Frontiers in Public Health (Nov 2022)
A network analysis of anxiety and depression symptoms among Chinese nurses in the late stage of the COVID-19 pandemic
- Pu Peng,
- Qiongni Chen,
- Qiongni Chen,
- Mining Liang,
- Mining Liang,
- Yueheng Liu,
- Shubao Chen,
- Yunfei Wang,
- Qian Yang,
- Xin Wang,
- Manyun Li,
- Yingying Wang,
- Yuzhu Hao,
- Li He,
- Qianjin Wang,
- Junhong Zhang,
- Yuejiao Ma,
- Haoyu He,
- Haoyu He,
- Yanan Zhou,
- Yanan Zhou,
- Zejun Li,
- Huixue Xu,
- Jiang Long,
- Chang Qi,
- Yi-Yuan Tang,
- Yanhui Liao,
- Jinsong Tang,
- Qiuxia Wu,
- Tieqiao Liu
Affiliations
- Pu Peng
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Qiongni Chen
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Qiongni Chen
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China
- Mining Liang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Mining Liang
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China
- Yueheng Liu
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Shubao Chen
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Yunfei Wang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Qian Yang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Xin Wang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Manyun Li
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Yingying Wang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Yuzhu Hao
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Li He
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Qianjin Wang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Junhong Zhang
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Yuejiao Ma
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Haoyu He
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Haoyu He
- Department of Psychology, College of Education, Hunan First Normol University, Changsha, China
- Yanan Zhou
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Yanan Zhou
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital, Changsha, China
- Zejun Li
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Huixue Xu
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Jiang Long
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Chang Qi
- Department of Psychiatry, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
- Yi-Yuan Tang
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States
- Yanhui Liao
- Department of Psychiatry, Sir Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Jinsong Tang
- Department of Psychiatry, Sir Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Qiuxia Wu
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Tieqiao Liu
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- DOI
- https://doi.org/10.3389/fpubh.2022.996386
- Journal volume & issue
-
Vol. 10
Abstract
BackgroundNurses are at high risk for depression and anxiety symptoms after the outbreak of the COVID-19 pandemic. We aimed to assess the network structure of anxiety and depression symptoms among Chinese nurses in the late stage of this pandemic.MethodA total of 6,183 nurses were recruited across China from Oct 2020 to Apr 2021 through snowball sampling. We used Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder scale-7 (GAD-7) to assess depression and anxiety, respectively. We used the Ising model to estimate the network. The index “expected influence” and “bridge expected influence” were applied to determine the central symptoms and bridge symptoms of the anxiety-depression network. We tested the stability and accuracy of the network via the case-dropping procedure and non-parametric bootstrapping procedure.ResultThe network had excellent stability and accuracy. Central symptoms included “restlessness”, “trouble relaxing”, “sad mood”, and “uncontrollable worry”. “Restlessness”, “nervous”, and “suicidal thoughts” served as bridge symptoms.ConclusionRestlessness emerged as the strongest central and bridge symptom in the anxiety-depression network of nurses. Intervention on depression and anxiety symptoms in nurses should prioritize this symptom.
Keywords
