Do Sleep Quality Can Be the Intervening Factors of Personality Data to Occupational Fatigue?

Doddy Izhar, David Kusmawan, Budi Aswin
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Abstract

Fatigue during work among oil and gas employees can have dangerous effects on wellbeing, economics, safety, and health. This cross-sectional survey was conducted in July and August of 2022 at two national oil and gas companies located in Muara Jambi and Jambi City. A convenience sample of 116 respondents was selected in total. To address the study hypotheses, partial least square-structural equation modeling (PLS-SEM) was employed. This study aims to determine the relationship between the risk of job weariness among Indonesian oil and gas workers in Jambi Province and the direct and indirect impacts of mental workload, sociodemographic characteristics, and sleep quality. Personality data has a significant and negative direct impact on occupational weariness at alpha 5% and with a path value of -0.203 (p-value: 0.047), corroborating the earlier hypothesis. For the second hypothesis, the path coefficient value of 0.462 (p-value: 0.000) clearly shows that sleep quality has an impact on occupational weariness. In order to improve sleep hygiene and address personality factors like age and length of employment, fatigue risk management strategies can be combined with those that are currently being used to control job tiredness.
睡眠质量能否成为人格数据对职业疲劳的干预因素?
石油和天然气公司员工工作期间的疲劳会对福利、经济、安全和健康造成危险影响。这项横断面调查于 2022 年 7 月和 8 月在位于占碑省和占碑市的两家国家石油天然气公司进行。共选取了 116 名受访者作为方便抽样。为解决研究假设,采用了偏最小二乘法-结构方程模型(PLS-SEM)。本研究旨在确定占碑省印尼石油和天然气工人的工作倦怠风险与脑力劳动负荷、社会人口特征和睡眠质量的直接和间接影响之间的关系。人格数据对职业倦怠有显著的负直接影响,影响程度为α5%,路径系数为-0.203(P 值:0.047),证实了前面的假设。对于第二个假设,路径系数值为 0.462(p 值:0.000),清楚地表明睡眠质量对职业倦怠有影响。为了改善睡眠卫生并解决年龄和工作年限等个性因素,疲劳风险管理策略可以与目前用于控制工作疲劳的策略相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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