Journal of Health and Safety at Work

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Introduction: Each year tens of millions of labors are victims of occupational incidents leading to the disablement or death of many of them. The present study has been conducted with the aim of predicting the performance monitoring indicators of incident after implementation of the integrated management system in order to reduce number of incidents, safety monitoring, and giving priority to safety programs in the organization policies.

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Matherial and Methods: Using safety performance indicators, this descriptive-analytical study has been done in two stages in a combined cycle power plant on 254 incidents before the implementation (2004) and the years after the implementation of integrated management systems(a seven year period). The required data was gathered through checklist and interview with the injured workers. Kolmogorov-Smirnov, Chi Square, and Cubic regression tests were utilized for data analysis at significance level of 0.05.

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Results: Of the 1131 labors during a seven year period, 254 occupational incidents were recorded. The highest value of accident frequency rate was in 2004 (32.65) while the highest accident severity rate was in the year 2008 (209). Moreover, the lowest frequency rate and severity rate were related to the year 2011 with value of 9.75 and 29.26, respectively. Regression graphs, between the observed values and the estimated values, showed that the coefficients of all the indicators, except for β1of ASR,are significant(P< 0.05) as expected. This result implies the improvement in the safety performance and integrated management systems.

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Conclusion: Findings show that Cubic regression can be an appropriate to olforinvestigating the indicators trends and for their predictionin planning and monitoring the performance ofsafety unitso that the decision-making for determining the priority of organizations’ safety programs would be facilitated.

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Introduction: Road accidents are of the most important events, which cause death and injury of a large number of people and impose huge economic losses. According to previous studies, human factors are the main cause of traffic accidents. The purpose of this study was to investigate the role of behavioral factors in driving-related non-fatal accidents.

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Material and Method: The present analytical study was carried out among 150 drivers of urban and suburban transportation system in Yazd province. The research tool was Driver Behavior Questionnaire (DBQ) which is consisted of two sections: demographic information and driving behavior.

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Result: 83/9 % of the participants reported to use safety belt nearly always. The highest deliberate violations, slips, and mistakes were belonged to drivers with age group of 18-25. Moreover, deliberate violations had a significant relationship with rage (P < 0.05). Survey of behavioral factors in terms of vehicle ownership type showed that “deliberate violations” and “slips and mistakes” high among personal bus drivers and state-owned bus drivers, respectively, which shows the significant association between these behavioral factors and ownership type. What is more, rates of deliberate and unintentional violations and slips were higher among those with a history of two times incidents (P < 0.004).

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Conclusion: The results revealed that behavioral factors such as age, type of vehicle ownership, and accident history played a significant role in occurrence of traffic accidents.

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Introduction: There are some tensions in occupational activities that are caused by harsh conditions and occupational violence is considered one of these tensions. Workplace violence is a global problem. Healthcare workers are globally exposed to the workplace violence more than any other workers. The aim of this study was to investigate the relationship between some individual and job variables with exposure to occupational violence among health care workers in the hospitals in Yazd province, Iran.
 

Material and Method: This cross-sectional, descriptive-analytical study was conducted in eight educational hospitals in Yazd province, Iran. Research population (600 participants) consisted of all healthcare personnel employed in hospitals affiliated to the Shahid Sadoughi University of Medical Sciences in Yazd and were selected by stratified sampling. The Negative Act Questionnaire-Revised (NAQ-R) was used to investigate occupational violence and data analysis was performed using multiple logistic regression tests.
 

Result: The average score of occupational violence was 19.3. Among individual factors, gender (male) and educational level (MSc degree), and among job factors, shift work (morning shift) and type of work environment (genecology and pediatrics wards) had significant relationships with the incidence of violence among the employees.
 

Conclusion: The importance of these findings is in planning and deployment of intervention measures using educational training with regard to the ways of preventing violence, decreasing the coworkers’ aggression, dealing with and increasing awareness about personal and civilian rights in order to reduce the phenomenon of violence among employees.

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Introduction: Considering the abundance and the large number of workers employed in micro and small industrial workshops in Iran and the importance of workers’ health, the present study aimed to investigate the mediating role of chronic fatigue in the relationship between mental workload and work ability with cognitive failure using path analysis.
Material and Methods: This study was conducted using a cross-sectional design on a sample of workers employed in micro and small industrial workshops in the city of Eghlid. Data were collected utilizing various measures, including demographic and occupational information questionnaires, the NASA Task Load Index (NASA-TLX), the Work Ability Index (WAI), and questionnaires for chronic fatigue and cognitive failure. The correlation test and path analysis modeling were used in SPSS (version 24) and AMOS softwares to investigate the relationship between variables.
Results: The mean scores of mental workload, work ability, chronic fatigue, and cognitive failure  
were 69.63, 35.20, 15.58, and 53.30, respectively. The values of the goodness of fit indices lead to  
the confirmation of the conceptual model by the research data. Also, based on the findings of the path analysis, the current research model has a good fit (CFI=1.00, GFI=0.998, NFI=0.999, AGFI=0.98 and RMSEA=0.003(0.00,0.169)).
Conclusion: The path analysis results indicate that chronic fatigue plays a significant mediating role  
in the relationship between mental workload and work ability with cognitive failure. A better understanding of the mediating mechanisms and complex effects of these relationships can contribute to improving the management of chronic fatigue and enhancing cognitive performance in the workplace.