OBJECTIVE: To analyze and explore the epidemiological characteristicss and related factors for visual fatigue among university students in Haidian District of Beijing. METHODS: The investigation with questionnaires was conducted in 2 246 undergraduates and postgraduates from four universities in Haidian District by multi-level stratified cluster sampling. Factor analysis and multivariate Logistic regression model were conducted to explore the related factors for visual fatigue. RESULTS: Among the university students, the total prevalence rate of visual fatigue was 64.9%, and the prevalence rates of males, females, undergraduates and postgraduates were 65.1%, 64.7%, 58.9% and 75.7%, respectively. The result of multivariate logistic regression analysis showed that bad living environment conditions, improper computer use and bad health status were significantly associated with increased risk of visual fatigue, the ORs (95% CI) were 1.185 (1.078, 1.302), 1.490 (1.355, 1.640) and 1.323 (1.182, 1.481), respectively; good sleep and mental status, good psycho-social state, and good factors of habits and diets might be protective against visual fatigue, the ORs (95% CI) were 0.691 (0.628, 0.760), 0.793 (0.720, 0.873) and 0.649 (0.587, 0.717), respectively. CONCLUSION: The university students showed higher prevalence rate of visual fatigue. Psychological state, environment, health status, diets and habits were related to the development of visual fatigue. Health education should be strengthened among university students to prevent the adverse effects of visual fatigue on their health.
OBJECTIVE: To analyze and explore the epidemiological characteristicss and related factors for visual fatigue among university students in Haidian District of Beijing. METHODS: The investigation with questionnaires was conducted in 2 246 undergraduates and postgraduates from four universities in Haidian District by multi-level stratified cluster sampling. Factor analysis and multivariate Logistic regression model were conducted to explore the related factors for visual fatigue. RESULTS: Among the university students, the total prevalence rate of visual fatigue was 64.9%, and the prevalence rates of males, females, undergraduates and postgraduates were 65.1%, 64.7%, 58.9% and 75.7%, respectively. The result of multivariate logistic regression analysis showed that bad living environment conditions, improper computer use and bad health status were significantly associated with increased risk of visual fatigue, the ORs (95% CI) were 1.185 (1.078, 1.302), 1.490 (1.355, 1.640) and 1.323 (1.182, 1.481), respectively; good sleep and mental status, good psycho-social state, and good factors of habits and diets might be protective against visual fatigue, the ORs (95% CI) were 0.691 (0.628, 0.760), 0.793 (0.720, 0.873) and 0.649 (0.587, 0.717), respectively. CONCLUSION: The university students showed higher prevalence rate of visual fatigue. Psychological state, environment, health status, diets and habits were related to the development of visual fatigue. Health education should be strengthened among university students to prevent the adverse effects of visual fatigue on their health.