Shutong Yang, Qingling Hao, Hongyu Sun, Yuan Yang, Jiao Liu, Cui Li, Yunsheng Fu, Cong Yao, Guoshuai Luo
{"title":"COVID-19大流行期间和之后一线护士严重焦虑的患病率及其相关因素:一项大规模多中心研究","authors":"Shutong Yang, Qingling Hao, Hongyu Sun, Yuan Yang, Jiao Liu, Cui Li, Yunsheng Fu, Cong Yao, Guoshuai Luo","doi":"10.1186/s12912-025-02718-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Nurses have been at the forefront of the battle against the COVID-19 pandemic, facing extended work hours and heightened stress, predisposing them to psychological distress. This study aims to investigate the prevalence and correlates of severe anxiety among frontline nurses in China during and after the COVID-19 pandemic.</p><p><strong>Methods: </strong>A large-scale multi-center survey was conducted from November to December 2022 and from April to July 2023. Data were collected using online surveys, covering demographic characteristics, job-related factors, anxiety, depression, and sleep disorders. Statistical analyses, including chi-square tests, t-tests, and logistic regression, were performed to assess the incidence and factors influencing severe anxiety.</p><p><strong>Results: </strong>The study included 816 nurses during the pandemic and 763 nurses after the pandemic. The prevalence of severe anxiety during the pandemic (52.3%) was significantly higher than after the pandemic (8.0%). Factors such as nursing title, night shift frequency, educational level, exercise frequency, COVID-19 infection status, economic pressure, and work pressure showed significant differences between the two periods. Binary logistic regression revealed associations between severe anxiety and factors such as night shift frequency, COVID-19 infection status, nursing title, depression, and sleep disorders. Receiver Operating Characteristic analysis demonstrated good predictive value for severe anxiety.</p><p><strong>Conclusion: </strong>The study underscores the importance of understanding and addressing severe anxiety among frontline nurses during and after the COVID-19 pandemic. Future research should delve into long-term psychological effects and implement effective intervention measures to support nurses' mental health.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"24 1","pages":"54"},"PeriodicalIF":3.1000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11736933/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence and correlates of severe anxiety among front-line nurses during and after the COVID-19 pandemic: a large-scale multi-center study.\",\"authors\":\"Shutong Yang, Qingling Hao, Hongyu Sun, Yuan Yang, Jiao Liu, Cui Li, Yunsheng Fu, Cong Yao, Guoshuai Luo\",\"doi\":\"10.1186/s12912-025-02718-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Nurses have been at the forefront of the battle against the COVID-19 pandemic, facing extended work hours and heightened stress, predisposing them to psychological distress. This study aims to investigate the prevalence and correlates of severe anxiety among frontline nurses in China during and after the COVID-19 pandemic.</p><p><strong>Methods: </strong>A large-scale multi-center survey was conducted from November to December 2022 and from April to July 2023. Data were collected using online surveys, covering demographic characteristics, job-related factors, anxiety, depression, and sleep disorders. Statistical analyses, including chi-square tests, t-tests, and logistic regression, were performed to assess the incidence and factors influencing severe anxiety.</p><p><strong>Results: </strong>The study included 816 nurses during the pandemic and 763 nurses after the pandemic. The prevalence of severe anxiety during the pandemic (52.3%) was significantly higher than after the pandemic (8.0%). Factors such as nursing title, night shift frequency, educational level, exercise frequency, COVID-19 infection status, economic pressure, and work pressure showed significant differences between the two periods. Binary logistic regression revealed associations between severe anxiety and factors such as night shift frequency, COVID-19 infection status, nursing title, depression, and sleep disorders. Receiver Operating Characteristic analysis demonstrated good predictive value for severe anxiety.</p><p><strong>Conclusion: </strong>The study underscores the importance of understanding and addressing severe anxiety among frontline nurses during and after the COVID-19 pandemic. Future research should delve into long-term psychological effects and implement effective intervention measures to support nurses' mental health.</p>\",\"PeriodicalId\":48580,\"journal\":{\"name\":\"BMC Nursing\",\"volume\":\"24 1\",\"pages\":\"54\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11736933/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12912-025-02718-5\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12912-025-02718-5","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Prevalence and correlates of severe anxiety among front-line nurses during and after the COVID-19 pandemic: a large-scale multi-center study.
Background: Nurses have been at the forefront of the battle against the COVID-19 pandemic, facing extended work hours and heightened stress, predisposing them to psychological distress. This study aims to investigate the prevalence and correlates of severe anxiety among frontline nurses in China during and after the COVID-19 pandemic.
Methods: A large-scale multi-center survey was conducted from November to December 2022 and from April to July 2023. Data were collected using online surveys, covering demographic characteristics, job-related factors, anxiety, depression, and sleep disorders. Statistical analyses, including chi-square tests, t-tests, and logistic regression, were performed to assess the incidence and factors influencing severe anxiety.
Results: The study included 816 nurses during the pandemic and 763 nurses after the pandemic. The prevalence of severe anxiety during the pandemic (52.3%) was significantly higher than after the pandemic (8.0%). Factors such as nursing title, night shift frequency, educational level, exercise frequency, COVID-19 infection status, economic pressure, and work pressure showed significant differences between the two periods. Binary logistic regression revealed associations between severe anxiety and factors such as night shift frequency, COVID-19 infection status, nursing title, depression, and sleep disorders. Receiver Operating Characteristic analysis demonstrated good predictive value for severe anxiety.
Conclusion: The study underscores the importance of understanding and addressing severe anxiety among frontline nurses during and after the COVID-19 pandemic. Future research should delve into long-term psychological effects and implement effective intervention measures to support nurses' mental health.
期刊介绍:
BMC Nursing is an open access, peer-reviewed journal that considers articles on all aspects of nursing research, training, education and practice.