Mental fatigue in stress-related exhaustion disorder: Structural brain correlates, clinical characteristics and relations with cognitive functioning

The moderating role of coping styles on the associations of fatigue with life satisfaction in Chinese nurses: a cross-sectional study

BACKGROUND

Fatigue affects nurses negatively and may influence life satisfaction. According to the stress process model, active coping might influence the impact of adverse conditions such as fatigue on well-being measures such as life satisfaction. However, no research examined the associations among nurses' fatigue, coping styles, and life satisfaction.

METHODS

The cross-sectional study was conducted in Liaoning Province, China. 482 effective questionnaires were collected (effective response rate of 80.3%). The questionnaire included Fatigue Scale-14, Simplified Coping Style Questionnaire and Satisfaction with Life Scale. The association among fatigue, coping styles and fatigue × coping styles interaction with life satisfaction was examined by hierarchical multiple regression analysis. The interaction was visualized by simple slope analysis.

RESULTS

Mean score of life satisfaction was 22.74 ± 6.11. Active coping moderated the relationship between mental fatigue and life satisfaction. The impacts of mental fatigue on life satisfaction gradually decreased in the low (1 SD below the mean, β=-0.400, P < 0.001), mean (β=-0.312, P < 0.001), and high (1 SD above the mean, β=-0.224, P < 0.001) groups of active coping.

CONCLUSION

The life satisfaction of Chinese nurses was relatively low. Active coping could alleviate the impact of mental fatigue on life satisfaction. Developing active coping styles might be a crucial strategy to alleviate nurses' mental fatigue and improve life satisfaction.

Occupational burnout and public stigma associated with employee mental well-being: A multi-industry, cross-sectional study during COVID-19

BACKGROUND

While mental illness (e.g., depression, anxiety) has been examined frequently in the workplace, the COVID-19 pandemic has only increased the attention towards mental illness. Mental well-being views mental health as a continuum from ill health to thriving. Few studies have examined factors associated with mental well-being in the workplace. Public stigma for mental illness, the general population's negative attitude towards mental illness, and occupational burnout are examined.

OBJECTIVE

The purpose of this study was to examine the relationship between burnout and public stigma on mental well-being in a sample of employees across industries in the United States.

METHODS

Employees surveyed from 16 companies from various industries were assessed. Room Here, a non-profit organization whose goal is to improve employee mental fitness, gathered data from these companies located in the western mountain region of the U.S. Data were collected during the pandemic. Across this portfolio of companies, 259 employees were included in the sample. Survey assesses respondents' mental well-being, stigma towards mental illness, and occupational burnout. Ordinary least squares (OLS) regression was used in this cross-sectional study on secondary data.

RESULTS

Results suggested occupational burnout was associated with a decrease in mental well-being, while public stigma was associated with an improvement in mental well-being.

CONCLUSION

This study sought to examine the relationship between mental well-being, burnout, and public stigma. Employee burnout and public stigma were related to mental well-being. Implications for burnout and stigma reduction programs are discussed as well as future research.

Lateral prefrontal cortex thickness is associated with stress but not cognitive fatigue in exhaustion disorder

Introduction

Impaired executive functioning, including cognitive fatigue, is a core feature of the long-term stress-related condition exhaustion disorder (ED). Recent research suggests that a key area for executive control, the lateral prefrontal cortex (LPFC), may be mechanistically linked to cognitive fatigue due to stress. Here, we therefore asked if and how stress, the LPFC and cognitive fatigue may be related in ED.

Methods

We used a multimodal cross-sectional study design with high-resolution structural magnetic resonance imaging (MRI), self-reported measures, and path analysis modeling in 300 participants with ED.

Results

We found positive associations between stress and cognitive fatigue, and stress and LPFC thickness,but no association between LPFC thickness and cognitive fatigue. Furthermore, LPFC thickness did not mediate or moderate the association between stress and cognitive fatigue.

Discussion

These findings suggest that LPFC brain morphology is related to perceived stress levels but not cognitive fatigue, expanding previous research on the role of the LPFC in executive functioning. Moreover, the results support the notion that the LPFC may be mechanistically involved in stress-related executive function impairment but prompt further research into if and how this may be related to cognitive symptoms in ED.

Occupational stress is associated with sex and subregion specific modifications of the amygdala volumes

Background: Despite the rapid increase in reports of exhaustion syndrome (ES) due to daily occupational stress, the mechanisms underlying ES are unknown. In the present study, we investigated whether occupational ES is associated with specific modifications of the subfields of the amygdala and hippocampus resembling those described in other chronic stress conditions. Special focus was paid to possible sex differences.Methods: As a follow up to our previous studies of occupational ES, we carried out MRI-based subfield segmentation of the hippocampus and amygdala volumes in 58 patients with occupational ES (22 males) and 65 age-matched controls (27 males) (age range 30-46 years).Results: There was a significant and bilateral enlargement of the lateral, basal and central nucleus of the amygdala in patients with ES (corrected for the total intracranial volume (ICV)). These differences were detected only in females. Higher values in the right central and right basal amygdala remained when the whole amygdala volume was used as reference, instead of the ICV. Notably, in female patients the volumes of these specific nuclei were positively correlated with the degree of perceived stress. No changes in the hippocampus subfields were detected in female or male patients.Conclusions: The findings underline that ES is a chronic stress condition, suggesting that not only extreme forms of stress, but also the everyday stress is associated with localized differences from controls in the amygdala. The absence of significant alterations among men with ES despite a similar degree of perceived stress supports the notion that women seem more susceptible to stress-related cerebral changes, and may explain the higher prevalence of ES among women.

Subjective cognitive complaints and its associations to response inhibition and neural activation in patients with stress-related exhaustion disorder

Stress-related exhaustion is associated with cognitive deficits, measured subjectively using questionnaires targeting everyday slips and failures or more objectively as performance on cognitive tests. Yet, only weak associations between subjective and objective cognitive measures in this group has been presented, theorized to reflect recruitment of compensational resources during cognitive testing. This explorative study investigated how subjectively reported symptoms of cognitive functioning and burnout levels relate to performance as well as neural activation during a response inhibition task. To this end, 56 patients diagnosed with stress-related exhaustion disorder (ED; ICD-10 code F43.8A) completed functional magnetic resonance imaging (fMRI) using a Flanker paradigm. In order to investigate associations between neural activity and subjective cognitive complaints (SCCs) and burnout, respectively, scores on the Prospective and Retrospective Memory Questionnaire (PRMQ) and the Shirom-Melamed Burnout Questionnaire (SMBQ) were added as covariates of interest to a general linear model at the whole-brain level. In agreement with previous research, the results showed that SCCs and burnout levels were largely unrelated to task performance. Moreover, we did not see any correlations between these self-report measures and altered neural activity in frontal brain regions. Instead, we observed an association between the PRMQ and increased neural activity in an occipitally situated cluster. We propose that this finding may reflect compensational processes at the level of basic visual attention which could go unnoticed in cognitive testing but still be reflected in the experience of deficits in everyday cognitive functioning.

Stress-Related Exhaustion, Polygenic Cognitive Potential, and Cognitive Test Performance - A General Population Study

Background

We investigated whether stress-related exhaustion (chronic or short-term, and co-occurring with depression or not) is related to cognitive performance and whether polygenic cognitive potential modifies these associations.

Methods

The participants were from the Young Finns Study (N = 541-1273). Stress-related exhaustion was assessed using the Maastricht Questionnaire, depressive symptoms with the Beck Depression Inventory, and cognitive performance with subtests of the Cambridge Neuropsychological Test Automated Battery, measuring visuospatial learning, reaction time, sustained attention, and executive function. Cognitive performance and depression were assessed in 2011, and exhaustion in 2001, 2007, and 2011. A polygenic score for cognitive potential was calculated based on a GWAS on intelligence.

Results

High stress-related exhaustion, especially chronic, was associated with slower reaction time. Only clinical levels of depression were related to slower reaction time. Polygenic cognitive potential did not modify these associations. There were no differences in cognitive performance between individuals with co-occurring exhaustion and depression vs. those with only either condition.

Conclusion

Stress-related exhaustion, especially if chronic, seems to relate to slower reactions. Co-occurring exhaustion and depression may not have additive effects on cognitive performance. High polygenic cognitive potential may not protect from or predispose to harmful effects of exhaustion or depression on reaction time.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10608-023-10354-z.

Exhaustion disorder: scoping review of research on a recently introduced stress-related diagnosis

BACKGROUND

Symptoms related to chronic stress are prevalent and entail high societal costs, yet there is a lack of international consensus regarding diagnostics and treatment. A new stress-related diagnosis, exhaustion disorder, was introduced into the Swedish version of ICD-10 in 2005. Since then, use of the diagnosis has increased rapidly.

AIMS

To create the first comprehensive synthesis of research on exhaustion disorder to report on the current state of knowledge. Preregistration: Open Science Framework (http://www.w3.org/1999/xlink">osf.io), doi 10.17605/OSF.IO/VFDKW.

METHOD

A PRISMA-guided scoping review of all empirical studies of exhaustion disorder was conducted. Searches were run in the MEDLINE, PsycInfo and Web of Science databases. Data were systematically charted and thematically categorised based on primary area of investigation.

RESULTS

Eighty-nine included studies were sorted into six themes relating to lived experience of exhaustion disorder (n = 9), symptom presentation and course (n = 13), cognitive functioning (n = 10), biological measures (n = 24), symptom measurement scales (n = 4) and treatment (n = 29). Several studies indicated that individuals with exhaustion disorder experience a range of psychiatric and somatic symptoms beyond fatigue, but robust findings within most thematic categories were scarce. The limited number of studies, lack of replication of findings and methodological limitations (e.g. small samples and scarcity of specified primary outcomes) preclude firm conclusions about the diagnostic construct.

CONCLUSIONS

More research is needed to build a solid knowledge base for exhaustion disorder. International collaboration regarding the conceptualisation of chronic stress and fatigue is warranted to accelerate the growth of evidence.

[Tiredness, fatigue and exhaustion: all the same or manifestations of a continuum?-Food for thought]

Owing to the COVID-19 pandemic and the associated post-COVID syndrome, the concept "fatigue" has gained significant importance. However, both the definition and the causes of fatigue differ depending on the disease pattern in question. Moreover, individuals who describe their symptoms in everyday clinical settings seem almost universally to use the terms tiredness, fatigue and exhaustion synonymously. In 2007, Olson described these three terms as being distinct states in her view, but that they can be placed in relation to each other on a continuum. Taking up this consideration, an overview of current research is provided. For this purpose, the published literature of the last 2 years was searched for the terms "tiredness", "fatigue" and "exhaustion". Some common diagnostic instruments can be found. However, the great variety of instruments used to capture the three terms is striking. Despite these different diagnostic and definition possibilities, different therapeutic measures can be derived for each of the three symptoms. It is crucial, especially with regard to further therapy, to separate the three terms tiredness, fatigue and exhaustion from each other and to consider each of them separately on the common continuum. This is the only way to establish both an accurate diagnosis and the successful individual therapy that goes along with it.

Plasma levels of S100B and neurofilament light chain protein in stress-related mental disorders

The pathophysiological changes underlying stress-related mental disorders remain unclear. However, research suggests that alterations in astrocytes and neurons may be involved. This study examined potential peripheral markers of such alterations, including S100B and neurofilament light chain (NF-L). We compared plasma levels of S100B and NF-L in patients with chronic stress-induced exhaustion disorder (SED), patients with major depressive disorder (MDD), and healthy controls. We also investigated whether levels of S100B and NF-L correlated with levels of astrocyte-derived extracellular vesicles (EVs that indicate astrocyte activation or apoptosis) and with symptom severity. Only women had measurable levels of S100B. Women with SED had higher plasma levels of S100B than women with MDD (P < 0.001) and healthy controls (P < 0.001). Self-rated symptoms of cognitive failures were positively correlated with levels of S100B (r_s = 0.434, P = 0.005) as were depressive symptoms (r_s = 0.319, P < 0.001). Plasma levels of astrocyte-derived EVs were correlated with levels of S100B (r_s = 0.464, P < 0.001). Plasma levels of NF-L did not differ between the groups and were not correlated with symptom severity or EV levels. Thus, long-term stress without sufficient recovery and SED may be associated with raised plasma levels of S100B, which may be evidence of pathophysiological changes in astrocytes. The findings also support the hypothesis that plasma levels of S100B are associated with cognitive dysfunction.

Interpretable Machine Learning Models for Three-Way Classification of Cognitive Workload Levels for Eye-Tracking Features

The paper is focussed on the assessment of cognitive workload level using selected machine learning models. In the study, eye-tracking data were gathered from 29 healthy volunteers during examination with three versions of the computerised version of the digit symbol substitution test (DSST). Understanding cognitive workload is of great importance in analysing human mental fatigue and the performance of intellectual tasks. It is also essential in the context of explanation of the brain cognitive process. Eight three-class classification machine learning models were constructed and analysed. Furthermore, the technique of interpretable machine learning model was applied to obtain the measures of feature importance and its contribution to the brain cognitive functions. The measures allowed improving the quality of classification, simultaneously lowering the number of applied features to six or eight, depending on the model. Moreover, the applied method of explainable machine learning provided valuable insights into understanding the process accompanying various levels of cognitive workload. The main classification performance metrics, such as F1, recall, precision, accuracy, and the area under the Receiver operating characteristic curve (ROC AUC) were used in order to assess the quality of classification quantitatively. The best result obtained on the complete feature set was as high as 0.95 (F1); however, feature importance interpretation allowed increasing the result up to 0.97 with only seven of 20 features applied.