Abstract:AIM:To evaluate the relationship between dry eye disease(DED)and physical and mental health in teachers, and to explore its mechanism and propose intervention measures.
METHODS:Cross-sectional study. A total of 183 teachers from three primary and secondary schools in the urban area of Linyi City, Shandong Province were enrolled in the study. DED symptoms were quantified using the ocular surface disease index(OSDI)questionnaire. A compact version of the depression, anxiety, and stress scale(DASS-21)was used to evaluate psychological state. The relationship between potential influencing factors and DED was evaluated by independent sample t-test of quantitative variables and χ2test of classified variables. Logistic regression analysis was used for multivariate analysis to determine the influencing factors of DED. Pearson correlation coefficient was used to analyze the correlation between OSDI score and depression, anxiety and stress.
RESULTS: There were 183 teachers, including 44 males(24.0%)and 139 females(76.0%), aged from 22 to 57 years, with an average age of(34.2±8.6)years. The prevalence of DED was 60.0%(109/183; 95%CI 52.4%-66.7%). The prevalence of depression was 26.2%(48/183; 95%CI 19.8%-32.7%); anxiety prevalence was 39.3%(72/183; 95%CI 32.2%-46.5%); and stress prevalence was 23.0%(42/183; 95%CI 16.8%-29.1%). The univariate analysis showed that increased age, increased working years, increased visual display terminal(VDT)application time, longer written working hours, reduced sleep hours, less alcohol consumption, and high scores of depression, anxiety and stress were all factors affecting DED(all P<0.05). Using depression scores as the psychological index, multivariate Logistic regression analysis showed that years of work, VDT application time, written working hours, sleep time, alcohol consumption and depression score were the influencing factors of DED(all P<0.05); Using anxiety scores as the psychological index, multivariate Logistic regression analysis showed that years of work, VDT application time, written working hours and stress scores were the influencing factors of DED(all P<0.05); Using stress scores as the psychological index, multivariate Logistic regression analysis showed that years of work, VDT application time, written working hours and stress scores were the influencing factors of DED(all P<0.05). OSDI scores were positively correlated with depression, anxiety, and stress scores in the DED group(P<0.05)and across all participants(P<0.05). In the severe DED group, OSDI scores were positively related to depression, anxiety, and stress scores(P<0.05).
CONCLUSION: The prevalence of DED is high among the teachers. Alcohol consumption, reduced sleep, longer working years, longer VDT usage and longer written working hours are the influencing factors of DED. In severe DED group, DED is highly correlated with depression, anxiety, and stress. We should pay attention to teachers' DED and related physical and mental health problems, and actively prevent and make early diagnosis and treatment.