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Prevalence and influencing factors of sleep disturbance among medical students under the COVID-19 pandemic.

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Title: Prevalence and influencing factors of sleep disturbance among medical students under the COVID-19 pandemic.
Authors: Wang, Shuo (AUTHOR), Luo, Guoshuai (AUTHOR), Zhang, Xue (AUTHOR), Jing, Yifan (AUTHOR), Zaimina (AUTHOR), Yao, Cong (AUTHOR), Li, Meijuan (AUTHOR), Chen, Hongli (AUTHOR), Li, Jie (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Feb2025, Vol. 275 Issue 1, p89-98. 10p.
Subjects: Cognitive psychology, COVID-19 pandemic, Medical students, Sleep quality, Medical sciences, Sleep interruptions
Abstract: Background: Medical students may feel severe psychological stress during COVID-19, which might impair their ability to sleep. This research aimed to look at the risk factors for sleep disturbance and the prevalence of sleep disturbance among medical students. Methods: 538 medical students in total were recruited for this research. Anxiety, depression, and sleep disturbance were assessed using the Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), and Pittsburgh Sleep Quality Index (PSQI). To evaluate the possible risk variables, we computed descriptive statistics for each assessment item and ran univariate and logistic regression analyses. Results: Medical students had a 63.6% prevalence of sleep disturbance (n = 342). According to logistic regression, introverted students are 1.77 times more likely than extroverted students to have sleep disturbance (OR = 1.77, 95% CI 1.08–2.91). Medical students with depression had a 5.6-times higher risk of sleep disturbance than those without depression (OR = 5.60, 95% CI 3.43–9.15). Additionally, medical students with anxiety were 3.95 times more likely than those without anxiety to have sleep disturbance (OR = 3.95, 95% CI 2.04–7.64). Conclusions: According to this research, the COVID-19 pandemic caused significant sleep disturbance among medical students. Additionally, among medical students, introversion, anxiety, and depression were risk factors for sleep disturbance. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Prevalence and influencing factors of sleep disturbance among medical students under the COVID-19 pandemic.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Shuo%22">Wang, Shuo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Guoshuai%22">Luo, Guoshuai</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xue%22">Zhang, Xue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jing%2C+Yifan%22">Jing, Yifan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zaimina%22">Zaimina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Cong%22">Yao, Cong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Meijuan%22">Li, Meijuan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Hongli%22">Chen, Hongli</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Jie%22">Li, Jie</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Feb2025, Vol. 275 Issue 1, p89-98. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Cognitive+psychology%22">Cognitive psychology</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+students%22">Medical students</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+quality%22">Sleep quality</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+sciences%22">Medical sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+interruptions%22">Sleep interruptions</searchLink>
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  Data: Background: Medical students may feel severe psychological stress during COVID-19, which might impair their ability to sleep. This research aimed to look at the risk factors for sleep disturbance and the prevalence of sleep disturbance among medical students. Methods: 538 medical students in total were recruited for this research. Anxiety, depression, and sleep disturbance were assessed using the Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), and Pittsburgh Sleep Quality Index (PSQI). To evaluate the possible risk variables, we computed descriptive statistics for each assessment item and ran univariate and logistic regression analyses. Results: Medical students had a 63.6% prevalence of sleep disturbance (n = 342). According to logistic regression, introverted students are 1.77 times more likely than extroverted students to have sleep disturbance (OR = 1.77, 95% CI 1.08–2.91). Medical students with depression had a 5.6-times higher risk of sleep disturbance than those without depression (OR = 5.60, 95% CI 3.43–9.15). Additionally, medical students with anxiety were 3.95 times more likely than those without anxiety to have sleep disturbance (OR = 3.95, 95% CI 2.04–7.64). Conclusions: According to this research, the COVID-19 pandemic caused significant sleep disturbance among medical students. Additionally, among medical students, introversion, anxiety, and depression were risk factors for sleep disturbance. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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