Evidence map›Paper›PMID 40666746›Full record

ArticleActa medica Philippina2025

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

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Article in Acta medica Philippina, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Caesar Nurhadiono RaharjoPostgraduate Program of Occupational Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Suryo WibowoDepartment of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Aria KekalihDepartment of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Amilya AgustinaDepartment of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Muhammad IlyasDepartment of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

dimensions of fatigueSwedish occupational fatigue inventory (SOFI)work positionswork schedules

Identifiers

PMID40666746
PMCPMC12257564

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