Publications by authors named "Yingzi Lu"
Article Synopsis
- * It identifies three personality types among nursing students: Over-sensitivity, Ordinary, and Flexibility, and highlights the role of a nursing role model in shaping these personalities.
- * Resilience is found to significantly mediate the connection between personality traits and the development of professional identity, suggesting it is a key factor for educators to consider in interventions.
Article Synopsis
- Many night-shift nursing interns experience poor sleep quality due to disturbances in their circadian rhythms, which have not been thoroughly studied in this population.
- A study of 452 nursing interns revealed three types of circadian rhythms: Vigorousness, Inadaptability, and Flexibility, with about 72.3% reporting inadequate sleep.
- The type of circadian rhythm a nursing intern has plays a significant role in how perceived stress affects their sleep quality, highlighting the need for tailored support for those with Inadaptability.
Purpose: Sense of coherence is significant to mental health and professional development in nursing students. However, the association among stress/resource complex, sense of coherence, and professional identity is less explored in nursing students. This study was designed to identify latent subtypes of stress/resource complex and to evaluate the mediating role of sense of coherence between stress/resource complex types and professional identity in nursing students.
View Article and Find Full Text PDFObjective: To synthesize the evidence regarding the effect and safety of drainage after the hip arthroplasty in randomized control trials.
Background: Although the standard of hip replacement has matured in recent years, the need for postoperative drainage is still controversial which also is a clinical problem that needs to be addressed.
Design: A systematic review and meta-analysis based on the Cochrane methods and Prisma guideline.
Exploring the path and mechanism of marketization level in the effect of foreign direct investment (FDI) on carbon emission performance will help to maximize the stimulation effect of foreign investment on green and low-carbon development. This study used the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2008 to 2016. A panel threshold model is constructed to explore the non-linear relationship between FDI and carbon emissions performance from the perspective of marketization level.
View Article and Find Full Text PDF