2017;6(7):47. [DOI] [PMID] [PMCID]
21. Hansraj KK. Assessment of stresses in the cervical spine caused by posture and position of the head. Surg Technol Int. 2014;25:277-9. [PMID]
22. Toomingas A, Hagberg M, Heiden M, Richter H, Westergren KE, Tornqvist EW. Risk factors, incidence and persistence of symptoms from the eyes among professional computer users. Work. 2014;47(3):291-301. [DOI] [PMID]
23. Porcar E, Pons AM, Lorente A. Visual and ocular effects from the use of flat-panel displays. Int J Ophthalmol. 2016;9(6):881-5. [DOI] [PubMed] [PMCID]
24. Chen J, Liang Y, Mai C, Zhong X, Qu C. General deficit in inhibitory control of excessive smartphone users: Evidence from an event-related potential study. Front Psychol. 2016;7:511. [DOI] [PMID] [PMCID]
25. Lakshmi V. Progress of medical undergraduates to an era of computer vision syndrome and insomnia as an aftermath of increased digitalization during covid-19 pandemic. Eur J Mol Clin Med. 2020;7(11):8225-33. [Article]
26. Tsou MT. Influence of Prolonged Visual Display Terminal Use on Physical and Mental Conditions among Health Care Workers at Tertiary Hospitals, Taiwan. Int J Environ Res Public Health. 2022;19(7):3770. [DOI] [PMID] [PMCID]
27. Talens-Estarelles C, Garcia-Marques JV, Cervino A, Garcia-Lazaro S. Dry Eye-Related Risk Factors for Digital Eye Strain. Eye Contact Lens. 2022;48(10):410-5. [DOI] [PMID]
28. Liu B, Jiang S, Li Z, Wang Y, Zhou D, Chen Z. Investigation and Analysis of Eye Discomfort Caused by Video Display Terminal Use Among Medical Students Studying at High-Altitude Regions. Front Public Health. 2022;10:900539. [DOI] [PMID] [PMCID]
29. Al Subaie M, Al-Dossari S, Bougmiza M. Computer vision syndrome among mobile phone users in Al-Ahsa, Kingdom of Saudi Arabia. Al-Basar Int J Ophthalmol. 2017;4(4):99-103. [Article] [DOI]
30. Li L, Zhang J, Chen M, Li X, Chu Q, Jiang R, et al. Contribution of total screen/online-course time to asthenopia in children during COVID-19 pandemic via influencing psychological stress. Front Public Health. 2021;9:736617. [DOI] [PMID] [PMCID]
31. Cacodcar JA, Raiturcar TP, Fernandes RRC, Dessai SR, Kantak VS, Naik R. Knowledge, attitudes and practices of computer vision syndrome among medical students in Goa. Epidemiol Int. 2021;6(1):9-14. [DOI]
32. Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: a review. Surv Ophthalmol. 2005;50(3):253-62. [DOI] [PMID]
33. Mowatt L, Gordon C, Santosh ABR, Jones T. Computer vision syndrome and ergonomic practices among undergraduate university students. Int J Clin Pract. 2018;72(1). [DOI] [PMID]
34. Chidi-Egboka NC, Briggs NE, Jalbert I, Golebiowski B. The ocular surface in children: a review of current knowledge and meta-analysis of tear film stability and tear secretion in children. Ocul Surf. 2019;17(1):28-39. [DOI] [PMID]
35. Prabhasawat P, Pinitpuwadol W, Angsriprasert D, Chonpimai P, Saiman M. Tear film change and ocular symptoms after reading printed book and electronic book: a crossover study. Jap J Ophthalmol. 2019;63(2):137-44. [DOI] [PMID]
36. OCL Vision. The effects of computer use eye health and vision. London, United Kingdom: OCL Vision; 2017.
38. Schlote T, Kadner G, Freudenthaler N. Marked reduction and distinct patterns of eye blinking in patients with moderately dry eyes during video display terminal use. Graefes Arch Clin Exp Ophthalmol. 2004;242(4):306-12. [DOI] [PMID]
39. Hale L, Kirschen GW, LeBourgeois MK, Gradisar M, Garrison MM, Montgomery-Downs H, et al. Youth screen media habits and sleep: sleep-friendly screen behavior recommendations for clinicians, educators, and parents. Child Adolesc Psychiatr Clin N Am. 2018;27(2):229-45. [DOI] [PMID] [PMCID]
40. Bauer M, Glenn T, Monteith S, Gottlieb JF, Ritter PS, Geddes J, et al. The potential influence of LED lighting on mental illness. World J Biol Psychiatry. 2018;19(1):59-73. [DOI] [PMID]
41. Gooley JJ, Lu J, Chou TC, Scammell TE, Saper CB. Melanopsin in cells of origin of the retinohypothalamic tract. Nat Neurosci. 2001;4(12):1165. [DOI] [PMID]
42. Benarroch EE. Suprachiasmatic nucleus and melatonin: reciprocal interactions and clinical correlations. Neurology. 2008;71(8):594-8. [DOI] [PMID]
43. Moderie C, Van der Maren S, Dumont M. Circadian phase, dynamics of subjective sleepiness and sensitivity to blue light in young adults complaining of a delayed sleep schedule. Sleep Med. 2017;34:148-55. [DOI] [PMID]
44. Vickers NJ. Animal communication: when i’m calling you, will you answer too? Curr Biol. 2017;27(14):R713-5. [DOI] [PMID]
45. Thomée S, Härenstam A, Hagberg M. Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults-a prospective cohort study. BMC Public Health. 2011;11:66. [DOI] [PMID] [PMCID]
46. Talens-Estarelles C, García-Marqués JV, Cerviño A, García-Lázaro S. Dry Eye–Related Risk Factors for Digital Eye Strain. Eye Contact Lens. 2022;48(10):410-5. [DOI] [PMID]
47. 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. [DOI] [PMID] [PMCID]
48. Lee W, Lim SS, Won JU, Roh J, Lee JH, Seok H, et al. The association between sleep duration and dry eye syndrome among Korean adults. Sleep Med. 2015;16(11):1327-31. [DOI] [PMID]
49. Lee YB, Koh JW, Hyon JY, Wee WR, Kim JJ, Shin YJ. Sleep deprivation reduces tear secretion and impairs the tear film. Invest Ophthalmol Vis Sci. 2014;55(6):3525-31. [DOI] [PMID]
50. Akiki M, Obeid S, Salameh P, Malaeb D, Akel M, Hallit R, et al. Association Between Computer Vision Syndrome, Insomnia, and Migraine Among Lebanese Adults: The Mediating Effect of Stress. Prim Care Companion CNS Disord. 2022;24(4):21m03083. [DOI] [PMID]
51. 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] [PMID] [PMCID]
52. Hesam G, Aliabadi M, Farhadian M, Afshari Doust V. Stydy of ergonomic conditions in use of visual monitors and its relation to subjective feeling of fatigue in master science students of Hamadan University of medical science. Iran J Ergon. 2013;1(2):1-9. [Article]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
