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探索班加罗尔护理专业学生的职业倦怠:横断面数据中的t分布随机邻域嵌入分析和层次聚类

Exploring Burnout among Nursing Students in Bangalore: A t-Distributed Stochastic Neighbor Embedding Analysis and Hierarchical Clustering in Cross-Sectional Data.

作者信息

Sebastian Michael, De Maria Maddalena, Caruso Rosario, Rocco Gennaro, Di Pasquale Cristina, Magon Arianna, Conte Gianluca, Stievano Alessandro

机构信息

Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.

Department of Life Health Sciences and Health Professions, Link Campus University, 00133 Rome, Italy.

出版信息

Nurs Rep. 2024 Jul 16;14(3):1693-1705. doi: 10.3390/nursrep14030126.

DOI:10.3390/nursrep14030126
PMID:39051362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11270275/
Abstract

This study explores burnout among nursing students in Bangalore, India, focusing on Exhaustion and Disengagement scores. A cross-sectional design was applied using the Oldenburg Burnout Inventory modified for nursing students, collecting data using a survey that was conducted between October and December 2023. The sample consisted of 237 female nursing students from the Bachelor of Science in Nursing program at Bangalore College of Nursing, South India. The study integrated the t-distributed Stochastic Neighbor Embedding (t-SNE) procedure for data simplification into three t-SNE components, used in a hierarchical clustering analysis, which identified distinct student profiles: "High-Intensity Study Group" and "Altruistic Aspirants". While burnout scores were generally high, students with high study hours ("High-Intensity Study Group") reported greater Exhaustion, with a mean score of 26.78 (SD = 5.26), compared to those in the "Altruistic Aspirants" group, who reported a mean score of 25.00 (SD = 4.48), demonstrating significant differences (-value = 0.005). Conversely, those motivated by altruism ("Altruistic Aspirants") showed higher Disengagement, with a mean score of 19.78 (SD = 5.08), in contrast to "High-Intensity Study Group", which reported a lower mean of 17.84 (SD = 4.74) (-value = 0.002). This segmentation suggests that burnout manifests differently depending on the students' academic load and intrinsic motivations. This study underscores the need for targeted interventions that address specific factors characterizing the clusters and provide information for designing future research and interventions. This study was not registered.

摘要

本研究探讨了印度班加罗尔护理专业学生的职业倦怠情况,重点关注疲惫和疏离得分。采用了横断面设计,使用针对护理专业学生修改后的奥尔登堡倦怠量表,通过2023年10月至12月期间进行的一项调查收集数据。样本包括来自印度南部班加罗尔护理学院护理学理学学士项目的237名女性护理专业学生。该研究将用于数据简化的t分布随机邻域嵌入(t-SNE)程序整合为三个t-SNE组件,用于层次聚类分析,确定了不同的学生类别:“高强度学习组”和“利他主义者”。虽然倦怠得分普遍较高,但学习时间长的学生(“高强度学习组”)报告的疲惫程度更高,平均得分为26.78(标准差=5.26),相比之下,“利他主义者”组的平均得分为25.00(标准差=4.48),显示出显著差异(p值=0.005)。相反,受利他主义激励的学生(“利他主义者”)表现出更高的疏离感,平均得分为19.78(标准差=5.08),而“高强度学习组”报告的平均值较低,为17.84(标准差=4.74)(p值=0.002)。这种分类表明,倦怠的表现因学生的学业负担和内在动机而异。本研究强调需要采取针对性干预措施,解决各集群的特定因素,并为设计未来的研究和干预措施提供信息。本研究未注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e227/11270275/f1b3ee87c4a7/nursrep-14-00126-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e227/11270275/0db2710cd932/nursrep-14-00126-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e227/11270275/78feaf96afae/nursrep-14-00126-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e227/11270275/f1b3ee87c4a7/nursrep-14-00126-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e227/11270275/0db2710cd932/nursrep-14-00126-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e227/11270275/78feaf96afae/nursrep-14-00126-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e227/11270275/f1b3ee87c4a7/nursrep-14-00126-g003.jpg

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本文引用的文献

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Caring for nursing students is caring for patients: A multicentre cross-sectional study on the relationship between nursing students' caring and the perception of instructors' caring.关爱护理学生就是关爱患者:一项关于护理学生关爱与教师关爱感知之间关系的多中心横断面研究。
Nurse Educ Today. 2024 Jun;137:106154. doi: 10.1016/j.nedt.2024.106154. Epub 2024 Mar 11.
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Analyzing Latent Burnout Profiles in a Sample of Spanish Nursing and Psychology Undergraduates.分析西班牙护理与心理学专业本科学生样本中的潜在职业倦怠特征
Healthcare (Basel). 2024 Feb 8;12(4):438. doi: 10.3390/healthcare12040438.
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Nurse burnout before and during the COVID-19 pandemic: a systematic comparative review.
护士在 COVID-19 大流行之前和期间的倦怠:系统比较综述。
Front Public Health. 2023 Sep 5;11:1225431. doi: 10.3389/fpubh.2023.1225431. eCollection 2023.
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Prevalence and levels of burnout in nursing students: A systematic review with meta-analysis.护理专业学生职业倦怠的患病率及程度:一项荟萃分析的系统评价
Nurse Educ Pract. 2023 Oct;72:103753. doi: 10.1016/j.nepr.2023.103753. Epub 2023 Aug 24.
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Prevalence of and Work-Related Factors Associated with Sickness Presenteeism among Nursing Care Providers in Selected Tertiary Hospitals in Bangalore City: A Cross-Sectional Study.班加罗尔市部分三级医院护理人员中与带病出勤相关的患病率及工作相关因素:一项横断面研究
Indian J Occup Environ Med. 2023 Apr-Jun;27(2):183-189. doi: 10.4103/ijoem.ijoem_240_22. Epub 2023 Jul 3.
6
Academic burnout among undergraduate nursing students: A quantitative survey approach.本科护理专业学生的学业倦怠:一种定量调查方法。
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