The Anxiety and Depression of International Medical Students during COVID-19 Pandemic: A Cross-Sectional Study.
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| Title: | The Anxiety and Depression of International Medical Students during COVID-19 Pandemic: A Cross-Sectional Study. |
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| Authors: | Chen, Xiaoqing, Sun, Hong |
| Source: | Perspectives in Psychiatric Care. 3/12/2024, Vol. 2024, p1-9. 9p. |
| Subjects: | Mental depression risk factors, Risk assessment, Cross-sectional method, Mental health, T-test (Statistics), Questionnaires, Logistic regression analysis, Kruskal-Wallis Test, Anxiety, Descriptive statistics, Internet, Mann Whitney U Test, Chi-squared test, Foreign students, Financial stress, Odds ratio, Analysis of variance, Statistics, Psychology of medical students, Sociodemographic factors, Psychological tests, Data analysis software, Psychosocial factors, Mental depression, COVID-19 pandemic |
| Geographic Terms: | China |
| Abstract: | The COVID-19 pandemic has inflicted physical harm and exacerbated a significant mental health crisis, warranting greater attention. This study investigated the prevalence of anxiety and depression among international medical students (IMSs) during the pandemic and explored its correlation with demographic factors. Participants completed a comprehensive questionnaire encompassing demographic details, the Zung self-rating anxiety scale, and the Zung self-rating depression scale. The findings revealed that 23.27% of IMSs reported anxiety, while 48.52% experienced symptoms of depression. Multivariate logistic regression analysis identified poor health conditions and limited access to the family as independent risk factors for anxiety. At the same time, depression was associated with both compromised health and notable financial burdens. This study provides crucial insights for policymakers, college administrators, and government authorities, urging proactive measures to support and manage the wellbeing of IMSs during pandemic situations. [ABSTRACT FROM AUTHOR] |
| Copyright of Perspectives in Psychiatric Care is the property of Wiley-Blackwell 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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