Zhang Sijun, Xiao Ke, Tian Zhen
Institute of Educational Sciences, Hunan University, Changsha 410012, China.
Medical Management Department, Health Commission of Hebei Province, Shijiazhuang 050000, China.
Behav Sci (Basel). 2024 Nov 21;14(12):1117. doi: 10.3390/bs14121117.
Although many studies have examined the relationship between the five dimensions of personality and nurse burnout, few studies have examined the relationship between nurse burnout and the overall personality profile. In addition, nurses' demographic characteristics have been found to be related to nurses' burnout level, but the results have been inconsistent. This study aimed to determine personality profiles based on the Big Five personality model in a sample of Chinese nurses then analyze the relationship between burnout and personality profiles and demographics. A total of 1423 nurses were sampled and assessed using the Big Five Inventory and the Oldenburg Burnout Inventory. A k-means cluster analysis was used to divide participants into different personality profiles. Multivariate analysis of variance and binomial logistic regression were used to examine the relationship of burnout with personality profiles and demographics. Cluster analysis identified three personality profiles among nurses: resilient, ordinary, and distressed. For each dimension of the Big Five Inventory and Oldenburg Burnout Inventory, there was a significant difference between different personality profiles, with effect sizes being from 0.37 to 0.57. Nurses with a distressed personality profile were 4.52 times more likely to be diagnosed with burnout than nurses with an ordinary profile, while nurses with a resilient personality profile had a 55% reduction in burnout compared to nurses with an ordinary profile. The results suggested that hospital administrators should focus on nurses with a distressed personality profile to identify potential burnout nurses as early as possible. The findings also enabled hospital administrators to consider the different personality profiles of nurses and the specific requirements of the job to select suitable candidates.
尽管许多研究探讨了人格五维度与护士职业倦怠之间的关系,但很少有研究考察护士职业倦怠与整体人格特征之间的关系。此外,已发现护士的人口统计学特征与护士的职业倦怠水平有关,但结果并不一致。本研究旨在基于大五人格模型确定中国护士样本中的人格特征,然后分析职业倦怠与人格特征及人口统计学之间的关系。共抽取1423名护士,使用大五人格量表和奥尔登堡倦怠量表进行评估。采用k均值聚类分析将参与者分为不同的人格特征类型。使用多变量方差分析和二项逻辑回归来检验职业倦怠与人格特征及人口统计学之间的关系。聚类分析在护士中识别出三种人格特征类型:坚韧型、普通型和困扰型。在大五人格量表和奥尔登堡倦怠量表的每个维度上,不同人格特征类型之间存在显著差异,效应大小在0.37至0.57之间。具有困扰型人格特征的护士被诊断为职业倦怠的可能性是普通型护士的4.52倍,而具有坚韧型人格特征的护士与普通型护士相比,职业倦怠降低了55%。结果表明,医院管理人员应关注具有困扰型人格特征的护士,以便尽早识别潜在的职业倦怠护士。这些发现还使医院管理人员能够考虑护士的不同人格特征和工作的具体要求,以选拔合适的候选人。