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Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong

BACKGROUND: Burnout causes personal suffering and adverse professional consequences. It is prevalent among medical students, although the relationship between burnout and lifestyle factors are understudied in Chinese medical students. Thus, this study aims to (i) estimate the prevalence of burnout a...

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Autores principales: Lee, K. P., Yeung, Nelson, Wong, Carmen, Yip, Ben, Luk, Lawrence H. F., Wong, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351184/
https://www.ncbi.nlm.nih.gov/pubmed/32649681
http://dx.doi.org/10.1371/journal.pone.0235154
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author Lee, K. P.
Yeung, Nelson
Wong, Carmen
Yip, Ben
Luk, Lawrence H. F.
Wong, Samuel
author_facet Lee, K. P.
Yeung, Nelson
Wong, Carmen
Yip, Ben
Luk, Lawrence H. F.
Wong, Samuel
author_sort Lee, K. P.
collection PubMed
description BACKGROUND: Burnout causes personal suffering and adverse professional consequences. It is prevalent among medical students, although the relationship between burnout and lifestyle factors are understudied in Chinese medical students. Thus, this study aims to (i) estimate the prevalence of burnout among medical students in Hong Kong (HK) and (ii) delineate the relationship between burnout and various lifestyle factors. METHOD: 1,341 students were invited to complete a questionnaire from September to December 2017. Burnout was measured by the Maslach Burnout Inventory. Lifestyle factors including drinking habit, sleep habit and quality, and exercise level were assessed by validated instruments, including Alcohol Use Disorder Identification Test (AUDIT-C), Pittsburgh Sleep Quality Index (PSQI), and Godin-Shephard Leisure-Time Physical Activity (GSLTPA), respectively. Smoking status and use of self-medications were also inquired into, while demographic data was self-reported. Prevalence of burnout with confidence intervals was calculated. Difference in lifestyle and demographic data in students with or without burnout, were compared by t-test and Chi-square/Fisher’s exact test. From this, all associations with significant p-value at p<0.1 were entered into the multiple logistic regression model. RESULTS: 731 students (55.6%) responded to the questionnaire. Prevalence of burnout was 27.9% (95%CI: 24.6%-31.5%). Only 3 students in the whole sample smoked; and 6.6% of students drank weekly but rarely drank more than 2 drinks per week. 6.3% and 2.3% self-medicated themselves with medications to improve their sleep and concentration, respectively. Using a multiple logistic regression model, only sleep quality and exercise level were significantly associated with the presence of burnout. CONCLUSION: Around a quarter of medical students in HK suffered from burnout. Burnout was found to be significantly associated with sleep quality and physical exercise. The study also highlighted that HK medical students lived very different lifestyles from those from other countries. More research is needed to design and establish the effectiveness of lifestyle interventional programs that enhance exercise level and sleep quality.
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spelling pubmed-73511842020-07-22 Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong Lee, K. P. Yeung, Nelson Wong, Carmen Yip, Ben Luk, Lawrence H. F. Wong, Samuel PLoS One Research Article BACKGROUND: Burnout causes personal suffering and adverse professional consequences. It is prevalent among medical students, although the relationship between burnout and lifestyle factors are understudied in Chinese medical students. Thus, this study aims to (i) estimate the prevalence of burnout among medical students in Hong Kong (HK) and (ii) delineate the relationship between burnout and various lifestyle factors. METHOD: 1,341 students were invited to complete a questionnaire from September to December 2017. Burnout was measured by the Maslach Burnout Inventory. Lifestyle factors including drinking habit, sleep habit and quality, and exercise level were assessed by validated instruments, including Alcohol Use Disorder Identification Test (AUDIT-C), Pittsburgh Sleep Quality Index (PSQI), and Godin-Shephard Leisure-Time Physical Activity (GSLTPA), respectively. Smoking status and use of self-medications were also inquired into, while demographic data was self-reported. Prevalence of burnout with confidence intervals was calculated. Difference in lifestyle and demographic data in students with or without burnout, were compared by t-test and Chi-square/Fisher’s exact test. From this, all associations with significant p-value at p<0.1 were entered into the multiple logistic regression model. RESULTS: 731 students (55.6%) responded to the questionnaire. Prevalence of burnout was 27.9% (95%CI: 24.6%-31.5%). Only 3 students in the whole sample smoked; and 6.6% of students drank weekly but rarely drank more than 2 drinks per week. 6.3% and 2.3% self-medicated themselves with medications to improve their sleep and concentration, respectively. Using a multiple logistic regression model, only sleep quality and exercise level were significantly associated with the presence of burnout. CONCLUSION: Around a quarter of medical students in HK suffered from burnout. Burnout was found to be significantly associated with sleep quality and physical exercise. The study also highlighted that HK medical students lived very different lifestyles from those from other countries. More research is needed to design and establish the effectiveness of lifestyle interventional programs that enhance exercise level and sleep quality. Public Library of Science 2020-07-10 /pmc/articles/PMC7351184/ /pubmed/32649681 http://dx.doi.org/10.1371/journal.pone.0235154 Text en © 2020 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lee, K. P.
Yeung, Nelson
Wong, Carmen
Yip, Ben
Luk, Lawrence H. F.
Wong, Samuel
Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong
title Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong
title_full Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong
title_fullStr Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong
title_full_unstemmed Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong
title_short Prevalence of medical students’ burnout and its associated demographics and lifestyle factors in Hong Kong
title_sort prevalence of medical students’ burnout and its associated demographics and lifestyle factors in hong kong
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351184/
https://www.ncbi.nlm.nih.gov/pubmed/32649681
http://dx.doi.org/10.1371/journal.pone.0235154
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