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Network analysis of anxiety and depressive symptoms among nursing students during the COVID-19 pandemic.
Bai, Wei; Xi, Hai-Tao; Zhu, Qianqian; Ji, Mengmeng; Zhang, Hongyan; Yang, Bing-Xiang; Cai, Hong; Liu, Rui; Zhao, Yan-Jie; Chen, Li; Ge, Zong-Mei; Wang, Zhiwen; Han, Lin; Chen, Pan; Liu, Shuo; Cheung, Teris; Tang, Yi-Lang; Jackson, Todd; An, Fengrong; Xiang, Yu-Tao.
  • Bai W; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Institute of Advanced Studies in
  • Xi HT; Jilin University Nursing College, Jilin province, China.
  • Zhu Q; School of Nursing, Capital Medical University, Beijing, China; The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Me
  • Ji M; Peking University School of Nursing, Beijing, China.
  • Zhang H; Lanzhou University School of Nursing, Gansu province, China.
  • Yang BX; Atlanta VA Medical Center, Decatur, Georgia, GA, USA.
  • Cai H; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Institute of Advanced Studies in
  • Liu R; The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China.
  • Zhao YJ; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Institute of Advanced Studies in
  • Chen L; Jilin University Nursing College, Jilin province, China.
  • Ge ZM; Jilin University Nursing College, Jilin province, China.
  • Wang Z; Peking University School of Nursing, Beijing, China.
  • Han L; Lanzhou University School of Nursing, Gansu province, China.
  • Chen P; Atlanta VA Medical Center, Decatur, Georgia, GA, USA.
  • Liu S; Atlanta VA Medical Center, Decatur, Georgia, GA, USA.
  • Cheung T; School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Tang YL; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA; Atlanta VA Medical Center, Decatur, Georgia, GA, USA.
  • Jackson T; Department of Psychology, University of Macau, Taipa, Macau SAR, China.
  • An F; The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China. Electronic address: afrylm@sina.co
  • Xiang YT; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Institute of Advanced Studies in
J Affect Disord ; 294: 753-760, 2021 Nov 01.
Article in English | MEDLINE | ID: covidwho-1322168
ABSTRACT

BACKGROUND:

The 2019 coronavirus disease (COVID-19) pandemic has impacted the mental health and well-being of medical personnel, including nursing students. Network analysis provides a deeper characterization of symptom-symptom interactions in mental disorders. The aim of this study was to elucidate characteristics of anxiety and depressive symptom networks of Chinese nursing students during the COVID-19 pandemic.

METHOD:

A total of 932 nursing students were included. Anxiety and depressive symptom were measured using the seven-item Generalized Anxiety Disorder Scale (GAD-7) and two-item Patient Health Questionnaire (PHQ-2), respectively. Central symptoms and bridge symptoms were identified via centrality indices and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure.

RESULTS:

Irritability, Uncontrollable worry, Trouble relaxing, and Depressed mood had the highest centrality values. Three bridge symptoms (Depressed mood, Nervousness, and Anhedonia) were also identified. Neither gender nor region of residence was associated with network global strength, distribution of edge weights or individual edge weights.

LIMITATIONS:

Data were collected in a cross-sectional study design, therefore, causal relations and dynamic changes between anxiety and depressive symptoms over time could not be inferred. Generalizability of findings may be limited to Chinese nursing students during a particular phase of the current pandemic.

CONCLUSIONS:

Irritability, Uncontrollable worry, Trouble relaxing, and Depressed mood constituted central symptoms maintaining the anxiety-depression network structure of Chinese nursing students during the pandemic. Timely, systemic multi-level interventions targeting central symptoms and bridge symptoms may be effective in alleviating co-occurring experiences of anxiety and depression in this population.
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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Students, Nursing / COVID-19 Subject: Students, Nursing / COVID-19 Type of study: Diagnostic study / Prevalence study / Prognostic study / Risk factors Language: English Journal: J Affect Disord Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Students, Nursing / COVID-19 Subject: Students, Nursing / COVID-19 Type of study: Diagnostic study / Prevalence study / Prognostic study / Risk factors Language: English Journal: J Affect Disord Year: 2021
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