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浙江省放松防控措施后大规模新型冠状病毒肺炎检测期间医护人员对DASS-21调查的情绪反应及其变化轨迹

 

Authors Lu L , Sheng D, Xia X, Chen G, Liang J, Shen X , Zheng G

Received 25 April 2024

Accepted for publication 27 September 2024

Published 23 October 2024 Volume 2024:17 Pages 2467—2482

DOI https://doi.org/10.2147/RMHP.S475482

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Kyriakos Souliotis

Lifen Lu,1 Di Sheng,1 Xiaowei Xia,2 Guanghui Chen,3 Jiali Liang,4 Xiulan Shen,1 Gui Zheng1 

1Department of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China; 2Ministry of Health, the Third Hospital of Ninghai County, Ningbo, Zhejiang, People’s Republic of China; 3Ministry of Health, the Liangzhu Street Community Health Service Center, Yuhang District, Hangzhou, Zhejiang, People’s Republic of China; 4Department of Nursing, the First People’s Hospital of Yuhang District, Hangzhou, Zhejiang, People’s Republic of China

Correspondence: Xiulan Shen; Gui Zheng, Department of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China, Email shenxl@zju.edu.cn; zhenggui1119@zju.edu.cn

Aim: To investigate the emotional response of hospital staff to the Depression Anxiety Stress Scale-21 (DASS-21) over the COVID-19 pandemic and after the relaxation of prevention and control measures in Zhejiang Province, China, and identify influencing factors.
Design: Multicenter online cross-sectional design.
Methods: From January 10, 2023, to January 20, 2023, 1054 hospital employees in Zhejiang, China, were recruited using WeChat. Data was gathered via online, self-administered surveys. T-tests and one-way analyses of variance, Pearson’s correlation analysis, and multiple linear stepwise regression analyses were used to examine the data.
Results: More than 90% of hospital employees were infected with COVID-19. Through regression analysis, the following variables were found to be independent predictors of emotional response to DASS-21: resilience (− 13.346, P < 0.0001), sleep (14.689, P < 0.0001), friend support (− 4.278, P < 0.0001), education level (2.699, P = 0.007), and marriage (− 2.214, P = 0.027). The emotional responses were not as severe as predicted, but they were still well above the Chinese norm. A longitudinal comparison of DASS-21 emotional responses with similar studies showed a parabolic downward trend over time.
Conclusion: Our results identified education level, marriage, friend support, resilience, and sleep as independent predictors of emotional responses to the DASS-21 among hospital workers in this outbreak. Improving the mental resilience and sleep status of staff is a key target. Unmarried medical personnel with higher education should be given greater attention and support by management. In addition, there is still room for further improvement in the government and societal responses to similar outbreaks. The study also found a parabolic downward trend in DASS-21 emotional responses among hospital workers during the COVID-19 outbreak over time.

Keywords: COVID-19, hospital staff, DASS-21 emotional response, influencing factors, trajectory of change