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目的:明确计算机用户中干眼的发生情况,并将其与非使用者进行比较。方法:这是一项病例对照研究,于2015年在Birjand进行。研究的样本量确定为304例(计算机用户组和对照组每组152例)。两组都使用非随机抽样方法。泪液分泌试验用于评价研究对象的干眼情况。研究对象填写问卷,所用问卷通过回顾文献基于客观情况发展来。使用SPSS进行卡方检验和Fisher检验,显著性水平为0.05。结果:干眼发生率:对照组为3.3%(5例),计算机用户组为61.8%(94例)。两组差异具有统计学意义(P<0.01)。眼部不适症状发生率:对照组为7.9%(12例),计算机用户组为34.2%(52例),两组之间的差异具有统计学意义(P<0.01)。计算机用户组,不同性别、不同年龄之间干眼发生率无统计学差异(P=0.8)。干眼患者平均每天使用计算机时间为6.65±3.52h,对照组为1.62±2.54 h(T=13.25,P<0.001)。结论:这一研究显示了使用计算机和干眼、眼部症状发生具有显著相关性。因此,管理人员需要对员工使用计算机工作的时间予以特别的关注。
Purpose: To identify the occurrence of dry eye in computer users and to compare them with non-users. Method: This is a case-control study that was conducted in Birjand in 2015. The sample size was determined as 304 (152 in each of the computer user group and the control group). Both groups used a non-random sampling method. Tear secretion test is used to evaluate the dry eye situation of the study. Subjects fill out the questionnaire, the questionnaire used by reviewing the literature based on objective developments. Chi-square and Fisher tests were performed using SPSS with a significance level of 0.05. Results: The incidence of dry eye was 3.3% (5 cases) in the control group and 61.8% (94 cases) in the computer user group. The difference between the two groups was statistically significant (P <0.01). The incidence of ocular discomfort was 7.9% (12 cases) in the control group and 34.2% (52 cases) in the computer user group. The difference between the two groups was statistically significant (P <0.01). There was no significant difference in the incidence of dry eye between computer user groups, different genders and different ages (P = 0.8). The average daily computer use time for dry eye patients was 6.65 ± 3.52 hours, while the control group was 1.62 ± 2.54 hours (T = 13.25, P <0.001). Conclusion: This study shows that there is a significant correlation between ocular symptoms and the use of computer and dry eye. Therefore, managers need to pay special attention to the time employees spend on computer work.