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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Background: Depression is a major risk factor for the morbidity and mortality of cardiovascular disease. A transtheoretical model-based intervention and motivational interviewing have been used to change health risk behaviors and have demonstrated positive effects. To our knowledge, no studies of patients with coronary heart disease (CHD) have used a transtheoretical model-based intervention and motivational interviewing as an intervention to provide dynamic education. Therefore, this study aimed to determine the effects of the transtheoretical model-based intervention and motivational interviewing on the management of depression in hospitalized patients with CHD. Method: A randomized controlled trial was designed. A total of 110 participants were randomly divided into an intervention group (n = 55) and a control group (n = 55). The Hamilton Rating Scale for Depression and the Depression Prevention & Management Survey items (stages of change, perceived benefits, perceived barriers, process of change and self-efficacy) were used to collect data at all time points. Analysis of covariance, chi-square test and repeated measures analysis of variance were used to analyze the data. Results: After the intervention, there were more positive changes in stages of change, higher scores for the cognitive and behavioral levels, the perceived benefits, and self-efficacy, and lower perceived barriers and depression in the intervention group than in the control group. Finally, there were statistically significant differences in the depression scores at different time points in the intervention group (F = 17.814, p = 0.000 < 0.01). Conclusions: The study showed that a transtheoretical model-based intervention and motivational interviewing exert positive effects on the management of depression in hospitalized patients with CHD. Trial registration: Clinicaltrials.gov, NCT03953924 (Date assigned: 16/5/2019). Retrospectively registered.