Investigating brain cortical activity in patients with post-COVID-19 brain fog.

Brain fog is a kind of mental problem, similar to chronic fatigue syndrome, and appears about 3 months after the infection with COVID-19 and lasts up to 9 months. The maximum magnitude of the third wave of COVID-19 in Poland was in April 2021. The research referred here aimed at carrying out the investigation comprising the electrophysiological analysis of the patients who suffered from COVID-19 and had symptoms of brain fog (sub-cohort A), suffered from COVID-19 and did not have symptoms of brain fog (sub-cohort B), and the control group that had no COVID-19 and no symptoms (sub-cohort C). The aim of this article was to examine whether there are differences in the brain cortical activity of these three sub-cohorts and, if possible differentiate and classify them using the machine-learning tools. he dense array electroencephalographic amplifier with 256 electrodes was used for recordings. The event-related potentials were chosen as we expected to find the differences in the patients' responses to three different mental tasks arranged in the experiments commonly known in experimental psychology: face recognition, digit span, and task switching. These potentials were plotted for all three patients' sub-cohorts and all three experiments. The cross-correlation method was used to find differences, and, in fact, such differences manifested themselves in the shape of event-related potentials on the cognitive electrodes. The discussion of such differences will be presented; however, an explanation of such differences would require the recruitment of a much larger cohort. In the classification problem, the avalanche analysis for feature extractions from the resting state signal and linear discriminant analysis for classification were used. The differences between sub-cohorts in such signals were expected to be found. Machine-learning tools were used, as finding the differences with eyes seemed impossible. Indeed, the A&B vs. C, B&C vs. A, A vs. B, A vs. C, and B vs. C classification tasks were performed, and the efficiency of around 60-70% was achieved. In future, probably there will be pandemics again due to the imbalance in the natural environment, resulting in the decreasing number of species, temperature increase, and climate change-generated migrations. The research can help to predict brain fog after the COVID-19 recovery and prepare the patients for better convalescence. Shortening the time of brain fog recovery will be beneficial not only for the patients but also for social conditions.

Factors associated with burnout among hospital-based healthcare workers during the COVID-19 pandemic: A cross-sectional CRACoV-HHS study.

AIMS: To assess the prevalence of burnout and associated factors among healthcare workers (HCWs) working in a hospital admitting patients with COVID-19. BACKGROUND: Burnout among HCWs is related to age, gender and occupation. However, little is known about organisational factors associated with burnout during the COVID-19 pandemic. DESIGN: A cross-sectional study of 1412 hospital HCWs (748 nurses) was carried out via online survey during the COVID-19 pandemic between 4 and 19 January 2021. METHODS: The Maslach Burnout Inventory-Human Services Survey, the Checklist Individual Strength questionnaire, the interRAI items covering mental health, the WHO questionnaire items assessing HCWs' preparedness and exposure to SARS-CoV-2 were used. Univariable and multivariable linear regression analyses were conducted to clarify factors associated with emotional exhaustion (EE), depersonalisation (DP) and personal accomplishment (PA). This study adheres to the STROBE guidelines. RESULTS: Burnout prevalence varied from 10.0% to 22.0%. Most respondents (83.6%) reported low PA, 22.9% high EE and 18.7% high DP. Nurses and physicians had the highest levels of EE and DP. Staff exposed or uncertain if exposed to contaminated patients' body fluids and materials had higher levels of burnout. Preparedness (training) (b = 1.15; 95%CI 0.26 to 2.05) and adherence to infection prevention and control procedures (b = 1.57; 95%CI 0.67 to 2.47) were associated with higher PA, and accessibility of personal protective equipment (PPE) (b = -1.37; 95%CI -2.17 to -0.47) was related to lower EE. HCWs working in wards for patients with COVID-19 reported lower EE (b = -1.39; 95%CI -2.45 to -0.32). HCWs who contracted COVID-19 reported lower DP (b = -0.71, 95%CI -1.30 to -0.12). CONCLUSIONS: Organisational factors such as better access to PPE, training, and adherence to infection prevention and control procedures were associated with a lower level of burnout. RELEVANCE TO CLINICAL PRACTICE: Healthcare managers should promote strategies to reduce burnout among HCWs with regard to preparedness of all staff.

Factors Associated with Insomnia and Aggression among Healthcare Workers during COVID-19 Pandemic.

(1) Healthcare workers are exposed to increased risks of insomnia and aggression during the COVID-19 pandemic. The aim of the study was to assess insomnia, sleep disturbances, and aggression and identify the associated risk factors among healthcare workers during the COVID-19 pandemic. (2) A total of 264 healthcare workers participated in the study. The study was conducted with the diagnostic survey method, using the Buss−Perry Aggression Questionnaire, the Athens Insomnia Scale, the Pittsburgh Sleep Quality Index, and a self-administered questionnaire. (3) The vast majority of the respondents (81.06%) suffered from insomnia and had poor sleep quality (78.03%). Education (p = 0.038), marital status (p = 0.043), and working with patients suffering from COVID-19 (p = 0.024) were statistically significant contributors to insomnia. Age was found to significantly correlate with total aggression (r = −0.133 p = 0.031), verbal aggression (r = −0.138 p = 0.025), and anger (r = −0.151 p = 0.014). The analysis demonstrated statistically significant relationships between gender and physical aggression (p = 0.017), anger (p = 0.032), and hostility (p = 0.002). A statistically significant positive correlation between the quality of sleep as per the PSQI and all subscales of the BPAQ was found (p < 0.001). (4) A considerable proportion of HCWs experienced sleep disturbances during the outbreak, stressing the need to establish ways to reduce long-term adverse outcomes associated with chronic insomnia and mental health problems and adjust interventions under pandemic conditions.

Prevalence of burnout among healthcare professionals during the COVID-19 pandemic and associated factors - a scoping review.

The outbreak of the COVID-19 pandemic exerted significant mental burden on healthcare workers (HCWs) operating in the frontline of the COVID-19 care as they experienced high levels of stress and burnout. The aim of this scoping review was to identify prevalence and factors associated with burnout among HCWs during the first year of the COVID-19 pandemic. A literature search was performed in PubMed, Web of Science, and CINAHL. Studies were selected based on the following inclusion criteria: cross-sectional, longitudinal, case-control, or qualitative analyses, published in peer-reviewed journals, between January 1, 2020 and February 28, 2021. Studies carried out on other occupations than healthcare workers or related to other pandemics than COVID-19 were excluded. Following the abstract screen, from 141 original papers identified, 69 articles were eventually selected. A large variation in the reported burnout prevalence among HCWs (4.3-90.4%) was observed. The main factors associated with increase/ decrease of burnout included: demographic characteristics (age, gender, education level, financial situation, family status, occupation), psychological condition (psychiatric diseases, stress, anxiety, depression, coping style), social factors (stigmatisation, family life), work organization (workload, working conditions, availability of staff and materials, support at work), and factors related with COVID-19 (fear of COVID-19, traumatic events, contact with patients with COVID-19, having been infected with COVID-19, infection of a colleague or a relative with COVID-19, higher number of deaths observed by nurses during the COVID-19 pandemic). The findings should be useful for policy makers and healthcare managers in developing programs preventing burnout during the current and future pandemics. Int J Occup Med Environ Health. Int J Occup Med Environ Health. 2023;36(1):21-58.

Job Demands, Resources and Burnout Among Polish Nurses During the Late Wave of COVID-19 Pandemic: The Mediating Role of Emotional Labor.

Objective: Burnout has been recognized as a serious health problem. Nurses as a professional group are at a high risk of burnout occurrence, especially when facing burden associated with the COVID-19 pandemic. Despite evidence that higher job demands lead to burnout, there is less known about the indirect effect of job demands and resources on burnout via surface acting. Using the JD-R framework, this study examined how job demands and resources affected burnout among Polish nurses and whether these relationships are mediated by surface acting and moderated by coping with the workload. Materials and Methods: A sample of 270 nurses from the biggest hospital in Southern Poland filled out an online questionnaire at the time between the fourth and the fifth wave of the COVID-19 pandemic in Poland. The Polish adaptations of Oldenburg Burnout Inventory (OLBI), Organizational Constraints Scale (OCS), Interpersonal Conflict at Work Scale (ICAWS), Areas of Worklife Survey (AWS), and Emotional Labor Scale (ELS) were used. Mediation and moderation analyses were carried out in the SPSS macro-PROCESS. Results: Surface acting partially mediated the positive association between organizational constraints and interpersonal conflict at work and burnout, as well as the negative association between the perceived organizational support and burnout. Coping with workload moderated the direct effect of organizational constraints on burnout via surface acting. Conclusion: The findings enrich the knowledge of the mediating and moderating mechanisms to explain the association between job demands, resources and burnout among nurses. There have been proposed interventions concerning increasing organizational support, effective emotional regulation of management education and psychological training regarding adequate coping strategies which could help reduce or prevent the occurrence of burnout in this professional group.

Modeling and Comparing Brain Processes in Message and Earned Source Credibility Evaluation.

Understanding how humans evaluate credibility is an important scientific question in the era of fake news. Source credibility is among the most important aspects of credibility evaluations. One of the most direct ways to understand source credibility is to use measurements of brain activity of humans who make credibility evaluations. This article reports the results of an experiment during which we have measured brain activity during credibility evaluation using EEG. In the experiment, participants had to learn source credibility of fictitious students based on a preparatory stage, during which they evaluated message credibility with perfect knowledge. The experiment allowed for identification of brain areas that were active when a participant made positive or negative source credibility evaluations. Based on experimental data, we modeled and predicted human source credibility evaluations using EEG brain activity measurements with F1 score exceeding 0.7 (using 10-fold cross-validation). We are also able to model and predict message credibility evaluations with perfect knowledge, and to compare both models obtained from a single experiment.

Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation.

Understanding how humans evaluate credibility is an important scientific question in the era of fake news. Source credibility is among the most important aspects of credibility evaluations. One of the most direct ways to understand source credibility is to use measurements of brain activity of humans performing credibility evaluations. Nevertheless, source credibility has never been investigated using such a method before. This article reports the results of an experiment during which we have measured brain activity during source credibility evaluation, using EEG. The experiment allowed for identification of brain areas that were active when a participant made positive or negative source credibility evaluations. Based on experimental data, we modeled and predicted human source credibility evaluations using EEG brain activity measurements with F1 score exceeding 0.7 (using 10-fold cross-validation).