Sleep Quality and Screen Time as The Most Influential Factor of Computer Vision Syndrome

Abstract

Background: Since the Covid-19 Pandemic hit Indonesia, college students have had many eye health complaints; one is Computer Vision Syndrome (CVS). Factors that can increase the risk of CVS are decreased sleep quality, high computer/laptop use duration, and a non-ergonomic position. This study aimed to prove the relationship between sleep quality, visibility, and screen time on the incidence of CVS in medical students of Diponegoro University.Method: This cross-sectional study, including 147 medical students was conducted using primary data from questionnaires of Wendy Strouse Watt, Thomas H Murphy, Hospitality Eye Care Center, and vsp.com to gain data on respondent identity, visibility, and screen time. Sleep quality data were taken from the PSQI and CVS data through the CVS-Q questionnaire. Chi-square, Mann-Whittney, and logistic regression of multivariate analysis were used to analyze the data.Results: From 147 subjects, 108 were CVS (73.5%), and 39 were Non-CVS (26.5%). Variables of sleep quality and screen time (total) showed a significant relationship with CVS, which had p-values of p=0.001 and p=0.009 (p<0.05). As for the visibility to CVS, there was no relationship with p=0.863. In the multivariate test, sleep quality (p=0.000; ExpB=4.342) and total screen time (p=0.006; ExpB=3.913) were the most influential variables. The results showed that Computer Vision Syndrome is ubiquitous among Diponegoro University's final-year medical students. Sleep quality and total screen time can increase the risk of CVS by four times. This study also shows that CVS still appears in the post-pandemic era.

Correlation Between Sleep Duration and Visual Acuity: A Single Center Study

“…[32], [33] In [34] Apparently, a study on sleep quality and screen time (the amount of time used by the eye to see the computer screen and mobile phone screen) also showed that it affects the incidence of computer vision syndrome (p = 0.001). [35] Based on several studies conducted, the family history of myopia also plays an essential role in the condition of visual acuity accompanied by activities related to the duration of gadget use (screen time), which can cause fatigue in the eye muscle and reduce the amount of sleep. [19], [36] Research in 2009, conducted on computer informatics engineering students analyzed the relationship between computer use and decreased visual acuity and revealed that there was a positive correlation of 32.1% between the two variables.…”