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视觉显示终端作业人员视疲劳与干眼的流行病学调查

[Epidemiological investigation of asthenopia and dry eye among visual display terminal workers].

作者信息

Yang L, Jin X, Huang W, He L, Chen J

机构信息

Department of Occupational & Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China.

Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2025 Jun 18;57(3):554-561. doi: 10.19723/j.issn.1671-167X.2025.03.020.

DOI:10.19723/j.issn.1671-167X.2025.03.020
PMID:40509834
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12171593/
Abstract

OBJECTIVE

To investigate the prevalence of asthenopia and dry eye, and to further explore the potential occupational hazard factors, so as to provide a theoretical basis for their prevention and control.

METHODS

A cross-sectional survey was conducted on the selected respondents. For visual display terminal (VDT) workers in employing organizations such as banks, colleges, and government departments, an online questionnaire independently developed by the research group was used for population surveys. Information including general information, work-related situations, work environment, visual health, and ergonomic factors was collected. The respondents were analyzed according to whether they suffered from asthenopia and dry eye. Relevant factors of asthenopia and dry eye were screened through -test and Chi-square test. Subsequently, binary Logistic regression analysis was carried out to determine the risk factors of asthenopia and dry eye among the VDT workers.

RESULTS

The overall prevalence of asthenopia was 52.5% (235/448) and dry eye was 36.8% (165/448). There were no significant diffe-rences in the prevalence of asthenopia and dry eye among different genders, age groups, and groups of length of service in VDT work. However, the highest prevalence of dry eye was observed in underweight individuals (42.9%), followed by normal weight (40.6%), overweight (28.0%), and obese indivi-duals (17.4%). There was a significant difference in the prevalence of dry eye among different body mass index (BMI) groups (=9.505, =0.023). The lowest prevalence of asthenopia was observed among securities industry employees (22.6%), while higher rates were found in employees in companies (59.5%) and other employing organizations (68.8%). A significant difference in the prevalence of asthenopia among different employing organizations (=14.832, =0.022). The result of Logistic regression showed that a longer length of service in VDT work (=1.006, < 0.001), a longer duration of VDT after working hours (=1.002, =0.032), a too-bright monitor (=2.875, =0.022), glare during work (=1.500, =0.038), a louder noise in work environment (=1.586, =0.012), work-related musculoskeletal disorders (WMSDs) (=4.366, < 0.001) and other factors were independent risk factors of asthenopia, while wearing frame glasses (=0.452, =0.037) was an independent protective factor. Glare during work (=2.198, < 0.001), WMSDs (=2.226, =0.001) and other factors were independent risk factors of dry eye, while overweight (=0.448, =0.006), obesity (=0.228, =0.032) were independent protective factors of dry eye.

CONCLUSION

The prevalence of asthenopia and dry eye among VDT workers is relatively high, and it is associated with multiple risk factors. During prevention and control, attention should be paid to taking reasonable breaks during work, controlling glare, and strengthening visual health training and promotion.

摘要

目的

调查视疲劳和干眼的患病率,并进一步探讨潜在的职业危害因素,为其防控提供理论依据。

方法

对选定的受访者进行横断面调查。对于银行、高校、政府部门等用人单位中的视屏终端(VDT)作业人员,采用研究组自主研制的在线问卷进行人群调查。收集一般信息、工作相关情况、工作环境、视觉健康及工效学因素等信息。根据受访者是否患有视疲劳和干眼进行分析。通过t检验和卡方检验对视疲劳和干眼的相关因素进行筛选。随后进行二元Logistic回归分析,以确定VDT作业人员视疲劳和干眼的危险因素。

结果

视疲劳的总体患病率为52.5%(235/448),干眼的患病率为36.8%(165/448)。VDT作业中,不同性别、年龄组及工龄组的视疲劳和干眼患病率无显著差异。然而,体重过低者干眼患病率最高(42.9%),其次是正常体重者(40.6%)、超重者(28.0%)和肥胖者(17.4%)。不同体重指数(BMI)组的干眼患病率存在显著差异(χ²=9.505,P=0.023)。证券行业员工视疲劳患病率最低(22.6%),而企业员工(59.5%)和其他用人单位员工(68.8%)的患病率较高。不同用人单位的视疲劳患病率存在显著差异(χ²=14.832,P=0.022)。Logistic回归结果显示,VDT作业工龄较长(β=1.006,P<0.001)、下班后VDT使用时间较长(β=1.002,P=0.032)、显示器过亮(β=2.875,P=0.022)、工作时眩光(β=1.500,P=0.038)、工作环境噪音较大(β=1.586,P=0.012)、工作相关肌肉骨骼疾病(WMSDs)(β=4.366,P<0.001)等因素是视疲劳的独立危险因素,而佩戴框架眼镜(β=0.452,P=0.037)是独立保护因素。工作时眩光(β=2.198,P<0.001)、WMSDs(β=2.226,P=0.001)等因素是干眼的独立危险因素,而超重(β=