Volume 42 Issue 10
Oct.  2021
Turn off MathJax
Article Contents
WANG Shuo, ZONG Zhiqiang, WANG Renjie, QIAO Wanyu, TIAN Yuyao, ZHANG Zichen, ZHOU Chao, XU Shaojun. The relationship between online learning and eye strain in college students during the COVID-19 outbreak[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(10): 1491-1494. doi: 10.16835/j.cnki.1000-9817.2021.10.011
Citation: WANG Shuo, ZONG Zhiqiang, WANG Renjie, QIAO Wanyu, TIAN Yuyao, ZHANG Zichen, ZHOU Chao, XU Shaojun. The relationship between online learning and eye strain in college students during the COVID-19 outbreak[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(10): 1491-1494. doi: 10.16835/j.cnki.1000-9817.2021.10.011

The relationship between online learning and eye strain in college students during the COVID-19 outbreak

doi: 10.16835/j.cnki.1000-9817.2021.10.011
  • Received Date: 2021-03-13
  • Rev Recd Date: 2021-05-18
  • Available Online: 2021-10-25
  • Publish Date: 2021-10-25
  •   Objective  To describe online learning and eye strain situation of college students during the COVID-19 outbreak, to provide a scientific basis for guiding students' eye health.  Methods  A self-filled electronic questionnaire survey through questionnaire star was administered to college students across China. Information about online learning and eye strain of 1 046 college students during the epidemic was collected in Hefei, Anhui Province from March 16 to 20, 2020. The univariate and multivariate Logistic regression analysis were performed to analyze the association between online learning and eye strain of college students.  Results  The rate of eye strain during online learning was 72.1%, totally of 68.4% in 421 male students and 74.6% in 625 female students. Boys with online learning time < 6 h/d, slow internet access, difficulty in understanding online class reported higher rate of eye strain than girls(χ2=17.36, 8.72, 7.02, P < 0.05). Freshmen reported the highest rate of slow internet access occasionally and active online class(χ2=15.26, 16.11, P < 0.05), junior students reported highest rate of online learning time < 6 h/d, and easy understandable online class(χ2=15.33, 32.59, P < 0.05), medical college students reported higher rate of slow internet access, inactive online class than non-medical college students(χ2=11.79, 11.03, P < 0.05). Multivariate Logistic regression analysis showed that odds ratio(OR) of eye strain in females was 1.40 (1.06-1.87), compared with males; the OR of eye strain were 1.43 (1.01-2.03) and 1.54 (1.10-2.15) in the groups with online learning time 6- < 8 h/d and ≥8 h/d, respectively, compared with the group with online learning time < 6 h/d, the OR of eye strain in the groups with slow internet access was 2.28 (1.25-4.14), compared with students without slow internet access, the OR of eye strain in the capable-to-understand and difficult-to-understand group were 2.54 (1.73-3.74) and 5.40 (2.70-10.80) respectively, compared with the easy-to-understand group.  Conclusion  Female students, online learing time ≥ 8 h/d, slow internet access, difficult to understand class content were positively related with college students eye strain. Attention should be paid to the eye health of college students to reduce the adverse effects of online learning on vision.during the COVID-19 epidemic.
  • loading
  • [1]
    HUANG X, WEI F, HU F, et al. Epidemiology and clinical characteristics of COVID-19[J]. Arch Iran Med, 2020, 23(4): 268-271. doi: 10.34172/aim.2020.09
    [2]
    Ministry of Education of the People's Republic of China. MOE issues instructions for deployment of HEI online teaching[EB/OL]. [2020-02-04]. http://en.moe.gov.cn/news/press_releases/202002/t20200208_419136.html.
    [3]
    林浩添, 项毅帆, 崔婷欣, 等. 疫情防控专题: 新型冠状病毒疫情期间线上学习相关眼健康问题及预防措施[J]. 中华眼科杂志, 2020, 56(5): 398-400. doi: 10.3760/cma.j.cn112142-20200219-00089

    LIN H T, XIANG Y F, CUI T X, et al. Online learning-related visual impairment and preventive measures during the 2019 novel coronvirus outbreak[J]. Chin J Ophthalmol, 2020, 56(5): 398-400. doi: 10.3760/cma.j.cn112142-20200219-00089
    [4]
    GADI L. Adverse physiological and psychological effects of screen time on children and adolescents: literature review and case study[J]. Environ Res, 2018, 164(7): 149-157.
    [5]
    中华医学会眼科学分会眼视光学组. 视疲劳诊疗专家共识(2014年)[J]. 中华眼视光学与视觉科学杂志, 2014, 16(7): 385-387. doi: 10.3760/cma.j.issn.1674-845X.2014.07.001

    Ophthalmic Optics Group, Society of Ophthalmology, Chinese Medical Association. Expert consensus for the diagnosis and treatment of asthenopia(2014)[J]. Chin J Optom Ophthalmol Visual Sci, 2014, 16(7): 385-387. doi: 10.3760/cma.j.issn.1674-845X.2014.07.001
    [6]
    ROUSE M W, BORSTING E J, MITCHELL G L, et al. Validity and reliability of the revised convergence insufficiency symptom survey in adults[J]. Ophthalm Physiol Opt, 2004, 24(5): 384-390. doi: 10.1111/j.1475-1313.2004.00202.x
    [7]
    王家琦, 翟玥, 刘泽豫, 等. 大学生电子产品使用与视疲劳发生的相关性分析[J]. 眼科新进展, 2018, 38(1): 65-68. https://www.cnki.com.cn/Article/CJFDTOTAL-XKJZ201801015.htm

    WANG J Q, ZHAI Y, LIU Z Y, et al. Assocaition of electronic devices usage and visual fatigue in Chinese college students[J]. Rec Adv Ophthalmol, 2018, 38(1): 65-68. https://www.cnki.com.cn/Article/CJFDTOTAL-XKJZ201801015.htm
    [8]
    WONG C W, TSAI A, JONAS J B, et al. Digital screen time during the COVID-19 pandemic: risk for a further myopia boom?[J]. Am J Ophthalmol, 2021, 223(2): 333-337. http://www.ncbi.nlm.nih.gov/pubmed/32738229
    [9]
    HASHEMI H, SAATCHI M, YEKTA A, et al. High prevalence of asthenopia among a population of university students[J]. J Ophthalmic Vis Res, 2019, 14(4): 474-482. http://www.researchgate.net/publication/336836968_High_Prevalence_of_Asthenopia_among_a_Population_of_University_Students
    [10]
    邓如芝, 朱昱, 张嘉璠, 等. 中国普通群众视疲劳现况调查与影响因素[J]. 中华眼视光学与视觉科学杂志, 2019, 21(9): 668-676.

    DENG R Z, ZHU Y, ZHANG J F, et al. Investigation of asthenopia and related factors in the general public in China[J]. Chin J Optom Ophthalmol Visual Sci, 2019, 21(9): 668-676.
    [11]
    KIM J, HWANG Y, KANG S, et al. Association between exposure to smartphones and ocular health in adolescents[J]. Ophthal Epidemiol, 2016, 23(4): 269-276. doi: 10.3109/09286586.2015.1136652
    [12]
    施桂榕, 陈胜. 视频终端视疲劳的中医治疗进展[J]. 亚太传统医药, 2019, 15(9): 190-192. https://www.cnki.com.cn/Article/CJFDTOTAL-YTCT201909060.htm

    SHI G R, CHEN S. Progress in TCM treatment of visual fatigue at video terminal[J]. Asia-Pac Trad Med, 2019, 13(9): 702-706. https://www.cnki.com.cn/Article/CJFDTOTAL-YTCT201909060.htm
    [13]
    JAISWAL S, ASPER L, LONG J, et al. Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know[J]. Clin Exp Optom, 2019, 102(5): 463-477. doi: 10.1111/cxo.12851
    [14]
    陶然, 王政和, 董彬, 等. 观看不同屏幕对学生视力不良的影响[J]. 中国学校卫生, 2019, 40(9): 1369-1372. doi: 10.16835/j.cnki.1000-9817.2019.09.025

    TAO R, WANG Z H, DONG B, et al. Effects of watching different screens on students' visual acuity[J]. Chin J Sch Health, 2019, 40(9): 1369-1372. doi: 10.16835/j.cnki.1000-9817.2019.09.025
    [15]
    和鑫, 汪妍洁, 陈纳川, 等. 广州市某医科院校医学生在线学习现状调查与分析[J]. 中华医学教育探索杂志, 2020, 19(6): 736-740.

    HE X, WANG Y J, CHEN N C, et al. Investigation and analysis of the online learning status of medical college in Guangzhou[J]. Chin J Med Educ Res, 2020, 19(6): 736-740.
    [16]
    CARDONA G, GÓMEZ M, QUEVEDO L, et al. Effects of transient blur and VDT screen luminance changes on eyeblink rate[J]. Cont Lens Anter Eye, 2014, 37(5): 363-367. http://upcommons.upc.edu/bitstream/2117/24633/1/Effects
    [17]
    陈成明, 虞丽娟, 李俊, 等. LCD和OLED平板电脑引起的视觉疲劳测量对比实验研究[J]. 工业工程与管理, 2014, 19(2): 100-106. https://www.cnki.com.cn/Article/CJFDTOTAL-GYGC201402017.htm

    CHEN C M, YU L J, LI J, et al. Research on comparison experiment of visual fatigue caused by LCD and OLED tablet PCs[J]. Ind Eng Manag, 2014, 19(2): 100-106. https://www.cnki.com.cn/Article/CJFDTOTAL-GYGC201402017.htm
    [18]
    李凤鸣, 李立信. 中华眼科学[M]. 3版. 北京: 人民卫生出版社, 2014: 2764-2765.

    LI F M, LI L X. Chinese ophthalmology[M]. 3ed. Beijing: People's Medical Publishing House, 2014: 2764-2765.
    [19]
    王霞, 袁梦, 胡丽君, 等. 不同眼部休息方法对缓解医学生视疲劳的作用[J]. 中国学校卫生, 2016, 37(9): 1314-1317. doi: 10.16835/j.cnki.1000-9817.2016.09.010

    WANG X, YUAN M, HU L J, et al. Effects of different ocular-resting interventions to ease the video display terminal visual fatigue among medicos[J]. Chin J Sch Health, 2016, 37(9): 1314-1317. doi: 10.16835/j.cnki.1000-9817.2016.09.010
    [20]
    朱娉, 赵堪兴, 李丽华, 等. 调节和集合功能异常引起视疲劳临床分析[J]. 中国实用眼科杂志, 2014, 32(4): 424-427.

    ZHU P, ZHAO K X, LI L H, et al. Clinical analysis of accommodation dysfunction and convergence dysfunction in asthenopia[J]. Chin J Pract Ophthalmol, 2014, 32(4): 424-427.
    [21]
    XU Y, DENG G, WANG W, et al. Correlation between handheld digital device use and asthenopia in Chinese college students: a Shanghai study[J]. Acta Ophthalmol, 2019, 97(3): e442-e447. doi: 10.1111/aos.13885
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(2)

    Article Metrics

    Article views (1562) PDF downloads(212) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return