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Learning Burnout: Evaluating the Role of Social Support in Medical Students
Background: Burnout is a stress-induced syndrome considered to be closely related to work. Although social support could relief burnout syndrome, its effect on learning burnout in medical students remains unclear. The objectives of the study are to evaluate the association between learning burnout a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937700/ https://www.ncbi.nlm.nih.gov/pubmed/33692725 http://dx.doi.org/10.3389/fpsyg.2021.625506 |
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author | Zhang, Jia-Yu Shu, Tao Xiang, Ming Feng, Zhan-Chun |
author_facet | Zhang, Jia-Yu Shu, Tao Xiang, Ming Feng, Zhan-Chun |
author_sort | Zhang, Jia-Yu |
collection | PubMed |
description | Background: Burnout is a stress-induced syndrome considered to be closely related to work. Although social support could relief burnout syndrome, its effect on learning burnout in medical students remains unclear. The objectives of the study are to evaluate the association between learning burnout and social support in Chinese medical students. Methods: A cross-sectional online survey was distributed to students who participated in online learning in a medical college in Wuhan during the COVID-19 epidemic. We used the Lian version of the Maslach Burnout Inventory (MBI) to assess learning burnout and the Social Support Rating Scale (SSRS) to assess social support. Chi-square tests were used to analyze factors associated with burnout. Independent t-test and multiple logistic regression were explored to analyze the relationship between social support and burnout. Results: A total of 684 students have completed the survey (response rate: 30.9%), of which 315 (46.12%) met standard criteria for learning burnout. Multiple logistic regression analysis has revealed that seniors, low family income and low social support were significant predictors of learning burnout (χ(2) = 41.983, p < 0.001). After adjusting for the grade and family income, there was a significant and relevant association between social support and learning burnout (OR = 0.937; 95% CI: 0.905–0.970; p < 0.001). Conclusions: Learning burnout was highly prevalent in medical students at our college. Senior students and low family income might be risk factors for learning burnout. Social support, especially subjective support and utilization of support might play a protective role in reducing the risk of learning burnout. |
format | Online Article Text |
id | pubmed-7937700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79377002021-03-09 Learning Burnout: Evaluating the Role of Social Support in Medical Students Zhang, Jia-Yu Shu, Tao Xiang, Ming Feng, Zhan-Chun Front Psychol Psychology Background: Burnout is a stress-induced syndrome considered to be closely related to work. Although social support could relief burnout syndrome, its effect on learning burnout in medical students remains unclear. The objectives of the study are to evaluate the association between learning burnout and social support in Chinese medical students. Methods: A cross-sectional online survey was distributed to students who participated in online learning in a medical college in Wuhan during the COVID-19 epidemic. We used the Lian version of the Maslach Burnout Inventory (MBI) to assess learning burnout and the Social Support Rating Scale (SSRS) to assess social support. Chi-square tests were used to analyze factors associated with burnout. Independent t-test and multiple logistic regression were explored to analyze the relationship between social support and burnout. Results: A total of 684 students have completed the survey (response rate: 30.9%), of which 315 (46.12%) met standard criteria for learning burnout. Multiple logistic regression analysis has revealed that seniors, low family income and low social support were significant predictors of learning burnout (χ(2) = 41.983, p < 0.001). After adjusting for the grade and family income, there was a significant and relevant association between social support and learning burnout (OR = 0.937; 95% CI: 0.905–0.970; p < 0.001). Conclusions: Learning burnout was highly prevalent in medical students at our college. Senior students and low family income might be risk factors for learning burnout. Social support, especially subjective support and utilization of support might play a protective role in reducing the risk of learning burnout. Frontiers Media S.A. 2021-02-22 /pmc/articles/PMC7937700/ /pubmed/33692725 http://dx.doi.org/10.3389/fpsyg.2021.625506 Text en Copyright © 2021 Zhang, Shu, Xiang and Feng. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Zhang, Jia-Yu Shu, Tao Xiang, Ming Feng, Zhan-Chun Learning Burnout: Evaluating the Role of Social Support in Medical Students |
title | Learning Burnout: Evaluating the Role of Social Support in Medical Students |
title_full | Learning Burnout: Evaluating the Role of Social Support in Medical Students |
title_fullStr | Learning Burnout: Evaluating the Role of Social Support in Medical Students |
title_full_unstemmed | Learning Burnout: Evaluating the Role of Social Support in Medical Students |
title_short | Learning Burnout: Evaluating the Role of Social Support in Medical Students |
title_sort | learning burnout: evaluating the role of social support in medical students |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937700/ https://www.ncbi.nlm.nih.gov/pubmed/33692725 http://dx.doi.org/10.3389/fpsyg.2021.625506 |
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