Latent profiles of nurses ’ subjective well‐being and its association with social support and professional self‐concept
This study used an online survey and cross-sectional latent profile analysis design.MethodsA 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.ResultsNurses ’ 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-conce pt 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.
Source: Nursing Open - Category: Nursing Authors: Chuyuan Miao,
Chunqin Liu,
Ying Zhou,
Joanne W. Y. Chung,
Xiaofang Zou,
Wenying Tan,
Yu Ma,
Qing Luo,
Jiani Chen,
Thomas Kwok Shing Wong Tags: EMPIRICAL RESEARCH QUANTITATIVE Source Type: research