Fatigue on Oil Refinery Workers and Related Factors

Iwan Muhamad Ramdan; Krishna Purnawan Candra; Ulfah  Rana Mahdiyyah

doi:10.3889/oamjms.2021.6879

Authors

Iwan Muhamad Ramdan Department of Public Health, Mulawarman University, Samarinda, Indonesia https://orcid.org/0000-0003-1490-3182
Krishna Purnawan Candra Department Agricultural Product Technology, Faculty of Agriculture, Mulawarman University, Samarinda, Indonesia https://orcid.org/0000-0003-1358-1329
Ulfah Rana Mahdiyyah Department of Public Health, Mulawarman University, Samarinda, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2021.6879

Keywords:

Work-related fatigue, Demographic factors, Health status, Noise, Work climate, Oil refinery workers

Abstract

Background: Work fatigue plays a large role in all industries in terms of performance, work safety, and work productivity. Oil and gas is an industry with a high level of occupational safety and health risks. Research of work-related fatigue is needed to detect critical risk factors early in order to prevent the adverse effect of work-related fatigue.

Objectives: This study aims to analyze the prevalence of work fatigue in oil refinery workers at one of the oil refinery companies in Indonesia, and analyze the factors that influence it.

Design and Methods: A cross-sectional study was conducted on 224 oil refinery workers. Questionnaire and work-related fatigue scales were used to assess demographic characteristics and work-related fatigue. A medical examination was applied to assess the health status of workers based on blood pressure, body temperature, and respiratory rate. The sound level meter and heat stress meter was used to measure noise and work climate. Cramer’s V correlation was applied to identify correlations between work-related fatigue and other parameters.

Results: Work-related fatigue of 100% was found among workers, with categorized as low, medium, high, and very high in 9.38, 53.57, 30.35, and 6.7% of the workers, respectively. Work-related fatigue was significantly correlated with working period (p=0.028), health status (respiratory rate) (p=0.018), noise exposure (p=0.000) and work climate/heat stress (p=0.001).

Conclusion: The companies should improve the health status of workers, reduce workload for aging workers, control noise, and control heat exposure in the workplace.

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