大学生干眼影响因素的二元Logistic回归分析

Binary Logistic Regression Analysis on Influencing Factors of Dry Eye of College Students

为了调查在校大学生干眼情况,探讨影响大学生干眼的相关因素,为预防和治疗大学生干眼提供一定的理论依据.采用横断面调查方式,随机收集1307名在校大学生的基本信息、生活习惯、用眼习惯及眼表疾病指数(OSDI)量表,进一步检查有干眼相关症状的大学生,并进行干眼诊断.通过单因素分析(χ^(2)检验)筛选影响因素,对差异有统计学意义的影响因素进行二元Logistic回归分析.结果表明:性别、入睡时间点、睡眠时间、饮食、运动及每日电子产品的使用时间等因素均对在校大学生的干眼有影响,其中,入睡时间点较迟的熬夜和长时间使用电子产品是大学生患干眼的主要影响因素.

In order to investigate the prevalence of dry eye in college students,the relevant factors affecting the dry eye of college students are explored,and a certain theoretical basis of the prevention and treatment of dry eye is provided.A cross-sectional survey is used to randomly collect the basic information,living habits,eye habits and ocular surface disease index(OSDI)scale forms of 1307 college students.The students with symptoms related to dry eye are further examined,and dry eye diagnosis are conducted.The influencing factors are screened by univariate analysis(χ^(2) test),and binary Logistic regression analysis is performed on the influencing factors with statistically significant differences.The results show that factors such as gender,falling asleep time,sleep time,diet,exercise,and daily use of electronic products all have an impact on the dry eye among college students.Among them,staying up late of fall asleep time and using electronic products for a long time are the main influencing factors for dry eyes among college students.