A Latent Profiles Analysis of Feminist Identity among Clinical Nurses: A Cross-Sectional Study
Abstract
Abstract Aims To examine feminist identity among clinical nurses using latent profile analysis (LPA), identify latent subgroups and their characteristics, and explore factors associated with profile membership. Design A cross-sectional study. Methods Between October and December 2025, a convenience sample of 307 female nurses was recruited from two tertiary hospitals in Xi’an, China. Data were collected using a Sociodemographic questionnaire, the Feminist Identity Development Scale (FIDS), the Rosenberg Self-Esteem Scale (RSES), and the Clance Impostor Phenomenon Scale (CIPS). Latent profile analysis (LPA )was conducted using Mplus 8.3, and binary logistic regression was employed to examine predictors of class membership. Results A total of 307 valid responses were included in the analysis. The two-class model provided the best fit, identifying a“traditional internalized group”(n = 229, 74.6%) and an“active externalized group”(n = 78, 25.4%). Logistic regression analysis revealed that age, educational level, self-esteem, and the impostor phenomenon were significant predictors of group membership. Younger nurses, those with higher education levels, higher self-esteem, and lower impostor tendencies were more likely to belong to the active externalized group. Conclusion Within the context of Chinese culture, Feminist identity among clinical nurses is heterogeneous and can be classified into two distinct latent profiles, with clear psychological and behavioral characteristics.…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 229 participants or records.
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