Assessment of the Relationship between Job Demand, Work Stress and Fatigue among Railway Workers in Warri-Itakpe Train Service, Nigeria
Authors
Sports University of Nigeria, Idumuje Ugboko, Delta State (Nigeria)
Federal University of Petroleum Resources, P.M.B. 1221, Effurun, Delta State (Nigeria)
Teesside University, Middlesbrough, United Kingdom (Nigeria)
Manchester Global Foundation, London, United Kingdom (Nigeria)
Sports University of Nigeria, Idumuje Ugboko, Delta State (Nigeria)
Department of Cartography and GIS, Federal School of Surveying, Oyo (Nigeria)
Article Information
DOI: 10.51584/IJRIAS.2026.11050052
Subject Category: Relationships
Volume/Issue: 11/5 | Page No: 599-609
Publication Timeline
Submitted: 2026-05-01
Accepted: 2026-05-06
Published: 2026-05-27
Abstract
Occupational fatigue in the railway industry is a multidimensional problem deeply embedded in the psychosocial architecture of the working environment. Among the psychosocial risk factors most consistently linked to fatigue, job demand and work stress occupy a central position. In the Nigerian context, the rapid expansion of rail infrastructure typified by the inauguration of the Warri-Itakpe Train Service (WITS) in 2020 has introduced a burgeoning workforce into an operationally demanding environment where the management of psychosocial risks remains nascent. Railway workers face heavy and irregular workloads, shift schedules, vigilance-intensive tasks, and limited job control, all of which collectively elevate the risk of occupational fatigue and its attendant consequences for productivity and rail safety. This study investigated the relationship between job demand, work stress, and occupational fatigue among railway workers in the Warri-Itakpe Train Service of the Nigerian Railway Corporation (NRC), while contextualising these associations within the broader spectrum of psychosocial health risk factors. A quantitative, cross-sectional survey design was employed. Using Slovin's formula at a 5% margin of error, a sample of 305 railway workers was recruited from 12 stations within the Warri-Itakpe Train Service using multi-stage sampling. Data were collected with the Smith Wellbeing Survey (SWELL), a validated 27-item instrument grounded in the Wellbeing Process Questionnaire (WPQ). The Demands, Resources, and Individual Effects (DRIVE) model guided conceptual framing. Statistical analyses included weighted averages, relative risk (RR), absolute risk (AR), Pearson's correlation, Chi-square tests, and logistic regression, all executed in SPSS Version 25.0. Job demand and work stress were the two strongest psychosocial predictors of occupational fatigue across the entire study population. Job demand recorded the highest relative risk of all 15 health risk factors assessed (RR = 7.71; AR = 89%; r = 0.81, p < 0.01; R² = 0.66), while work stress followed closely (RR = 5.22; AR = 84%; r = 0.73, p < 0.01; R² = 0.53). Chi-square analysis confirmed statistically significant associations for job demand (χ² = 29.754, p < 0.001) and work stress (χ² = 12.985, p < 0.001) with occupational fatigue. Stratified analysis by job type revealed that engineers bore the highest job demand risk (RR = 24.00; AR = 96%) while train drivers recorded the most severe work stress risk (RR = 12.00; AR = 92%). Job demand and work stress are predominant psychosocial determinants of occupational fatigue among Nigerian railway workers. The findings underscore an urgent need for the Nigerian Railway Corporation to restructure workloads, enforce fatigue-risk management policies, expand staffing, and institutionalise psychosocial support mechanisms. Failure to address these factors threatens both worker well-being and the operational safety of Nigeria's growing rail network.
Keywords
Job demand, work stress, occupational fatigue, railway workers
Downloads
References
1. Åkerstedt, T. (1991). Sleepiness at work: Effects of irregular work hours. In T. H. Monk (Ed.), Sleep, sleepiness and performance (pp. 129–152). John Wiley & Sons. [Google Scholar] [Crossref]
2. Amin, M. E. (2005). Social science research: Conception, methodology and analysis. Makerere University Printery. [Google Scholar] [Crossref]
3. Awaad, M. I., Ibrahim, M. A., & Amin, M. A. (2022). Presenteeism and its relation to job demands among train drivers. Journal of Occupational Health, 64(1), e12311. https://doi.org/10.1002/1348-9585.12311 [Google Scholar] [Crossref]
4. Beauregard, T. A., & Henry, L. C. (2009). Making the link between work-life balance practices and organizational performance. Human Resource Management Review, 19(1), 9–22. https://doi.org/10.1016/j.hrmr.2008.09.001 [Google Scholar] [Crossref]
5. British Rail Safety and Standards Board. (2005). Fatigue and its contribution to accidents and incidents. RSSB. [Google Scholar] [Crossref]
6. Cameron, C. (1973). A theory of fatigue. Ergonomics, 16(5), 633–648. https://doi.org/10.1080/00140137308924554 [Google Scholar] [Crossref]
7. Chau, N., Bhattacherjee, A., & Kunar, B. M. (2008). Relationship between job, lifestyle, age and occupational injuries. Occupational Medicine, 59(2), 114–119. https://doi.org/10.1093/occmed/kqn174 [Google Scholar] [Crossref]
8. Costa, P. T., & McCrae, R. R. (1980). Influence of extraversion and neuroticism on subjective well-being: Happy and unhappy people. Journal of Personality and Social Psychology, 38(4), 668–678. https://doi.org/10.1037/0022-3514.38.4.668 [Google Scholar] [Crossref]
9. Cotrim, T., Carvalhais, J., Neto, C., Teles, J., Noriega, P., & Rebelo, F. (2017). Determinants of fatigue in Portuguese railway workers. Work, 57(1), 49–57. https://doi.org/10.3233/WOR-172540 [Google Scholar] [Crossref]
10. Cox, T., & Ferguson, E. (1991). Individual differences, stress and coping. In C. L. Cooper & R. Payne (Eds.), Personality and stress: Individual differences in the stress process (pp. 7–30). John Wiley & Sons. [Google Scholar] [Crossref]
11. Craig, A., & Cooper, R. E. (1992). Symptoms of acute and chronic fatigue. In A. P. Smith & D. M. Jones (Eds.), Handbook of human performance (Vol. 3, pp. 289–339). Academic Press. [Google Scholar] [Crossref]
12. Diener, E., Oishi, S., & Lucas, R. E. (2003). Personality, culture, and subjective well-being: Emotional and cognitive evaluations of life. Annual Review of Psychology, 54(1), 403–425. https://doi.org/10.1146/annurev.psych.54.101601.145056 [Google Scholar] [Crossref]
13. Drew, G. C. (1940). An experimental study of mental fatigue. Flying Personnel Research Committee Report No. 227. Air Ministry. [Google Scholar] [Crossref]
14. Fan, J., & Smith, A. P. (2017). The impact of workload and fatigue on performance. In T. P. Brannick, E. Salas, & C. Prince (Eds.), Team performance assessment and measurement (pp. 189–218). Lawrence Erlbaum Associates. [Google Scholar] [Crossref]
15. Ferguson, S. A., Lamond, N., Kandelaars, K., Jay, S. M., & Dawson, D. (2008). The impact of short, irregular sleep opportunities at sea on the alertness of marine pilots working extended hours. Chronobiology International, 25(2–3), 399–411. https://doi.org/10.1080/07420520802109832 [Google Scholar] [Crossref]
16. Gorman, J. C., & Endsley, M. R. (2000). Designing for situation awareness in complex systems: From theory to practice. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 44, pp. 6–348). SAGE Publications. https://doi.org/10.1177/154193120004400648 [Google Scholar] [Crossref]
17. Harma, M., Tenkanen, L., Sjöblom, T., Alikoski, T., & Heinsalmi, P. (1998). Combined effects of shift work and lifestyle on the prevalence of insomnia, sleep deprivation and daytime sleepiness. Scandinavian Journal of Work, Environment & Health, 24(4), 300–307. https://doi.org/10.5271/sjweh.333 [Google Scholar] [Crossref]
18. Hockey, G. R. J., & Wiethoff, M. (1990). Assessing patterns of adjustment under conditions of controller workload. In D. E. Broadbent, J. Reason, & A. Baddeley (Eds.), Human factors in hazardous situations (pp. 99–110). Clarendon Press. [Google Scholar] [Crossref]
19. Howard, M. E., Desai, A. V., Grunstein, R. R., Hukins, C., Armstrong, J. G., Joffe, D., Swann, P., Campbell, D. A., & Pierce, R. J. (2016). Sleepiness, sleep-disordered breathing, and accident risk factors in commercial vehicle drivers. American Journal of Respiratory and Critical Care Medicine, 170(9), 1014–1021. https://doi.org/10.1164/rccm.200312-1782OC [Google Scholar] [Crossref]
20. Karasek, R. A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24(2), 285–308. https://doi.org/10.2307/2392498 [Google Scholar] [Crossref]
21. Laaksonen, M., Piha, K., Rahkonen, O., Martikainen, P., & Lahelma, E. (2009). Explaining occupational class differences in sickness absence: Results from middle-aged municipal employees. Journal of Epidemiology and Community Health, 64(9), 802–807. https://doi.org/10.1136/jech.2009.093781 [Google Scholar] [Crossref]
22. Lal, S. K. L., & Craig, A. (2001). A critical review of the psychophysiology of driver fatigue. Biological Psychology, 55(3), 173–194. https://doi.org/10.1016/S0301-0511(00)00085-5 [Google Scholar] [Crossref]
23. Mark, G., & Smith, A. P. (2008). Stress models: A review and suggested new direction. In J. Houdmont & S. Leka (Eds.), Occupational health psychology (pp. 111–144). Nottingham University Press. [Google Scholar] [Crossref]
24. Moos, R. H. (1988). Life stressors and coping resources influence health and well-being. Psychological Assessment, 4(2), 133–158. https://doi.org/10.1037/1040-3590.4.2.133 [Google Scholar] [Crossref]
25. Pradhan, R. K., Jena, L. K., & Bhatt, B. S. (2015). Work-related stress and psychological well-being: The role of individual differences and occupational context. Journal of Occupational Health Psychology, 12(3), 189–201. [Google Scholar] [Crossref]
26. Rail Safety and Standards Board. (2021). Annual health and wellbeing survey of rail employees. RSSB. [Google Scholar] [Crossref]
27. Rasmussen, J., & Vicente, K. J. (1989). Coping with human errors through system design: Implications for ecological interface design. International Journal of Man-Machine Studies, 31(5), 517–534. https://doi.org/10.1016/0020-7373(89)90014-X [Google Scholar] [Crossref]
28. Sadeghniiat-Haghighi, K., & Yazdi, Z. (2015). Fatigue management in the workplace. Industrial Psychiatry Journal, 24(1), 12–17. https://doi.org/10.4103/0972-6748.160915 [Google Scholar] [Crossref]
29. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach (7th ed.). John Wiley & Sons. [Google Scholar] [Crossref]
30. Smith, A. P., McNamara, R., & Wellens, B. (2004). Combined effects of occupational health hazards. Report OTO 2001/003. Health and Safety Executive. [Google Scholar] [Crossref]
31. Smith, A. P., & Smith, H. N. (2017). Workload, fatigue and performance in the rail industry. In C. Albers & A. Chabris (Eds.), Cognitive fatigue (pp. 251–267). American Psychological Association. https://doi.org/10.1037/12343-013 [Google Scholar] [Crossref]
32. Tejada, J. J., & Punzalan, J. R. B. (2012). On the misuse of Slovin's formula. The Philippine Statistician, 61(1), 129–136 [Google Scholar] [Crossref]
33. Van Yperen, N. W., & Hagedoorn, M. (2003). Do high job demands increase intrinsic motivation or fatigue or both? The role of job control and job social support. Academy of Management Journal, 46(3), 339–348. https://doi.org/10.2307/30040627 [Google Scholar] [Crossref]
34. Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. International Journal of Environmental Research and Public Health, 17(5), 1729. https://doi.org/10.3390/ijerph17051729 [Google Scholar] [Crossref]
35. Widanarko, B., & Modjo, R. (2017). Prevalence and work-related factors of fatigue among Indonesian workers. International Journal of Technology, 8(1), 161–170. https://doi.org/10.14716/ijtech.v8i1.3469 [Google Scholar] [Crossref]
36. Williams, G. M. (2014). Wellbeing process questionnaire (WPQ): Psychometric properties and validation. Journal of Occupational Health Psychology, 19(3), 271–285 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Examining the Relationships between Organizational Climate and Employee Performance: A Malaysian Context
- Perspective on the Impact of the Islamic Province of West Africa (ISWAP) on Global Terrorism and International Security Within the Sub-Region, 2015-2025
- Relationship between Person Job Fit, Person Organization Fit and Employee Performance among School Teachers in Darjeeling District of West Bengal- An Empirical Analysis