Analysis of Subjective Fatigue Among Urban Transportation Drivers in Tataaran, North Sulawesi, Indonesia
Abstract
This study examines subjective fatigue among urban transportation drivers in Tataaran, Minahasa Regency, North Sulawesi where the occupation exposes individuals to stressors that can induce fatigue. The research aims to analyze the levels of subjective fatigue and identify contributing factors. A cross-sectional study was conducted from August to November 2024, involving 43 drivers. Data was collected using a structured questionnaire, including the Fatigue Severity Scale (FSS), to assess socio-demographic, work-related, and vehicle-related factors. The results indicate that increased age, daily work duration, irregular working hours, heavy driving workload, and uncomfortable vehicle ergonomics are significantly associated with higher subjective fatigue levels (p<0.05). Conversely, greater driving experience is significantly associated with lower subjective fatigue (p<0.05), while rest patterns and deposit targets showed no significant relationship with fatigue. In conclusion, urban transportation drivers in Tataaran experience significant subjective fatigue, influenced by a combination of occupational and individual factors.
References
BPS. (2023). Rata-rata Jam Kerja Masyarakat Indonesia 2023. https://www.bps.go.id/
Che Hasan, N. A., Karuppiah, K., Hamzah, N. A., Juzad, K., & Tamrin, S. (2022). Prevalence Of Driving Fatigue And Its Associated Factors Among Logistic Truck Drivers In Malaysia. Malaysian Journal of Public Health Medicine, 22, 331–341. https://doi.org/10.37268/mjphm/vol.22/no.3/art.1745
Cunningham, T. R., Guerin, R. J., Ferguson, J., & Cavallari, J. (2022). Work-related fatigue: A hazard for workers experiencing disproportionate occupational risks. American Journal of Industrial Medicine, 65(11), 913–925. https://doi.org/10.1002/ajim.23325
Kluger, B. M., Krupp, L. B., & Enoka, R. M. (2013). Fatigue and fatigability in neurologic illnesses. Neurology, 80(4), 409–416. https://doi.org/10.1212/WNL.0b013e31827f07be
Lin, F. V. (2023). A Multi-Dimensional Model of Fatigue in Old Age: Implications for Brain Aging. In The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry (Vol. 31, Issue 2, pp. 152–161). https://doi.org/10.1016/j.jagp.2022.10.007
Locke, E., & Latham, G. (1991). A Theory of Goal Setting & Task Performance. The Academy of Management Review, 16. https://doi.org/10.2307/258875
Phillips, R. O. (2014). What is fatigue and how does it affect the safety performance of human transport operators? (Issue October 2014). https://www.toi.no/getfile.php?mmfileid=38953
Physiopedia. (2022). Fatigue Severity Scale. https://www.physio-pedia.com/index.php?title=Fatigue_Severity_Scale&oldid=299432
Rolison, J. J., Regev, S., Moutari, S., & Feeney, A. (2018). What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records. Accident Analysis and Prevention, 115(August 2017), 11–24. https://doi.org/10.1016/j.aap.2018.02.025
Tucker, P. (2023). The impact of rest breaks upon accident risk, fatigue and performance: A review. Work and Stress - WORK STRESS, 17, 123–137. https://doi.org/10.1080/0267837031000155949
Wingelaar-Jagt, Y. Q., Wingelaar, T. T., Riedel, W. J., & Ramaekers, J. G. (2021). Fatigue in Aviation: Safety Risks, Preventive Strategies and Pharmacological Interventions. Frontiers in Physiology, 12, 712628. https://doi.org/10.3389/fphys.2021.712628
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