Author:
Su Minyi,Feng Mingzhu,Pan Wanling,Huang Xuelan,Pan Lei,Zhu Yanling,Wang Le,Mofatteh Mohammad,Dmytriw Adam A,Liang Dongxia,Wang Shuling,Liang Wanyi,Chen Yu,Chen Yimin,Yao Weiping,Tang Qiubi
Abstract
Abstract
Objective
Medical staff, especially nurses, suffered great anxiety and stress from the COVID-19 pandemic, which negatively affected their sleep quality. In this study, we aimed to analyze the sleep quality of nursing staff after terminating the Zero-COVID-19 policy in China.
Methods
506 participants were involved in our study. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep status of the participants. Binary regression was performed to evaluate the impact factors related to sleep difficulty.
Results
The majority of participants (96.44%) suffered from sleep disturbances. There were significant differences in age, education level and front-line activity between participants with good sleep quality and sleep difficulty. Younger age (16–25 years old) was independently associated with less sleep difficulty, while front-line activity was independently associated with severe sleep difficulty.
Conclusion
Sleep disorder was very common among nurses after ending the Zero-COVID-19 policy in China. More front-line nurses suffered severe sleep difficulty in particular, which should be worthy of attention.
Publisher
Springer Science and Business Media LLC
Reference28 articles.
1. Kang L, Ma S, Chen M, et al. Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: a cross-sectional study. Brain Behav Immun. 2020;87:11–7.
2. Gab Allah AR. Challenges facing nurse managers during and beyond COVID-19 pandemic in relation to perceived organizational support. Nurs Forum. 2021;56(3):539–49.
3. García-Tudela Á, Simonelli-Muñoz AJ, Gallego-Gómez JI, et al. Impact of the COVID-19 pandemic on stress and sleep in emergency room professionals. J Clin Nurs. 2023;32(15–16):5037–45.
4. Wang ST, Wu YP, Li L, et al. Forecast for peak infections in the second wave of the Omicron after the adjustment of zero-COVID policy in the mainland of China. Infect Dis Model. 2023;8(2):562–73.
5. Goldberg EE, Lin Q, Romero-Severson EO, et al. Swift and extensive Omicron outbreak in China after sudden exit from “zero-COVID” policy. Nat Commun. 2023;14(1):3888.