ArticleFrontiers in public health2026
Heterogeneity in academic burnout and its association with professional identity among undergraduate nursing students: a latent profile analysis.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To identify latent profiles of academic burnout among undergraduate nursing students and examine the demographic, academic, and professional-identity differences across these profiles. Methods: A cross-sectional survey was conducted from October to December 2025 among 741 undergraduate nursing students from four universities in Anhui Province, China. Data were collected using a demographic questionnaire, the Learning Burnout of University Students scale, and the Professional Identity Scale. Latent profile analysis was performed using the 20 academic-burnout items as manifest indicators. Model selection was based on information criteria, entropy, likelihood-ratio tests, profile size, posterior classification probabilities, parsimony, and interpretability. Chi-square tests and one-way analysis of variance were used for descriptive profile comparisons. To complement statistical screening with conceptual considerations, factors associated with profile membership were examined using an exploratory multinomial logistic regression model informed by a conceptual framework based on directed acyclic graph principles. Results: Three profiles were identified: low academic burnout ( Conclusion: Academic burnout among undergraduate nursing students is heterogeneous, and approximately one-third of students were classified into a high-burnout profile. Professional identity showed a clear inverse gradient across burnout profiles. In the conceptual-framework-informed exploratory regression model, academic performance, grade level, only-child status, reasons for choosing nursing, and perceived employment prospects were associated with profile membership. Because of the cross-sectional design, possible residual confounding, and classification uncertainty, these associations should not be interpreted as causal. Nursing educators and public health education administrators should consider profile-specific strategies that combine academic support, career guidance, psychological support, and professional identity development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.