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Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study

OBJECTIVES: To detect the combined effects of lifestyle factors on work-related burnout (WB) and to analyse the impact of the number of weekend catch-up sleep hours on burnout risk in a medical workplace. DESIGN: Cross-sectional study. SETTING: Hospital-based survey in Taiwan. PARTICIPANTS: In total...

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Autores principales: Lin, Yu-Li, Chen, Cing-Hua, Chu, Wei-Min, Hu, Sung-Yuan, Liou, Yi-Sheng, Yang, Yi-Chien, Tsan, Yu-Tse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887028/
https://www.ncbi.nlm.nih.gov/pubmed/31740474
http://dx.doi.org/10.1136/bmjopen-2019-032779
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author Lin, Yu-Li
Chen, Cing-Hua
Chu, Wei-Min
Hu, Sung-Yuan
Liou, Yi-Sheng
Yang, Yi-Chien
Tsan, Yu-Tse
author_facet Lin, Yu-Li
Chen, Cing-Hua
Chu, Wei-Min
Hu, Sung-Yuan
Liou, Yi-Sheng
Yang, Yi-Chien
Tsan, Yu-Tse
author_sort Lin, Yu-Li
collection PubMed
description OBJECTIVES: To detect the combined effects of lifestyle factors on work-related burnout (WB) and to analyse the impact of the number of weekend catch-up sleep hours on burnout risk in a medical workplace. DESIGN: Cross-sectional study. SETTING: Hospital-based survey in Taiwan. PARTICIPANTS: In total, 2746 participants completed the hospital’s Overload Health Control System questionnaire for the period from the first day of January 2016 to the end of December 2016, with a response rate of 70.5%. The voluntary participants included 358 physicians, 1406 nurses, 367 medical technicians and 615 administrative staff. PRIMARY AND SECONDARY OUTCOME MEASURES: All factors that correlated significantly with WB were entered into a multinomial logistic regression after adjustment for other factors. The dose–response relationship of combined lifestyle factors and catch-up sleep hours associated with WB was explored by logistic regression. RESULTS: Abnormal meal time (adjusted OR 2.41, 95% CI 1.85 to 3.15), frequently eating out (adjusted OR 1.49, 95% CI 1.12 to 1.97), lack of sleep (adjusted OR 5.13, 95% CI 3.94 to 6.69), no exercise (adjusted OR 1.41, 95% CI 1.10 to 1.81) and >40 work hours (adjusted OR 2.72, 95% CI 2.08–3.57) were independently associated with WB (for high level compared with low level). As the number of risk factors increased (1–5), so did the proportion of high severity of WB (adjusted OR 1.39, 95% CI 0.45 to 4.27, to adjusted OR 32.98, 95% CI 10.78 to 100.87). For those with more than 7 hours’ sleep on workdays, weekend catch-up sleep (≤0/>0 and ≤2/>2 hours) was found to be related to an increase of burnout risk (adjusted OR 4.91, 95% CI 2.24 to 10.75/adjusted OR 4.94, 95% CI 2.54 to 9.63/adjusted OR 6.74, 95% CI 2.94 to 15.46). CONCLUSION: WB in the medical workplace was affected by five unhealthy lifestyle factors, and combinations of these factors were associated with greater severity of WB. Weekend catch-up sleep was correlated with lower burnout risk in those with a short workday sleep duration (less than 7 hours). Clinicians should pay particular attention to medical staff with short sleep duration without weekend catch-up sleep.
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spelling pubmed-68870282019-12-04 Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study Lin, Yu-Li Chen, Cing-Hua Chu, Wei-Min Hu, Sung-Yuan Liou, Yi-Sheng Yang, Yi-Chien Tsan, Yu-Tse BMJ Open Occupational and Environmental Medicine OBJECTIVES: To detect the combined effects of lifestyle factors on work-related burnout (WB) and to analyse the impact of the number of weekend catch-up sleep hours on burnout risk in a medical workplace. DESIGN: Cross-sectional study. SETTING: Hospital-based survey in Taiwan. PARTICIPANTS: In total, 2746 participants completed the hospital’s Overload Health Control System questionnaire for the period from the first day of January 2016 to the end of December 2016, with a response rate of 70.5%. The voluntary participants included 358 physicians, 1406 nurses, 367 medical technicians and 615 administrative staff. PRIMARY AND SECONDARY OUTCOME MEASURES: All factors that correlated significantly with WB were entered into a multinomial logistic regression after adjustment for other factors. The dose–response relationship of combined lifestyle factors and catch-up sleep hours associated with WB was explored by logistic regression. RESULTS: Abnormal meal time (adjusted OR 2.41, 95% CI 1.85 to 3.15), frequently eating out (adjusted OR 1.49, 95% CI 1.12 to 1.97), lack of sleep (adjusted OR 5.13, 95% CI 3.94 to 6.69), no exercise (adjusted OR 1.41, 95% CI 1.10 to 1.81) and >40 work hours (adjusted OR 2.72, 95% CI 2.08–3.57) were independently associated with WB (for high level compared with low level). As the number of risk factors increased (1–5), so did the proportion of high severity of WB (adjusted OR 1.39, 95% CI 0.45 to 4.27, to adjusted OR 32.98, 95% CI 10.78 to 100.87). For those with more than 7 hours’ sleep on workdays, weekend catch-up sleep (≤0/>0 and ≤2/>2 hours) was found to be related to an increase of burnout risk (adjusted OR 4.91, 95% CI 2.24 to 10.75/adjusted OR 4.94, 95% CI 2.54 to 9.63/adjusted OR 6.74, 95% CI 2.94 to 15.46). CONCLUSION: WB in the medical workplace was affected by five unhealthy lifestyle factors, and combinations of these factors were associated with greater severity of WB. Weekend catch-up sleep was correlated with lower burnout risk in those with a short workday sleep duration (less than 7 hours). Clinicians should pay particular attention to medical staff with short sleep duration without weekend catch-up sleep. BMJ Publishing Group 2019-11-18 /pmc/articles/PMC6887028/ /pubmed/31740474 http://dx.doi.org/10.1136/bmjopen-2019-032779 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Occupational and Environmental Medicine
Lin, Yu-Li
Chen, Cing-Hua
Chu, Wei-Min
Hu, Sung-Yuan
Liou, Yi-Sheng
Yang, Yi-Chien
Tsan, Yu-Tse
Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study
title Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study
title_full Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study
title_fullStr Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study
title_full_unstemmed Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study
title_short Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study
title_sort modifiable risk factors related to burnout levels in the medical workplace in taiwan: cross-sectional study
topic Occupational and Environmental Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887028/
https://www.ncbi.nlm.nih.gov/pubmed/31740474
http://dx.doi.org/10.1136/bmjopen-2019-032779
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