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 am...

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Bibliographic Details
Published in:PloS one 2020-07, Vol.15 (7), p.e0235154-e0235154
Main Authors: Lee, K. P., Yeung, Nelson, Wong, Carmen, Yip, Ben, Luk, Lawrence H. F., Wong, Samuel
Format: Article
Language:English
Subjects:
Alcohol use
Alcoholic beverages
Biology and Life Sciences
Burnout
Chi-square test
Confidence intervals
Curricula
Demographics
Demography
Drinking behavior
Exercise
Lifestyles
Medical schools
Medical students
Medicine and Health Sciences
Physical activity
Physical exercise
Physical fitness
Physical training
Primary care
Public health
Questionnaires
Regression models
Sleep
Social Sciences
Statistical analysis
Statistical tests
Students
Studies
University students
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Summary: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
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0235154