ArticleBMC nursing2025
Status and influencing factors of academic burnout among undergraduate nursing students based on random forest modeling: a cross-sectional study.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Nursing undergraduates' experiences of generative AI-assisted learning in the classroom environment: a qualitative study.BMC nursing · 2026Article
- Heterogeneity in academic burnout and its association with professional identity among undergraduate nursing students: a latent profile analysis.Frontiers in public health · 2026Article
- Smartphone addiction and learning engagement: a parallel mediation model of time management disposition and academic burnout among nursing undergraduates.Frontiers in psychology · 2026Article
- The impact of emotional labor on sleep-related worry among pediatric nurses in Chinese public hospitals: the mediating role of self-regulatory fatigue.Frontiers in public health · 2026Article
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8 authors.
Funding
Abstract
backgroundAcademic burnout is a widespread issue among nursing students, significantly impeding the development of high-quality nursing professionals, particularly among undergraduate nursing students. This study aims to investigate the status of academic burnout in this population and to analyze the factors contributing to it.
methodsThis study utilized convenience sampling to conduct a cross-sectional survey involving 442 undergraduate nursing students. Data were collected using the Socio-demographic Information Questionnaire, the Academic Burnout Scale (ABS), the Time Management Disposition Scale (TMD), and the Self-Regulatory Fatigue Scale (SRF-S). Random Forest and LASSO regression were employed to rank the importance of various factors and identify key variables. Subsequently, multivariate linear regression was conducted to examine the determinants of academic burnout among undergraduate nursing students.
resultsThe average academic burnout score for undergraduate nursing students was 55.29 ± 6.78, with a prevalence of 57.5%. Results from Random Forest and LASSO regression analyses identified the eight most significant predictive variables, ranked in order of importance: Self-Regulatory Fatigue, study time per day, time management disposition, absence of study interest in nursing-related fields, academic performance, being an only child, future professional prospects and excessive course difficulty. Furthermore, multivariate linear regression analysis revealed that Self-Regulatory Fatigue, study time per day, time management disposition, academic performance, future professional prospects, and excessive course difficulty are the primary factors influencing academic burnout among undergraduate nursing students.
conclusionsUndergraduate nursing students demonstrate above-average levels of academic burnout, highlighting the need for significant attention to this issue. Nursing educators should prioritize academic burnout prevention and design targeted interventions based on the identified key influencing factors to mitigate its prevalence.
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