Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysis

Abstract Background 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 interconnec...

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Main Authors: Xue Wang, Jie Yuan, Zirong Tian, Xinji Shi, Xu Liu, Yibo Wu, Shuang Zang
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Nursing
Subjects:
Online Access:https://doi.org/10.1186/s12912-025-02910-7
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author Xue Wang
Jie Yuan
Zirong Tian
Xinji Shi
Xu Liu
Yibo Wu
Shuang Zang
author_facet Xue Wang
Jie Yuan
Zirong Tian
Xinji Shi
Xu Liu
Yibo Wu
Shuang Zang
author_sort Xue Wang
collection DOAJ
description Abstract Background 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. Methods 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. Results 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). Conclusions 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.
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issn 1472-6955
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series BMC Nursing
spelling doaj-art-9dc7494c5e1642e1a2495bc49212aacc2025-08-20T02:10:23ZengBMCBMC Nursing1472-69552025-03-0124111210.1186/s12912-025-02910-7Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysisXue Wang0Jie Yuan1Zirong Tian2Xinji Shi3Xu Liu4Yibo Wu5Shuang Zang6Department of Community Nursing, School of Nursing, China Medical UniversityJitang College of North China University of Science and TechnologyDepartment of Nursing, Beijing Tongren Hospital, Capital Medical UniversityDepartment of Community Nursing, School of Nursing, China Medical UniversityDepartment of Community Nursing, School of Nursing, China Medical UniversitySchool of Public Health, Peking UniversityDepartment of Community Nursing, School of Nursing, China Medical UniversityAbstract Background 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. Methods 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. Results 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). Conclusions 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.https://doi.org/10.1186/s12912-025-02910-7Interpersonal sensitivityNursing studentsCOVID-19Network analysis
spellingShingle Xue Wang
Jie Yuan
Zirong Tian
Xinji Shi
Xu Liu
Yibo Wu
Shuang Zang
Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysis
BMC Nursing
Interpersonal sensitivity
Nursing students
COVID-19
Network analysis
title Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysis
title_full Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysis
title_fullStr Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysis
title_full_unstemmed Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysis
title_short Interpersonal sensitivity and its associated factors among nursing students during the COVID-19 pandemic: a network analysis
title_sort interpersonal sensitivity and its associated factors among nursing students during the covid 19 pandemic a network analysis
topic Interpersonal sensitivity
Nursing students
COVID-19
Network analysis
url https://doi.org/10.1186/s12912-025-02910-7
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