Your browser doesn't support javascript.
A network analysis of anxiety and depression symptoms among Chinese nurses in the late stage of the COVID-19 pandemic.
Peng, Pu; Chen, Qiongni; Liang, Mining; Liu, Yueheng; Chen, Shubao; Wang, Yunfei; Yang, Qian; Wang, Xin; Li, Manyun; Wang, Yingying; Hao, Yuzhu; He, Li; Wang, Qianjin; Zhang, Junhong; Ma, Yuejiao; He, Haoyu; Zhou, Yanan; Li, Zejun; Xu, Huixue; Long, Jiang; Qi, Chang; Tang, Yi-Yuan; Liao, Yanhui; Tang, Jinsong; Wu, Qiuxia; Liu, Tieqiao.
  • Peng P; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Chen Q; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Liang M; Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Liu Y; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Chen S; Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Wang Y; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Yang Q; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Wang X; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Li M; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Wang Y; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Hao Y; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • He L; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Wang Q; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Zhang J; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Ma Y; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • He H; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Zhou Y; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Li Z; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Xu H; Department of Psychology, College of Education, Hunan First Normol University, Changsha, China.
  • Long J; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Qi C; Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital, Changsha, China.
  • Tang YY; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Liao Y; Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Tang J; Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wu Q; Department of Psychiatry, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.
  • Liu T; College of Health Solutions, Arizona State University, Phoenix, AZ, United States.
Front Public Health ; 10: 996386, 2022.
Article in English | MEDLINE | ID: covidwho-2123474
ABSTRACT

Background:

Nurses 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.

Method:

A 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.

Result:

The 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.

Conclusion:

Restlessness 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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Depression / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.996386

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Depression / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.996386