eISSN 2097-6046
ISSN 2096-7446
CN 10-1655/R
Responsible Institution:China Association for Science and Technology
Sponsor:Chinese Nursing Association

Chinese Journal of Emergency and Critical Care Nursing ›› 2025, Vol. 6 ›› Issue (6): 725-730.doi: 10.3761/jissn.2096-7446.2025.06.017

• Career Development of Nurses • Previous Articles     Next Articles

Latent profile analysis and influencing factors of happiness of ICU nurses

JIA Yan(), XU Qin(), LU Hong, HU Jieman, WANG Liqin, YAO Wenjun   

  • Received:2024-06-30 Online:2025-06-10 Published:2025-06-06

Abstract:

Objective To explore the latent profile and influencing factors of the flourishing of intensive care unit(ICU) nurses,and to provide a basis for improving the level of happiness among ICU nurses. Methods A questionnaire survey was conducted on 243 ICU nurses in Jiangsu Province using general information questionnaires,the Flourishing Scale,the Fatigue Scale,and the Professional Quality of Life Scale from November to December of 2023. The categories of ICU nurses’ flourishing were analyzed through latent profile analysis,and the influencing factors of different latent profiles were explored through single-factor analysis and binary logistic regression analysis. Results The flourishing state of the nurses can be categorized into two latent profiles,including the low flourishing level-low interest group(45.7%) and the high flourishing level-balanced group(54.3%). Binary logistic regression analysis showed that average daily sleep time,fatigue,and empathy fatigue were influencing factors of latent profiles(all P<0.05). Conclusion There is heterogeneity in the flourishing state among ICU nurses. Nursing managers should adopt targeted strategies based on the distinct flourishing characteristics of ICU nurses,with a particular focus on those who exhibit sleep disorders,fatigue,and empathy fatigue to improve their level of happiness,thereby ensuring the quality of nursing services.

Key words: Intensive Care Units, Nurses, Flourishing, Fatigue, Empathy Fatigue, Latent Profile Analysis, Nursing Administration Research