Background: Compassion fatigue is a true phenomenon experienced by overworked and exhausted nurses. Objective: This study assessed frontline nurses' compassion fatigue, stress, mental health, and turnover intention during the second year of the COVID-19 outbreak Methods: Using a cross-sectional design, an online survey was administered in the first quarter of 2021 to 259 hospital nurses in the Central Philippines using standardized scales to gather the necessary data. Results: Nurses were found to have moderate levels of compassion fatigue and turnover intention, high stress, and good mental health. Results revealed that compassion fatigue was associated with poor mental health (r = −5.05, p = 0.01), higher stress levels (r = 0.54, p = <0.001), and turnover intention (r = 0.27, p = <0.001). Conclusion Pandemic-related compassion fatigue in nurses increases their stress, worsens their mental health, and heightens their intentions to leave their jobs. Organizations should address compassion fatigue through a supportive work climate.
Compassion Fatigue ; Mental Health ; Nursing

Background: Compassion fatigue is a true phenomenon experienced by overworked and exhausted nurses. Objective: This study assessed frontline nurses' compassion fatigue, stress, mental health, and turnover intention during the second year of the COVID-19 outbreak. Methods: Using a cross-sectional design, an online survey was administered in the first quarter of 2021 to 259 hospital nurses in the Central Philippines using standardized scales to gather the necessary data. Results: Nurses were found to have moderate levels of compassion fatigue and turnover intention, high stress, and good mental health. Results revealed that compassion fatigue was associated with poor mental health (r = −5.05, p = 0.01), higher stress levels (r = 0.54, p = <0.001), and turnover intention (r = 0.27, p = <0.001). Conclusion Pandemic-related compassion fatigue in nurses increases their stress, worsens their mental health, and heightens their intentions to leave their jobs. Organizations should address compassion fatigue through a supportive work climate.
Compassion Fatigue ; mental health ; nursing ; stress

OBJECTIVES: New organizational work systems, and their impact on the mental health of employees, are considered to beone of the most important topics in the area of industrial health. This study was conducted to compare job characteristics (job demand and decision latitude) levels, and psychosocial distress of workers in acompany introducing to new organizational work systems, to those of workers managed by traditional work systems. METHODS: A study sample of 627 shipbuilding workers (446the new work organizational system and 181the traditional system) were recruited for this study. A structured-questionnaire was used to assess general characteristics, job characteristics (work demand, decision latitude), and psychosocial distress. RESULTS: The decision latitude was not significantly higher in the new work system compared to the traditional system. However, the job demand was significantly higher in the new work system than in the traditional system. The psychosocial distress was higher within the new work system than the traditional system, but no significant relationships were found. The proportion of increased strain was significantly greater with the new system than the traditional system. CONCLUSION: These results suggest that increases in the decision latitude did not sufficiently compensate for higher job strain or increased work intensity. If the increase in the decision latitude was temporary, with the typical job demand remaining high, such work can be still be considered to have a job strain. Future research should consider psychosocial distress and fatigue as important problems caused by new work organizational systems, and should be performed to assess their impact through out industry.
Fatigue ; Mental Health ; Occupational Health

BACKGROUND: Recovery from fatigue is important in maintaining night workers' health. This study compared the course of self-reported recovery after 2-week 12-hour schedules consisting of either night shifts or swing shifts (i.e., 7 night shifts followed by 7 day shifts) to such schedules consisting of only day work. METHODS: Sixty-one male offshore employeesd-20 night workers, 16 swing shift workers, and 25 day workersdrated six questions on fatigue (sleep quality, feeling rested, physical and mental fatigue, and energy levels; scale 1-11) for 14 days after an offshore tour. After the two night-work schedules, differences on the 1st day (main effects) and differences during the follow-up (interaction effects) were compared to day work with generalized estimating equations analysis. RESULTS: After adjustment for confounders, significant main effects were found for sleep quality for night workers (1.41, 95% confidence interval 1.05-1.89) and swing shift workers (1.42, 95% confidence interval 1.03-1.94) when compared to day workers; their interaction terms were not statistically significant. For the remaining fatigue outcomes, no statistically significant main or interaction effects were found. CONCLUSION: After 2-week 12-hour night and swing shifts, only the course for sleep quality differed from that of day work. Sleep quality was poorer for night and swing shift workers on the 1st day off and remained poorer for the 14-day follow-up. This showed that while working at night had no effect on feeling rested, tiredness, and energy levels, it had a relatively long-lasting effect on sleep quality.
Appointments and Schedules* ; Fatigue ; Follow-Up Studies* ; Humans ; Male ; Mental Fatigue

Fatigue is an exhaustion state caused by prolonged physical work and mental work, which can reduce working efficiency and even cause industrial accidents. Fatigue is a complex concept involving both physiological and psychological factors. Fatigue can cause a decline of concentration and work performance and induce chronic diseases. Prolonged fatigue may endanger life safety. In most of the scenarios, physical and mental workloads co-lead operator into fatigue state. Thus, it is very important to study the interaction influence and its neural mechanisms between physical and mental fatigues. This paper introduces recent progresses on the interaction effects and discusses some research challenges and future development directions. It is believed that mutual influence between physical fatigue and mental fatigue may occur in the central nervous system. Revealing the basal ganglia function and dopamine release may be important to explore the neural mechanisms between physical fatigue and mental fatigue. Future effort is to optimize fatigue models, to evaluate parameters and to explore the neural mechanisms so as to provide scientific basis and theoretical guidance for complex task designs and fatigue monitoring.
Attention ; Brain ; physiology ; Fatigue ; Humans ; Mental Fatigue ; Workload

The circadian system represents a temporal order which is mediated by the mutual coupling of oscillators and by the synchronizing effects of zeitgebers. It is known that well-being of man depends partly on the maintenance of this order, and that repeated or long lasting disturbances to it such as shift work will cause harmful effects. This study was a quasi-experimental study to test the effect of shift directions for the clinical nurses on the circadian rhythm. Fourteen nurses working at the general units of Y hospital were selected according to the established criteria. Fourteen subjects were assigned to a weekly shift but the directions of shift work were phase delay first and then phase advance or vice versa. Oral temperature, total sleeping time, frequency of sleep-wake cycle, fatigue, mental performance, and physical symptom were measured during these days except holidays. The data collection period was from April 26, 1993 to July 3, 1993. MANOVA and Wilcoxon signed rank test were used for statistical analysis. The results are summarized as follows. 1. Having worked on evening and night shifts in either phase delay or phase advance schedules, temperature rhythms of shift workers were gradually adapted to the new sleep-wake cycles. A complete adaptation to work on the night shift was achieved the sixth day of the night shift in the phase delay schedule compared to the partial adaptation to the work on the night shift in the phase advance schedule. Accordingly, by putting evening shift between day and night shifts, it will be possible for circadian rhythm to adapt easily to the night shift. 2. There were differences in the total sleeping time, frequency of sleep-wake cycle, fatigue, and physical symptom except for mental performance between night shift and day, evening shift. This indicates further that shift workers working on the night shift have a hard time adapting to the shift work compared to the other shifts. 3. Evaluating all the acrophases of temperature rhythm either in phase delay or phase advance schedules, it was shown that night to evening shift in the phase advance schedule revealed the smallest phase move. Also phase advance schedule showed poorer adaptation to shift work than phase delay schedule in connection with total sleeping time, frequency of sleep-wake cycle, fatigue, mental performance, and physical symptom. It is suggested, taken together, these findings reflect that phase delay schedule facilitated the degree of adjustment to the shift work compared to the phase advance schedule.
Appointments and Schedules ; Circadian Rhythm* ; Data Collection ; Fatigue ; Holidays ; Mental Fatigue

In the present paper, the contribution of the largest principal component and the number of principal component needed for accumulative contribution 95% are selected as indices of electroencephalogram (EEG) in mental fatigue state in order to investigate the relationship between these parameters and mental fatigue. The experimental results showed that the contribution of the largest principal component of EEG signals increased in the prefrontal, frontal and central areas, while the number of principal component needed for accumulative contribution decreased by 95% with the increasing mental fatigue level. The parameters of singular system of EEG signals can be regarded as useful features for the estimation of mental fatigue and have larger application value in the study of mental fatigue.
Electroencephalography ; Humans ; Mental Fatigue ; Principal Component Analysis

BACKGROUNDS: Many Korean epidemiologic studies reported lower prevalence rates of depression than those of Western countries. For the low prevalence, it is explained that there's something wrong in the direct application of diagnostic criteria of depression to Korean culture, i.e. categorical fallacy, or it may be truly low-prevalent. We will analyze diagnostic criteria for depression defined by Western. METHODS: Six thousand and two hundred seventy-five community dwelling subjects, aged 18-64 years were interviewed by using Korean version of Composite International Diagnostic Interview (K-CIDI). Diagnostic criteria for depression defined by DSM-IV were analyzed using the item response theory. RESULTS: We could not find any fallacies of diagnostic criteria for depression defined by DSM-IV when assessing depre-ssion among Koreans. Fatigue, concentration difficulties, and sleep disturbance appeared more frequently in mild depression, while psychomotor change, death/suicide, and worthlessness/guilt did not appear until severe depression. CONCLUSION: The diagnostic criteria for depression defined by DSM-IV are appropriate for the Koreans. There are different responding levels, i.e. threshold, of depressive criteria according to severities of depression. Koreans with depression are more likely to complain of appetite change, but less of worthless or guilty feelings than Western people.
Appetite ; Depression* ; Diagnostic and Statistical Manual of Mental Disorders ; Fatigue ; Korea* ; Prevalence

Mental fatigue is an important factor of human health and safety. It is important to achieve dynamic mental fatigue detection by using electroencephalogram (EEG) signals for fatigue prevention and job performance improvement. We in our study induced subjects' mental fatigue with 30 h sleep deprivation (SD) in the experiment. We extracted EEG features, including relative power, power ratio, center of gravity frequency (CGF), and basic relative power ratio. Then we built mental fatigue prediction model by using regression analysis. And we conducted lead optimization for prediction model. Result showed that R2 of prediction model could reach to 0.932. After lead optimization, 4 leads were used to build prediction model, in which R' could reach to 0.811. It can meet the daily applicatioi accuracy of mental fatigue prediction.
Electroencephalography ; Humans ; Mental Fatigue ; Models, Biological ; Sleep Deprivation

With the wide application of virtual reality technology and the rapid popularization of virtual reality devices, the problem of brain fatigue caused by prolonged use has attracted wide attention. Sixteen healthy subjects were selected in this study. And electroencephalogram (EEG) signals were acquired synchronously while the subjects watch videos in similar types presented by traditional displayer and virtual reality separately. Two questionnaires were conducted by all subjects to evaluate the state of fatigue before and after the experiment. The mutual correlation method was selected to construct the mutual correlation brain network of EEG signals before and after watching videos in two modes. We also calculated the mutual correlation coefficient matrix and the mutual correlation binary matrix and compared the average of degree, clustering coefficient, path length, global efficiency and small world attribute during two experiments. The results showed that the subjects were easier to get fatigue by watching virtual reality video than watching video presented by traditional displayer in a certain period of time. By comparing the characteristic parameters of brain network before and after watching videos, it was found that the average degree value, the average clustering coefficient, the average global efficiency and the small world attribute decreases while the average path length value increased significantly. In addition, compared to traditional plane video, the characteristic parameters of brain network changed more greatly after watching the virtual reality video with a significant difference ( < 0.05). This study can provide theoretical basis and experimental reference for analyzing and evaluating brain fatigue induced by virtual reality visual experience.
Brain ; physiology ; Electroencephalography ; Healthy Volunteers ; Humans ; Mental Fatigue ; Virtual Reality