Effect of digital device use during COVID-19 on digital eye strain

Background This study aimed to evaluate the COVID-19 isolation's impact on digital device use by comparing hours spent on digital devices before and during the 24-hour curfew in Saudi Arabia, while assessing the symptoms associated with digital eye strain. Methods A self-reported questionnaire was used to compare the total hours per day, either continuous or intermittent, spent on digital devices during and before curfew, and the association of these durations with digital eye strain. Results A total of 1,939 participants, (mean +/- SD: 33 +/- 12.2 years and 72% women) were recruited. Results showed a significant difference between usage duration before and during curfew. Digital eye strain incidence was 78% during the curfew. Chi-squared analysis indicated most symptoms are associated with usage duration and employment status. Multivariate analysis revealed significant associations between digital eye strain and the following factors: using more than one device (odds ratio 1.208, 95% confidence interval: 1.068-1.3661), age, optical correction, employment status, gender, using rewetting drops, and usage duration. Conclusions In this population, prolonged use of digital devices significantly increased during home-isolation. Digital eye strain incidence increased during curfew. Regular eye exams should be encouraged to ensure the use of optimum prescription use and meet the specific visual demands required for the use of digital devices. Eye-health strategies and awareness campaigns should be employed on the importance of regular eye exams, decreasing screen time, practising the 20-20-20 rule, and the use of rewetting drops to help reduce the symptoms of digital eye strain during this period.

Automated summary

This study evaluated the impact of COVID-19 isolation on digital device use and digital eye strain symptoms. The results showed a significant increase in digital device usage and digital eye strain incidence during the curfew period. Factors such as using multiple devices, age, employment status, and gender were significantly associated with digital eye strain.