Karakteristik gejala Computer Vision Syndrom (CVS) pada pekerja bidang pendidikan

Abstract

BACKGROUND
The frequency and duration of using electronic devices have increased
rapidly due to working from home during the Covid19 pandemic. This
causes many complaints of vision such as tired eyes, heat, blur, foreign
body sensation in the eyes and various other symptoms. All of these
are known as Computer Vision Syndrome (CVS) symptoms, which
could happen in and/or outside the eye. This study aims to analyze the
relationship between the use of electronic devices with CVS symptoms
felt by employees of the Faculty of Medicine, Universitas Trisakti,
Jakarta.

METHODS
Fifty-three employees aged 25-60; were recruited for this cross-sectional
study. A complete questionnaire consisting of several questions, including
the type and number of electronic devices used, how many hours of use
in a day, and complaints felt when using electronic devices, was applied
to determine the CVS symptoms. In addition, a visual inspection was
conducted to determine the visual acuity. Fisher's exact test was used for
analyzing the statistics.

RESULTS
More than half of the subjects (52.8%) used 3-4 electronic devices for
more than 6 hours daily (56.6%). Multiple CVS symptoms were complaint
by 52.83% of subjects, such as tired eyes, blurred vision, and dry eyes
observed in 71.7%, 45.3%, and 33.9% of subjects, respectively. Bivariate
analysis using Fisher's exact test assessed the relationship between risk
factors, such as the use of electronic devices, gender, age, number of
electronic devices used, duration of usage in a day, visual acuity, and
the incidence of CVS complaints. There was no significant relationship
between the various risk factors with CVS complaints, indicated by
p>0.05 in all variables.

CONCLUSION
Users of electronic devices often feel various complaints in their eyes
when using these devices. Although there was no association between the
risk factors studied and complaints of CVS, it is still critical to investigate
other factors that may be associated with the incidence of CVS due to its
multifactorial pathogenesis.

KEYWORDS: Computer Vision Syndrom, CVS, Electronic Devices,
Vision