4.7 Article

Network analysis of anxiety and depressive symptoms among nursing students during the COVID-19 pandemic*

期刊

JOURNAL OF AFFECTIVE DISORDERS
卷 294, 期 -, 页码 753-760

出版社

ELSEVIER
DOI: 10.1016/j.jad.2021.07.072

关键词

Depression; Anxiety; Nursing students; Network analysis; COVID-19

资金

  1. National Science and Technology Major Project for investigational new drug [2018ZX09201-014]
  2. Beijing Municipal Science & Technology Commission [Z181100001518005]
  3. 2020 Higher Education Teaching Achieve-ment Cultivation Project of Gansu Province
  4. Fundamental Research Funds for the Central Universities [2020YJ065]
  5. University of Macau [MYRG2019-00066-FHS]

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This study examined the characteristics of anxiety and depressive symptom networks of Chinese nursing students during the COVID-19 pandemic, identifying irritability, uncontrollable worry, trouble relaxing, and depressed mood as central symptoms. The study suggests timely, systemic multi-level interventions targeting central and bridge symptoms may be effective in alleviating co-occurring experiences of anxiety and depression in this population.
Background: The 2019 coronavirus disease (COVID-19) pandemic has impacted the mental health and wellbeing 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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