Jonas John Posko Amalaraj, T. A. Saminathan, T. G. R. Lourdes, Mohammed Ali Abbod Al-Maliki, Mohd Azli Fakri Abdul Aziz, Nurhajar Asmad Mohd Yusoff, R. Zaki
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{"title":"新冠肺炎期间的电子学习与大学生的焦虑水平:一项系统综述","authors":"Jonas John Posko Amalaraj, T. A. Saminathan, T. G. R. Lourdes, Mohammed Ali Abbod Al-Maliki, Mohd Azli Fakri Abdul Aziz, Nurhajar Asmad Mohd Yusoff, R. Zaki","doi":"10.21037/jphe-22-61","DOIUrl":null,"url":null,"abstract":"Background: E-learning was widely used in universities during the COVID-19 epidemic to guarantee students' ongoing education and learning. This systematic review summarizes and synthesizes evidence elucidating the association between e-learning during the COVID-19 pandemic and anxiety among university students. Methods: A systematic search from five databases (PubMed, Wiley, Science Direct, EBSCO, and Scopus) was done, with the last search conducted on the 30th of November 2021. Full-text English articles published from November 2019 to November 2021. Mostly cross-sectional study designs were included, excluding non-peer-reviewed documents and non-English language studies. The data was recorded in the data extraction form, and all seven articles were assessed for quality using the Joanna Briggs Institute (JBI) Checklist for Analytical Cross-Sectional studies. Results: The search yielded seven eligible articles, with a total of 12,481 participants. Four articles aimed to determine the direct association between e-learning and anxiety levels. While three aimed to identify e-learning as a potential stressor during the COVID-19 pandemic, which is associated with anxiety levels. Five different tools were used to measure anxiety in the chosen articles. Four out of seven articles reviewed in this systematic review concluded that e-learning was significantly associated with anxiety. The remaining three found no association. Several factors were found to be associated with anxiety due to e-learning: females, sex/gender minorities, younger students, medical students, and staying alone. Conclusions: University students reported mild to high levels of anxiety during the COVID-19 pandemic. The effect of e-learning on anxiety levels is determined by the diverse socio-demographic backgrounds. Internet connectivity and facilities also contributed to anxiety levels during e-learning. Limitations of this review include selection bias, small sample size, and the cross-sectional study designs, which could not establish a causal relationship. Evidence from stronger study designs is needed to confirm the association and establish a causation link of anxiety due to e-learning methods. © Journal of Public Health and Emergency. All rights reserved.","PeriodicalId":92257,"journal":{"name":"Journal of public health and emergency","volume":" ","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"E-learning during COVID-19 and anxiety levels among university students: a systematic review\",\"authors\":\"Jonas John Posko Amalaraj, T. A. Saminathan, T. G. R. Lourdes, Mohammed Ali Abbod Al-Maliki, Mohd Azli Fakri Abdul Aziz, Nurhajar Asmad Mohd Yusoff, R. Zaki\",\"doi\":\"10.21037/jphe-22-61\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: E-learning was widely used in universities during the COVID-19 epidemic to guarantee students' ongoing education and learning. This systematic review summarizes and synthesizes evidence elucidating the association between e-learning during the COVID-19 pandemic and anxiety among university students. Methods: A systematic search from five databases (PubMed, Wiley, Science Direct, EBSCO, and Scopus) was done, with the last search conducted on the 30th of November 2021. Full-text English articles published from November 2019 to November 2021. Mostly cross-sectional study designs were included, excluding non-peer-reviewed documents and non-English language studies. The data was recorded in the data extraction form, and all seven articles were assessed for quality using the Joanna Briggs Institute (JBI) Checklist for Analytical Cross-Sectional studies. Results: The search yielded seven eligible articles, with a total of 12,481 participants. Four articles aimed to determine the direct association between e-learning and anxiety levels. While three aimed to identify e-learning as a potential stressor during the COVID-19 pandemic, which is associated with anxiety levels. Five different tools were used to measure anxiety in the chosen articles. Four out of seven articles reviewed in this systematic review concluded that e-learning was significantly associated with anxiety. The remaining three found no association. Several factors were found to be associated with anxiety due to e-learning: females, sex/gender minorities, younger students, medical students, and staying alone. Conclusions: University students reported mild to high levels of anxiety during the COVID-19 pandemic. The effect of e-learning on anxiety levels is determined by the diverse socio-demographic backgrounds. Internet connectivity and facilities also contributed to anxiety levels during e-learning. Limitations of this review include selection bias, small sample size, and the cross-sectional study designs, which could not establish a causal relationship. Evidence from stronger study designs is needed to confirm the association and establish a causation link of anxiety due to e-learning methods. © Journal of Public Health and Emergency. All rights reserved.\",\"PeriodicalId\":92257,\"journal\":{\"name\":\"Journal of public health and emergency\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of public health and emergency\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21037/jphe-22-61\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of public health and emergency","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/jphe-22-61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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E-learning during COVID-19 and anxiety levels among university students: a systematic review
Background: E-learning was widely used in universities during the COVID-19 epidemic to guarantee students' ongoing education and learning. This systematic review summarizes and synthesizes evidence elucidating the association between e-learning during the COVID-19 pandemic and anxiety among university students. Methods: A systematic search from five databases (PubMed, Wiley, Science Direct, EBSCO, and Scopus) was done, with the last search conducted on the 30th of November 2021. Full-text English articles published from November 2019 to November 2021. Mostly cross-sectional study designs were included, excluding non-peer-reviewed documents and non-English language studies. The data was recorded in the data extraction form, and all seven articles were assessed for quality using the Joanna Briggs Institute (JBI) Checklist for Analytical Cross-Sectional studies. Results: The search yielded seven eligible articles, with a total of 12,481 participants. Four articles aimed to determine the direct association between e-learning and anxiety levels. While three aimed to identify e-learning as a potential stressor during the COVID-19 pandemic, which is associated with anxiety levels. Five different tools were used to measure anxiety in the chosen articles. Four out of seven articles reviewed in this systematic review concluded that e-learning was significantly associated with anxiety. The remaining three found no association. Several factors were found to be associated with anxiety due to e-learning: females, sex/gender minorities, younger students, medical students, and staying alone. Conclusions: University students reported mild to high levels of anxiety during the COVID-19 pandemic. The effect of e-learning on anxiety levels is determined by the diverse socio-demographic backgrounds. Internet connectivity and facilities also contributed to anxiety levels during e-learning. Limitations of this review include selection bias, small sample size, and the cross-sectional study designs, which could not establish a causal relationship. Evidence from stronger study designs is needed to confirm the association and establish a causation link of anxiety due to e-learning methods. © Journal of Public Health and Emergency. All rights reserved.