Burnout, daytime sleepiness and sleep quality among technical-level Nursing students

Effects of environmental and genetic interactions on job burnout in coal miners: interactions between occupational stress, coping styles, and NR3C2 gene polymorphisms

Objectives

To investigate the current situation regarding occupational burnout among coal miners, explore the relationship between NR3C2 gene polymorphism and occupational burnout, and analyze the influence of the interaction between environment and gene on occupational burnout. This study provides a scientific basis for formulating health strategies to combat job burnout.

Methods

A total of 1,500 first-line coal mine workers were selected by cluster random sampling, and the job burnout scale, job content questionnaire (JCQ), and simplified coping style questionnaire (SCSQ) were used for the questionnaire survey. A total of 150 workers were randomly selected from the high burnout group and the low burnout group, and a total of 300 workers were selected as the research objects to examine the relationship between gene polymorphism, environment-gene interactions and burnout. This study employed iMLDRTM genotyping technology for NR3C2 gene (rs5522, rs2070950) polymorphism analysis. The relationship between the occurrence of job burnout, occupational stress, coping styles and the NR3C2 gene was analyzed.

Results

Finally, a total of 1,282 valid questionnaires were retrieved, with an effective recovery rate of 85.5%. The study included 128 participants (10%) with zero burnout, 400 (31.2%) with mild burnout, 649 (50.6%) with moderate burnout and 105 (8.2%) with severe burnout. There were significant differences in the rate of burnout among miners with respect to sex, age, working years, educational level, shifts, and marital status (P < 0.05). The difference in occupational stress between the different job burnout groups was statistically significant (P < 0.05). Compared with the GG genotype of rs2070950 of the NR3C2 gene, the CC genotype was identified as a susceptibility gene for occupational burnout (P < 0.05). In respect to rs5522, rs2070950, occupational stress, positive coping, and negative coping, the low-risk group was unlikely to suffer from job burnout compared with the high-risk group (OR = 0.103, 95%CI: 0.058-0.182).

Conclusion

In addition to demographic characteristics, occupational stress and negative coping styles were also identified as risk factors for job burnout. The interaction between locus rs5522, locus rs2070950, occupational stress, positive response, and negative response were found to affect the incidence of occupational burnout.

Genome-wide associations, polygenic risk, and Mendelian randomization reveal limited interactions between John Henryism and cynicism

BACKGROUND

John Henryism (JH) is a strategy for dealing with chronic psychological stress characterized by high levels of physical effort and work. Cynicism is a belief that people are motivated primarily by self-interest. High scores on the JH scale and cynicism measures correlate with an increased risk of cardiovascular disease. High cynicism is also a hallmark of burnout syndrome, another known risk factor for heart disease.

AIM

To evaluate possible interactions between JH and cynicism hoping to clarify risk factors of burnout.

METHODS

We analyzed genetic and psychological data available from the Database of Genotypes and Phenotypes for genome-wide associations with these traits. We split the total available samples and used plink to perform the association studies on the discovery set (n = 1852, 80%) and tested for replication using the validation set (n = 465). We used scikit-learn to perform supervised machine learning for developing genetic risk algorithms.

RESULTS

We identified 2, 727, and 204 genetic associations for scores on the JH, cynicism and cynical distrust (CD) scales, respectively. We also found 173 associations with high cynicism, 109 with high CD, but no associations with high JH. We also produced polygenic classifiers for high cynicism using machine learning with areas under the receiver operator characteristics curve greater than 0.7.

CONCLUSION

We found significant genetic components to these traits but no evidence of an interaction. Therefore, while there may be a genetic risk, JH is not likely a burnout risk factor.

Academic burnout among master and doctoral students during the COVID-19 pandemic

The COVID-19 outbreak has had an immense impact on academic life and public health. Graduate students had experienced obligatory curfews and quarantines due to the COVID-19 outbreak directly impacting their mental health and triggering academic burnout. In this cross-sectional study, we address the issue of mental health in graduate students by relating it to the factors associated with burnout syndrome during the COVID-19 pandemic. A total of 519 graduate students from master's and Ph.D./DLA degrees across universities in Hungary and other European countries participated in this study. The Copenhagen burnout inventory student version was used to evaluate burnout syndrome as an outcome. Our findings displayed burnout significantly lower among graduate students who had good sleep quality, receive high levels of support from their university, and were satisfied with how their university dealt with the pandemic. The excessive consumption of alcohol, the use of antidepressants, being single, and thinking about dropping out showed as predictive factors of burnout. The results add to emergent evidence on the impact of the COVID-19 pandemic on mental health and the predicted factors of academic burnout among master and doctoral students.

Prevalence and associated factors of burnout among nursing students: A systematic review and meta-analysis

OBJECTIVES

To systematically estimate the global prevalence of burnout among nursing students, and examine the associated factors of burnout in this population.

DESIGN

A systematic review and meta-analysis.

REVIEW METHODS AND DATA SOURCES

PubMed, Embase, Web of Science, and CINAHL were searched from inception to June 30th, 2022. Two researchers independently screened studies, extracted data and assessed the quality of included studies. The random-effects model was used to estimate the global prevalence of burnout among nursing students. Subgroup analysis, meta-regression analysis, publication bias, and sensitivity analysis were also conducted.

RESULTS

A total of 21 studies were included, involving 10,861 nursing students. In the random-effects model, the pooled prevalence of burnout was 23.0 % (95 % CI = 15.6-30.5 %) in nursing students. The pooled prevalence of emotional exhaustion, depersonalization, and reduced personal accomplishment was 47.1 %, 32.2 %, and 43.5 %, respectively. Main associated factors of burnout included demographic (e.g., age and grade), educational (e.g., workload, academic satisfaction, and incivility experience), physical (e.g., sleep quality and physical activity), and psychological (e.g., self-efficacy and personality traits) factors.

CONCLUSIONS

Burnout is common in nursing students, with demographic, educational, physical, and psychological factors affecting their burnout. Early screening of burnout and interventions to prevent and reduce burnout should be considered for nursing students.

Risk Factors Surrounding an Increase in Burnout and Depression Among Health Care Professionals in Taiwan During the COVID-19 Pandemic

OBJECTIVES

This study aimed to investigate the risk factors surrounding an increase in both burnout levels and depression among health care professionals in Taiwan through use of a longitudinal study design.

DESIGN

This is a 2-year observational study that took place from January 2019 to December 2020.

SETTING AND PARTICIPANTS

Data among health care professionals were extracted from the Overload Health Control System of a tertiary medical center in central Taiwan.

METHODS

Burnout was measured through use of the Chinese version of the Copenhagen Burnout Inventory (C-CBI), whereas depression was ascertained by the Taiwanese Depression Questionnaire. Each participant provided both burnout and depression measurements during a nonpandemic period (2019) as well as during the COVID pandemic era (2020). Risk factors surrounding an increase in burnout levels and depression were analyzed through a multivariate logistic regression model with adjusting confounding factors.

RESULTS

Two thousand nineteen participants completed the questionnaire over 2 consecutive years, including 132 visiting doctors, 105 resident doctors, 1371 nurses, and 411 medical technicians. After adjustments, sleeplessness, daily working hours >8, and stress due to one's workload were all found to be risk factors for an increase in depression levels, whereas sleeplessness, lack of exercise, and stress due to one's workload were all found to be risk factors for an increase in personal burnout level. Being a member of the nursing staff, a younger age, sleeplessness, and lack of exercise were all risk factors for an increase in work-related burnout levels.

CONCLUSIONS AND IMPLICATIONS

Poor sleep, lack of exercise, long working hours, and being a member of the nursing staff were risk factors regarding an increase in personal burnout, work-related burnout levels and depression among health care professionals. Leaders within the hospital should investigate the working conditions and personal habits of all medical staff regularly and systematically during the COVID-19 pandemic and take any necessary preventive measures, such as improving resilience for nursing staff, in order to best care for their employees.

Burnout and coping strategies among nurses in Malaysia: a national-level cross-sectional study

OBJECTIVE

This national-level study aimed to determine the prevalence and risk factors of burnout, as well as the coping strategies among nurses in the Ministry of Health (MOH) Malaysia.

DESIGN

Using a complex sampling design, a two-stage stratified cluster sampling was performed to recruit MOH nurses between August and November 2019.

SETTING AND PARTICIPANTS

A total of 2428 nurses from 32 hospitals and 28 district health offices answered the questionnaires based on Maslach Burnout Inventory for Human Services and Brief COPE. Complex sampling analysis was applied.

OUTCOME MEASURES

The outcome of interest was the prevalence of burnout and its three domains of emotional exhaustion (EE), depersonalisation (DP) and low personal accomplishment. ORs using 95% CIs were calculated. Significant factors at the univariate level were entered into the multivariate logistic regression to identify independent predictors of burnout.

RESULTS

One in four (24.4%) nurses experienced burnout. Younger, single, and childless nurses had a higher prevalence of burnout. Shift working nurses were 1.6 times more likely to develop burnout. Those who performed >6 night shifts per month were 1.5 times more predisposed to burnout (95% CI 1.01 to 2.36; p<0.05). While encountering traumatic events at work led to 4.2 times (95% CI 2.31, 7.63; p<0.05) higher risk of burnout, those who received post-traumatic psychological support were better protected. The use of dysfunctional coping strategies was detrimental as it was positively correlated with EE and DP.

CONCLUSION

Addressing modifiable stressors of burnout at individual and institutional levels identified in this study can be potentially beneficial in reducing burnout and its undesirable effects among nurses. Interventions that promote positive coping strategies should be implemented. Organisational-driven efforts must target the improvement of work schedules for nurses and the establishment of a structured debriefing service for post-trauma counselling.

Does seasonal variation in orthopaedic trauma volume correlate with adverse hospital events and burnout?

INTRODUCTION

Assessing workload and mitigating burnout risk should be a constant goal within training programs. By using work relative value unit (wRVU) data in a non-elective orthopaedic trauma practice, we investigated seasonal variation in workload on an orthopaedic trauma service at a level I trauma centre. We also investigated whether there was a correlation in seasonal preventable adverse patient safety events (PSEs) and resident Epworth Sleepiness Scale (ESS) scores.

MATERIALS AND METHODS

Data on wRVUs were collected over an 8-year period for a single orthopaedic trauma surgeon with a non-elective practice. Monthly wRVU totals were tabulated over this 8-year period and compared with total hospital orthopaedic surgical trauma volume. The total number of wRVUs and surgical cases analysed were 80,955 and 9,928 respectively. A total of 1,560 PSEs and four years of resident ESS scores were analysed. Data on seasonal variations was evaluated for significance utilizing the Kruskal-Wallis test. WRVUs were then compared to total case volume, PSEs, and resident ESS scores using Spearman's correlation coefficients.

RESULTS

We found that wRVUs significantly differed by month (P-value < 0.001) and season (P-value < 0.001) with the highest volume occurring in the summer months. Seasonal variation in wRVUs demonstrated a positive linear correlation with total surgical volume (P-value <0.001) and resident reported ESS scores (P-value = 0.001). PSEs were highest in the summer (P = 0.026), but were not correlated with our findings of seasonal variations in orthopaedic volume (P-value = 0.741).

CONCLUSION

WRVUs of our single surgeon's orthopaedic trauma practice had a seasonal variation with significantly higher volume during the summer. These findings were representative of seasonal variations in total hospital orthopaedic trauma volume and also demonstrated correlation with objective resident sleepiness scores. PSEs were more frequent in the summer but not correlated with seasonal variation in volume. Burnout poses a risk to patient safety and has been shown to be correlated with increased work volume. These topics are important and applicable to various specialties involved in the care of patients with orthopaedic trauma injuries.