ArticleBMC nursing2026
The relationships between clinical nurse leadership and emotional labor, psychological detachment, and perceived organizational support: a cross-sectional study.
Article in BMC nursing, 2026. 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.
- The effect of perceived organizational support on innovative behavior among nurses: a parallel mediation model of digital competence and work thriving.Frontiers in psychology · 2026Article
- Transition shock and perceived patient safety culture among newly graduated nurses: a latent profile and chained mediation analysis.Frontiers in medicine · 2026Article
- Psychological capital, perceptions of clinical stressors, and bullying experiences among Chinese nursing students during clinical practice: a latent profile and mediation analysis.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical leadership is crucial for healthcare quality, but its predictors among nurses in China are not well understood. This study investigated the independent predictive power of emotional labor, psychological detachment, and perceived organizational support on clinical nurse leadership, guided by Conservation of Resources theory.
methodUsing a convenience sampling method, 212 registered nurses from three tertiary hospitals in Tianjin were recruited for a cross-sectional survey. Data were collected using a set of standardized questionnaires, which assessed demographic characteristics, emotional labor, psychological detachment, perceived organizational support, and clinical leadership. Descriptive statistics and linear regression analysis were employed to analyze the data.
resultsThe average leadership score of the clinical nurses was 4.53 ± 0.54 points. Clinical leadership was positively correlated with emotional labor (r = 0.432, p < 0.01) and perceived organizational support (r = 0.538, p < 0.01). Clinical leadership is negatively correlated with psychological detachment (r=-0.186, p < 0.01). However, in the hierarchical regression model controlling for demographic variables, only emotional labor (β = 0.304, p < 0.001) and perceived organizational support (β = 0.439, p < 0.001) remained significant predictors, collectively explaining 44.5% of the variance in leadership scores (adjusted R²=0.445). The initially observed association with psychological detachment became non-significant in the final model (p = 0.063).
conclusionEmotional labor and Perceived Organizational Support are critical, modifiable factors that significantly predict clinical nurse leadership. Healthcare organizations should prioritize fostering a supportive environment and providing emotion regulation training to cultivate nursing leadership.
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.