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埃塞俄比亚计算机用户中的计算机视觉综合征及其预测因素:一项系统评价和荟萃分析

Computer vision syndrome and predictors among computer users in Ethiopia: a systematic review and meta-analysis.

作者信息

Adane Fentahun, Alamneh Yoseph Merkeb, Desta Melaku

机构信息

Department of Biomedical Sciences, School of Medicine, Debre Markos University, Debre Markos, Ethiopia.

Department of Midwifery, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.

出版信息

Trop Med Health. 2022 Mar 24;50(1):26. doi: 10.1186/s41182-022-00418-3.

DOI:10.1186/s41182-022-00418-3
PMID:35331333
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8943996/
Abstract

BACKGROUND

A computer is one of the most widely used office tools. The leading occupational health problem of the twenty-first century is computer vision syndrome (CVS). Research findings across Ethiopia on the magnitude and predictors of CVS among computer users are highly variable and inconsistent. Therefore, this study aimed to estimate the overall prevalence of CVS and its predictors among computer users in Ethiopia.

METHODS

We searched articles in all databases and other sources. Cochrane Q test statistics and I tests were used. A random-effect meta-analysis model was used. In addition, the association between risk factors and CVS among computer users was examined.

RESULTS

Eight eligible studies were included. The pooled prevalence of CVS among computer users in Ethiopia was 73.21% (95% CI 70.32-76.11). Sub-group analysis by profession has shown that the highest prevalence of CVS was observed in bank employees [73.76% (95% CI 70.40-77.13)]. The most common reported symptoms of CVS were blurred vision (34.26%; 95% CI 22.08, 46.43). The previous history of eye disease (95% CI 2.30, 5.47), inappropriate sitting position (95% CI 1.76, 3.22), the frequent use of a computer (95% CI 2.04, 3.60), and using eyeglass/spectacles (95% CI 1.10, 3.91) were significantly associated with CVS among computer users in Ethiopia.

CONCLUSIONS

According to this study, computer vision syndrome was high among computer users in Ethiopia. Computer vision syndrome (CVS) was significantly associated with a previous history of eye disease, inappropriate sitting position, frequent use of a computer, and the use of spectacles. Based on the findings, it is suggested that efforts be made to optimize computer exposure time. It is also worth noting that employees should be properly seated when using a computer. Furthermore, people with vision problems should be extra cautious when using a computer. Finally, community awareness of the safety precautions that can be taken to reduce CVS is critical.

摘要

背景

计算机是使用最广泛的办公工具之一。21世纪主要的职业健康问题是计算机视觉综合征(CVS)。埃塞俄比亚各地关于计算机用户中CVS的严重程度及其预测因素的研究结果差异很大且不一致。因此,本研究旨在估计埃塞俄比亚计算机用户中CVS的总体患病率及其预测因素。

方法

我们在所有数据库和其他来源中搜索文章。使用Cochrane Q检验统计量和I检验。采用随机效应荟萃分析模型。此外,还研究了计算机用户中危险因素与CVS之间的关联。

结果

纳入了八项符合条件的研究。埃塞俄比亚计算机用户中CVS的合并患病率为73.21%(95%置信区间70.32 - 76.11)。按职业进行的亚组分析表明,银行员工中CVS的患病率最高[73.76%(95%置信区间70.40 - 77.13)]。报告的CVS最常见症状是视力模糊(34.26%;95%置信区间22.08,46.43)。眼病既往史(95%置信区间2.30,5.47)、坐姿不当(95%置信区间1.76,3.22)、频繁使用计算机(95%置信区间2.04,3.60)以及佩戴眼镜(95%置信区间1.10,3.91)与埃塞俄比亚计算机用户中的CVS显著相关。

结论

根据本研究,埃塞俄比亚计算机用户中计算机视觉综合征的患病率很高。计算机视觉综合征(CVS)与眼病既往史、坐姿不当、频繁使用计算机以及佩戴眼镜显著相关。基于这些发现,建议努力优化计算机使用时间。还值得注意的是,员工使用计算机时应正确就座。此外,有视力问题的人使用计算机时应格外小心。最后,提高社区对可采取的减少CVS的安全预防措施的认识至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/3333278dcb40/41182_2022_418_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/a2e99b6f1be0/41182_2022_418_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/d6447629e662/41182_2022_418_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/8ce41b2eed10/41182_2022_418_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/825d49d93436/41182_2022_418_Fig4a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/3333278dcb40/41182_2022_418_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/a2e99b6f1be0/41182_2022_418_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/d6447629e662/41182_2022_418_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/8ce41b2eed10/41182_2022_418_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/825d49d93436/41182_2022_418_Fig4a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb06/8943996/3333278dcb40/41182_2022_418_Fig5_HTML.jpg

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