Background and Objective: Job satisfaction and occupational stress are two factors affecting employees' productivity at the workplace in developed organizations. Occupational stress causes various prevalent physical and psychological effects, which in turn leads to poor job satisfaction. Despite many studies in this field on health groups, less attention has been paid to health workers. Further research is thus needed to explore and explain how job stress and job satisfaction are related to personal work and organizational factors among health center workers. Materials and Methods: This analytic cross-sectional study was performed from winter 2018 to spring 2019 among health workers of a city in Markazi province, Iran. Data collection tools were demographic and individual characteristics questionnaire, Job Description Index (JDI) questionnaire, and Occupational Stress Questionnaire (OSQ, Davies). Data were analyzed using the SPSS software (version 20). Results: The results showed that occupational stress is generally higher in women (119/848) than in men (108/122), and women's job satisfaction (242/450) is lower than that of men (262/682). In addition, there was a negative and significant relationship between occupational stress and job satisfaction (r=0.001, P=0.783) at the significance of level P<0.05. Multivariate regression findings also revealed that occupational stress can predict job satisfaction (β=-0.783, P=0.001). Moreover, the highest occupational stress and the lowest job satisfaction were related to healthcare workers. In general, stress and job satisfaction were obtained at a moderate level in this study, and there was a negative relationship between the two variables. Given that dissatisfaction is mainly seen in the discussion of promotions, salaries, and benefits, it is necessary to take measures to reduce stress, improve economic conditions, and create fair promotion conditions.

Background and Objective: Individuals constantly hear different sounds that can affect their work and living place. The present study aimed at investigating the effect of traffic noise on cortisol and salivary alphaamylase biomarkers. Materials and Methods: The subjects were men aged 18 to 35 who performed driving activities for one hour in the laboratory. The tests were performed in two conditions of background noise (35 dBA) and traffic noise with a level of 75 dBA and saliva samples were collected from the subjects before and after driving. Finally, saliva samples were analyzed with cortisol and alpha-amylase kits and by ELISA method. The statistical method used for data analysis was SPSS software (version 24) and data analysis was performed by Wilcoxon statistical test. The results of this study indicated that the concentrations of both biomarkers cortisol and alpha-amylase in background noise conditions after driving were higher than that before the start, although this increase was not significant (p> 0.05). In the presence of traffic noise with a level of 75 dBA, the concentration of both biomarkers after driving was significantly higher than that before driving. (p<0.05) Conclusion: This study demonstrated that exposure to traffic noise can increase the concentration of salivary alpha-amylase and cortisol biomarkers while driving.

Factors Affecting Traffic Accidents in Kermanshah City Taxi Drivers - Focusing on the Role of Fatigue and Sleep Quality

Representation of a Framework for Determining Emergency Muster Points in Process Industries Using Integrated FAHP-FTOPSIS Methods

The Study of Relationship between Socioeconomic Status and Safety Behaviors in Workers of Subway Construction Project in Qom, Iran

Iranian National Standards regarding safety, health and environmental aspects of nanotechnology: A review

Study the Impact of Acoustic Barrier on Noise Reduction of Generator Building, Case Study: North Azadegan Oil Field

Background and Objective: Industrial development accelerates the transportation of hazardous materials, especially in developing countries, which leads to an increased risk of accidents.Consequently, conducting further research is essential to reduce these consequences.The present study aimed to provide a simple, comprehensive and innovative model of risk management for transporting hazardous materials. Materials and Methods:The proposed model consisted of four steps of identification, analysis, evaluation, and control.Appropriate layouts and tools such as system dynamics and fuzzy AHP were used to ensure that all relevant elements were carefully examined.The model was implemented in a real example of hydrazine explosive transport.Results: In the risk analysis stage, it was found that population density is the most important factor in increasing the risk of transporting hazardous materials along with sub-criteria related to driver and management.Finally, ways to reduce risk to an acceptable level were examined during the presentation of risk control planning.Conclusion: Using system dynamics in the risk identification stage and fuzzy AHP in the risk analysis stage along with expert judgment can be effective in improving the risk management process.

Application of Arc-GIS for Zoning of Occupational Exposure Levels to Respirable Crystalline Silica in Crushing Factories