Objectives: This study aimed to examine the impact of work schedule and work position on fatigue levels among employees at a private geothermal firm in Indonesia during the COVID-19 pandemic. The company has modified its work schedule considering the COVID-19 epidemic to ensure a continuous supply of energy and meet the needs of the public. Methods: In this cross-sectional study, the dependent variable is fatigue, which is classified as a latent variable. Fatigue is assessed using the Indonesian version of the Swedish Occupational Fatigue Inventory (SOFI). Fatigue is a condition that has five dimensions: lack of energy, physical exertion, physical discomfort, sleepiness, and lack of motivation. The observed variables in this study include work schedule and work position, which serve as independent variables. Using structural equation modeling (SEM), we assessed the impact of the independent variables on each dimension of fatigue. This approach allowed for the analysis of both the measurement and structural models. Results: The investigation employed total sampling, involving 132 workers from the company who willingly participated in the study. According to the findings, workers' main fatigue dimension was lack of energy. However, the statistical analysis did not establish a significant influence of work schedule and work position on fatigue. Conclusion Based on the findings of the SEM analysis, it is evident that there is no statistically significant correlation between work schedules and job positions with various dimensions of fatigue assessed using the SOFI questionnaire. These dimensions include lack of energy, physical exertion, physical discomfort, sleepiness, and lack of motivation. While this outcome suggests that work schedules and job positions may not directly influence fatigue levels as measured in this study, it underscores the importance of implementing occupational health and safety management systems. Additionally, promoting good work practices such as offering flexible working hours may help address potential fatigue concerns among employees. However, further research is necessary to explore additional variables that could potentially impact fatigue levels in the context of the COVID-19 pandemic and beyond.
Work Schedule ; Personnel Staffing and Scheduling

Accidents, Occupational ; Humans ; Work Schedule Tolerance

Humans ; Neoplasms ; epidemiology ; etiology ; Work Schedule Tolerance

Cardiovascular disease is a class of diseases involving the heart or blood vessels, which accounts for about one-third of all deaths worldwide each year. Unhealthy diet, lack of physical activity, smoking and excessive alcohol consumption are all risk factors for cardiovascular disease. With the increasing number of night shift workers, the number of patients with cardiovascular disease has increased, and night shift work has gradually become a risk factor of cardiovascular disease. At present, the mechanism of cardiovascular disease caused by night shift work is still unclear. This review summarizes the relationship between night shift work and cardiovascular disease and its related biochemical indicators, and discusses the research on related mechanisms.
Humans ; Shift Work Schedule/adverse effects* ; Work Schedule Tolerance ; Cardiovascular Diseases ; Risk Factors ; Smoking

No abstract available.
Sleep ; Work Schedule Tolerance ; Metabolic Syndrome X ; Occupational Diseases ; Health Behavior ; Obesity ; Nutrition Surveys

PURPOSE: This study aimed to explore personal as well as occupational factors and health status associated with work-life balance in Korean registered nurses. METHODS: This study was a secondary data analysis using cross-sectional nationally representative data from the Korean Working Conditions Survey (KWCS) in 2014. Study participants included 450 registered nurses in South Korea. Descriptive analysis, Independent t-test, χ² test, and Logistic regression analyses were performed using the SPSS 21.0 statistical program. RESULTS: Work-life balance was reported in 70.6% individuals with 85.7% being male and 70.0% being female nurses. Logistic regression analysis revealed that being male good health state, having less than 40-hour working week, lower number of night duty, policy on flexible work arrangement were significant predictors of work-life balance. CONCLUSION: This study provided evidence that identify predictors of work-life balance in registered nurses in South Korea. Therefore, we need the actively support health care service promotion and prevention for work-life balance predictors.
Delivery of Health Care ; Female ; Humans ; Korea ; Logistic Models ; Male ; Nurses* ; Statistics as Topic ; Work Schedule Tolerance

Humans ; Mining ; Noise, Occupational ; statistics & numerical data ; Occupational Exposure ; statistics & numerical data ; Work Schedule Tolerance

Alcohol Drinking ; Female ; Humans ; Menopause ; Menstruation ; Middle Aged ; Shift Work Schedule ; Smoking

OBJECTIVETo investigate the relationship between work in shifts and occupational stress.

METHODSA total of 5338 employees from 13 companies were investigated by cluster sampling, and occupational stress measuring tools, job content questionnaire, and effort-reward imbalance questionnaire were used to investigate occupational stress factors, stress reaction, and the condition of work in shifts.

RESULTSThe employees who worked in shifts accounted for 46.6%. The condition of work in shifts varied significantly across different companies, employees with different individual features (including sex, job title, degree of education, age, working years, smoking, and drinking), and employees with different weekly working times(P<0.01 or P<0.05); health status was associated with work in shifts(P<0.01); compared with the employees who did not work in shifts, those who worked in shifts had significantly lower scores of technology utilization, work control level, psychological need, reward, social support, and job satisfaction(P<0.01 or P<0.05), as well as significantly higher scores of physical demands, effort, depressive symptoms, and negative affectivity(P<0.01).

CONCLUSIONWork in shifts can affect health status, and is associated with occupational stress.

Depression ; Health Status ; Humans ; Job Satisfaction ; Occupational Diseases ; epidemiology ; Smoking ; Social Support ; Stress, Psychological ; Surveys and Questionnaires ; Work Schedule Tolerance

OBJECTIVETo explore the situation of quality of life (QOL) of nurses working in night shifts and the major factors influencing the QOL, and to provide scientific basis of the further effective intervention for the quality of life.

METHODSThe nurses working in night shift were sampled randomly in Grade 3A-hospitals of Tianjin, and investigated using WHO Quality of Life-BREF Scale.

RESULTSThree hundred eighty five questionnaires were collected from 398 questionnaires. The average score of subjective QOL perception was 2.90 (the full score is 5), subjective health perception was 2.64 (the full score is 5). The score of physical domain of QOL was 13.21 +/- 2.18; psychological domain of QOL was 13.38 +/- 2.28; social domain of QOL was 14.71 +/- 2.32; environmental domain of QOL was 11.36 +/- 2.31, all of which were significantly lower than norm value (P<0.01). The results analyzed by ordinal logistic regression showed that the factors affecting physical domain of QOL were years of working experience, sleep time, gastrointestinal disorders, family harmony status and regular diet; the factors affecting psychological domain of QOL were family harmony status and gastrointestinal disorders; the factors affecting social domain of QOL were the nature of nursing work and family harmony status; the factors affecting environmental domain of QOL were job title, sleep time, gastrointestinal disorders and regular diet.

CONCLUSIONThe QOL of nurses working in night shifts is lower than that of general people. The corresponding measures should be taken to raise the quality of life of nurses in night shifts.

Adult ; Female ; Humans ; Male ; Middle Aged ; Nurses ; psychology ; Quality of Life ; Surveys and Questionnaires ; Work Schedule Tolerance ; Young Adult