Objective: To investigate the current situation and associated factors of computer vision syndrome (CVS) among college freshmen in Tianjin during the COVID-19 epidemic, and to provide a reference for visual comfort of college students. Methods: A total of 868 college freshmen from one university in Tianjin were administered with CVS qualitative analysis questionnaire, eye health status questionnaire and eye health examination during Oct to Dec 2021. Chi square test and multivariate Logistic regression were used for data analysis. Results: The detection rate of CVS among the included students was 68.5% ( n =595) and was higher in females (72.2%) than in males (61.7%). The CVS detection rate in girls, students without myopia, >30 min sleep onset, >1 h mobile phone usage, and ≤8 h sleep duration (72.2%, 70.4%, 81.1%, 72.7%, 71.2%) were significantly higher than boys, students with low grade myopia, sleep onset required ≤30 min, use mobile phone for ≤1 h, and sleep duration >8 h(61.7%, 63.3 %, 67.4%, 65.9%, 61.1%) ( χ 2=10.08, 3.94, 5.89, 4.40, 7.94, P ＜0.05). Differences in CVS detection rates varied significantly by daily electronic device usage and academic stress students ( χ 2=22.03, 21.24, P ＜0.05). Multivariate Logistic regression analysis showed that daily use of electronic devices 4-6, 7-9, ≥10 h, sleep onset required >30 min, moderate to higher academic pressure were positively associated with CVS ( OR=1.95, 2.94, 2.30, 2.39, 3.51, 4.41, P ＜0.05), boys, low grade myopia, night sleep time >8 h were negatively associated with CVS ( OR=0.65, 0.70, 0.65, P ＜0.05). Conclusion The detection rate of CVS among freshmen in a university in Tianjing is high. Attention should be paid to the CVS situation of students with e learning, and general public should also be educated to reduce the time of unnecessary electronic product use and ensure night sleep to reduce the prevalence of CVS.