目的：调查不同气候区计算机从业人员的干眼症状检出率，并分析导致干眼发生的危险因素。

方法：横断面研究。于2023年12月至2024年1月向3个不同气候区的6个地级市的计算机从业者发放调查问卷。使用混合效应Logistic回归分析，探究环境因素与干眼严重程度的相关性。环境因素包括气象与空气污染物数据，分别来源于国家气象信息中心和中国空气质量在线监测分析平台。以各类环境参数的年平均值为自变量，参与者眼表疾病指数(OSDI)得分为因变量进行上述回归分析。

结果：本研究最终纳入参与者364名，年龄18-50岁，均为男性，出现干眼症状人数80例，干眼症状检出率为22.0%。不同地区间干眼症状的检出率有显著差异(P<0.05)。进一步混合效应Logistic回归分析提示，干眼的危险因素有每日用眼时间(P<0.001，OR=1.669)、相对湿度(P=0.047，OR=1.237)、NO₂浓度(P=0.042，OR=1.283)、PM2.5浓度(P=0.006，OR=1.485)、CO浓度(P=0.018，OR=1.388)，保护因素有气温(P=0.003，OR=0.701)。

结论：气象条件和空气质量对于男性计算机从业者干眼症状的发生有着显著影响，应当针对不同地区环境特征展开干眼的预防和治疗，为相关从业人员的眼表健康提供保障。

METHODS: A cross-sectional study was conducted by distributing questionnaires from December 2023 to January 2024 to computer professionals in six prefecture-level cities located in three distinct climate zones. Mixed-effects logistic regression analysis was employed to explore the relationship between environmental factors and the severity of dry eye disease. Environmental factors, including meteorological parameters and air pollutant concentrations, were obtained from the National Meteorological Information Center and the China Air Quality Online Monitoring and Analysis Platform, respectively. The annual mean values of environmental parameters served as independent variables, while the participants' Ocular Surface Disease Index(OSDI)scores were used as the dependent variable in the regression analysis.

RESULTS:A total of 364 male participants aged 18-50 y were enrolled in this study. Among them, 80 participants presented with dry eye symptoms, corresponding to a detection rate of 22.0%.There was a significant difference in the detection rate of dry eye symptoms across different regions(P<0.05). Mixed-effects logistic regression analysis identified the following risk factors: daily eye use time(P<0.001, OR=1.669), relative humidity(P=0.047,OR=1.237), NO₂ concentration(P=0.042, OR=1.283), PM2.5 concentration(P=0.006,OR=1.485), and CO concentration(P=0.018, OR=1.388). Temperature was found to be a protective factor(P=0.003, OR=0.701).

CONCLUSION: Meteorological conditions and air quality significantly influence the occurrence of dry eye symptoms in male computer professionals. Prevention and treatment strategies for dry eye diseases should be tailored to the environmental characteristics of different regions to protect the ocular surface health of this occupational group.