Evidence map›Paper›PMID 38907353›Full record

ArticleBMC nursing2024

Personality portraits, resilience, and professional identity among nursing students: a cross-sectional study.

Xiaona Wu, Yingzi Lu, Yihao Zeng, Hui Han, Xiaoming Sun, Jiapeng Zhang, Ning Wei, Zengjie Ye

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Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
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21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaona WuDepartment of Nursing, Guangzhou Women and Children Medical Center, Guangzhou Medical University Affiliated Women and Children Medical Center, Guangzhou, People's Republic of China.
Yingzi LuDepartment of Health Management and Promotion, Guangdong Maoming Health Vocational College, Maoming, People's Republic of China.
Yihao ZengSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Hui HanSchool of Marine finance and economics, Qingdao Engineering Vocational College, Qingdao, People's Republic of China.
Xiaoming SunSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Jiapeng ZhangSchool of nursing, Medical College of Jiaying University, Meizhou, People's Republic of China.
Ning WeiSchool of nursing, Guangzhou Xinhua University, Guangzhou, People's Republic of China.
Zengjie YeSchool of Nursing, Guangzhou Medical University, Guangzhou, Guangdong Province, 511495, China. zengjieye@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methods1397 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.

resultsThree 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).

conclusionsThere exists heterogeneity in nursing students' personality. Resilience plays a significant role in mediating the relationship between personality and professional identity.

Indexed as

Latent profile analysisMediation analysisNursing studentsPersonality traitsProfessional identityPsychological resilience

Identifiers

PMID38907353
PMCPMC11191206

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.