The Network Structure of Resilience among Chinese Female Nursing Students

Abstract Background: Many nursing students will suffer from serious psychological problem. However, the intervention research on the psychological resilience of nurses is still in the exploratory stage and the efficiency of existing intervention methods remains variable because of limited comprehension of this relevant psychological construct. Therefore this study investigates the network structure of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) in Chinese female nursing students to provide a novel understanding for resilience and targets for related interventions. Methods: This study was an online cross-sectional study conducted at three medical universities from 21 August 2020 to 25 August 2020. This study adopted the CD-RISC-10, with a total of 776 participants joined in. Network analysis was conducted and the main focus is strength centrality and predictability. Results: Three edges with strongest unregularized partial correlations existed in the final network, such as between item “Able to adapt to change” and item “Can deal with whatever comes”. The items with strongest strength centrality are “Thinks of self as strong person” and “Can achieve goals despite obstacles”. Conclusions: The results may help us to gain a deeper understanding of resilience and provide educational orientation on how to make students more resilient, which may be benefit in challenge overcoming for nursing students.