[1]马曼华,董伟华,赵爱侠.高校大学生视频终端视疲劳现状及影响因素分析[J].医学信息,2024,37(12):55-59.[doi:10.3969/j.issn.1006-1959.2024.12.011]
　MA Man-hua,DONG Wei-hua,ZHAO Ai-xia.Analysis of the Current Status and Influencing Factors of Video Display Terminals Visual Fatigue Among College Students[J].Journal of Medical Information,2024,37(12):55-59.[doi:10.3969/j.issn.1006-1959.2024.12.011]
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高校大学生视频终端视疲劳现状及影响因素分析()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
37卷
期数:
2024年12期
页码:
55-59
栏目:
公众健康信息学
出版日期:
2024-06-15

文章信息/Info

Title:
Analysis of the Current Status and Influencing Factors of Video Display Terminals Visual Fatigue Among College Students
文章编号:
1006-1959（2024）11-0055-05
作者:
马曼华; 董伟华; 赵爱侠
（商丘医学高等专科学校临床医学院，河南 商丘 476000）
Author(s):
MA Man-hua; DONG Wei-hua; ZHAO Ai-xia
(Clinical Medical College,Shangqiu Medical College,Shangqiu 476000,Henan,China)
关键词:
视疲劳; 大学生; 视频显示终端
Keywords:
Visual fatigue; College student; Video display terminals
分类号:
R77
DOI:
10.3969/j.issn.1006-1959.2024.12.011
文献标志码:
A
摘要:
目的 调查高校大学生视频显示终端（VDT）视疲劳现状及其影响因素。方法 以问卷调查方式对商丘医学高等专科学校大一、大二年级在校学生展开调查，分析高校大学生VDT视疲劳的影响因素。结果 共发放问卷1462份，有效问卷1330份（90.97%），VDT所致视疲劳发生率为62.86%，眼部不适症状最常见（97.61%），其中眼痛、眼酸占比最高达91.15%，灼烧感占比最低（25.60%）。单因素分析显示，视疲劳组屈光不正、每日睡眠时间＜8 h、连续看视频时间≥3 h、较近的屏幕距离占比均高于正常组（P＜0.05）。多因素Logistic回归分析显示，屈光不正（OR=1.561）、每日睡眠时间＜8 h（OR=1.600）、连续看视频时间≥3 h（OR=1.825）、较近的屏幕距离（OR=1.853）是导致高校大学生发生VDT视疲劳的危险因素（P＜0.05）。结论 大学生中VDT所致视疲劳发生率较高，屈光不正、每日睡眠时间、连续看视频时间及较近的屏幕距离均会影响视疲劳发生。
Abstract:
Objective To investigate the current status and influencing factors of video display terminals (VDT) visual fatigue among college students.Methods A questionnaire survey was conducted among freshmen and sophomores in Shangqiu Medical College to analyze the influencing factors of VDT visual fatigue among college students.Results A total of 1462 questionnaires were distributed in this study, with 1330 valid questionnaires (90.97%), the incidence of VDT visual fatigue was 62.86%, and eye discomfort symptoms were the most common (97.61%), and among them, eye pain and acerbity accounted for the highest proportion of 91.15%, while burning sensation accounted for the lowest proportion of 25.60%. Univariate analysis showed that the proportions of refractive errors, daily sleep time<8 hours, continuous video watching time ≥3 hours, and close screen distance in the visual fatigue group were higher than those in the normal group (P<0.05). Multivariate Logistic regression analysis showed that refractive error (OR=1.561), daily sleep time<8 hours (OR=1.600), continuous video watching time ≥ 3 hours (OR=1.825), and close screen distance (OR=1.853) were risk factors for VDT visual fatigue among college students (P<0.05).Conclusion The incidence of visual fatigue caused by VDT is high in college students. Refractive error, daily sleep time, continuous video viewing time and closer screen distance will affect the occurrence of visual fatigue.

参考文献/References:

[1]Tesfaye AH,Alemayehu M,Abere G,et al.Prevalence and Associated Factors of Computer Vision Syndrome Among Academic Staff in the University of Gondar,Northwest Ethiopia: An Institution-Based Cross-Sectional Study[J].Environ Health Insights,2022,16:11786302221111865. [2]Alatawi SK,Allinjawi K,Alzahrani K,et al.Self-reported student awareness and prevalence of computer vision syndrome during COVID-19 pandemic at Al-Baha university[J].Clin Optom (Auckl),2022,14:159-172.[3]Kaur K,Gurnani B,Nayak S,et al.Digital eye strain- A comprehensive review[J].Ophthalmol Ther,2022,11(5):1655-1680.[4]Cantó-Sancho N,Porru S,Casati S,et al.Prevalence and risk factors of computer vision syndrome-assessed in office workers by a validated questionnaire[J].PeerJ,2023,11:e14937.[5]Talens-Estarelles C,García-Marqués JV,Cervino A,et al.Use of digital displays and ocular surface alterations: A review[J].Ocul Surf,2021,19:252-265.[6]Singh S,McGuinness MB,Anderson AJ,et al.Interventions for the management of computer vision syndrome: A systematic review and meta-analysis[J].Ophthalmology,2022,129(10):1192-1215.[7]Lema AK,Anbesu EW.Computer vision syndrome and its determinants: A systematic review and meta-analysis[J].SAGE Open Med,2022,10:20503121221142402.[8]Uwimana A,Ma C,Ma X.Concurrent rising of dry eye and eye strain symptoms among university students during the COVID-19 Pandemic Era: A cross-sectional study[J].Risk Manag Healthc Policy,2022,15:2311-2322.[9]Wolffsohn JS,Arita R,Chalmers R,et al.TFOS DEWS II diagnostic methodology report[J].Ocul Surf,2017,15(3):539-574.[10]Wang J,Zeng P,Deng XW,et al.Eye habits affect the prevalence of asthenopia in patients with myopia[J].J Ophthalmol,2022,2022:8669217.[11]Fan Q,Wang H,Kong W,et al.Online learning-related visual function impairment during and after the COVID-19 pandemic[J].Front Public Health,2021,9:645971.[12]Coronel-Ocampos J,Gómez J,Gómez A,et al.Computer visual syndrome in medical students from a private university in paraguay: A survey study[J].Front Public Health,2022,10:935405.[13]梁双凤,耿浩铭,蹇文渊.两所中医药高校大学生视频显示终端综合征现状研究[J].中医眼耳鼻喉杂志,2022,12(3):149-152.[14]黄滟,高锦凤,杜涛,等.天全县高中学生视频显示终端综合征的影响因素分析[J].预防医学,2021,33(5):514-518.[15]Liu Z,Zhang K,Gao S,et al.Correlation between eye movements and asthenopia: A prospective observational study[J].J Clin Med,2022,11(23):7043.[16]刘乐,周义生,况杰,等.高校医学生视频显示终端综合征与抑郁症状的关系[J].中国学校卫生,2022,43(5):743-745,750.[17]Wangsan K,Upaphong P,Assavanopakun P,et al.Self-reported computer vision syndrome among thai university students in virtual classrooms during the COVID-19 pandemic: Prevalence and associated factors[J].Int J Environ Res Public Health,2022,19(7):3996.[18]Iqbal M,Said O,Ibrahim O,et al.Visual sequelae of computer vision syndrome: A cross-sectional case-control study[J].J Ophthalmol,2021,2021:6630286.[19]Magno MS,Utheim TP,Snieder H,et al.The relationship between dry eye and sleep quality[J].Ocul Surf,2021,20:13-19.[20]Zayed HAM,Saied SM,Younis EA,et al.Digital eye strain: prevalence and associated factors among information technology professionals,Egypt[J].Environ Sci Pollut Res Int,2021,28(20):25187-25195.

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更新日期/Last Update: 1900-01-01