Journal of Health and Safety at Work

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Introduction: Investigation of accidents have shown that more than 90% of industrial accidents are related to human aspects. What is more, safe behaviors can not be institutionalized in industries by only using technical-engineering measures and enacting safety rules. Building a positive and effective safety culture can make individuals aware of hazards and consequently reduce accidents in the workplace.

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Material and Method: In this analytical-descriptive study, a standardized safety culture questionnaire was used. The questionnaire comprised of 40 question including five dimensions of: training, work environment, safety priority, information exchanges and management commitment. In this regard, the questionnaire was distributed among personnel of three laboratories in a petrochemical company. Five point Likert scale was for recording the responses.

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Result: The mean score for safety culture was 136.7 for laboratory personnel which was considered positive according to the presented definition. In this sense, safety priority and management commitment with score of 31.9 and 25.2 obtained respectively the dimensions of safety culture.

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Conclusion: Strong and positive safety culture among laboratory personnel would prevent incidence of many occupational accidents. In another word, it would help organizations to facilitate access to higher standards.

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Introduction: Gasoline is a complex mixture of more than 500 various hydrocarbons. The elimination of lead from petrol has been associated with the production of significant amounts of hepatotoxic and nephrotoxic monocyclic aromatic hydrocarbons such as benzene, toluene and xylene (BTX). The main purpose of this study was to ascertain whether or not exposure to unleaded petrol, under normal working conditions, is associated with any hepatotoxic or nephrotoxic response.

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Materials and Methods: This was a retrospective cohort study in which 200 subjects with current exposure to unleaded petrol working in Shiraz petrol stations as well as 200 unexposed employees were investigated. Using standard methods, atmospheric concentrations of BTX were measured. Additionally, blood and urine samples were taken from subjects for routine biochemical tests of kidney and liver function.

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Results: The geometric means of airborne concentrations of BTX were found to be 0.24, 0.37 and 0.64 ppm, respectively. The result of blood chemistry tests showed that means of direct bilirubin, ALT, AST, urea and plasma creatinine were significantly higher in exposed subjects than in unexposed employees, although all of these parameters were in the normal range. Conversely, serum albumin, total protein and serum concentration of calcium and sodium were significantly lower in petrol station workers than in their unexposed counterparts.

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Conclusions: The average exposure of petrol station workers to BTX is lower than the current TLVs for these chemicals. However, clinical significance and long-term results of observed changes in liner and kidney of exposed workers needs more evident in comparison with unexposed group.

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Introduction: The weaknesses of traditional hazard analysis methods lead to their inefficiency to utilization for modern socio-technical systems. System Theoretic Process Analysis (STPA), which is in the category of systematic analysis methods, has a powerful logic to identify hazards in such systems,as a suitable alternative method. This study aimed to analyze hazards associated with extinguishing systems of steam unit of a power plant, using STPA method.

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Material and Method: The present research is a qualitative case study. The related hazards were defined using STPA method.Following, the safety control structure diagrams in different parts were plotted and inadequate control measures and its causal factors were identified.

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Result: For steam unit of power plant, the most tragic incidents wererelated to hazards and risks of turbine device (switch the turbine cycle). Then, according to the plotted diagram for structure of safety control extinguishing systems associated with switching the turbine cycle, PLC system was determined as the most important part of the control system and operator was identified as the strategic and effective part of a control system. Following, more than 54 causal factors were identified, considering the relevant details about the risks analysis of the turbine.

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Conclusion: Due to its systematic structure,STPA method can be effective for a more complete identification of risks and causal factors which causing hazards in the emergency extinguishing systems. Therefore, development of such tools for those operators involved in safety-critical systems will be useful in terms of safety.

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Introduction: Safety signs provide information,related to hazards or dangers in the industry,in form of instructions. These signs are effective as long as they are designed in accordance with principles of ergonomics and design cognitive features. The purpose of this present research was to study the relationship between cognitive features of signs and ability to guess, and to develop the relevant regression model.

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Materials and methods: This descriptive cross-sectional study was carried out on 100 employees in a petrochemical industry complex. A three part questionnaire was used to collect required data while first part of the questionnaire dealt with demographic information, second part included cognitive features of signs designand the third part proceeded on testing the ability to guess. Then, a regression model was developed to determine the relationship between cognitive features, and the ability to guess.

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Results: Mean and standard deviation obtained for the ability to guess the total study signs were 63.73 and 4.36, respectively. The feature of “familiarity” obtained the lowest possible score (49.15). The “semantic closeness” (β=0/390) and “meaningfulness” (β=0/369) had the highest correlation with the ability to guess safety signs.

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Conclusion: According to results of this study, use of principles of ergonomic design of signs and training are necessary to promote the ability to guess the safety signs to the minimum available standards. Therefore, it is possible to balance cognitive features especially “familiarity”, with the lowest score, and “meaningfulness” and “semantic closeness”, with the highest influential relationship with the ability to guess of signs. The developed regression model for this industry can be used to predict the ability to guess of safety signs in future studies

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Introduction: Nursing Known as a stressful and overwhelming profession. Due to the stressful nature of the nursing job, nurses experience burnout more than any other occupation, which may affect the quality of health care. Emotional intelligence is one of the important predictors of psychological well-being and it plays an important role as a distinguishing factor for organizational performance and achievement of job success. The purpose of this study was to determine the relationship between emotional intelligence and nurses' personal and occupational characteristics.
 
Material and method:  In this cross-sectional analytical study, 135 nursing staff working in Gonabad hospitals was selected through a census sampling method. Written informed consent of nurses and working in hospitals of Gonabad city were the inclusion criteria and Failure to complete the questionnaires or the questionnaire being confounded or withdrawal from the study was considered as the exclusion criteria. They were evaluated by Shirring Emotional Intelligence Questionnaire and Demographic Information Form. The research data were analyzed using SPSS software version 16, Chi-square test, one-way ANOVA and Pearson correlation coefficient. The significance level was less than 0.05.
Results: In this study72.6% of participants were women. The majority of nurses were married (81.5%) and 87.4% of nursing staff had high emotional intelligence. In this study, there was no significant relationship between individual characteristics and emotional intelligence, but there was a significant association between job characteristics, job shift (P = 0.03) and employment status (P = 0.03) with total emotional intelligence. The results showed that there was a significant relationship between social consciousness with education level (p = 0.019) and employment status (p = 0.001) and there was a significant relationship between social skills with work shift (p = 0.003) and nurses' marital status (p = 0.007)
Conclusion: According to the findings, considering the appropriate job shifts for nurses and formalizing them to create a strong organizational commitment to take benefit of nurses with higher emotional intelligence and this leads to improved performance of nurses.

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Introduction: Nurses of the emergency department experience stressful events that affect their mental health and reduce the quality of their work life. Career adaptability is considered a personal capability that enables employees to adapt to changes and avoid the negative consequences of job mismatch. This study was conducted to study career adaptability and its correlation with the quality of work life in the emergency department.
Material and Methods: This descriptive-correlational study was conducted on 104 nurses in the emergency department of teaching–therapeutic hospitals in Tabriz who were selected using random stratified sampling. Data was collected using a demographic checklist, the Career Adapt-Abilities Scale (CAAS) by Savickas, and the Quality of Nursing Work Life (QNWL) scale by Brooks & Anderson. Data were analyzed in SPSS using descriptive statistics (frequency, mean and standard deviation) and inferential statistics (independent t-test, one-way analysis of variance, Pearson’s correlation coefficient, and linear regression analysis).
Results: The total scores of career adaptability and the quality of nursing work life were 88.55±25.01 from the achievable range of 24-120 and 141.15±22.56 from the achievable range of 42-252, respectively, which were moderate. In this study, 85.6% of nurses enjoyed a moderate quality of work life. Furthermore, the results of Pearson’s correlation indicated a significant positive correlation between career adaptability and scopes with the quality of work life score (p=0.05). Regression analysis results indicated that career adaptability significantly predicts the quality of nursing work life (p=0.000).
Conclusion: In this study, nurses experienced moderate career adaptability and quality of work life. Given the above factors, and considering adaptability as a variable predicting quality of work life, it is suggested to take measures to increase career adaptability in nurses through training or consulting interventions to improve the quality of nursing work life.

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Introduction: Failure Mode and Effects Analysis (FMEA) is a structured way to find and understand the states of a system’s failure and to calculate the resulting effects. In this method, which has been criticized by many researchers, the risk priority number is obtained for each failure mode based on the multiplication of the three parameters of occurrence (O), severity (S) and detection (D). In order to overcome the disadvantages of the traditional method of FMEA, such as ranking the failure and weighting the parameters, this research proposes a model in the fuzzy set.
Material and Methods: The model proposed in this paper is a nonlinear model for weighting the parameters of the FMEA and the revised TOPSIS method for ranking the failures, which is used for the first time to improve the FMEA method.
Results: The proposed model was presented in the Copper Complex of Shahr-e-Babak to assess safety risks. Based on the results of the study, it was found that in this proposed model, the weights of severity and detection were 0.479 and 0.186, respectively, and the results of the ranking showed that the risks of falling from height and getting stuck between objects had the highest and lowest priorities, respectively.
Conclusion: In the proposed model, based on Logarithmic Fuzzy Preference Programming and the revised TOPSIS method, the definite weights of the parameters were presented without any fuzzy number ranking and risk ranking with more criteria, respectively. Therefore, the proposed model has a higher ability compared to the traditional FMEA, and its application can be recommended to determine the ranking of risks.

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Introduction: Workplaces often contain potential risks, such as exposure to toxic chemicals. Conducting a thorough health risk assessment helps employers recognize these dangers and implement necessary controls. In the 20th century, modern risk assessment frameworks began to be established with the rise of public health agencies.
Material and Methods: The present study is a narrative review. In order to obtain necessary information, Persian and English texts were searched in Web of Science, PubMed, Scopus, SID and Magiran databases. Keywords such as “health risk assessment”, “chemicals” and “nanomaterials” were used in this study.
Results: Both quantitative and qualitative health risk assessments play critical roles in occupational health, with each method providing different levels of depth and accuracy depending on the situation. EPA Model, Monte-Carlo Simulation, Physiologically Based Pharmacokinetic (PBPK) Modeling, Quantitative Structure-Activity Relationship (QSAR) Models, Probabilistic Risk Assessment (PRA), Life Cycle Impact Assessment (LCIA), and Biologically Based Dose-Response (BBDR) Models, are among the most important quantitative methods for assessing the health risk of chemicals. COSHH Model, ICCT Model, ICMM Model, Australian Model, and Romanian Model, are the most important qualitative methods for health risk assessment of chemicals. In addition to the quantitative and qualitative methods, semi-quantitative methods like Singapore Model, LEC Method, and SEP Model, have also been proposed for assessing the health risk of chemicals. The preference for qualitative over quantitative methods in the risk assessment of activities involving nanomaterials stems from substantial uncertainties, limited data availability, and the unique and complex behaviors of nanomaterials in the workplaces.
Conclusion: Overall, the evolution of health risk assessment methods reflects a continuous drive towards greater accuracy, reliability, and relevance. As we continue to innovate and expand our knowledge, the field is well-positioned to address the complex and evolving landscape of chemical and material risks, ensuring the protection of human health and the environment.