ArticleFrontiers in psychiatry2025
Burnout and anxiety among Chinese nurses: the mediating roles of positive coping strategies and interpersonal relationship problems: a cross-sectional study.
Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Network analysis of anxiety, depression, stress symptoms and psychological resilience in shift nurses.BMC psychology · 2026Article
- Longitudinal relationship between anxiety symptoms and occupational burnout dimensions among newly hired nurses: a cross-lagged network analysis.Frontiers in psychiatry · 2026Article
- Motivations and internship experiences of registered nurses pursuing Master of Nursing Specialist education in China: a phenomenological analysis.BMC nursing · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Burnout among nurses is a global problem that results in increased turnover as well as decreased career satisfaction and poor nursing service. Previous researchers have suggested that anxiety is associated with burnout. However, the relationship between anxiety and burnout requires further investigation to clarify. How interpersonal relationships and coping styles influence this relationship remains to be further explored. Furthermore, the question of how the demographic characteristics of nurses predict burnout remains unanswered. Aims: This study aimed to explore the mechanisms by which anxiety affects burnout, to verify the mediating roles of interpersonal relationship problems and positive coping in the relationship between anxiety and burnout, and to explore the factors that can predict burnout among nurses. Methods: A total of 4,856 nurses were enrolled in this study. The ability of anxiety, positive coping, interpersonal relationship problems, and demographic factors to predict burnout were explored via linear regression models. The relationships among anxiety, positive coping, interpersonal relationship problems, and burnout were also explored by developing a parallel mediation model with the assistance of SPSS PROCESS 3.3 software. Results: The following factors can predict burnout among nurses: internal medicine ward (β=0.075 p<0.01), surgery ward (β=0.054 p<0.01), operating room (β=0.022 p=0.037), a number of night shifts worked per month higher than 10 (β=0.046 p<0.01), and possession of a master's degree or higher level of education (β=0.03 p<0.01). Positive coping (β=0.029, 95% CI: 0.022 to 0.036) and interpersonal relationship problems (β=0.134, 95% CI: 0.118 to 0.151) mediate the relationship between anxiety and burnout. Conclusion: The results of this study reveal that nurses' department, level of education, and number of night shifts worked per month are effective predictors of burnout. Positive coping and interpersonal relationships problems mediate the relationship between anxiety and burnout.
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.