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Prevalence of burnout in medical students in China: A meta-analysis of observational studies
This meta-analysis aimed to estimate the prevalence of burnout among medical students in China. A systematic search from the following electronic databases: China National Knowledge Infrastructure, Wangfang database, VIP database, Chinese biomedical literature database, PubMed, Embase, Web of Scienc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257868/ https://www.ncbi.nlm.nih.gov/pubmed/34190150 http://dx.doi.org/10.1097/MD.0000000000026329 |
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author | Li, You Cao, Liang Mo, Chunbao Tan, Dechan Mai, Tingyu Zhang, Zhiyong |
author_facet | Li, You Cao, Liang Mo, Chunbao Tan, Dechan Mai, Tingyu Zhang, Zhiyong |
author_sort | Li, You |
collection | PubMed |
description | This meta-analysis aimed to estimate the prevalence of burnout among medical students in China. A systematic search from the following electronic databases: China National Knowledge Infrastructure, Wangfang database, VIP database, Chinese biomedical literature database, PubMed, Embase, Web of Science, and Google Scholar was independently conducted by 2 reviewers from inception to September 2019. The data were analyzed using stata software Version 11. Heterogeneity was assessed using I(2) tests, and publication bias was evaluated using funnel plots and Egger's test. The source of heterogeneity among subgroups was determined by subgroup analysis of different parameters. A total of 48 articles with a sample size of 29,020 met the inclusion criteria. The aggregate prevalence of learning burnout was 45.9% (95% confidence interval [CI] = 38.1%–53.8%). The prevalence rate of high emotional exhaustion was 37.5% (95% CI: 21.4%–53.7%). The percentage was 44.0% (95% CI: 29.2%–58.8%) for low personal accomplishment. The prevalence rate was 36.0% (95% CI: 23.0%–48.9%) in depersonalization dimension. In the subgroup analysis by specialty, the prevalence of burnout was 30.3% (95% CI: 28.6%–32.0%) for clinical medicine and 43.8% (95% CI: 41.8%–45.8%) for other medical specialties. The total prevalence of burnout between men and women was 46.4% (95% CI: 44.8%–47.9%) and 46.6% (95% CI: 45.5%–47.6%), respectively. The prevalence of burnout with Rong Lian's scale was 43.7% (42.1%–45.2%), and that with the other scales was 51.4% (50.4%–52.4%). The prevalence rates were 62.9% (61.3%–64.6%), 58.7% (56.3%–61.1%), 46.5% (42.9%–50.2%), and 56.0% (51.6%–60.4%) from Grades 1 to 4, respectively. There was a statistically significant difference among the different grades (P = .000). Our findings suggest a high prevalence of burnout among medical students. Society, universities, and families should take appropriate measures and allot more care to prevent burnout among medical students. |
format | Online Article Text |
id | pubmed-8257868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82578682021-07-08 Prevalence of burnout in medical students in China: A meta-analysis of observational studies Li, You Cao, Liang Mo, Chunbao Tan, Dechan Mai, Tingyu Zhang, Zhiyong Medicine (Baltimore) 6600 This meta-analysis aimed to estimate the prevalence of burnout among medical students in China. A systematic search from the following electronic databases: China National Knowledge Infrastructure, Wangfang database, VIP database, Chinese biomedical literature database, PubMed, Embase, Web of Science, and Google Scholar was independently conducted by 2 reviewers from inception to September 2019. The data were analyzed using stata software Version 11. Heterogeneity was assessed using I(2) tests, and publication bias was evaluated using funnel plots and Egger's test. The source of heterogeneity among subgroups was determined by subgroup analysis of different parameters. A total of 48 articles with a sample size of 29,020 met the inclusion criteria. The aggregate prevalence of learning burnout was 45.9% (95% confidence interval [CI] = 38.1%–53.8%). The prevalence rate of high emotional exhaustion was 37.5% (95% CI: 21.4%–53.7%). The percentage was 44.0% (95% CI: 29.2%–58.8%) for low personal accomplishment. The prevalence rate was 36.0% (95% CI: 23.0%–48.9%) in depersonalization dimension. In the subgroup analysis by specialty, the prevalence of burnout was 30.3% (95% CI: 28.6%–32.0%) for clinical medicine and 43.8% (95% CI: 41.8%–45.8%) for other medical specialties. The total prevalence of burnout between men and women was 46.4% (95% CI: 44.8%–47.9%) and 46.6% (95% CI: 45.5%–47.6%), respectively. The prevalence of burnout with Rong Lian's scale was 43.7% (42.1%–45.2%), and that with the other scales was 51.4% (50.4%–52.4%). The prevalence rates were 62.9% (61.3%–64.6%), 58.7% (56.3%–61.1%), 46.5% (42.9%–50.2%), and 56.0% (51.6%–60.4%) from Grades 1 to 4, respectively. There was a statistically significant difference among the different grades (P = .000). Our findings suggest a high prevalence of burnout among medical students. Society, universities, and families should take appropriate measures and allot more care to prevent burnout among medical students. Lippincott Williams & Wilkins 2021-07-02 /pmc/articles/PMC8257868/ /pubmed/34190150 http://dx.doi.org/10.1097/MD.0000000000026329 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 6600 Li, You Cao, Liang Mo, Chunbao Tan, Dechan Mai, Tingyu Zhang, Zhiyong Prevalence of burnout in medical students in China: A meta-analysis of observational studies |
title | Prevalence of burnout in medical students in China: A meta-analysis of observational studies |
title_full | Prevalence of burnout in medical students in China: A meta-analysis of observational studies |
title_fullStr | Prevalence of burnout in medical students in China: A meta-analysis of observational studies |
title_full_unstemmed | Prevalence of burnout in medical students in China: A meta-analysis of observational studies |
title_short | Prevalence of burnout in medical students in China: A meta-analysis of observational studies |
title_sort | prevalence of burnout in medical students in china: a meta-analysis of observational studies |
topic | 6600 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257868/ https://www.ncbi.nlm.nih.gov/pubmed/34190150 http://dx.doi.org/10.1097/MD.0000000000026329 |
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