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

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 w

SUBMITTER: Bai W 

PROVIDER: S-EPMC8433813 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature