Prevalence of dry eye during the COVID-19 pandemic: A systematic review and meta-analysis

PLoS One. 2023 Dec 13;18(12):e0288523. doi: 10.1371/journal.pone.0288523. eCollection 2023.

Abstract

Objective: During the COVID-19 pandemic, many people devoted longer time to screen viewing due to the need for study, work, and online social activities, instead of outdoor activities, which may have led to an increase in dry eye symptoms. This study aimed to evaluate the prevalence of dry eye during the COVID-19 pandemic.

Methods: PubMed, Cochrane Library, Embase, and Web of Science were searched from January 1, 2020 to October 20, 2022. Cross-sectional surveys on dry eye prevalence conducted after January 1, 2020 were included. Two review authors independently performed data extraction and assessed study quality. The random-effects model was used to analyze the prevalence of dry eye, and the odds ratio was used to assess the strength of the association between variables. Subgroup analysis was performed to detect heterogeneity, the leave-one-out method for sensitivity analysis, and the Egger test for publication bias.

Results: A total of eleven studies with 15692 individuals met the eligibility criteria. The prevalence of dry eye during the COVID-19 pandemic was 61.0% (95%CI: 51.8%-70.2%) globally and 56.7% (95%CI: 45.3%-68.1%) in Asia. The prevalence of dry eye had significant differences in sex and visual display time, with higher prevalence among females and visual display time of more than 4 hours per day. Subgroup analysis was performed based on diagnostic tools, study population, and average age. A significant difference was found in diagnostic tools, but no significant change in heterogeneity (P<0.05). The leave-one-out method showed stable results, and the Egger test identified no significant publication bias.

Conclusion: The prevalence of dry eye during the COVID-19 pandemic is significantly higher than before, and a higher prevalence is found among females and those having a visual display time of more than 4 hours per day.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • COVID-19* / epidemiology
  • Cross-Sectional Studies
  • Dry Eye Syndromes* / epidemiology
  • Female
  • Humans
  • Pandemics
  • Prevalence

Grants and funding

This work was supported by the National Natural Science Foundation of China (No. 81904302); Shanghai Municipal Health Commission (202040249; 20214Y0116); Natural Science Foundation of Shanghai (No. 21ZR1460100,22ZR1458500).