Ethics code: IR.UMSHA.REC.1401.860
1- Hamadan University of Medical Sciences
2- Abadan University of Medical Sciences
3- Zahedan University of Medical Sciences
4- Hamadan University of Medical Sciences ,rahmaniohs2014@gmail.com
2- Abadan University of Medical Sciences
3- Zahedan University of Medical Sciences
4- Hamadan University of Medical Sciences ,
Abstract: (46 Views)
Background and Objective: Demanding and high-risk work environments, such as the railway industry, can significantly impact workers' occupational health. This study aimed to investigate the level of occupational fatigue and its relationship with job strain based on the Demand-Control Model among railway maintenance workers.
Methods: This cross-sectional analytical study was conducted among railway maintenance workers in the southeastern region of Iran. Data were collected using standardized questionnaires, including the Job Content Questionnaire (JCQ) and the Swedish Occupational Fatigue Inventory (SOFI-20), and were analyzed using SPSS version 26.
Findings: The findings indicated that the mean score of occupational fatigue was 43.99 ± 22.73, reflecting a high level of occupational fatigue among the study sample. Among the five dimensions of occupational fatigue, "Lack of Energy" received the highest score, while "Physical Exertion" received the lowest. Based on the Demand-Control Model, although most participants were classified in the "active" group, workers in the "high-strain" group (high demand, low control) reported significantly higher levels of occupational fatigue.
Conclusion: The results demonstrate that being in job positions characterized by high demands and low control is a significant risk factor for occupational fatigue. Therefore, designing organizational interventions aimed at increasing workers' authority and control over their tasks can be effective in reducing occupational fatigue and promoting occupational health.
Methods: This cross-sectional analytical study was conducted among railway maintenance workers in the southeastern region of Iran. Data were collected using standardized questionnaires, including the Job Content Questionnaire (JCQ) and the Swedish Occupational Fatigue Inventory (SOFI-20), and were analyzed using SPSS version 26.
Findings: The findings indicated that the mean score of occupational fatigue was 43.99 ± 22.73, reflecting a high level of occupational fatigue among the study sample. Among the five dimensions of occupational fatigue, "Lack of Energy" received the highest score, while "Physical Exertion" received the lowest. Based on the Demand-Control Model, although most participants were classified in the "active" group, workers in the "high-strain" group (high demand, low control) reported significantly higher levels of occupational fatigue.
Conclusion: The results demonstrate that being in job positions characterized by high demands and low control is a significant risk factor for occupational fatigue. Therefore, designing organizational interventions aimed at increasing workers' authority and control over their tasks can be effective in reducing occupational fatigue and promoting occupational health.
Article number: 7
Type of Study: Research Article |
Subject:
Ergonomics
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