• Korean Journal of Occupational Health Nursing
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• v.24 no.4
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• pp.372-380
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• 2015

Purpose: The purpose of this study was to seek ways to improve the quality of life of workers by separating workers into the low fatigue group and the severe fatigue group depending on the level of fatigue level, and analyzing and understanding the difference between quality of life and job stress according to the fatigue level. Methods: For the 'Development of Mibyeong management system which was a consumer-directed health care service', the data of job stress, fatigue and quality of life was collected from 115 workers who visited the oriental hospitals located in J city and C city from Jul, 2012 to Dec, 2012. Results: The severe fatigue group showed significantly higher job stress than the low fatigue group in physical environment (p=.004), job demand (p<.001), interpersonal conflict (p=.012), lack of reward (p=.062). The severe fatigue group showed lower degrees both in physical component summary (PCS) (p<.001) and mental component summary (MCS) (p<.001) measured by SF-12 and the quality of life (p<.001) measured by EQ5D than the lower fatigue group. A relatively strong negative correlation was found in the item of mental component summary (MCS) measured by SF-12. Conclusion: Considering our results that high fatigue level show negative impact on quality of life and job stress, we suggest to provide a variety of health promotion strategies to improve the quality of life through the prevention and relief of fatigue for workers.

• Safety and Health at Work
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• v.5 no.4
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• pp.216-221
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• 2014

Background: Mental health complaints are quite common in health care employees and can have adverse effects on work functioning. The aim of this study was to evaluate an e-mental health (EMH) approach to workers' health surveillance (WHS) for nurses and allied health professionals. Using the waiting-list group of a previous randomized controlled trial with high dropout and low compliance to the intervention, we studied the pre- and posteffects of the EMH approach in a larger group of participants. Methods: We applied a pretest-posttest study design. The WHS consisted of online screening on impaired work functioning and mental health followed by online automatically generated personalized feedback, online tailored advice, and access to self-help EMH interventions. The effects on work functioning, stress, and work-related fatigue after 3 months were analyzed using paired t tests and effect sizes. Results: One hundred and twenty-eight nurses and allied health professionals participated at pretest as well as posttest. Significant improvements were found on work functioning (p = 0.01) and work-related fatigue (p < 0.01). Work functioning had relevantly improved in 30% of participants. A small meaningful effect on stress was found (Cohen d = .23) in the participants who had logged onto an EMH intervention (20%, n = 26). Conclusion: The EMH approach to WHS improves the work functioning and mental health of nurses and allied health professionals. However, because we found small effects and participation in the offered EMH interventions was low, there is ample room for improvement.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.2
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• pp.160-166
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• 2016

Crew fatigue has been recognized as a major cause of maritime accidents. Systematic study on crew fatigue has a direct impact on the human factor, but the various measures being taken to prevent human error account for most of the causes of marine accidents situation are still insufficient. In this study, 128 people who have a variety of career and job types boarded the T/S Hanbada were analyzed the changes of fatigue during the 87-days a Maritime Silk Road Sailing Expedition. Crew fatigue was measured by period of time onboard classified as mental, physiological and physical changes through survey responses and individual interviews of nurses. Also, it was identified the fatigue factor through quantitative statistical analysis. As a result of repeated measures analysis of variance for the changes of fatigue in position and gender criteria in accordance with boarded period, the position-specific analysis was that Professor Rating group has appeared to feel more mental and physical fatigue than the student population. Also, the results of fatigability about the sex-specific analysis have been found that women feel more physical fatigue than men.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.113-125
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• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.89-96
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• 2017

This study analyzed how mental health affects stress in adolescents. The subjects of the study were data of about 60,000 middle and high school students living in the country, using cross-tabulation data and chi - square test to analyze the relationship between stress and mental health of adolescents. As a result of the research, it was found that the adolescents exposed to the excessive stress showed a poor correlation with the recovery of the fatigue, while the adolescents with relatively low stress showed the good recovery of fatigue. In the case of mental illness, depression or despair, the students who answered that they were stressed showed a lot of experience. In the case of suicide ideation, suicide attempt, and suicide attempt, the number of attempts to commit suicide was high when the level of perceived stress was high similar to the result of previous analysis. This finding confirms that stress is an important factor in the quality of life in adolescent mental health. It can be used as a strategy and business to prevent the problem of youth suicide in modern society in advance by stress management.

• Korean Journal of Occupational Health Nursing
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• v.23 no.3
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• pp.171-179
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• 2014

Purpose: The purpose of this research was to provide baseline data by utilizing solutions to health problems caused by work-related stress and to examine a way of treatment by comparing and analyzing how the stresses link to fatigue and quality of researchers' life. Methods: A survey was conducted with 50 researchers working for in H research institute in Daejeon Metropolitan City from April 10th to May 10th, 2012 to examine the correlation of work stress, fatigue and quality of life. The data were analyzed using the Kruskal-Wallis test to look into examine the difference in work stress, fatigue, and quality of life. Also, the correlation of work stress, fatigue and quality of life was measured through by the Pearson correlation coefficient. The data collected through the questionnaires was were analyzed by SPSS 21.0 based on the significant level with a p-value, 0.05. Results: The results showed that fatigue was caused by work stresses in researchers and quality of life was ranked in a relatively low level. Correlation of work stresses, quality of life and fatigue and work stresses against mental health index was negative and fatigue against physical index was also negative. Conclusion: It is necessary to maintain more detailed provisions in order to improve mental health and stress level of researchers. Moreover, systematic, in-depth evaluation should be done to reduce researcher's work-related stress and fatigue. In addition, stress management and prevention program should be implemented for these researchers.

• Journal of Korean Academy of Nursing
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• v.9 no.2
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• pp.27-38
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• 1979

This study was undertaken to determine the subjective symptoms of fatigue among the house-wives groups. Inquiries into subjective symptoms of fatigue were made by the form designied by the Industrial Fatigue Research Committee of the Japan Society of Industrial Health (1961), Comprising 30 items. These items are classified into 3 groups of 10 items, namely, A) Physical Symptoms, B) Mental Symptoms, C) Neuro-Sensory Symptoms (Figure 1 ). The results of the investigation can be summerized as follows: 1. Within the total items (T), the physical symptoms (A) were the strongest in the effect on the feelings of fatigue, and were followed by (B), and (C). 2. There was a significant difference shown in the distribution of responses by height (X$^2$=236.29, d.f. = 145, p < 0.00001). In the mental category (F = 2.22, d.f. = 4, p = 0.05) and neuro-sensory category (F = 2.64, d.f. = 4, p < 0.001), there was a difference in the responses’com-plaints by weight. 3. As for the ages, housewives at the age of 50 presented a higher rate than those 30 or 20. 4. Regarding the number of children, respondents have more children showed higher frequency rate of complaints. 5. In the investigation sample, complaints were related to education level (f = 18.34, d.f. = 3, p<0.0001) pentruation (t = 2.31, p< 0.022), and sleeping hours (F = 6.04, d.f. = 6, p< 0.0001).

• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.9.1-9.10
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• 2023

Background: Studies conducted so far on the link between commute time and mental health among Koreans remain insufficient. In this study, we attempted to identify the relationship between commute time and subjective mental health using the 6^th Korean Working Conditions Survey (KWCS). Methods: Self-reported commute time was divided into four groups: ≤ 30 (group 1), 30-60 (group 2), 60-120 (group 3), and > 120 minutes (group 4). Subjective depression was defined as a score of 50 points or less on the WHO-5 well-being index. Subjective anxiety and fatigue were defined as answering 'yes' to the questionnaire on whether they had experienced it over the past year. The analysis of variance, t-test, and χ² test was used to analyze the differences among the characteristics of the study participants according to commute time, depression, anxiety, and fatigue. Odds ratios (ORs) and 95% confidence intervals (CIs) for depression, anxiety, and fatigue according to commute time were calculated using multivariate logistic regression models adjusted for sex, age, monthly income, occupation, company size, weekly working hours, and shift work status. Results: Long commute times showed increased ORs and graded increasing trends for depression, anxiety, and fatigue. The ORs for depression increased significantly in group 2 (1.06 [1.01-1.11]), group 3 (1.23 [1.13-1.33]), and group 4 (1.31 [1.09-1.57]) compared to group 1 (reference). The ORs for anxiety increased significantly in group 2 (1.17 [1.06-1.29]), group 3 (1.43 [1.23-1.65]) and group 4 (1.89 [1.42-2.53]). The ORs for fatigue increased significantly in group 2 (1.09 [1.04-1.15]), group 3 (1.32 [1.21-1.43]), and group 4 (1.51 [1.25-1.82]). Conclusions: This study highlights that the risk of depression, anxiety, and fatigue increases with commute time.

• Journal of Physiology & Pathology in Korean Medicine
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• v.34 no.1
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• pp.37-44
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• 2020

Previous studies have reported an association between poor sleep and various symptoms and diseases, such as fatigue, obesity, depression, and anxiety. The effects of poor sleep may differ by age and sex. In addition, sleep characteristics and their effects may vary according to Sasang constitutional type. The aim of this study was to investigate the associations between sleep quality, fatigue, and quality of life and to assess whether these differ by constitutional type. Participants were individuals aged 40-69 years living in two Korean communities in 2012-2014. Sleep quality, fatigue, and quality of life were measured using the Pittsburgh Sleep Quality Index (PSQI), the Fatigue Severity Scale, and the 12-item Short Form Health Survey, respectively. The effects of total PSQI score and PSQI component scores were analyzed using a generalized additive model. A Korean Sasang constitutional diagnostic questionnaire was used to assess Sasang constitution. Data for 5,793 participants were analyzed. Poor sleep quality was related to greater fatigue, and lower physical and mental quality of life. The PSQI components including subjective sleep quality, sleep latency, sleep disturbances, use of sleep medications, and daytime dysfunction were associated with fatigue and physical and mental quality of life. Sleep quality was significantly lower in So-Eum compared to So-Yang and Tae-Eum. PSQI component scores for fatigue and quality of life differed significantly by Sasang constitution: for Tae-Eum, sleep latency and use of sleep medications; for So-Eum, daytime dysfunction; and for So-Yang, use of sleep medications and daytime dysfunction. The effects of different aspects of sleep quality differ by Sasang constitution. To improve sleep quality, interventions need to be tailored to constitutional type.

• Korean Journal of Occupational Health Nursing
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• v.9 no.2
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• pp.86-93
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• 2000

This study was conducted to find out the degree of tiredness, accumulated tendencies of fatigues in accordance with 3 types of circadian rhythms and 3 types of perceived fatigue signs such as physical, psychological and neurosensory aspects in before and after work at night. Samples were chosen from the 217 intensive care units nurses working in 13 general hospitals which had 3 shift rotating systems, Data were collected from November to December in 1999. Two hundreds seventeen respondents were classified by 3 circadian types such as 59 morning, 110 middle and 48 evening. Circadian type was measured by the circadian type scale which was designed by ${\ddot{O}}stberg$ and Home (1976). in order to estimate the level of tiredness, the investigator used the fatigue checklist designed by the Labor and Health Institute of Japan(1970). Analysis was done by frequency a percentages, ${\chi}^2$ test and repeated measures ANOVA test. The result of this study were as follow: 1. In the general characteristics of the subjects circadian types, moderate type had the large proportion at 50.7% and morning type had 27.2% and evening type had 22.1%. 2. According to the 3 types of fatigue signs, the highest general tendency was 'General weakness' and 'Feeling of headsore' for physically perceived sign, 'Drowsiness' for psychological sign, and 'Uncomfortableness in sight seeing' for neurosensory sign. 3. The most frequently complained fatigue were observed in physical symptoms among physical, mental, and neurosensual symptoms. The percentage of complained was higher after night work than before the work started. 4. There was not any statistical significant difference between the circadian type and the degree of physical, mental, neurosensory fatigue. 5. There was not any statistical significant difference in regarding to each date of night shift except difference between 1st and 2nd days of fatigue perceived physically. Therefore, the study concluded that the fatigue perceived by night shift nurses might be related with shift working condition rather than circadian types.