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新冠疫情期间突然转向完全在线教育的大学生的适应特征

Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic.

作者信息

Ishimaru Daiki, Adachi Hiroyoshi, Nagahara Hajime, Shirai Shizuka, Takemura Haruo, Takemura Noriko, Mehrasa Alizadeh, Higashino Teruo, Yagi Yasushi, Ikeda Manabu

机构信息

Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan.

Health and Counseling Center, Osaka University, Toyonaka, Japan.

出版信息

Front Psychiatry. 2021 Sep 13;12:731137. doi: 10.3389/fpsyt.2021.731137. eCollection 2021.

Abstract

This study aimed to clarify the adaptation features of University students exposed to fully online education during the novel coronavirus disease 2019 (COVID-19) pandemic and to identify accompanying mental health problems and predictors of school adaptation. The pandemic has forced many universities to transition rapidly to delivering online education. However, little is known about the impact of this drastic change on students' school adaptation. This cross-sectional study used an online questionnaire, including assessments of impressions of online education, study engagement, mental health, and lifestyle habits. In total, 1,259 students were assessed. The characteristics of school adaptation were analyzed by a two-step cluster analysis. The proportion of mental health problems was compared among different groups based on a cluster analysis. A logistic regression analysis was used to identify predictors of cluster membership. -values < 0.05 were considered statistically significant. The two-step cluster analysis determined three clusters: school adaptation group, school maladaptation group, and school over-adaptation group. The last group significantly exhibited the most mental health problems. Membership of this group was significantly associated with being female (OR = 1.42; 95% CI 1.06-1.91), being older (OR = 1.21; 95% CI 1.01-1.44), those who considered online education to be less beneficial (OR = 2.17; 95% CI 1.64-2.88), shorter sleep time on weekdays (OR = 0.826; 95% CI 0.683-.998), longer sleep time on holidays (OR = 1.21; 95% CI 1.03-1.43), and worse restorative sleep (OR = 2.27; 95% CI 1.81-2.86). The results suggest that academic staff should understand distinctive features of school adaptation owing to the rapid transition of the educational system and should develop support systems to improve students' mental health. They should consider ways to incorporate online classes with their lectures to improve students' perceived benefits of online education. Additionally, educational guidance on lifestyle, such as sleep hygiene, may be necessary.

摘要

本研究旨在阐明2019年新型冠状病毒病(COVID-19)大流行期间接受完全在线教育的大学生的适应特征,识别伴随的心理健康问题以及学校适应的预测因素。大流行迫使许多大学迅速转向提供在线教育。然而,对于这一剧烈变化对学生学校适应的影响知之甚少。这项横断面研究使用了一份在线问卷,包括对在线教育印象、学习参与度、心理健康和生活方式习惯的评估。总共评估了1259名学生。通过两步聚类分析来分析学校适应的特征。基于聚类分析比较不同组之间心理健康问题的比例。使用逻辑回归分析来识别聚类成员的预测因素。P值<0.05被认为具有统计学意义。两步聚类分析确定了三个聚类:学校适应组、学校适应不良组和学校过度适应组。最后一组显著表现出最多的心理健康问题。该组的成员身份与女性(OR = 1.42;95%CI 1.06 - 1.91)、年龄较大(OR = 1.21;95%CI 1.01 - 1.44)、认为在线教育益处较小的人(OR = 2.17;95%CI 1.64 - 2.88)、工作日睡眠时间较短(OR = 0.826;95%CI 0.683 - 0.998)、节假日睡眠时间较长(OR = 1.21;95%CI 1.03 - 1.43)以及恢复性睡眠较差(OR = 2.27;95%CI 1.81 - 2.86)显著相关。结果表明,学术人员应了解由于教育系统的快速转变而导致的学校适应的独特特征,并应建立支持系统以改善学生的心理健康。他们应考虑将在线课程融入其讲座的方法,以提高学生对在线教育的感知益处。此外,可能需要提供关于生活方式的教育指导,如睡眠卫生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4902/8473868/eae15d9a2a96/fpsyt-12-731137-g0001.jpg

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