Abstract:
Due to the rapidly expanding use of computers in the workplace, Computer Vision Syndrome (CVS) has increased. However, there is a few study in such an area. Thus, the purpose of this study was to examine the prevalence rate, severity level and risk factors of Computer Vision Syndrome among employees working on Information Technology (IT). The sample consisted of 220 workers both males and females working with data on computers from a selected daily newpaper publisher. Data gathering methods were self-administered questionnaires, record forms, tape measure and Lux meter. The data were analyzed by frequency, percentage, rate, Chi-square test and Crude Odds Ration (OR) by 95% CI.The results revealed that the overall prevalence rate of Computer Vision Syndrome was 85%, namely, 82.5% for ocular surface prevalence; 80.5% for eye strain and tired eye prevalence; 66.8% for blurred vision prevalence; and 48.6% for double vision. The analysis of risk factors had showed that the host factors were eye's disease (OR = 1.20, 95% Confident Interval = 1.12-1.27), vision problem (OR = 11.84, 95% CI = 2.75-50.94), hours of being asleep (OR = 5.58, 95% CI = 1.64-18.98) and stress (OR = 2.40, 95% CI = 1.10-5.23). The agent factors were type of monitor (OR = 3.15, 95% CI = 1.47-6.76), color of visual display terminal (OR = 3.16, 95% CI = 1.48-6.76), bink of the alphabet (OR = 2.34, 95% CI = 1.01-5.45), work duration the daytime (OR = 3.52, 95% CI = 1.65-7.54), eyes resting (OR = 2.84, 95% CI = 1.17-6.86), distance between eyes and visual display terminal (OR = 3.45, 95% CI = 1.01-11.83) and The environment factors were statistically significant associated with contrast (OR = 8.45, 95% CI = 1.96-36.44) and glare on screen (OR = 4.09, 95% CI = 1.75-9.54).These findings suggest that employee who had inappropriate factors (host, agent and environment) would have more chance to risk of Computer Vision Syndrome than those who had appropriate factors. These provide basic information in order to monitor Computer Vision Syndrome in risk groups. These knowledge as a baseline in order to reduce prevalence rate and severity level of Computer Vision Syndrome.