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首页> 外文期刊>Journal of Biology, Agriculture and Healthcare >Prevalence of Self Reported Computer Vision Syndrome and Associated Factors among Secretaries and Data Processors Who are Working in University of Gondar, Ethiopia
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Prevalence of Self Reported Computer Vision Syndrome and Associated Factors among Secretaries and Data Processors Who are Working in University of Gondar, Ethiopia

机译:在埃塞俄比亚贡达大学工作的秘书和数据处理人员中,自我报告的计算机视觉综合症的患病率和相关因素

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Computers have become an indispensible part of modern life, being used in every aspect of life. This technological advancement has ushered in a new genre of occupational health problem. Computer Vision Syndrome is a condition that affects millions of people globally. This study investigated the prevalence of Self Reported Computer Vision Syndrome (CVS) and associated factors among secretaries and data processors who are working in university of Gondar, Ethiopia. This institution based cross sectional study was based on 284 study participants from the 1st May to 15th June 2004. Descriptive statistics and logistic regression was used to estimate odds ratio and 95% confidence interval. The prevalence of Computer Vision Syndrome among respondents was 73.9%. Secretaries and data processers used computers for > 7 hours per-day were 2 times more likely to have suffered from CVS as compared to those who used computers < 7 hours per-day (OR=2; 95%CI: 1.14 – 3.51). Prevalence of CVS was high among the study participants. Age and working hours spent on computer use are independent predictors of CVS. Further studies on a large scale should be carried out to explore the extent and factors associated with CVS. Keywords: Computer Vision Syndrome, University of Gondar, Working hour’s per-day
机译:计算机已经成为现代生活中不可或缺的一部分,被用于生活的各个方面。这项技术进步带来了一种新的职业健康问题。计算机视觉综合症是一种影响全球数百万人的疾病。这项研究调查了在埃塞俄比亚贡德尔大学工作的秘书和数据处理人员中自我报告的计算机视觉综合症(CVS)的患病率及其相关因素。这项基于机构的横断面研究以2004年5月1日至6月15日的284名研究参与者为基础。描述性统计和逻辑回归用于估计比值比和95%置信区间。受访者中计算机视觉综合症的患病率为73.9%。每天使用7个小时以上的计算机的秘书和数据处理者遭受CVS的可能性是每天使用7个小时以下的计算机的两倍(OR = 2; 95%CI:1.14 – 3.51)。研究参与者中CVS的患病率很高。计算机使用的年龄和工作时间是CVS的独立预测因素。应该进一步进行大规模研究,以探索与CVS相关的程度和因素。关键字:贡达尔大学计算机视觉综合症,每天工作时间

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