BACKGROUND: Facing demographic shifts and increasingly complex healthcare demands, China's nursing sector struggles with workforce shortages and the need to enhance core competencies. This research explores the interplay of social support, psychological resilience, mindfulness and nursing competencies in various hospital environments in China.
METHODS: Through a cross-sectional survey, 941 nurses across tertiary, secondary and private healthcare settings completed self-assessment questionnaires. The analysis included multiple linear regression and comparative methods to assess how psychological resilience, mindfulness and social support have an impact on nursing competencies.
RESULTS: Findings revealed a strong relationship between psychological resilience and nursing competencies, with resilience being a key predictor. Mindfulness and social support also significantly contributed to competency levels. Nurses in tertiary hospitals showed greater competencies than those in secondary or private facilities.
CONCLUSION: Enhancing nursing competencies requires targeted interventions focusing on professional development and supportive workplace cultures. Incorporating psychological resilience, social support and mindfulness into nurse training is crucial for improving practice and policy.
PARTICIPANTS: We collected medical records of 864 patients with chronic kidney disease (without direct contact with patients) and divided them into two groups based on the renal bone disease manifestations of all patients.
PRIMARY AND SECONDARY OUTCOME MEASURES: There were 148 and 716 subjects in the Chronic kidney disease-mineral and bone metabolic disorder and the control groups, respectively. The aggregated data included basic information and various clinical laboratory indicators, such as blood lipid profile, antibody and electrolyte levels, along with renal function-related indicators.
RESULTS: It was observed that most renal osteopathy occurs in the later stages of chronic kidney disease. In the comparison of two clinical laboratory indicators, 16 factors were selected for curve analysis and compared. We discovered that factors with high diagnostic values were β2-microglobulin, parathyroid hormone and blood urea nitrogen.
CONCLUSIONS: The triple combination of β2-microglobulin+parathyroid hormone+blood urea nitrogen indicators can play the crucial role of a sensitive indicator for the early diagnosis of chronic kidney disease-mineral and bone metabolic disorder and in preventing or delaying the progress of chronic kidney disease-mineral and bone metabolic disorder.