Publication: Predicting nursing students’ psychological well-being: network analysis based on a model of thriving through relationships
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Issued Date
2022
Resource Type
Language
eng
File Type
application/pdf
ISSN
14726920
Rights Holder(s)
Scopus
Bibliographic Citation
Journal of Advanced Nursing. Vol , No. (2022), p.-
Suggested Citation
Zhou L., Sukpasjaroen K., Wu Y.M., Wang L., Chankoson T., Cai E.L. Predicting nursing students’ psychological well-being: network analysis based on a model of thriving through relationships. Journal of Advanced Nursing. Vol , No. (2022), p.-. doi:10.1186/s12909-022-03517-1 Retrieved from: https://hdl.handle.net/20.500.14740/9838
Author(s)
Abstract
Background: Psychological well-being plays a vital role in nursing students’ mental health and affects their decisions to stay in the nursing profession, particularly during the COVID-19 outbreak. Close relationships are undeniably linked to psychological well-being, but it is unknown how the specific pathways through which close relationships are related to each other and which are most strongly linked to nursing students’ psychological well-being. Aims: To explore the network structure, central and bridge factors among well-being characteristics, and predictors based on a model of thriving through relationships. Methods: A cross-sectional research design was used with a sample of undergraduate nursing students (531 participants from the Southwest part of China). We used a network model to analyze the network structure of perceived social support, mindfulness, self-integrity, self-compassion, professional self-concept, savoring, intentional self-regulation, non-relational self-expansion, relational self-expansion, attachment insecurity, and psychological well-being. Results: A highly interconnected network of psychological well-being featured predictors and traits were formed. Node 8 (self-kindness), node 9 (self-judgment), and node 23 (non-relational self-expansion) were the predictors with the highest centrality in the network. Perceived social support and professional self-concept were most central in linking predictors to psychological well-being traits. Attachment insecurity was a non-supportive factor for predicting psychological well-being among female nursing students. Conclusions: Interventions based on these supportive/non-supportive predictors, which operate on different psychological levels, hold promise to achieve positive effects on psychological well-being among nursing students. © 2022, The Author(s).