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Factores asociados con las dificultades en la toma de decisiones profesionales entre estudiantes universitarios de
Hongting Zhou1, Liebin Huang1, Zhijian Fu1
1Department of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Background:
Career decision-making difficulties are often associated with negative outcomes, including decreased motivation for learning, weakened professional identity, increased burnout, and a higher risk of turnover. However, most research has concentrated on the overall levels of career decision-making difficulties, overlooking the potential variations among different student subgroups. This gap hinders the creation of targeted intervention strategies.
Purpose:
This study aimed to identify latent profiles of Career decision-making difficulties among undergraduate nursing students and explore factors associated with these profiles.
Design:
A cross-sectional study.
Methods:
A convenience sampling method was employed to recruit 562 undergraduate nursing students from three universities in China. Participants completed validated measures assessing demographics, learning engagement, perceived social support, and career decision-making difficulties. Latent profile analysis identified distinct profiles of career decision-making difficulties, and multinomial logistic regression examined the associated factors.
Results:
Three distinct career decision-making difficulties profiles emerged: multidimensional decision-making block (58.5%), knowledge-action disconnection (34.0%), and information-driven advantage (7.5%). Perceived social support, learning engagement, and class leadership status were significantly associated with these career decision-making profiles.
Conclusion:
Nursing students face diverse career decision-making challenges, highlighting the need for tailored institutional support. Students in the "Multidimensional Decision-Making Block" profile may benefit from structured career development courses. For the "Knowledge-Action Disconnection" profile, strengthening career information processing is crucial. Enhancing learning engagement, decision-making skills, and support networks can reduce uncertainty and better prepare students for their professional futures.
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