Aim: To identify latent profiles of nurses' subjective well-being (SWB) and explore its association with social support and professional self-concept.

Design: This study used an online survey and cross-sectional latent profile analysis design.

Methods: 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.

Results: 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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10966136PMC
http://dx.doi.org/10.1002/nop2.2146DOI Listing

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