ArticleBMJ open2019
Modifiable risk factors related to burnout levels in the medical workplace in Taiwan: cross-sectional study.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Burnout and its' associated factors among health workers: A hospital-based cross-sectional study from Pokhara, Nepal.PloS one · 2026Observational
- Burnout among COVID-19 hospital-based contact tracers in Singapore: results of a mixed-method, cross-sectional multicentre study.Singapore medical journal · 2025Article
- Exploring Health Promotion Behaviors, Occupational Burnout, and Sleep Disturbances in Traditional Industry Workers.Healthcare (Basel, Switzerland) · 2024Article
- Association between residential noise exposure and burnout among healthcare workers in Taiwan: a cross-sectional study.Scientific reports · 2024Article
- Article
- Association between sleep duration and burnout in healthcare professionals: a cross-sectional survey.Frontiers in public health · 2023Article
- Burnout, lifestyle and relaxation among dentists in Lithuania: a cross-sectional study.BMC health services research · 2021Article
- The prevalence and stressors of job burnout among medical staff in Liaoning, China: a cross-section study.BMC public health · 2021Article
- Long working hours and burnout in health care workers: Non-linear dose-response relationship and the effect mediated by sleeping hours-A cross-sectional study.Journal of occupational health · 2021Article
- Prevalence and severity of burnout in Hong Kong doctors up to 20 years post-graduation: a cross-sectional study.BMJ open · 2020Article
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7 authors.
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Abstract
objectivesTo 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.
designCross-sectional study.
settingHospital-based survey in Taiwan.
participantsIn 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.
resultsAbnormal 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).
conclusionWB 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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