在COVID-19大流行期间,工作时间表和工作位置对地热工人的疲劳有影响吗?用结构方程模型进行分析。

Q4 Medicine
Acta Medica Philippina Pub Date : 2025-06-13 eCollection Date: 2025-01-01 DOI:10.47895/amp.vi0.6823
Caesar Nurhadiono Raharjo, Suryo Wibowo, Aria Kekalih, Amilya Agustina, Muhammad Ilyas
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引用次数: 0

摘要

目的:本研究旨在研究2019冠状病毒病大流行期间印度尼西亚一家私营地热公司员工的工作时间表和工作职位对疲劳程度的影响。考虑到新冠肺炎疫情,公司调整了工作日程,以确保能源的持续供应,满足公众的需求。方法:在横断面研究中,因变量为疲劳,并将其归类为潜在变量。使用印度尼西亚版的瑞典职业疲劳量表(SOFI)来评估疲劳。疲劳是一种有五个维度的状态:缺乏能量、体力消耗、身体不适、困倦和缺乏动力。本研究观察的变量包括工作时间和工作岗位,这两个变量作为自变量。利用结构方程模型(SEM),我们评估了自变量对疲劳各维度的影响。这种方法允许对测量模型和结构模型进行分析。结果:本次调查采用全抽样法,共涉及该公司132名自愿参与研究的员工。研究发现,工人的主要疲劳维度为精力不足。然而,统计分析并没有建立工作时间表和工作位置对疲劳的显著影响。结论:基于扫描电镜分析的结果,使用SOFI问卷评估疲劳的各个维度,工作时间表和工作岗位之间显然没有统计学上的显著相关性。这些维度包括缺乏能量、体力消耗、身体不适、嗜睡和缺乏动力。虽然这一结果表明工作时间表和工作岗位可能不会直接影响本研究中测量的疲劳水平,但它强调了实施职业健康和安全管理体系的重要性。此外,促进良好的工作实践,如提供灵活的工作时间,可能有助于解决员工潜在的疲劳问题。然而,有必要进行进一步的研究,以探索在COVID-19大流行及其他背景下可能影响疲劳程度的其他变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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.

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来源期刊
Acta Medica Philippina
Acta Medica Philippina Medicine-Medicine (all)
CiteScore
0.40
自引率
0.00%
发文量
199
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