Prevalence and correlates of depression and anxiety among nursing staff in the post-COVID-19 era: a cross-sectional study from southern Iran

新冠疫情后时代伊朗南部护理人员抑郁和焦虑的患病率及其相关因素:一项横断面研究

阅读:1

Abstract

BACKGROUND: The COVID-19 pandemic had a significant negative impact on the mental health of healthcare workers globally, with some studies reporting increase in depression and anxiety rates. While the acute phase of the pandemic has subsided, concerns remain about the long-term psychological effects on frontline staff. This study aimed to assess the prevalence and correlates of depression and anxiety among nursing staff in the post-COVID-19 era. METHODS: This cross-sectional study was conducted between January 2023 and March 2023 among nursing staff at government teaching hospitals affiliated with Shiraz University of Medical Sciences in southern Iran. All nursing staff willing to participate and provide written informed consent were included. Participants completed questionnaires assessing demographics (age, gender, marital status, education level) and using Beck's Depression and Anxiety Inventories. Nurses who had left the workplace or submitted incomplete questionnaires were excluded. RESULTS: A total of 890 nurses participated. The mean age was 34.89 ± 7.84 years, and 88% were female. The mean depression and anxiety scores were 20.79 ± 13.69 and 22.0 ± 13.38, respectively, with 26.7% exhibiting severe depression and 38.4% experiencing severe anxiety. Stepwise regression analysis revealed significant associations between anxiety scores and psychiatric drug usage (P < 0.001), working hours per week (P < 0.001), department (P = 0.02), and gender (P = 0.028). Similarly, depression scores were significantly correlated with psychiatric drug usage (P < 0.001), working hours per week (P = 0.001), and gender (P = 0.018). CONCLUSION: The prevalence and severity of anxiety and depression among nursing staff in this post-COVID-19 setting appear elevated compared to pre-pandemic levels/national averages. These findings highlight the need for specific organizational and policy interventions. However, interpretation should consider the crosssectional design, sampling bias, and absence of prepandemic baseline data.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。