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

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

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

INTRODUCTION: As the traditional overnight call system was shown to contribute to fatigue, Singapore implemented a shift system in 2014. We aimed to compare activity levels, sleep (using a wrist actigraph), fatigue and professional quality of life between residents working on night float and those on overnight calls. METHODS: All Postgraduate Year 1 (PGY1) residents at our institution were invited to participate. Participants were required to wear a wrist actigraph for four months and complete two validated surveys (Epworth Sleepiness Scale [ESS] and Professional Quality of Life [ProQOL] scale) once each at the start and end of the study. RESULTS: 49 residents were recruited. Night float and on-call residents showed a comparable median (range) number of steps (10,061 [1,195-15,923] vs. 10,649 [308-21,910]; p = 0.429), amount of sleep logged (361 [149-630] minutes vs. 380 [175-484] minutes; p = 0.369) and time taken to fall asleep (6 [0-14] minutes vs. 6 [range 0-45] minutes; p = 0.726), respectively. Night float residents had less efficient sleep, with 90.5% having sleep efficiency of over 85% compared to 100% of on-call residents (p = 0.127). More night float residents reported ESS scores > 10 (73.1% vs. 38.5%) and higher burnout scores on ProQOL scale (41.4% vs. 21.4%) at the start of the study. However, this was similar to the end of the study and not statistically significant. CONCLUSION Physical activity and amount of sleep were not significantly different between night float and on-call residents. Residents on night float reported comparatively more fatigue and burnout.
Adult ; Burnout, Professional ; Exercise ; Fatigue ; Female ; Humans ; Internship and Residency ; Male ; Physicians ; Prospective Studies ; Quality of Life ; Singapore ; Sleep ; Surveys and Questionnaires ; Work Schedule Tolerance ; Workload

BACKGROUND: Few studies have examined the association of workhours and shift work (referred to here as "time-related work factors") with dietary behaviors. We aimed to investigate this association, as well as the dietary behaviors among individuals with occupations characterized by time-related work factors. METHODS: A cross-sectional study was performed using data from the Japan Environment and Children's Study. The study included 39,315 working men. Dietary behaviors (i.e., skipping breakfast, eating out, eating instant food, overeating, and eating fast) were assessed with a self-reported information from the Food Frequency Questionnaire. Logistic regression analysis was conducted to examine the associations of time-related work factors with dietary behaviors and dietary behavior tendencies among those in occupations characterized by long workhours and/or shift work. RESULTS: Long workhours were associated with high frequencies of skipping breakfast, eating out, eating instant food, overeating, and eating fast. The frequency of having shift work was associated with high frequencies of skipping breakfast, eating out, and eating instant food. Several occupations involving long workhours and/or shift work showed specific dietary behaviors; in some occupations, the level of significance changed after adjusting for time-related work factors in addition to other potential confounding factors. CONCLUSIONS Time-related work factors may help explain workers' dietary behaviors. Long workhours and shift work may lead to poor dietary behaviors. Other factors influenced by occupation itself, such as food environment, may also influence workers' dietary behaviors. Workhours and/or shift work, and these other work factors, should be given attention in workplace health promotion.
Adult ; Cross-Sectional Studies ; Eating ; Feeding Behavior ; Humans ; Japan ; Life Style ; Male ; Occupations ; classification ; Shift Work Schedule

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

BACKGROUND: Shift workers are increasing worldwide, and various negative health effects of shift work have been reported. This study aimed to evaluate the relationship between shift work and health behavior. METHODS: This cross-sectional study included a total of 11,680 Korean adults (6,061 men and 5,619 women) aged ≥20 years old who participated in the Fifth Korean National Health and Nutrition Examination Survey, 2010–2012. Multiple logistic regression analysis was performed to evaluate the association between shift work and health behavior after adjusting for covariates. RESULTS: In men, shift work was associated with an increased risk of inadequate sleep (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.00 to 1.40) compared to day work. In women, shift work was associated with an increased risk of smoking (OR, 1.73; 95% CI, 1.34 to 2.22) and inadequate sleep (OR, 1.24; 95% CI, 1.05 to 1.47) compared to day work. In an age-stratified subgroup analysis, female shift workers aged ≥50 years old demonstrated an increased risk of smoking (OR, 5.55; 95% CI, 3.60 to 8.55), alcohol consumption (OR, 2.22; 95% CI, 1.53 to 3.23), and inadequate sleep (OR, 1.50; 95% CI, 1.10 to 2.05) compared to female day workers. CONCLUSION: Shift work is associated with worse health behavior, and this is most evident in women aged ≥50 years. Targeted strategies to reduce the negative health effects of shift work should be implemented, with consideration of shift workers' demographic characteristics.
Adult ; Alcohol Drinking ; Alcoholism ; Cross-Sectional Studies ; Female ; Health Behavior* ; Humans ; Logistic Models ; Male ; Nutrition Surveys* ; Sleep Wake Disorders ; Smoke ; Smoking ; Work Schedule Tolerance

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

PURPOSE: The purpose of this study was to identify the factors affecting shiftwork tolerance among nurses and provide basic data, ultimately, in formulating a plan for improving their shiftwork tolerance. METHODS: The participants were 317 nurses who were working at three general hospitals in Daejeon and Seoul. Data analyzed t-test, ANOVA, correlation analysis, and regression analysis using SPSS 20.0 program. RESULTS: As for the sub-areas of shiftwork tolerance for the respondents, more than a half of nurses working at shifts suffered from insomnia, felt drowsy, complained of chronic fatigue, and were at the anxious and depressed state. Shiftwork tolerance differed by the daily intake of coffee and exercise. Shiftwork tolerance was significantly positively correlated with sleep-wake habits, hardiness, and flexibility and negatively correlated with a languidity. Regression analysis revealed that shiftwork tolerance was affected by age, sleep-wake habits, languidity, flexibility, and hardiness. CONCLUSION: To put the results, nurses had shiftwork tolerance affected by sleep-wake habits, languidity, and hardiness. It is therefore necessary to make a scheme for allowing nurses to improve hardiness and flexibility and decrease the languidity with the objective of improving their shiftwork tolerance.
Circadian Rhythm ; Coffee ; Fatigue ; Hospitals, General ; Pliability ; Seoul ; Sleep Initiation and Maintenance Disorders ; Sleep Wake Disorders ; Surveys and Questionnaires ; Work Schedule Tolerance

Adult ; Age Factors ; Burnout, Professional ; epidemiology ; Female ; Health Status ; Humans ; Male ; Marital Status ; Mental Health ; Occupational Health ; Orthopedic Surgeons ; statistics & numerical data ; Pain ; epidemiology ; Personnel Staffing and Scheduling ; Sex Factors ; Singapore ; epidemiology ; Social Behavior ; Stress, Psychological ; epidemiology ; Surveys and Questionnaires ; Work Schedule Tolerance