Iranian Journal of Ergonomics

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Introduction: Bank staff experience high level of job stress due to the nature of their work. One of the consequences of stress is its impact on job performance. Since the internal studies in this area are relatively rare, this study was conducted to investigate the relationship between the psychosocial stressors and job performance among bank staff. Materials and Methods: All staff of the bank branches participated in this study. The General Nordic Questionnaire and Human Resource Productivity Questionnaire were used for data collection. The correlation coefficient and regression models were employed to examine the relationship between job stressors and their scales as independent variables and job performance as the dependent variable. Furthermore, in order to accurately assess the relations between variables, structural equation models were utilized. Results: The results revealed that the prevalence of stress among bank staff was in moderate level (46.6%). Meanwhile, there was a negative and significant relationship between stress in "task domain" and "socio-organizational domain" and job performance. Among the measures in socio-organizational domain, organizational culture and leadership showed highly negative and significant relationships with job performance (p= 0.001). Conclusion: According to the obtained results, socio-organizational domain can be considered as the main cause of loss of productivity. Hence, it is suggested to make further attempts to control the psychosocial factors in workplaces and avoid performance deterioration, particularly in organizational culture and leadership measures.

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Background and aim: Traffic accidents are a leading cause of mortality and severe injuries. Driver behavior is a significant factor influencing this issue. This study aimed to investigate the status of unsafe driving behaviors and their relationship with road accidents among intercity drivers in Urmia.

Methods: This cross-sectional study conducted on 378 intercity drivers visiting the Occupational Medicine Center at Urmia University of Medical Sciences. Sampling was performed using a convenience method. The Driver Behavior Questionnaire (DBQ) was employed as the standard instrument. Data analysis was conducted using SPSS version 24 at the significance level of 0.05.

Findings: The highest score for unsafe behaviors was related to non-routine violations, with a mean of 1.33 ± 0.44. Significant positive correlations were found between all four DBQ subscales and road accidents (p < 0.001). Linear regression analysis revealed that routine violations and errors significantly predicted 24.3% of the variance in annual accidents.

Conclusion: This study demonstrated significant associations between unsafe driving behaviors and traffic accidents, emphasizing the need for targeted interventions to reduce high-risk driving behaviors.