基于二元Logistic回归的近视群体影响因素分析

Analysis of Factors Influencing Myopia Status Based on Binary Logistic Regression

摘要: 设计近视状况与用眼行为习惯问卷，通过线上分发问卷的方式对山东省内高校大学生进行调查，经描述性统计获取大学生的近视率、近视度数分布以及用眼习惯的量化数据等。在完成单因素分析后，筛选出具有统计学差异的变量。为了排除混杂因素的影响，找到真正影响近视的独立因素，需要对经过筛选得到的具有统计学差异的变量展开二元Logistic回归分析。经过实证分析可以得到，长期近距离用眼、熬夜或睡眠质量不佳是近视的危险因素，其发生视力问题的几率分别是其他情况的2.36倍和3.92倍；而日常生活中有意识地注重保护视力是保护因素，为此，建议大学生调节用眼习惯、优化学习环境、积极进行户外运动、规律作息、均衡饮食，并加强学校视力监测和用眼保健知识普及，以防控近视。

Abstract: A questionnaire on the myopia status and eye-using behavior habits of college students is designed in this paper. The online questionnaire was administered to college students at universities located in Shandong Province. Through descriptive statistics, quantitative data such as the myopia rate, myopia degree distribution, and eye-using habits of college students were obtained. Variables with statistical differences were obtained through univariate analysis. To avoid the interference of confounding factors, binary Logistic regression analysis was performed on the selected variables with statistical differences to find the independent factors affecting myopia in college students. The empirical analysis shows that Long-term close-range eye use, staying up late, or poor sleep quality are risk factors for myopia. The probability of having vision problems is 2.36 times and 3.92 times that of other situations respectively. Conscious attention to vision protection in daily life are protective factors. Therefore, it is recommended that college students adjust their eye-using habits, optimize their learning environment, actively engage in outdoor sports, maintain regular work and rest, have a balanced diet, and strengthen school vision monitoring and the popularization of eye-care knowledge to prevent and control myopia.