School of Nursing, Guangzhou Medical University, Guangzhou, China.
Kiang Wu Nursing College of Macau, Macao, China.
Nurs Open. 2024 Mar;11(3):e2146. doi: 10.1002/nop2.2146.
To identify latent profiles of nurses' subjective well-being (SWB) and explore its association with social support and professional self-concept.
This study used an online survey and cross-sectional latent profile analysis design.
A total of 1009 nurses from 30 hospitals in Guangdong Province, China, were selected using convenience sampling. An online questionnaire survey comprising the following scales was distributed: Index of Well-Being, Nurses' Professional Self-concept Questionnaire and Multidimensional Scale of Perceived Social Support. Nurses' SWB was examined and categorized into profiles using nine Index of Well-being items as explicit variables and ordinal logistic regression analysis was performed to explore factors related to the distinct categories.
Nurses' SWB was divided into four latent profiles: extremely low, low, moderate and high. Regression analysis showed that social support and professional self-concept influenced SWB. There were statistically significant differences in age, title, working years, social support and professional self-concept among nurses in the different well-being categories. Ordered logistic regression analysis showed that social support and professional self-concept are associated with different SWB profiles.
识别护士主观幸福感（SWB）的潜在分布，并探讨其与社会支持和专业自我概念的关系。
本研究采用在线调查和横断面潜在剖面分析设计。
采用便利抽样法，选取广东省 30 家医院的 1009 名护士。通过在线问卷，使用幸福感指数、护士专业自我概念问卷和多维感知社会支持量表进行调查。采用幸福感指数的 9 个项目作为显变量对护士的 SWB 进行评估和分类，并采用有序逻辑回归分析探讨与不同类别相关的因素。
护士的 SWB 分为四个潜在分布：极低、低、中、高。回归分析表明，社会支持和专业自我概念影响 SWB。在不同幸福感类别中，护士的年龄、职称、工作年限、社会支持和专业自我概念存在统计学差异。有序逻辑回归分析表明，社会支持和专业自我概念与不同的 SWB 分布有关。
