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Predicting nursing students’ psychological well-being: network analysis based on a model of thriving through relationships

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dc.contributor.author Zhou L.
dc.contributor.author Sukpasjaroen K.
dc.contributor.author Wu Y.M.
dc.contributor.author Wang L.
dc.contributor.author Chankoson T.
dc.contributor.author Cai E.L.
dc.date.accessioned 2022-12-14T03:17:09Z
dc.date.available 2022-12-14T03:17:09Z
dc.date.issued 2022
dc.identifier.issn 14726920
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132079647&doi=10.1186%2fs12909-022-03517-1&partnerID=40&md5=b3fedca8795eccf6b78f4df88701d238
dc.identifier.uri https://ir.swu.ac.th/jspui/handle/123456789/27323
dc.description.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).
dc.language en
dc.publisher BioMed Central Ltd
dc.subject Network analysis
dc.subject Nursing students
dc.subject Psychological well-being
dc.subject Relationships
dc.title Predicting nursing students’ psychological well-being: network analysis based on a model of thriving through relationships
dc.type Article
dc.rights.holder Scopus
dc.identifier.bibliograpycitation Journal of Advanced Nursing. Vol , No. (2022), p.-
dc.identifier.doi 10.1186/s12909-022-03517-1


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