The relationship between online learning and eye strain in college students during the COVID-19 outbreak
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摘要:
目的 了解新型冠状病毒(COVID-19)肺炎疫情期间高校大学生在线学习和视疲劳现状,为指导学生用眼健康提供科学依据。 方法 设计并发放自填电子问卷,2020年3月16—20日收集安徽省合肥市1 046名在校大学生疫情期间在线学习情况和视疲劳症状相关信息,采用单因素和多因素Logistic回归分析大学生在线学习情况与视力疲劳的关联。 结果 大学生疫情期间视疲劳检出率为72.1%,男生和女生的视疲劳检出率分别为68.4%和74.6%。男生在线学习时间 < 6 h/d、网络频繁卡顿、课堂内容难以理解报告率高于女生,大一学生网络偶尔卡顿、课堂氛围活跃报告率最高,大三学生在线学习时间 < 6 h/d、课堂内容容易理解报告率最高,医学类大学生网络频繁卡顿、课堂氛围不活跃报告率高于非医学类大学生,差异均有统计学意义(χ2值分别为17.36,8.72,7.02,15.26,16.11,15.33,32.59,11.79,11.03,P值均 < 0.05)。多因素Logistic回归分析显示,女生[OR值为1.40(1.06~1.87)],在线学习时间6~ < 8和≥8 h/d组大学生[OR值分别为1.43(1.01~2.03)和1.54(1.10~2.15)],网络频繁卡顿组大学生[OR值为2.28(1.25~4.14)],课堂内容能够理解和难以理解组大学生[OR值分别为2.54(1.73~3.74)和5.40(2.70~10.80)]更易视疲劳(P值均 < 0.05)。 结论 女生、在线学习时间≥8 h/d、网络频繁卡顿、课堂内容难以理解与大学生视疲劳呈正向关联。应关注疫情期间大学生的用眼健康,减少在线学习对视疲劳的影响。 Abstract: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. -
Key words:
- Coronavirus /
- Learning /
- Asthenopia /
- Regression analysis /
- Students
1) 王烁与宗志强为共同第一作者。 -
表 1 不同人口统计学特征大学生在线学习情况分布比较
Table 1. The distribution of online learning status of college students with different demographics
人口统计学指标 选项 人数 统计值 在线学习时间/(h·d-1) 网络卡顿 课堂氛围 课堂内容 < 6 6~ < 8 ≥8 从未 偶尔 频繁 活跃 一般 不活跃 容易理解 能够理解 难以理解 性别 男 421 167(39.7) 99(23.5) 155(36.8) 30(7.1) 281(66.7) 110(26.1) 87(20.7) 231(54.9) 103(24.5) 53(12.6) 318(75.5) 50(11.9) 女 625 190(30.4) 218(34.9) 217(34.7) 41(6.6) 467(74.7) 117(18.7) 108(17.3) 383(61.3) 134(21.4) 75(12.0) 505(80.8) 45(7.2) χ2值 17.36 8.72 4.32 7.02 P值 <0.01 0.01 0.12 0.03 年级 大一 232 75(32.3) 70(30.2) 87(37.5) 13(5.6) 176(75.9) 43(18.5) 56(24.1) 141(60.8) 35(15.1) 12(5.2) 195(84.1) 25(10.8) 大二 218 73(33.5) 58(26.6) 87(39.9) 16(7.3) 156(71.6) 46(21.1) 39(17.9) 130(59.6) 49(22.5) 23(10.6) 163(74.8) 32(14.7) 大三 369 148(40.1) 111(30.1) 110(29.8) 30(8.1) 270(73.2) 69(18.7) 69(18.7) 205(55.6) 95(25.7) 64(17.3) 282(76.4) 23(6.2) 大四及以上 227 61(26.9) 78(34.4) 88(38.8) 12(5.3) 146(64.3) 69(30.4) 31(13.7) 138(60.8) 58(25.6) 29(12.8) 183(80.6) 15(6.6) χ2值 15.33 15.26 16.11 32.59 P值 0.02 0.02 0.01 <0.01 专业类型 医学类 487 151(31.0) 157(32.2) 179(36.8) 25(5.1) 336(69.0) 126(25.9) 70(14.4) 299(61.4) 118(24.2) 50(10.3) 396(81.3) 41(8.4) 非医学类 559 206(36.9) 160(28.6) 193(34.5) 46(8.2) 412(73.7) 101(18.1) 125(22.4) 315(56.4) 119(21.3) 78(14.0) 427(76.4) 54(9.7) χ2值 4.09 11.79 11.03 4.14 P值 0.13 < 0.01 < 0.01 0.13 注:()内数字为构成比/%。 表 2 大学生在线学习情况与视疲劳的关系
Table 2. The relationship between online learning status and eye strain in college students
组别 选项 人数 视疲劳 单因素分析 多因素分析 检出人数 检出率/% OR值(OR值95%CI) P值 OR值(OR值95%CI) P值 性别 男 421 288 68.4 1.00 1.00 女 625 466 74.6 1.35(1.03~1.78) 0.03 1.40(1.06~1.87) 0.02 年级 大一 232 172 74.1 1.00 大二 218 164 75.2 1.06(0.69~1.62) 0.79 - - 大三 369 255 69.1 0.78(0.54~1.13) 0.19 - - 大四及以上 227 163 71.8 0.89(0.59~1.34) 0.57 - - 在线学习时间/ < 6 357 232 65.0 1.00 1.00 (h·d-1) 6~ < 8 317 237 74.8 1.60(1.14~2.23) < 0.01 1.43(1.01~2.03) 0.04 ≥8 372 285 76.6 1.77(1.28~2.44) < 0.01 1.54(1.10~2.15) 0.01 网络卡顿 从未 71 41 57.7 1.00 1.00 偶尔 748 531 71.0 1.79(1.09~2.94) 0.01 - - 频繁 227 182 80.2 2.96(1.67~5.25) <0.01 2.28(1.25~4.14) 0.01 课堂氛围 活跃 195 121 62.1 1.00 一般 614 443 72.1 1.58(1.13~2.22) 0.01 - - 不活跃 237 190 80.2 2.47(1.61~3.80) <0.01 - - 课堂内容 容易理解 128 65 50.8 1.00 1.00 能够理解 823 607 73.8 2.72(1.86~3.98) <0.01 2.54(1.73~3.74) <0.01 难以理解 95 82 86.3 6.11(3.10~12.07) <0.01 5.40(2.70~10.80) <0.01 -
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