1.Do work schedule and work position have an impact on fatigue among geothermal workers during the COVID-19 pandemic? An analysis using structural equation modeling
Caesar Nurhadiono Raharjo ; Suryo Wibowo ; Aria Kekalih ; Amilya Agustina ; Muhammad Ilyas
Acta Medica Philippina 2024;58(Early Access 2024):1-10
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
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Personnel Staffing and Scheduling
4.Research progress on the relation and related mechanism of night shift work and cardiovascular disease.
Shuang LIU ; Jing JIN ; Zhao Qiang JIANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(6):475-480
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
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Shift Work Schedule/adverse effects*
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Work Schedule Tolerance
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Cardiovascular Diseases
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Risk Factors
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Smoking
5.Factors Influencing Work-life Balance in Korean Registered Nurses.
Mi Sook JUNG ; Hyun Li KIM ; Yoonjeong LEE
Korean Journal of Occupational Health Nursing 2017;26(2):114-123
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
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Female
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Humans
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Korea
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Logistic Models
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Male
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Nurses*
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Statistics as Topic
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Work Schedule Tolerance
6.Shift Work and Health Problems.
Korean Journal of Family Medicine 2017;38(2):49-50
No abstract available.
Sleep
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Work Schedule Tolerance
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Metabolic Syndrome X
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Occupational Diseases
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Health Behavior
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Obesity
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Nutrition Surveys
9.Study on factors affecting the quality of life for nurses working in night shifts.
Qian-qian WANG ; Jian-hua WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2011;29(5):353-357
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
10.The Association between Shift Work and Bone Mineral Density : analysis of 2008-2009 Korean National Health and Nutrition Examination Survey.
Jong Ho WANG ; Goeun LEE ; Jun Taek SONG ; Jongho KWON ; Hyunrim CHOI ; Kyunghee JUNG-CHOI ; Sinye LIM
Korean Journal of Occupational and Environmental Medicine 2012;24(3):274-286
OBJECTIVES: The objectives of this study were to explore the association between shift work and the bone mineral density in a representative sample of Korean workers. METHODS: He data from the Fourth Korean National Health and Nutrition Examination Survey (2008-2009) was used. The participants were Korean workers aged 16 to 60 years. Logistic regression analysis was applied to determine the association between shift work and the bone mineral density after controlling for covariates using the SAS version 9.3 package program. RESULTS: The blood vitamin D level in shift workers was significantly lower than that of day workers in both males and females. In male shift workers, shift work was significantly associated with a decreased bone mineral density in the femoral neck (odds ratio(OR) 1.42, 95% confidence interval(CI)=1.05~1.92) and lumbar spine (OR 1.53, 95% CI=1.09~2.15) compared to day workers. After controlling for covariates, this association was still significant. In the case of female shift workers, shift work was significantly related to a decreased bone mineral density in the total femur (OR 2.84, 95% CI=1.69~4.79) and lumbar spine (OR 1.58, 95% CI=1.12~2.24). After controlling for covariates, this risk was not statistically significant. CONCLUSIONS: The blood vitamin D level of shift workers was significantly lower than that of day workers. In male shift workers, shift work can decrease the bone mineral density in the femoral neck and lumbar spine. Prospective studies with information on the shift work intensity and duration and exposuredata to explain mechanisms will be needed.
Aged
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Bone Density
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Female
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Femur
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Femur Neck
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Humans
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Logistic Models
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Male
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Nutrition Surveys
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Phenothiazines
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Spine
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Vitamin D
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Work Schedule Tolerance