Wang Xue, Yuan Jie, Tian Zirong, Shi Xinji, Liu Xu, Wu Yibo, Zang Shuang
Department of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, China.
Jitang College of North China University of Science and Technology, No.21 Bohai Avenue, Caofeidian District, Tangshan City, Hebei Province, 063000, China.
BMC Nurs. 2025 Mar 25;24(1):319. doi: 10.1186/s12912-025-02910-7.
Interpersonal sensitivity is a crucial individual characteristic, particularly for young nursing students. However, limited research has specifically examined interpersonal sensitivity in nursing students. This study aimed to employ network analysis to investigate the interconnectedness of interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic.
Network analysis was employed to explore the network structure. The first network model was developed to evaluate interpersonal sensitivity. The second network model was constructed to investigate the associations between interpersonal sensitivity and variables that were found to be statistically significant in the multivariable linear regression model.
A total of 864 nursing students participated in the study. The strongest nodes in assessing interpersonal sensitivity among nursing students encompass three distinct aspects: compliments, genuine understanding, and criticism. The multivariate linear regression analysis revealed significant associations between interpersonal sensitivity and various factors, including openness (β = 0.67), anxiety symptoms (β = 0.45), well-being (β = -0.63), loneliness (β = 1.55), and perceived social support (β = 0.66).
This study yields valuable insights into the phenomenon of interpersonal sensitivity among nursing students amid the COVID-19 pandemic. These findings emphasize the significance of incorporating targeted interventions addressing these factors into nursing education curricula.
人际敏感性是一项关键的个体特征，对年轻的护理专业学生而言尤为如此。然而，专门针对护理专业学生人际敏感性的研究有限。本研究旨在运用网络分析方法，探究新冠疫情期间护理专业学生人际敏感性及其相关因素之间的相互联系。
采用网络分析来探索网络结构。构建第一个网络模型以评估人际敏感性。构建第二个网络模型，以研究人际敏感性与在多变量线性回归模型中具有统计学意义的变量之间的关联。
共有864名护理专业学生参与了本研究。评估护理专业学生人际敏感性时，最强的节点涵盖三个不同方面：赞美、真诚理解和批评。多变量线性回归分析显示，人际敏感性与多种因素之间存在显著关联，包括开放性（β = 0.67）、焦虑症状（β = 0.45）、幸福感（β = -0.63）、孤独感（β = 1.55）和感知到的社会支持（β = 0.66）。
本研究为新冠疫情期间护理专业学生的人际敏感性现象提供了有价值的见解。这些发现强调了将针对这些因素的有针对性干预措施纳入护理教育课程的重要性。
