Wei Zhou1,2, Juncai Pu2,3, Xiaogang Zhong1,4, Wensong Yang2,3, Teng Teng2,3, Li Fan2,3, Haiyang Wang2,5, Lu Tian1,2, Yiyun Liu2, Peng Xie6,7,8,9. 1. School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China. 2. NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China. 3. Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. 4. Key Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, 401147, China. 5. Stomatological Hospital of Chongqing Medical University, Chongqing, 401147, China. 6. School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China. xiepeng@cqmu.edu.cn. 7. NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China. xiepeng@cqmu.edu.cn. 8. Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. xiepeng@cqmu.edu.cn. 9. China Neurologist Association of Chinese Medical Doctor Association, Beijing, 100010, China. xiepeng@cqmu.edu.cn.
Abstract
BACKGROUND: The overlap of burnout and depression is a phenomenon that can effectively reflect the psychological state of a group. However, whether burnout is a type of depression is still debated in current research. The high incidence of burnout and depressive symptoms among medical students indicates that it is urgent to provide appropriate health services for them. However, the proportion of burnout and depression in the overlapping symptoms experienced by medical students, and the characteristics of the relative influencing factors, remain unclear. Therefore, we addressed these issues for neurology graduate students in China. METHODS: Using data from a cross-sectional survey of Chinese neurology graduate students, a diagnostic model was established according to their burnout and/or depression symptoms. Burnout was assessed by using the Maslach Burnout Inventory. Depression symptoms were assessed with a two-item depression screening tool for primary care evaluation of mental disorders. Univariate analyses with chi-squared tests were conducted to assess associations between variables. Multinomial logistic regression models were used to analyze the effects of multiple factors on dependent variables. The factors included demographic information and three medical-study related problems. RESULTS: In total, 32.2% of surveyed students evidenced overlapping burnout and depression symptoms. Students with depressive symptoms tended to be included in the burnout students' category. In the regression model, being unmarried, having children, and career choice regret were related to students who had only burnout, while the students with overlapping symptoms were affected by more factors such as family income, the consideration of dropping out once. CONCLUSIONS: The symptoms and related factors of burnout and depression among Chinese neurology postgraduates have obvious overlap and show a significant trend. The occurrence of depressive symptoms among medical students is closely related to whether they are burned out. Students with only burnout were common, but students with only depressive symptoms were uncommon. Finally, burnout may be a pre-depression state.
BACKGROUND: The overlap of burnout and depression is a phenomenon that can effectively reflect the psychological state of a group. However, whether burnout is a type of depression is still debated in current research. The high incidence of burnout and depressive symptoms among medical students indicates that it is urgent to provide appropriate health services for them. However, the proportion of burnout and depression in the overlapping symptoms experienced by medical students, and the characteristics of the relative influencing factors, remain unclear. Therefore, we addressed these issues for neurology graduate students in China. METHODS: Using data from a cross-sectional survey of Chinese neurology graduate students, a diagnostic model was established according to their burnout and/or depression symptoms. Burnout was assessed by using the Maslach Burnout Inventory. Depression symptoms were assessed with a two-item depression screening tool for primary care evaluation of mental disorders. Univariate analyses with chi-squared tests were conducted to assess associations between variables. Multinomial logistic regression models were used to analyze the effects of multiple factors on dependent variables. The factors included demographic information and three medical-study related problems. RESULTS: In total, 32.2% of surveyed students evidenced overlapping burnout and depression symptoms. Students with depressive symptoms tended to be included in the burnout students' category. In the regression model, being unmarried, having children, and career choice regret were related to students who had only burnout, while the students with overlapping symptoms were affected by more factors such as family income, the consideration of dropping out once. CONCLUSIONS: The symptoms and related factors of burnout and depression among Chinese neurology postgraduates have obvious overlap and show a significant trend. The occurrence of depressive symptoms among medical students is closely related to whether they are burned out. Students with only burnout were common, but students with only depressive symptoms were uncommon. Finally, burnout may be a pre-depression state.
Authors: Kirsi Ahola; Teija Honkonen; Marianna Virtanen; Mika Kivimäki; Erkki Isometsä; Arpo Aromaa; Jouko Lönnqvist Journal: J Occup Environ Med Date: 2007-09 Impact factor: 2.162
Authors: Lisa S Rotenstein; Marco A Ramos; Matthew Torre; J Bradley Segal; Michael J Peluso; Constance Guille; Srijan Sen; Douglas A Mata Journal: JAMA Date: 2016-12-06 Impact factor: 56.272
Authors: Liselotte N Dyrbye; F Stanford Massie; Anne Eacker; William Harper; David Power; Steven J Durning; Matthew R Thomas; Christine Moutier; Daniel Satele; Jeff Sloan; Tait D Shanafelt Journal: JAMA Date: 2010-09-15 Impact factor: 56.272
Authors: Mark Mohan Kaggwa; Jonathan Kajjimu; Jonathan Sserunkuma; Sarah Maria Najjuka; Letizia Maria Atim; Ronald Olum; Andrew Tagg; Felix Bongomin Journal: PLoS One Date: 2021-08-30 Impact factor: 3.240
Authors: Sara Abreu Alves; Jorge Sinval; Lia Lucas Neto; João Marôco; António Gonçalves Ferreira; Pedro Oliveira Journal: BMC Med Educ Date: 2022-02-07 Impact factor: 2.463