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

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 universitie...

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Autores principales: Ishimaru, Daiki, Adachi, Hiroyoshi, Nagahara, Hajime, Shirai, Shizuka, Takemura, Haruo, Takemura, Noriko, Mehrasa, Alizadeh, Higashino, Teruo, Yagi, Yasushi, Ikeda, Manabu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473868/
https://www.ncbi.nlm.nih.gov/pubmed/34589012
http://dx.doi.org/10.3389/fpsyt.2021.731137
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author Ishimaru, Daiki
Adachi, Hiroyoshi
Nagahara, Hajime
Shirai, Shizuka
Takemura, Haruo
Takemura, Noriko
Mehrasa, Alizadeh
Higashino, Teruo
Yagi, Yasushi
Ikeda, Manabu
author_facet Ishimaru, Daiki
Adachi, Hiroyoshi
Nagahara, Hajime
Shirai, Shizuka
Takemura, Haruo
Takemura, Noriko
Mehrasa, Alizadeh
Higashino, Teruo
Yagi, Yasushi
Ikeda, Manabu
author_sort Ishimaru, Daiki
collection PubMed
description 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. P-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.
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spelling pubmed-84738682021-09-28 Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic Ishimaru, Daiki Adachi, Hiroyoshi Nagahara, Hajime Shirai, Shizuka Takemura, Haruo Takemura, Noriko Mehrasa, Alizadeh Higashino, Teruo Yagi, Yasushi Ikeda, Manabu Front Psychiatry Psychiatry 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. P-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. Frontiers Media S.A. 2021-09-13 /pmc/articles/PMC8473868/ /pubmed/34589012 http://dx.doi.org/10.3389/fpsyt.2021.731137 Text en Copyright © 2021 Ishimaru, Adachi, Nagahara, Shirai, Takemura, Takemura, Mehrasa, Higashino, Yagi and Ikeda. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Ishimaru, Daiki
Adachi, Hiroyoshi
Nagahara, Hajime
Shirai, Shizuka
Takemura, Haruo
Takemura, Noriko
Mehrasa, Alizadeh
Higashino, Teruo
Yagi, Yasushi
Ikeda, Manabu
Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic
title Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic
title_full Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic
title_fullStr Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic
title_full_unstemmed Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic
title_short Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic
title_sort characteristics of adaptation in undergraduate university students suddenly exposed to fully online education during the covid-19 pandemic
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473868/
https://www.ncbi.nlm.nih.gov/pubmed/34589012
http://dx.doi.org/10.3389/fpsyt.2021.731137
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