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首页> 外文期刊>Frontiers in Public Health >Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures
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Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures

机译:大学生SARS-COV-2爆发期间的计算机视觉综合征:在线课程与课堂讲座的比较

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Purpose: To compare the prevalence of computer vision syndrome in university students of different teaching modes during the SARS-CoV-2 outbreak period. Methods: A cross-sectional survey study using the validated Computer Vision Syndrome Questionnaire in Chinese medical students of Sichuan University who took classroom lectures and the same-grade foreign students from a Bachelor of Medicine and Bachelor of Surgery (MBBS) program who took online lectures with similar schedules. Results: A total of 137 responses from 63 Chinese students and 74 MBBS students were obtained. The highest frequency of digital screen time was 7-9 h (43.24%, 32/74) for MBBS students and 2-4 h (46.03%, 29/63) for Chinese students. The prevalence of computer vision syndrome among Chinese students and MBBS students were 50.79% and 74.32%, respectively ( P = 0.004). The average numbers of reported symptoms were 5.00 ± 2.17 in Chinese students and 5.91 ± 1.90 in MBBS students ( P = 0.01). The three most highly reported symptoms were “heavy eyelids” (53.97%), “dryness” (50.79%), and “feeling of a foreign body” (46.03%) in Chinese students and “dryness” (72.97%), “feeling of a foreign body” (62.16%), and “heavy eyelids” (58.11%) in MBBS students. The sum grades of computer vision syndrome had a moderate positive correlation with screen time (Spearman's correlation coefficient = 0.386, P 0.001). The grades of symptoms of “feeling of a foreign body,” “heavy eyelids,” and “dryness” showed a weak positive correlation with screen time (Spearman's correlation coefficients were 0.220, 0.205, and 0.230, respectively). Conclusion: Online study may contribute to the prevalence of computer vision syndrome among university students.
机译:目的:在SARS-COV-2爆发期间比较不同教学模式的大学生计算机视觉综合征的患病率。方法:采用四川大学中国医学院验证的计算机视觉综合征问卷的横截面调查研究,他采取课堂讲座和来自医学学士学位的课堂讲座和同级外国学生(MBBS)讲座,他参加了在线讲座有类似的时间表。结果:共有137名中国学生和74名MBB学生的回应。数字屏幕时间的最高频率为MBBS学生7-9小时(43.24%,32/74),为2-4小时(46.03%,29/63)为中国学生。中国学生和MBB学生的计算机视觉综合征的患病率分别为50.79%和74.32%(P = 0.004)。报告症状的平均数量为中国学生5.00±2.17,MBBS学生5.91±1.90(P = 0.01)。三种最高报道的症状是“重睫毛”(53.97%),“干燥”(50.79%),“中国学生的46.03%”(46.03%)和“干燥”(72.97%),“感觉异物“(62.16%)和”重型眼睑“(58.11%)在MBBS学生中。计算机视觉综合征的和等级与筛选时间(Spearman的相关系数= 0.386,P <0.001)具有适度的正相关性。 “异物的感觉”的症状等级,“重眼睑”和“干燥”显示出与筛网时间较弱的正相关(Spearman的相关系数分别为0.220,0.205和0.230)。结论:在线研究可能有助于大学生计算机视觉综合征的患病率。

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