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- Title
Personality portraits, resilience, and professional identity among nursing students: a cross-sectional study.
- Authors
Wu, Xiaona; Lu, Yingzi; Zeng, Yihao; Han, Hui; Sun, Xiaoming; Zhang, Jiapeng; Wei, Ning; Ye, Zengjie
- Abstract
Background: The lack of professional identity can impede the transition from nursing students to qualified nurses and exacerbate the shortage of health care professionals. Personality is important to resilience-building and professional identity development in nursing students. However, the associations among personality, resilience, and professional identity are less explored. The study aims to identify latent subtypes of personality, to evaluate the mediating role of resilience between personality and professional identity in nursing students, and to provide practical guidance for educators' subsequent interventions with nursing students' professional identity. Methods: 1397 nursing students were recruited from Be Resilient to Nursing Career (BRNC) between October 2020 and April 2022 by cluster sampling from 4 universities in China. NEO Five-Factor Inventory, 10-item Connor-Davidson Resilience Scale, and Professional Identity Questionnaire for Undergraduate Students were administered. Analyses of latent profiles and mediations were performed. Results: Three latent personality types were identified: Over-sensitivity (35.4%), Ordinary (53.8%), and Flexibility (10.8%). Nursing role model was found to be a significant indicator of personality (Ordinary as ref, Over-sensitivity: OR = 0.73, 95% CI: 0.57–0.93, P = 0.010; Flexibility: OR = 1.85, 95% CI: 1.29–2.65, P = 0.001). The association between personality portraits and professional identity were significantly mediated by resilience (P < 0.05). Conclusions: There exists heterogeneity in nursing students' personality. Resilience plays a significant role in mediating the relationship between personality and professional identity.
- Subjects
CHINA; PSYCHOLOGY of college students; PSYCHOLOGICAL resilience; CROSS-sectional method; STATISTICAL correlation; DATA analysis; T-test (Statistics); RESEARCH funding; PERSONALITY assessment; QUESTIONNAIRES; HUMAN research subjects; SEX distribution; LOGISTIC regression analysis; PROFESSIONAL identity; AGE distribution; MULTIVARIATE analysis; DESCRIPTIVE statistics; LATENT structure analysis; ODDS ratio; RESEARCH; CLUSTER sampling; CONCEPTUAL structures; INFORMED consent (Medical law); ANALYSIS of variance; STATISTICS; PSYCHOLOGICAL tests; DATA analysis software; FACTOR analysis; CONFIDENCE intervals; NURSING students; NURSE educators
- Publication
BMC Nursing, 2024, Vol 23, Issue 1, p1
- ISSN
1472-6955
- Publication type
Article
- DOI
10.1186/s12912-024-02007-7