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Background: Spending a significant part of the daily in workplace has led to reduction in the time of rest and recreation of people. Therefore, considering the importance of the potential effect of mental work load on work ability, the present study was conducted to determine the relationship between mental workload and work ability in workers of a food industry. Methods: This cross-sectional study performed on 40 workers in a food industry in Qom province, Iran in 2017.  Three demographic questionnaires, NASA-Tlx mental workload index and work ability index (WAI) were used for data collection. Finally, data were analyzed using SPSS software. Results: The results obtained from examining the relationship between work ability index and mental workload index in the studied industry showed high workload index score, however, there was no significant relationship between these two indexes (P = 0.07). results of regression analysis showed that only age of people has a significant relationship with the results of WAI. Conclusion: The mental workload index among workers of food industry was very high, which can be attributed to strict supervision due to the importance of food hygiene. High mental workload can affect human error and work efficiency of the worker.

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Background: Job analysis, detecting hazards, and measuring their relationship with risk perception in workers are efficient ways of preventing accidents. Therefore, the present study is an attempt to identify and assess the risk of job accidents in steel industry in the south of Iran in 2020 using job safety analysis and the William Fine method. The results are also compared with the workers' perception of risk. Methods: The study population consisted of workers in the supplementary section of the studied steel industry(N=169). All the collected data were analyzed in SPSS using frequency and percentage for description and simple/multivariate logistic regression for analysis with sig. equal to 0.05.  To determine the risks, JSA was used. Risk assessment was also performed using William Fine method, and then risk scores were obtained. Afterwards, Risk Perception Questionnaire was used to collect information about risk perception in the workers. Results:In total, 265 job activities along with 2684 risks were identified and evaluated in 7 units of sections in the steel industry. Conclusion: The results of risk assessment and risk perception in this study indicate that when safety risk is properly perceived by workers, the chance of observing safety codes and better detection of risks increases. Therefore, in the face of an unsafe condition at work, workers will be abed to make the right decision and control the risk and prevent work accidents by taking corrective measures and making safe and efficient decisions.