The purpose of this study was to investigate the relationship among noise exposure, sensitivity, and noise annoyance with job satisfaction and job stress among the workers of a textile industry. In this study, Weinstein’s Noise Sensitivity Scale, Noise Annoyance Questionnaire (recommended based on ISO 15666-2003), Health and Safety Executive (HSE) Job Stress Questionnaire, and Job Satisfaction Scale were used to determine the degree of noise sensitivity, noise annoyance, occupational stress, and job satisfaction, respectively. The results showed that there was a significant difference in the mean of job satisfaction, job stress, noise sensitivity, and noise annoyance between case and control groups. The results of multivariate analysis of covariance showed that noise exposure, noise sensitivity, and noise annoyance can justify 0.09, 0.19, and 0.06 of the variance of job stress, respectively. These variables also could justify 0.09, 0.12, and 0.05 of the variance of job satisfaction, respectively. Noise sensitivity had the greatest effect on increasing the occupational stress and job satisfaction.

BackgroundIncreasing the establishment of integrated management systems (IMSs) is done with the purpose of leaving traditional management methods and replacing them with modern management methods. Thus, the present study sought to analyze the events and investigate the impact of IMS on health and safety performance indices in an Iranian combined cycle power plants.MethodsThis case study was conducted in 2012 in all units of the Yazd Combined Cycle Power Plant on accident victims before and after the implementation of IMS. For data analysis and prediction of indices after the implementation of IMS, descriptive statistics and Kolmogorov–Smirnov test, Chi-square, linear regression, and Cubic tests were conducted using SPSS software.ResultsThe number of people employed in the power plant in an 8-year period (2004–2011) was 1,189, and 287 cases of work-related accidents were recorded. The highest accident frequency rate and accident severity rate were in 2004 (32.65) and 2008 (209), respectively. Safe T-score reached to below −3 during 2010–2011. In addition, given the regression results, the relation between all predictor variables with outcomes was significant (p < 0.05), except for the variable X1 belonging to the accident severity rate index.ConclusionThe implementation of safety programs especially that of IMS and its annual audits has had a significant impact on reducing accident indices and improving safety within the study period. Accordingly, health and safety management systems are appropriate tools for reducing accident rate, and the use of regression models and accident indices is also a suitable way for monitoring safety performance.

The results of the study can be used to address ergonomic risk factors and reduce their associated disorders. The findings of the study can be used in training programs to educate drivers how to decrease the risk associated with work-related MSDs by adopting appropriate behavior strategies.

Background: Firefighting and rescue require high physical and psychological needs under unpredictable and dangerous conditions. Thus, this study aimed to investigate mental workload and affecting factors in firefighters. Materials and Methods: This is a descriptive study which was conducted on 250 firefighters of Tehran, Iran. National Aeronautics and Space Administration Task Load Index (NASA-TLX) survey was used in order to evaluate the mental load among firefighters. This tool evaluates mental workload in 6 areas of mental need, physical need, time pressure, endeavor level, performance (efficiency) and disappointment level. Each area is investigated with a scale from zero to 100. Finally, data were analyzed using descriptive statistics, Pearson correlation test and linear regression. Results: The mean and standard deviation (SD) of age in firefighters was 32.20 ± 4.54 years. The physical load dimension (93.48 ± 8.93) had highest value and disappointment and failure feeling (25.85 ± 23.38) had the lowest value in terms of mental workload. Association with educational level and the physical load was direct and significant (P = 0.035). None of the demographic variables including age, working history, educational level, marital status, as well as being smoker had an impact on total mental workload (P > 0.050). Conclusions: Overall mental workload was high in firefighters which can influence working efficiency and increase errors in this occupational group. Hence, implementing effective programs for adjusting mental workload such as ergonomic and psychological interventions are recommended for reducing mental and psychological errors and stress.

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