ArticleBMC nursing2024
Health characteristics and factors associated with transition shock in newly graduated registered nurses: a latent class analysis.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- The Big Five, Life Satisfaction, and Job Identity Development: A Longitudinal Study on the School-to-Work Transition.Journal of adolescence · 2026Article
- Exploring the Development of Early Career Nurses: Insights 4 Years After Graduation.Journal of advanced nursing · 2026Article
- An overview of role stress theory and recent research advances in the management of newly qualified nurses: a narrative review.Frontiers in medicine · 2026Review
- A study of the profiles of perceived inadequate qualifications and associated factors among nursing interns: a latent profile analysis.Frontiers in psychology · 2026Article
- Analysis of the current status and associated factors of career calling among novice nurses: a latent profile analysis.Frontiers in psychology · 2026Article
- The relationship between workplace bullying and adaptive performance in junior nurses: the mediating role of emotion regulation and work engagement.Frontiers in public health · 2026Article
- From student to nurse: exploring transition shock through stress, locus of control, and coping strategies in newly graduated nurses.BMC psychology · 2025Article
- Health-promoting resources and workplace experiences among newly graduated healthcare and social work professionals - a multicentre cross-sectional study.BMC health services research · 2025Article
- Relationship between transition shock, resilience, career calling, and retention intention among new nurses: a moderated mediation model.BMC nursing · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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Abstract
backgroundTransition shock occurs at a vulnerable time in newly graduated registered nurses' careers and has a clear impact on both newly graduated registered nurses' productivity and patient recovery outcomes. Identifying classification features of transition shock and targeting interventions to support newly graduated registered nurses is imperative. The study aimed to explore potential transition shock subgroups of newly graduated registered nurses and further explore the impact of population characteristics and two indices of health on transition shock.
methodsA descriptive, cross-sectional design was conducted. An online questionnaire was sent via WeChat to newly graduated registered nurses who started work in 2021 at seven hospitals between August and November 2021, and 331 nurses filled out the questionnaire. Latent class analysis was used to identify the potential class of the transition shock of newly graduated registered nurses, and multinomial logistic regression analyses were used to determine the factors of potential classification.
resultsThe study identified four classes of transition shock in newly graduated registered nurses, namely, "high transition shock", "physical fatigue-lack of knowledge", "development adaptation" and "low transition shock-worry" groups. Newly graduated registered nurses who urinated less than 4 times per day (OR = 0.051, 95% CI = 0.005-0.502) were likely to be in the "high transition shock" group. Newly graduated registered nurses who did not delay urination (OR = 4.267, 95% CI = 1.162-11.236) were more likely to belong to the "low transition shock-worry" group. Newly graduated registered nurses without sleep disturbance were more likely to be in the "physical fatigue - lack of knowledge" (OR = 3.109, 95% CI = 1.283-7.532), "development adaptation" (OR = 8.183, 95% CI = 2.447-27.066), and "low transition shock-worry" (OR = 8.749, 95% CI = 1.619-47.288) groups than in the 'high transition shock' group.
conclusionsThis study highlights potential patterns of transition shock among newly graduated registered nurses. Two indices of health, namely, delayed urination and sleep disturbance, can predict the subgroups of newly graduated registered nurses with transition shock.
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