• Home
  • Search
  • Exploring Burnout among Nursing Students in Bangalore: A t-Distributed Stochastic Neighbor Embedding Analysis and Hierarchical Clustering in Cross-Sectional Data.
  • Open Access IconOpen Access
  • Cite Icon6
  • https://doi.org/10.3390/nursrep14030126Copy DOI Icon

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

Show More
  • Abstract
  • Highlights & Summary
  • PDF
  • Literature Map
  • References
  • Citations
  • Similar Papers
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 (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.

Loading PDF

Similar Papers
  • Research Article

Evaluation of meditation and reported test anxiety in bachelor of science nursing students

  • Dec 13, 2022
  • Journal of Nursing Education and Practice
  • Annette Lynn Ferguson +1
  • Research Article
  • Citations9

Atypical Teratoid/Rhabdoid Tumor (AT/RT) With Molecular Features of Pleomorphic Xanthoastrocytoma.

  • Feb 23, 2021
  • American Journal of Surgical Pathology
  • Christian Thomas +17
  • Research Article
  • Citations3

Effectiveness of a Theory- and Web-Based Adaptive Implementation Intervention on Nurses' and Nursing Students' Intentions to Provide Brief Counseling: Protocol for a Randomized Controlled Trial.

  • Jul 31, 2020
  • JMIR Research Protocols
  • Guillaume Fontaine +4
  • Research Article

Innovation in clinical learning: The AM/PM model

  • Jun 15, 2022
  • Journal of Nursing Education and Practice
  • Alena Grewal +1
  • Research Article
  • Citations1

Comparative Analysis of online and face‐to‐face Human Anatomy and Physiology Courses as a Measure of Student Achievement in Bachelor of Science in Nursing Program

  • May 01, 2022
  • FASEB Journal
  • Cristy Tower‐Gilchrist +4
  • Research Article

Mountain Province State University (MPSU) Bachelor of Science in Nursing (BSN) Graduate Tracer Survey Uncovering Trends in Employment and Education Relevance

  • Dec 31, 2025
  • NURSE EDUCATORS AND PRACTITIONERS JOURNAL
  • Phoenix Tayni +2
  • Research Article
  • Citations1

Readiness for Self-Directed Learning Among Students of Bachelor of Science in Nursing Program of Selected Colleges in Kathmandu, Nepal

  • Feb 09, 2022
  • International Journal of Multidisciplinary Research and Analysis
  • Sandhya Shrestha
  • Research Article
  • Citations34

Applying hierarchical grey relation clustering analysis to geographical information systems – A case study of the hospitals in Taipei City

  • Jan 20, 2012
  • Expert Systems with Applications
  • Wen-Hsiang Wu +3
  • PDF
  • Research Article
  • Citations1

A Qualitative Study of Nursing Student and Faculty Perceptions of Attrition

  • Mar 22, 2021
  • JOURNAL OF SOCIAL SCIENCE RESEARCH
  • Theresa T Corker +2
  • Research Article

5241652 System for performing rule partitioning in a rete networkWilliam Barabash, William Yerazunis assigned to Digital Equipment Corporation

  • Apr 01, 1994
  • Expert Systems with Applications
  • Research Article
  • Citations13

The use of self-determination theory to investigate career aspiration, choice of major and academic achievement of tertiary science students

  • Jun 14, 2020
  • International Journal of Science Education
  • Gerry Rayner +1
  • Research Article

Baby’s First Macrophage: characterizing Hofbauer Cell phenotype through gestation using unsupervised dimensionality reduction

  • May 01, 2020
  • The Journal of Immunology
  • Dominika Swieboda +4
  • Abstract
  • Citations1

AA9. Macrophage-Derived Netrin 1 Promotes Abdominal Aortic Aneurysms by Activating Matrix Metalloproteinase 3 in Vascular Smooth Muscle Cells

  • Oct 22, 2018
  • Journal of Vascular Surgery
  • Michele Silvestro +5
  • Research Article
  • Citations21

Transitioning Associate Degree in Nursing Students to the Bachelor of Science in Nursing and Beyond: A Mandate for Academic Partnerships

  • Nov 01, 2011
  • Journal of Professional Nursing
  • Susan Sportsman +1
  • Research Article
  • Citations24

The effect of integrating constructivist and evidence-based practice on baccalaureate nursing student's cognitive load and learning performance in a research course

  • Apr 08, 2016
  • Nurse Education Today
  • Suh-Ing Hsieh +2
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.