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

IF 3.1 2区 医学 Q1 NURSING BMC Nursing Pub Date : 2025-01-15 DOI:10.1186/s12912-025-02718-5
Shutong Yang, Qingling Hao, Hongyu Sun, Yuan Yang, Jiao Liu, Cui Li, Yunsheng Fu, Cong Yao, Guoshuai Luo
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引用次数: 0

摘要

背景:护士一直站在抗击COVID-19大流行的最前线,面临着工作时间延长和压力增加,容易产生心理困扰。本研究旨在调查新冠肺炎大流行期间和之后中国一线护士严重焦虑的患病率及其相关因素。方法:于2022年11 - 12月和2023年4 - 7月进行大规模多中心调查。数据是通过在线调查收集的,包括人口特征、工作相关因素、焦虑、抑郁和睡眠障碍。统计分析包括卡方检验、t检验和logistic回归,以评估严重焦虑的发生率和影响因素。结果:共纳入大流行期间护士816名,大流行后护士763名。大流行期间严重焦虑的患病率(52.3%)显著高于大流行后的患病率(8.0%)。护理职称、夜班频次、文化程度、运动频次、COVID-19感染状况、经济压力、工作压力等因素在两期间存在显著差异。二元logistic回归显示严重焦虑与夜班频率、COVID-19感染状况、护理职称、抑郁和睡眠障碍等因素相关。受试者工作特征分析显示对重度焦虑有良好的预测价值。结论:该研究强调了在COVID-19大流行期间和之后了解和解决一线护士严重焦虑的重要性。未来的研究应深入研究护士的长期心理影响,并采取有效的干预措施支持护士的心理健康。
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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.

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来源期刊
BMC Nursing
BMC Nursing Nursing-General Nursing
CiteScore
3.90
自引率
6.20%
发文量
317
审稿时长
30 weeks
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.
期刊最新文献
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