Skip to main content

Advertisement

Log in

Prevalence of dry eye in video display terminal users: a cross-sectional Caucasian study in Italy

  • Original Paper
  • Published:
International Ophthalmology Aims and scope Submit manuscript

Abstract

Purpose

To estimate the prevalence of dry eye among video-terminal (VDT) users and to assess risk factors for dry eye in this population.

Study design

A single-centre, cross-sectional study was carried out on subjects employed as VDT workers and on a control group.

Methods

Demographic data, years spent working at a VDT, number of effective hours at VDT/day, number and hours of breaks/day were considered. All subjects underwent a complete ophthalmic examination and completed the Italian version of the computer vision symptom scale 17-item (CVSS17) questionnaire. Both groups were classified as definite, suspect and non-dry eye syndrome (DES).

Results

One-hundred and ninety four subjects completed the study; 70 (36.1%) of which represented the control group, and 124 (63.9%) represented the VDT group. Among VDT workers, 29 (23.4%) presented definite DES and 55 (44.4%) suspect DES, while among controls, only 2 (2.9%) presented definite DES and 37 (52.8%) suspect DES. In the univariate analysis, the DES group was older (p < 0.001), spent more time a day at VDT (p < 0.001), used VDT from more time (p < 0.001), instilled artificial tears (p = 0.031), and presented worst quality of life (p < 0.001). At the multivariate analysis, only age and time at VDT retained association with DES (OR 1.05; 95% CI 1.01–1.09; p = 0.01 and OR 1.57; 95% CI 1.07–2.02; p = 0.017, respectively).

Conclusions

The global increase of VDT workers is accompanied by a higher frequency of ocular complaints. Older subjects and people spending more than 4 h a day at VDT are at major risk to develop DES and should take precautions to prevent the onset of the disease.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Nakaishi H, Yamada Y (1999) Abnormal tear dynamics and symptoms of eyestrain in operators of visual display terminals. Occup Environ Med 56:6–9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Sheedy J (2002) What’s in a name: “computer vision syndrome”? Optometry 73:399–402

    PubMed  Google Scholar 

  3. Blehm CS, Vishnu S, Khattak A et al (2005) Computer vision syndrome: a review. Surv Ophthalmol 50:253–262

    Article  Google Scholar 

  4. Craig JP, Nelson JD, Azar DT et al (2017) TFOS DEWS II report executive summary. Ocular Surf 15:802–812. https://doi.org/10.1016/j.jtos.2017.08.003

    Article  Google Scholar 

  5. Stapleton F, Alves M, Bunya VY et al (2017) TFOS DEWS II report epidemiology report. Ocular Surf 15:334–365

    Article  Google Scholar 

  6. Moss SE, Klein R, Klein BE (2000) Prevalence of and risk factors for dry eye syndrome. Arch Ophthalmol 118:1264–1268

    Article  CAS  PubMed  Google Scholar 

  7. Tsubota K, Nakamori K (1993) Dry eyes and video display terminals. N Engl J Med 328:584

    Article  CAS  Google Scholar 

  8. Wu H, Wang Y, Dong N et al (2014) Meibomiam gland dysfunction determines the severity of the dry eye conditions in visual display terminal workers. PLoS ONE 9:e105575

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Gonzalez-Perez M, Susi R, Antona B, Barrio A, Gonzalez E (2014) The computer-vision symptom scale (CVSS17): development and initial validation. Investig Ophthalmol Vis Sci 55:4504–4511

    Article  Google Scholar 

  10. Lemp MA, Bron AJ, Baudouin C, Benitez Del Castillo JM, Geffen D, Tauber J et al (2011) Tear osmolarity in the diagnosis and management of dry eye disease. Am J Ophthalmol 151:792–798

    Article  PubMed  Google Scholar 

  11. Peterson RC, Wolffsohn JS, Fowler CW (2006) Optimization of anterior eye fluorescein viewing. Am J Ophthalmol 142:572e5

    Article  Google Scholar 

  12. Whitcher JP, Shiboski CH, Shiboski SC, Heidenreich AM, Kitagawa K, Zhang S et al (2010) A simplified quantitative method for assessing keratoconjunctivitis sicca from the Sjogren’s syndrome international registry. Am J Ophthalmol 149:405–415

    Article  PubMed  Google Scholar 

  13. Rossi G, Pasinetti GM, Scudeller L, Raimondi M et al (2013) Risk factors to develop ocular surface disease in treated glaucoma or ocular hypertension patients. Eur J Ophthalmol 23:296–302

    Article  PubMed  Google Scholar 

  14. Brewitt H, Sistani F (2001) Dry eye disease: the scale of the problem. Surv Ophthalmol 45:S199–S202

    Article  PubMed  Google Scholar 

  15. Randolph SA (2017) Computer vision syndrome. Workplace Health Saf 65:328

    Article  PubMed  Google Scholar 

  16. Munshi S, Varghese A, Dhar-Munshi S (2017) Computer vision syndrome-a common cause of unexplained visual symptoms in the modern era. Int J Clin Pract 71:e12962

  17. Labetoulle M, Rolando M, Baudouin C, van Setten G (2016) Patients’ perception of DED and its relation with time to diagnosis and quality of life: an international and multilingual survey. Br J Ophthalmol. https://doi.org/10.1136/bjophthalmol-2016-309193

    Article  PubMed  PubMed Central  Google Scholar 

  18. Nichols KK, Bacharach J, Holland E et al (2016) Impact of dry eye disease on work productivity, and patients’ satisfaction with over-the-counter dry eye treatments. Investig Ophthalmol Vis Sci 57:2975–2982

    Article  CAS  Google Scholar 

  19. Uchino M, Uchino Y, Dogru M et al (2014) Dry eye disease and work productivity loss in visual display users: the Osaka study. Am J Ophthalmol 157:294–300

    Article  PubMed  Google Scholar 

  20. Courtin R, Pereira B, Naughton G et al (2016) Prevalence of dry eye disease in visual display terminal workers: a systematic review and meta-analysis. BMJ Open 14(6):e009675

    Article  Google Scholar 

  21. Kawashima M, Yamatsuji M, Yokoi N et al (2015) Screening of dry eye disease in visual display terminal workers during occupational health examinations: the Moriguchi study. J Occup Health 57:253–258

    Article  PubMed  Google Scholar 

  22. Uchino M, Yokoi N, Uchino Y et al (2013) Prevalence of dry eye disease and risk factors in visual display terminal users: the Osaka study. Am J Ophthalmol 156:759–766

    Article  Google Scholar 

  23. Sullivan BD, Crews LA, Sonmez B et al (2012) Clinical utility of objective tests for dry eye disease: variability over time and implications for clinical trials and disease management. Cornea 31:1000–1008

    Article  PubMed  Google Scholar 

  24. Sriprasert I, Warren DW, Mircheff AK, Stanczyk FZ (2016) Dry eye in postmenopausal women: a hormonal disorder. Menopause 23:343–351

    Article  PubMed  Google Scholar 

  25. Shimazaki-Den S, Dogru M, Higa K, Shimazaki J (2013) Symptoms, visual function, and mucin expression of eyes with tear film instability. Cornea 32:1211–1218

    Article  PubMed  Google Scholar 

  26. Woodward AM, Senchyna M, Argueso P (2012) Differential contribution of hypertonic electrolytes to corneal epithelial dysfunction. Exp Eye Res 100:98–100

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gemma Caterina Maria Rossi.

Ethics declarations

Conflict of interest

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Local Ethics Committee of the IRCCS Policlinico San Matteo Foundation of Pavia) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rossi, G.C.M., Scudeller, L., Bettio, F. et al. Prevalence of dry eye in video display terminal users: a cross-sectional Caucasian study in Italy. Int Ophthalmol 39, 1315–1322 (2019). https://doi.org/10.1007/s10792-018-0947-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10792-018-0947-6

Keywords

Navigation