Previous studies had identified the significant issue of burnout and sleep quality in medical students. However, no studies have explored the interactions between learning burnout and sleep quality on a symptom level. This study used network analysis to explore the interaction and construct the network structure of learning burnout and sleep quality among medical students in China. We recruited 553 medical students to participate in our study. Learning Burnout of Undergraduates and Scale (LBUS) and the Pittsburgh Sleep Quality Index (PSQI) were used to measure learning burnout and sleep quality. Expected influence and bridge expected influence were used to identify the central and bridge symptoms. Results showed 'B9' (Tired of learning) and 'B17' (I want to learn but feel bored with it) had the highest expected influence. 'B12' (I often fall asleep while studying) and 'P_DD' (Daytime dysfunction) had the highest bridge expected influence. Our findings revealed the characteristics of learning burnout and sleep quality in online learning and provided information to further understand the difference in the influence of mental health between online and offline learning.

Burnout syndrome is a significant issue among healthcare professionals worldwide, marked by depersonalization, emotional exhaustion, and a reduced sense of personal achievement. This psychological and physical burden profoundly affects healthcare professionals' quality of care and overall well-being. In Somalia, where the healthcare system faces numerous challenges, the escalating demand for medical services and inadequate resources, coupled with overwhelming workloads, long hours, and high-stress levels, make healthcare providers particularly vulnerable to burnout syndrome. This, in turn, affects both the mental health of healthcare personnel and the quality of care they provide.

To examine the prevalence and determinants of burnout syndrome among healthcare practitioners in Mogadishu, Somalia.

This cross-sectional prospective study was performed among 246 healthcare providers employed at a tertiary care hospital in Mogadishu, Somalia, who were recruited via random sampling. Data were collected using questionnaires that covered sociodemographic, psychological, work-related characteristics, and burnout syndrome. Bivariate and multivariate logistic regression analyses were performed to identify the variables that correlated with burnout syndrome. The results were presented using adjusted odds ratios (AORs), 95%CIs, and P values, with a cutoff of 0.05 for identifying significant associations.

Among the participants, 24% (95%CI: 18.8%-29.8%) exhibited symptoms of burnout syndrome. Factors associated with burnout included female gender (AOR = 6.60; 95%CI: 2.29-19.04), being married (AOR = 3.07; 95%CI: 1.14-8.28), being divorced or widowed (AOR = 5.84; 95%CI: 1.35-25.35), working more than 7 night shifts (AOR = 3.19; 95%CI: 1.30-7.82), having less than 5 years of job experience (AOR = 5.28; 95%CI: 1.29-21.65), experiencing poor sleep quality (AOR = 5.29; 95%CI: 1.88-14.89), and exhibiting depressive (AOR = 4.46; 95%CI: 1.59-12.53) and anxiety symptoms (AOR = 7.34; 95%CI: 2.49-21.60).

This study found that nearly one in four healthcare professionals suffers from burnout syndrome. Improving sleep quality, monitoring, and providing mental health support could enhance their well-being and patient care.

Exploratory data analysis involves observing data in graphical formats before making any assumptions. If interesting relationships or patterns among variables are identified, hypotheses are developed for further testing. This study aimed to identify significant differences in the levels of exhaustion, resilience, sleep quality, and sleep hygiene according to the personal characteristics of middle-aged women transitioning into menopause or postmenopause through exploratory data analysis. A total of 200 women aged 44 to 55 years were recruited online in August 2023. Data were collected using valid instruments and analyzed through data visualization, pattern identification in the visualized data, and hypothesis establishment based on the visualized patterns. Hypotheses were tested through the independent-samples t test, analysis of variance, and the Kruskal-Wallis test. A total of 11 patterns and corresponding hypotheses were identified. According to the statistically supported pattern-based hypotheses, middle-aged women who were in their perimenopausal period perceived themselves as unhealthy, had professional occupations, and had the highest level of exhaustion and the lowest levels of resilience, sleep quality, and sleep hygiene. This study demonstrated that data visualization is an efficient way to explore relationships or patterns between data. Data visualization should be considered an informatics solution that can provide insight in the field of healthcare.

A cross-sectional study was conducted investigating the association between exposure to financial, political, academic and social stressors, and symptoms of depression, anxiety and burnout among university students in Lebanon. Lebanon is a developing country experiencing a financial crisis and sociopolitical turmoil with poorly characterized impacts on the mental health of residents. To assess burnout and symptoms of depression, anxiety, a condensed version of the Malach-Pines Burnout Measure and the Patient Health Questionnaire-4 (PHQ-4) were used, respectively. Out of 240 respondents, 52.3% experienced burnout, 29.3% experienced high/very high burnout, and 54.2% reported symptoms of depression, anxiety. Women had poorer mental health outcomes. The strongest associations were between little sleep and burnout (aOR = 6.78, p < 0.001) and symptoms of depression, anxiety (aOR = 2.84, p < 0.001). Exposure to high financial and COVID-19 pandemic stressors were associated with high levels of burnout and symptoms of depression and anxiety. The results highlight the gravity of the psychological state of university students in Lebanon, as they navigate through the struggles of an uncertain future.

Health workers, and in particular doctors and nurses working in internal medicine units (IMU), are at high risk of burnout. Overcrowding, complexity and severity of clinical cases, patients' social and family issues, impact of death, and "workload" are all aspects that are specific risk factors that might lead to the development of burnout in this scenario. People suffering from burnout may face several psychological problems (including extreme physical and mental fatigue, emotional exhaustion, loss of enthusiasm concerning work, feelings of cynicism, and a low sense of personal accomplishment) and are also at risk of developing some somatic diseases. Furthermore, the quality of care delivered by a worker in burnout seems to worsen and slip down. In this review, we analyzed the main risk factors and consequences of burnout in IMUs, and we propose individual and organizational measures that may be applied to be able to prevent burnout in this setting.

The objective of this research was to examine how caffeine use disorder among physicians across different specialties relates to both sleep quality and professional burnout.

This research represents a single-center, prospective, cross-sectional study involving 240 physicians meeting inclusion criteria and working within a training and research hospital. Participants were enrolled in the study after obtaining informed consent. A web-based survey methodology was employed, administering a participant information form crafted following an exhaustive literature review, alongside assessments utilizing the Caffeine Use Disorder Questionnaire, the Pittsburgh Sleep Quality Index, and the Maslach Burnout Inventory. A significance level of p < 0.05 was considered statistically significant.

In our study, participants had a median age of 30.0 years, and 60% reported poor sleep quality. A positive and statistically significant relationship (rho=0.148, p = 0.022) was found between the Caffeine Use Disorder Questionnaire and Pittsburgh Sleep Quality Index scores. In the generalized linear model analysis, setting the Caffeine Use Disorder Questionnaire score as the dependent variable, statistically significant contributions were observed for gender (women), daily total caffeine intake, and Maslach-depersonalization score variables (p = 0.012, p < 0.001, 0.035, respectively).

Higher levels of caffeine use disorder have been observed among women, smokers, and individuals with increased caffeine intake. Notably, an increase in professional depersonalization is associated with a rise in caffeine use disorder. Studying physicians' professional depersonalization could aid in addressing caffeine use disorders. Additionally, exploring the caffeine consumption patterns of healthcare professionals displaying depersonalization towards patients' needs is also worthwhile.

A meta-analysis of randomized controlled trials has suggested a bidirectional relationship between sleep problems and mental health issues. Despite these findings, there is limited conclusive evidence on the relationship between sleep quality, depression, anxiety, and burnout.

The current study aimed to evaluate the relationships between sleep quality symptoms, anxiety, depression, and burnout in samples of adult individuals from two Latin American countries, Peru and El Salvador, through network analysis and to identify key symptoms that reinforce the correlation and intensify the syndromes.

A total of 1012 individuals from El Salvador and Peru participated, with an average age of 26.5 years (SD = 9.1). Symptom networks were constructed for both countries based on data from the Jenkins Sleep Scale, Patient Health Questionnaire-2, General Anxiety Disorder-2, and a single burnout item.

The results indicated that Depressed Mood, Difficulty Falling Asleep, and Nervousness were the most central symptoms in a network in the participating countries. The strongest conditional associations were found between symptoms belonging to the same construct, which were similar in both countries. Thus, there is a relationship between Nervousness and Uncontrollable Worry, Anhedonia and Depressed Mood, and Nighttime Awakenings and Difficulty in Staying Asleep. It was observed that burnout is a bridge symptom between both countries and presents stronger conditional associations with Tiredness on Awakening, Depressed Mood, and Uncontrollable Worry. Other bridge symptoms include a Depressed Mood and Nervousness. The network structure did not differ between the participants from Peru and El Salvador.

The networks formed by sleep quality, anxiety, depression, and burnout symptoms play a prominent role in the comorbidity of mental health problems among the general populations of Peru and El Salvador. The symptom-based analytical approach highlights the different diagnostic weights of these symptoms. Treatments or interventions should focus on identifying central and bridge symptoms.

Burnout and absenteeism are prevalent among healthcare workers, reflecting prolonged work-related stress and dissatisfaction with their job. Identifying poor sleep as a contributing factor can assist in developing targeted interventions. This study explored the relationship between burnout, absenteeism, and sleep among healthcare workers.

A nationwide online cross-sectional study was conducted among healthcare professionals in France during the third wave of COVID-19, from May 2021 to June 2021. Recruitment strategies included outreach through social and professional networks and email invitations. Burnout was assessed using the Maslach Burnout Inventory, absenteeism through self-reported days absent in the preceding 12 months, and sleep quality using the Pittsburgh Sleep Quality Index. The association between burnout, absenteeism, and poor sleep was analyzed using multivariate logistic regression, accounting for individual and professional variables. The study also explored various sleep dimension abnormalities.

Of 10,087 healthcare workers, 55.2 % reported burnout, 20.5 % absenteeism, and 64.8 % poor sleep. Burnout and absenteeism were more frequent in individuals with poor sleep compared to those with good sleep (74.2 % vs. 25.8 % and 75.6 % vs. 24.4 %, respectively). The multivariate analyses confirmed the associations between burnout, absenteeism, and poor sleep (Adjusted Odds Ratio [aOR] = 2.15, 95 % CI [1.97-2.35], p < 0.001; and aOR = 1.49, 95 % CI [1.32-1.67], p < 0.001, respectively).

The study highlighted the intricate relationship between burnout, absenteeism, and poor sleep among healthcare professionals, informing workforce management and policy decisions to foster a supportive work environment and enhance their well-being.

Occupational burnout has been associated with an increased risk of coronary heart disease, although the mechanisms involved are elusive. We investigated whether poor global sleep quality is associated with impaired coronary microvascular function in male physicians, a professional group at increased risk of burnout.

Study participants were 30 male physicians with clinical burnout and 30 controls without burnout defined by the Maslach Burnout Inventory. Global sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI). Endothelium-dependent (cold pressor test) and endothelium-independent (adenosine challenge) coronary microvascular functions were quantified with myocardial perfusion positron emission tomography. In multivariable analyses, the interaction between burnout and the PSQI global score was regressed on measures of coronary microvascular function, adjusting for age, body mass index, physical activity, alcohol consumption, and main effects of burnout and PSQI score.

The prevalence of poor sleepers (PSQI score >5) was 40% in the burnout group and 10% in the control group. Adjusting for covariates, burnout-by-global PSQI score interactions were observed for myocardial blood flow (MBF) at rest ( r partial = -0.30, p = .025), endothelium-dependent coronary flow reserve ( r partial = -0.26, p = .062), MBF response ( r partial = -0.30, p = .028), and hyperemic MBF ( r partial = -0.34, p = .012). The global PSQI score was inversely associated with these MBF measures in the burnout group relative to the control group. No significant interactions emerged for endothelium-independent MBF.

In male physicians with occupational burnout, poor global sleep quality was associated with reduced endothelium-dependent coronary microvascular function, suggesting a mechanism by which burnout may affect cardiovascular health.

To investigate medical students' burnout and motivation levels in each of the six years of their studies during the COVID-19 pandemic and identify independent predictors of burnout and motivation.

An anonymous cross-sectional survey was sent to the students of all six years within our school. Burnout was measured with the adapted Oldenburg Burnout Inventory questionnaire (OLBI-S) and motivation with the updated Strength of Motivation for Medical School (SMMS-R) questionnaire. Univariate analysis was performed with the Kruskal-Wallis test and Spearman's correlation, while multivariable analysis with linear regression models.

A total of 333 medical students (52% of student body) responded. Higher burnout levels correlated with lower motivation to study medicine (rho = -0.30, p < 0.001). Burnout levels differed between the six years of medical studies, peaking in years two and four whereas being the lowest in year one (p = 0.01). Motivation levels differed significantly as well, peaking in years one and four whereas being the lowest in years five and six (p = 0.012). In the multivariable linear regression models, being a female (b = 2.22, p = 0.016), studying in the fourth year vs. first year (b = 2.54, p = 0.049), having a perceived beginner/intermediate vs. advanced/expert technology level (b = 2.05, p = 0.032) and a perceived poor school support system (b = 6.35, p < 0.001) were independently associated with higher burnout levels. Furthermore, studying in the fifth year vs. first year (b = -5.17, p = 0.019) and a perceived poor school support system (b = -3.09, p = 0.01) were independently associated with a reduced motivation to study medicine.

Our study highlighted potential areas for intervention to decrease the rate of burnout and low motivation among medical students. However, further research is needed to unravel the full effect of the pandemic on medical students.

Burnout syndrome (BS) is the result of chronic stress in the workplace. Moreover, chronic stress can affect sleep. A unidirectional relationship has been established between burnout and sleep, and it is known that white-collar workers with burnout syndrome have sleep fragmentation and marked daytime sleepiness.

The aim of this study was to assess the relationships between burnout and sleep quality in elementary school teachers in Mexico.

We collected data from more than 400 teachers who completed tests. Correlation analyses controlled for anxiety and depression, and Poisson logistic regression analyses were performed to examine the relationships of burnout with sleep quality, depression, and anxiety.

There was a significant correlation between burnout syndrome (mainly in the dimension of emotional exhaustion) and sleep disturbances; significant correlations were also observed with other burnout, depression, and anxiety dimensions. The strength of the correlations decreased after controlling for depression and anxiety.

The symptoms of burnout syndrome in teachers can overlap with sleep disorders, so it is necessary to make a differential diagnosis to differentiate burnout syndrome from depression and anxiety, among others.