Dataset Information

Overlap of burnout-depression symptoms among Chinese neurology graduate students in a national cross-sectional study.

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.

SUBMITTER: Zhou W

PROVIDER: S-EPMC7851928 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Overlap of burnout-depression symptoms among Chinese neurology graduate students in a national cross-sectional study.

Zhou Wei W Pu Juncai J Zhong Xiaogang X Yang Wensong W Teng Teng T Fan Li L Wang Haiyang H Tian Lu L Liu Yiyun Y Xie Peng P

BMC medical education 20210202 1

<h4>Background</h4>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 ch ...[more]

PMID: 33530985

Similar Datasets

Project description:BACKGROUND:Whether burnout is a distinct phenomenon rather than a type of depression and whether it is a syndrome, limited to three "core" components (emotional exhaustion, depersonalization and low personal accomplishment) are subjects of current debate. We investigated the depression-burnout overlap, and the pertinence of these three components in a large, representative sample of physicians. METHODS:In a cross-sectional study, all Austrian physicians were invited to answer a questionnaire that included the Major Depression Inventory (MDI), the Hamburg Burnout Inventory (HBI), as well as demographic and job-related parameters. Of the 40093 physicians who received an invitation, a total of 6351 (15.8%) participated. The data of 5897 participants were suitable for analysis. RESULTS:Of the participants, 10.3% were affected by major depression. Our study results suggest that potentially 50.7% of the participants were affected by symptoms of burnout. Compared to physicians unaffected by burnout, the odds ratio of suffering from major depression was 2.99 (95% CI 2.21-4.06) for physicians with mild, 10.14 (95% CI 7.58-13.59) for physicians with moderate, 46.84 (95% CI 35.25-62.24) for physicians with severe burnout and 92.78 (95% CI 62.96-136.74) for the 3% of participants with the highest HBI_sum (sum score of all ten HBI components). The HBI components Emotional Exhaustion, Personal Accomplishment and Detachment (representing depersonalization) tend to correlate more highly with the main symptoms of major depression (sadness, lack of interest and lack of energy) than with each other. A combination of the HBI components Emotional Exhaustion, Helplessness, Inner Void and Tedium (adj.R2 = 0.92) explained more HBI_sum variance than the three "core" components (adj.R2 = 0.85) of burnout combined. Cronbach's alpha for Emotional Exhaustion, Helplessness, Inner Void and Tedium combined was 0.90 compared to ? = 0.54 for the combination of the three "core" components. CONCLUSIONS:This study demonstrates the overlap of burnout and major depression in terms of symptoms and the deficiency of the three-dimensional concept of burnout. In our opinion, it might be preferable to use multidimensional burnout inventories in combination with valid depression scales than to rely exclusively on MBI when clinically assessing burnout.

Project description:BackgroundIn China, the shortage of doctors leads to stressful clinical work and increasing turnover. Medical students undergoing postgraduate specialty training will be the country's medical workforce in the coming decades, but are also subject to high workloads and academic pressure. This may have significant implications for burnout and career choice regret. Despite the importance of burnout and career choice regret, the status and relationship of these aspects in Chinese neurology postgraduates are largely unexplored, and associated factors remain unknown.MethodsThis study investigated the prevalence of and factors influencing burnout and career choice regret among neurology postgraduates in China. We conducted a national cross-sectional study of Chinese neurology postgraduates. Data were collected using a self-administered questionnaire that covered demographic information, the Maslach Burnout Inventory, and additional item to assess career choice regret.ResultsOf 4902 neurology postgraduates, 2008 returned completed questionnaires (response rate 41%). After excluding incomplete questionnaires, data for 1814 participants were analyzed. In total, 83.6% of participants had experienced symptoms of burnout, and 46.6% reported career choice regret. Binary logistic regression analysis showed postgraduate entrance examination scores, marital status, and having children were associated with burnout (all P < 0.05). Career choice regret was the strongest risk factor for burnout (odds ratio [OR] = 3.17, 95% confidence interval [CI] 2.33-4.32). Multiple logistic regression showed postgraduates with shorter work or study hours per week (OR = 0.64, 95% CI 0.47-0.88) had a low risk for career choice regret, whereas married participants (OR = 1.54, 95% CI 1.07-2.20) had a high risk for career choice regret. No symptoms of burnout (OR = 0.33, 95% CI 0.24-0.45) was also associated with a low risk for career choice regret.ConclusionsBurnout symptoms and career choice regret are prevalent among neurology postgraduates in China. Career choice regret is an important predictor of burnout. Further research on reducing burnout and career choice regret among neurology postgraduates is needed.

Project description:BackgroundComorbidity between depressive and anxiety disorders is common. From network perspective, mental disorders arise from direct interactions between symptoms and comorbidity is due to direct interactions between depression and anxiety symptoms. The current study investigates the network structure of depression and anxiety symptoms in Chinese female nursing students and identifies the central and bridge symptoms as well as how other symptoms in present network are related to depression symptom "thoughts of death".MethodsTo understand the full spectrum of depression and anxiety, we recruited 776 Chinese female nursing students with symptoms of depression and anxiety that span the full range of normal to abnormal. Depression symptoms were measured by Patient Health Questionnaire-9 while anxiety symptoms were measured by Generalized Anxiety Disorder 7-Item Questionnaire. Network analysis was used to construct networks. Specifically, we computed the predictability, expected influence and bridge expected influence for each symptom and showed a flow network of "thoughts of death".ResultsNine strongest edges existed in network were from the same disorder. Four were between depression symptoms, like "sleep difficulties" and "fatigue", and "anhedonia" and "fatigue". Five were between anxiety symptoms, like "nervousness or anxiety" and "worry too much", and "restlessness" and "afraid something will happen". The symptom "fatigue", "feeling of worthlessness" and "irritable" had the highest expected influence centrality. Results also revealed two bridge symptoms: "depressed or sad mood" and "irritable". As to "thoughts of death", the direct relations between it and "psychomotor agitation/retardation" and "feeling of worthlessness" were the strongest direct relations.ConclusionsThe current study highlighted critical central symptoms "fatigue", "feeling of worthlessness" and "irritable" and critical bridge symptoms "depressed or sad mood" and "irritable". Particularly, "psychomotor agitation/retardation" and "feeling of worthlessness" were identified as key priorities due to their strongest associations with suicide ideation. Implications for clinical prevention and intervention based on these symptoms are discussed.

Project description:Medical Education studies suggest that medical students experience mental distress in a proportion higher than in the rest of the population In the present study, we aimed to conduct a nationwide analysis of the prevalence of mental health problems among medical students. The study was carried out in 2020 in all 43 medical schools in Spain, and analyzes the prevalence of depression, anxiety, empathy and burnout among medical students (n = 5216). To measure these variables we used the Beck Depression Inventory Test for assessing depression, the Maslach Burnout Inventory Survey for Students was used for burnout, the State-Trait Anxiety Inventory (STAI) was used to assess anxiety state and trait and the Jefferson Empathy Scale 12 to obtain empathy scores. In relation to depression, the data indicate an overall prevalence of 41%, with 23.4% of participants having moderate to severe levels, and 10% experiencing suicidal ideation. Burnout prevalence was 37%, significantly higher among 6th year than among 1st year students. Anxiety levels were consistent with those reported previously among medical students (25%), and were higher than in the general population for both trait and state anxiety. The prevalence of trait anxiety was higher among women. Empathy scores were at the top end of the scale, with the highest-scoring group (>130) containing a greater percentage of women. Similarly to those published previously for other countries, these results provide a clear picture of the mental disorders affecting Spanish medical students. Medicine is an extremely demanding degree and it is important that universities and medical schools view this study as an opportunity to ensure conditions that help minimize mental health problems among their students. Some of the factors underlying these problems can be prevented by, among other things, creating an environment in which mental health is openly discussed and guidance is provided. Other factors need to be treated medically, and medical schools and universities should therefore provide support to students in need through the medical services available within their institutions.

Project description:BACKGROUND:Medical education is widely known to be a demanding process that may cause various mental health problems, such as burnout, which can lead to lowered levels of life satisfaction among medical students. Research shows that empathy is negatively correlated with burnout, but there are few studies on the relationship among empathy, burnout and life satisfaction in medical students. The objective of the present study is to explore the correlations of empathy and burnout with life satisfaction and the associated socio-demographic factors among Chinese undergraduate medical students. METHODS:In this cross-sectional study, 1271 undergraduate medical students (age 19.42 ± 1.34 years, 36% male) from 1st to 4th grades completed questionnaires including the Interpersonal Reactivity Index Chinese version (IRI-C), the Maslach Burnout Inventory Modified Chinese version (MBI-MC), the Satisfaction With Life Scale (SWLS) and socio-demographic characteristics. Statistical analyses included Student's t-test, one-way ANOVA, post hoc Bonferroni tests, hierarchical linear regression analysis and general linear model-univariate full factorial model. RESULTS:Over four academic years, medical students' empathy levels declined, but their burnout levels almost plateaued and their life satisfaction levels witnessed an initial fall before a rebound. Empathy was correlated with students' age and grade, and burnout was associated with students' maternal education. Significant differences in life satisfaction were detected with regard to medical students' age, academic year, the number of children in the family, place of residence and parents' educational levels. CONCLUSIONS:Empathy explained 0.6% of the variance in life satisfaction in contrast to 13.7% of the variance explained by burnout in life satisfaction. Although empathy did not have a main effect on life satisfaction, there was an interaction effect of empathy and burnout on life satisfaction among students of high and low empathy and burnout levels. Students with high levels of empathy and low levels of burnout were most satisfied with life. Medical institutions and related authorities need to find effective measures to enhance students' empathy levels and reduce burnout to improve their life satisfaction.

Project description:BackgroundMedical students and residents were found to have suffered from depression, anxiety, and burnout in various studies. However, these entities have not been adequately explored in the context of Nepal. We proposed to determine the prevalence of depression, anxiety, burnout, their associated factors, and identify their predictors in a sample of medical students and residents in a Nepalese medical school.MethodsIt was a cross-sectional study with 651 medical students and residents chosen at random between December 2018 and February 2019. The validated Nepali version of Hospital Anxiety and Depression Scale, the Copenhagen Burnout Inventory, and Medical Students' Stressor Questionnaire were used to assess depression, anxiety, burnout, and stressors respectively. We used univariate and multivariable logistic regression analyses to identify the correlation of predictor variables with depression, anxiety, and burnout.ResultsThe overall prevalence of burnout (48.8%; 95% CI 44.9-52.7) and anxiety (45.3%; 95% CI 41.4-49.2) was more than that of depression (31%; 95% CI 27.5-34.7). Burnout and depression were more prevalent in residents than in medical students (burnout: 64.5% vs 37.6%, P-value < 0.0001; depression: 33.7% vs 29.1%, P-value 0.21). Whereas, medical students were found more anxious than residents (46.3% versus 43.96%, P-value 0.55). Academic related stressors caused high-grade stress to participants. Multivariable model for depression significantly showed anxiety, personal burnout, and work-related burnout as risk enhancing correlates; satisfaction with academic performance as a protective correlate. Similarly, the multivariate model for anxiety significantly identified female gender, depression, personal burnout, teaching and learning related stressors, and past history of mental illness as risk enhancing correlates; being satisfied with academic performance, getting adequate sleep, and being a second-year resident as protective correlates. The logistic model for burnout significantly showed being a first-year resident, depression, anxiety, and drive and desire related stressors as positive predictors. None of the variables were identified as significant negative predictors of burnout.ConclusionsA high prevalence of depression, anxiety, and burnout was seen among medical students and residents. Most of them were stressed with academic-related factors. A strong correlation between teaching and learning-related stressors with depression and anxiety may be a call for an efficient and more student-friendly curriculum.

Dataset Information

Overlap of burnout-depression symptoms among Chinese neurology graduate students in a national cross-sectional study.

Background

Methods

Results

Conclusions

Publications

Overlap of burnout-depression symptoms among Chinese neurology graduate students in a national cross-sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets