Exploring Burnout among Nursing Students in Bangalore: A t-Distributed Stochastic Neighbor Embedding Analysis and Hierarchical Clustering in Cross-Sectional Data.
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 Dec...
| Publicado en: | Nursing Reports Vol. 14; no. 3; pp. 1693 - 1706 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MDPI
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180014596&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180014596 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2039439X EGNT jtl: Nursing Reports issn: 2039439X maglogo: N pubinfo: dt: Sep2024 vid: 14 iid: 3 pid: 97109 pub: MDPI artinfo: ui: 180014596 180014596 180014596 10.3390/nursrep14030126 180014596 ppf: 1693 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Exploring Burnout among Nursing Students in Bangalore: A t-Distributed Stochastic Neighbor Embedding Analysis and Hierarchical Clustering in Cross-Sectional Data. aug: au: Sebastian, Michael De Maria, Maddalena Caruso, Rosario Rocco, Gennaro Di Pasquale, Cristina Magon, Arianna Conte, Gianluca Stievano, Alessandro affil: Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy sug: subj: Students, Nursing, Baccalaureate Psychosocial Factors Burnout, Professional Epidemiology Emotional Exhaustion Evaluation Disengagement Evaluation Clinical Assessment Tools India Human Male Adolescence Adult Cross Sectional Studies Surveys Descriptive Statistics Questionnaires Scales Cluster Analysis Bivariate Statistics Data Analysis Software Two-Tailed Test Altruism Motivation Psychological Well-Being Stress, Psychological Academic Performance Social Class Adolescent: 13-18 years Adult: 19-44 years Male ab: 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 (p-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) (p-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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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