Journal of Health and Safety at Work

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Introduction: Many methods exist for evaluating ergonomic risk factors for LBP at workplace, including biomechanical, physiological and psycho-physical methods. Digital Human Modeling (DHM) as a tool based on computer for ergonomic evaluation that Because having advantages such as saving time and costs in assessment and actively evaluation of ergonomic solutions in the digital environment.Aim of this study was evaluation occupational causes of LBP with the use of digital human modeling.

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Method and Materials: This study was a case quasi-experimental study in the engine assembly of the car manufacturing industry was conducted. First, The characteristics of job and risk factors for low back pain In all workstations were documented, then workstations with high risk of low back disorders were selected. Finally, a workstation for simulating and evaluating in the human digital modeling softwares, which includes 3DSSPP and Catia were selected. A total 22 posture of the lifting and lowering moment of the three tasks of workstation selected for simulation. After evaluation in the digital environment, the risk areas identified and solutions were presented.

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Results: The results showed that compressive and shear forces on the L5/S1 disc increased with increase of anthropometric dimensions and Horizontal distance from the body and decrease of height Lowering the site, and the percentage of people capable to perform a task in joint, decreased with increase of anthropometric dimensions. Ligament strain in postures with sever bending trunk were more increasing. RULA scores increased with the Unsuitable conditions of back and arms. High risk areas, were mainly related to the low height of pallets in lifting and lowering and high Horizontal distance from the body.

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Conclusion: According to The results of this study, Biomechanical Causes for LBP, including anthropometric characteristics (height and weight), Horizontal distance of object to the body, height of lifting and lowering location and trunk bending and torsion. This study showed that DHM is an effective tool in the evaluation of job tasks and workplace design, that can be identified risk area in each task and to achieve the ideal design. Using DHM can be implement Desired solution in a virtual environment and With the re-evaluation, Be sure of having effective solutions in the real environment.

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Introduction: In the interaction between man and machine, the human behavior plays a key role in the accidents occurrence and the risks. Safety culture models can be a base to safety culture assessments and may lead scientists toward effective aspects of organization safety. The aim of present study was to develop and offer a specific questionnaire for safety culture assessment according to the customized model in an automotive industry.

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Material and Method: In this cross-sectional analytical study, a questionnaire including 16 items and 37 questions was developed based on management, individual, and organizational factors. Then, the reliability and validity of the developed questionnaire, it were studied among 30 employees of an automotive company.

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Result: Concerning the reliability of the questionnaire, the Cronbach’s alpha was 0.855. In the context of validity of the questionnaire, the simplicity and clarification of contents were investigated by means of Expert Analysis. Moreover, in terms of the integral components of culture, according to the factorial analysis, this evaluation regarded to have ten main components.

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Conclusion: So far, there was no exclusive tool for evaluating safety culture based on a customized model. The findings of the present study showed that evaluating safety culture using the administered questionnaire is valid and reliable in the understudied industry.

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Introduction: One of the most important threats for employees working in chemical industries is exposing to the chemical materials. Lack of precaution and control regulations during working with chemicals can have irreparable consequences. So, in order to achieve an effective control program, it is necessary to have an appropriate assessment of the procedures involving exposure to the chemicals. William-fine method can provide an acceptable insight into hazard risk rate.

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Material and Method: In this study, a combination of AHP and William-fine adopted to achieve a model for chemicals exposure risk assessment in oil and gas industry. The numbers were extracted from questionnaire, and then, they weighted entered to assessment the model. Finally, they were presented quantitatively with protection layer.

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Result and Conclusion: The results revealed that the quantitative amount of consequence, probability and exposure was 83.2, 8.45, and 2.2, respectively. Generally, the chemical exposure risk number was 1546 which shows that reforming plans are in highly priorities from an economical point of view. William-fine method has the benefit of an accurate chemical exposure by combination of effect severity, exposure probability and detriment rate, and also minimization of personal judgments during the assessment.

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Introduction: Biorhythm is one of the newest subject in the field of cognition of mental ergonomics which can be very effective in reduction of work-related accidents or mistakes with no apparent reason.
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Material and Method: This research is a cross-sectional, retrospective, practical and analytical-descriptive study. Delijan cement production company during 2010-2011. Census method was applied and totally 79 accidents (total of the accidents) were investigated. The required information was collected from available documents in HSE unit of the company biorhythm charts were drawn based on a dates of accidents and participants birthdays, using Natural Biorhythm Software V3.02. Human errors were classified according to reason model and were analyzed by SPSS-W software.
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Result: The results of analysis showed that 40% of accidents have been accrued in usual days and the other 60% in critical days of biorhythm cycle. Regarding errors leading to accidents, it was observed that 95% of accidents were related to human error and 5% related to equipment errors. Moreover, 65.8% of the human errors were associated with the slipping which happens during performing a task, according to reason model.
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Conclusion: Findings of this research showed that bad and critical days of individuals’ biorhythms cycle influence the occurrence of accidents. Therefore, by training and increasing the knowledge of workers regarding biological cycle and its effects on mental, emotional and physical status, each person effects can make some changes to theire work plans during days that they do not feel well, physically or mentally, in order to prevent the likely accidents.

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Introduction: Chromium (VI) is a known human carcinogenic agent which is used in numerous industrial processes such as electroplating, welding, textile, cement and steel fabrication. The aim of this study was to determine the effectiveness of natural zeolite on the fixed bed adsorption of Cr (VI) from air stream.
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Material and Method: In this experimental study, chromium mists were generated by a nebulizer (3A model, Italy). Performance of natural zeolite in the Cr (VI) adsorption and its influencing factors such as air flow rate (1 and 3 L/min), the initial Cr concentration (0.05, 0.15, 1 and 10 mg/m³) and the bed depth (2.5, 5 and 10 cm) were investigated.
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Result: Zeolite adsorption capacity elevated by the increasing of bed depth but decreased with increasing of flow rate and inlet concentration. In order to facilitate the prediction of natural zeolite column performance Yoon-Nelson and Thomas models were used. The results showed that these models have a good agreement with our experimental data.
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Conclusion: Due to the extensive use of chromium in various industries and regulatory requirements related to workplace health and safety, Cr emission control in the occupational environment is essential. The adsorption process is one of the controlling measures of chromium emissions. The results indicated that natural zeolite has a high efficiency in Cr (VI) adsorption.

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Introduction: Polycyclic aromatic hydrocarbons (PAHs) are one of the most significant current environmental issues. Phenanthrene and naphthalene adsorption at activated carbon beds prevent the release of these compounds into the environment. The objective of this research was to compare the amounts of phenanthrene and naphthalene adsorption at activated carbon beds in the n-hexane solution.

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Material and Method: This discontinuous experimental study was conducted in the laboratory scale batch and in the n-hexane solution containing phenanthrene and naphthalene.PH values were adjusted by adding hydrochloric acidand 1 N NaOH. The initial and residual phenanthrene and naphthalene concentrations were spectrophotometrically measured at 270 and 266 nm, respectively.

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Results: Findings showed that the maximum adsorption of naphthalene was obtained at pH=5 and contact time of 8 hours (7.4 mg/gr). The maximum adsorption was reached at pH=7 and contact time of 11 hours for phenanthrene (8.34 mg/gr).Improvement in the adsorption capacity was happenedby the increases in contact time and initial phenanthrene and naphthalene concentrations. The adsorption kinetics of these two compounds followed pseudo-second-order and Freundlich isotherm model.

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Conclusion: Freundlich isotherm model showed a strong association with PAHs adsorption process. A weak correlationwas observed between Langmuir theory and the results of the adsorption at activated carbon beds in the organic n-hexane solution.

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Introduction: The healthcare system is one of the largest sectors in most countries and is a socio-technical system in which people play a preponderant role. Nowadays medical work systems are facing three major challenges: 1) Healthcare costs, 2) Quality and patient demands and 3) complexity of healthcare. These problems show the necessity of applying ergonomic models in the healthcare sector. The aim of this study was to review the practical ergonomic models in healthcare system.
 

Material and method: For this review article, the authors searched through ScienceDirect, PubMed, ProQuest internet databases from 2005-2014 using the following keywords: Healthcare, Ergonomics, Human factors and model.
 

Result: Overall, 85 articles were reviewed. By evaluating articles' titles, 30 articles related to the study subject were chosen. Then, reviewing the abstracts resulted in 15 articles and in the final step 5 full-text articles were selected which described practical models of ergonomics in healthcare: 1) SEIPS, 2) DIAL-F, 3) Extended Patient-Staff-Machine-Interaction, 4) Adapted Medical-Task and 5) Recursive Hierarchical Task-Process-Task-Model.
 

Conclusion: Most of the published studies emphasize on application of ergonomic models in healthcare centers since these models may reduce their problems. These ergonomics approaches support patient-centered treatment processes, user-oriented design of medical environments, efficient utilization of resources and increase motivation of clinical staff.

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Introduction: Emotional intelligence as the ability to understand and control feelings and emotions, and job satisfaction as positive attitudes of employees towards their jobs is amongst the effective indicators in the workplaces. Therefore, this research invetigated the effect of emotional intelligence of employees on their job satisfaction in one of the Oil refineries in Tehran.
 

Methods and Materials: This research is a practical and cross-sectional study. The statistical population consisted of 300 employees selected by stratified random sampling method. Bar-On questionnaire (90-item) and JDI questionnaire (70-item) were used in order to measure emotional intelligence and job satisfaction, respectively. LISREL8.72 software was employed to estimate causal effect between study variables and calculation of descriptive indices and comparison of variables were done by means of SPSS software version 18.
 

Results: According to results, there was a direct association between emotional intelligence of employees and their job satisfaction. In other words, the higher emotional intelligence, the higher rate of job satisfaction. Of the 15 sub-scales of emotional intelligence, Responsibility and Self-expression obtained the highest and the lowest scores, respectively. Furthermore, Supervisor and Salaries were ranked as the highest and the lowest valued subscales of job satisfaction. According to the results, employees job satisfaction level are improved in parallel to increase of education level and the maximum score of this variable was belonged to the age group of 30-45 years.}
 

Conclusion: Emotional intelligence, as a psychological variable, affects the worker's job satisfaction. Considering the direct relationship between these two variables, by training and increasing the emotional intelligence of employees, job satisfaction and consequently their efficiency and productivity can be improved in the workplaces.

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Introduction: Although human industrial activities are as a part of efforts to achieve greater prosperity, the risks related to these activities are also expanding. Hazard identification and risk assessment in the oil and gas industries are essential to reduce the frequency and severity of accidents and minimize damage to people and property before their occurrence. The aim of this study was to evaluate the liquefied and pressurized petroleum gas spherical tanks in a refinery and assessing the risks of Boiling Liquid Expanding Vapor Explosion (BLEVE) phenomenon.

Material and Method: In this study, the risks of BLEVE phenomenon were assessed, using the Bowtie method. The consequences of explosion wave phenomenon and the resulting wave quantity and its impacts on the neighboring machineries and equipment were analyzed. PHAST software version 6.54 has been used for modeling the BLEVE phenomenon.

Result: In this evaluation, generally five causes and two consequences were identified for BLEVE phenomenon. In order to reduce its consequences, forty-three controlling measures were introduced to prevent the BLEVE phenomenon and the impacts of 31 control measures were identified. According to the conducted analysis, it was found that the spherical tank blast wave caused by LPG can lead to explosion of close located tanks which can create a chain of explosions.

Conclusion: The results of modeling and risk assessment can be used to identify the BLEVE phenomenon causes and its effects on nearby people and equipment. Based on these results, preventive controlling measures can be implemented and also be determined by adopting proper design and layout, margin of safety for personnel, equipment and accessories.

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Introduction: Noise pollution in urban areas has been recognized as a major problem. Since hearing damages are the main concern of noise exposure, other physical and psychological effects should not be ignored. Noise-induced annoyance and consequently its side-effects, such as fatigue and loss of concentration, would increase the probability of human errors occurrence and occasionally irreversible occupational accidents. This matter show the importance of noise exposure level from the standpoint of both community health and workplace safety.

Material and Method: This cross-sectional study was conducted to investigate the annoyance caused by air transportation noise in tehran, 2014. In this sense, a sample of 200 individuals were selected from residential and nonindustrial noise-exposed population in four southwest regions in Tehran. Following, the study questionnaires including annoyance (Recommended based on ISO 15666-2003), visibility of airplane, noise perception, and demographic variables were distributed and completed by the participants. Data obtained from Integrated Noise Model (INM) and geographic coordinates of measurement stations, recorded by Glopal Positioning System (GPS), were entered into the GIS software in order to estimate air traffic noise.

Result: The present study showed that the equivalent sound level of all regions during night, the day average sound level only in the Simetry Jey area, and the average night noise level in all regions except Dorahi Ghopan were more than the acceptable level; and the most precentage of people with high annoyance was belonged to night annoyance rate. On the other hand, the correlation between day level (DL) and day annoyance rate (P=0.01, R=0.142), night level and night annoyance rate (P=0.004, R=0.334), and Day-Night Average Sound Level (DNL) and the day-night annoyance rate (P<0.0001, R=0.235) were obtained statistically significant.

Conclusion: Adopting management srategies for reduction of number of night flights or engineering measures such as improving construction to decrease the rate of receiving noise by exposed people can have a positive considerable effect on declining noise pollution and individuals’ annoyance rate.

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Introduction: Nowadays, many modern industries require an environment with no contamination by particles and bacteria. An enclosed clean room environment is a place where parameters such as airborne particles, temperature, humidity, air pressure and air flow pattern is controlled. The aim of this study was to evaluate functional parameters of a clean room  in a selected pharmaceutical industry.  

Material and Method: This study was an experimental study conducted in 2015 in a pharmaceutical industry.  The air flow rate and flow rate with airflow capture hood was used and multi sensor devices for measuring temperature, humidity and pressure of multi-sensor device. HEPA filter leakage test and counting concentration of particles in the cleanroom was done according to the ISO 14644 – 3(2005) standards using aerosol photometer and aerosol generator. In this study, 6 clean room relating to the 3 cleanliness classes B, C and D (in accordance with standard EU GMP) were evaluated. Meanwhile, both the 2 and 3-dimensional flow model using Computational Fluid Dynamics Software was simulated in this study.   

Result: Measuring the parameters flow rate and air velocity, temperature (average temperature 20 ° C), relative humidity (below 50%), pressure (pressure less than 15 psi) for every three classes of cleanliness are all acceptable and less than the proposed standard. Furthermore, the results of modelling showed that the pattern of air flow in the room is correct paths in circulation. In the case of leakage test filters, the filter 29 filters tested 5 was leaking and ultimately determine the HEPA filters remove particles that average efficiency is 99.99%.

Conclusion: This study showed that the high volume and good quality of air entering the clean room affect the optimal efficiency and air flow rate, pressure drop and air penetration of the HEPA filters Also, the results of study show that the concentration of airborne particles in clean room is depend on the air flow rate and speed and adopting a good air flow pattern will affect the particle concentration.

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Introduction: Teaching has been reported stressful. Although, the majority of teachers aren’t anxious or unmotivated and they even consider their job valuable and satisfying. Job demands-resources (JD-R) is a comprehensive model in occupational stress domain that simultaneously examines the stressful and motivational aspects of occupations and their related outcomes. Accordingly, the objective of this paper is to investigate job characteristics of teaching (job demands and job resources) and their subsequent outcomes by utilizing proposed model.

Material and Method: This study was a cross-sectional design among 247 high school teachers in Tehran city who were selected by two-stage cluster sampling in spring and summer of 1391. Three aspects of job demands (pupil misbehavior, work-family conflict, and cognitive demand), 2 aspects of job resources (supervisory support and job condition), emotional exhaustion, vigor, teacher’s illness symptoms, and organizational commitment were assessed using job demands-resources model. The data were analyzed by means of SPSS 21 program and path analysis by using AMOS 23 program.

Result: According to the results, model fit indices were in acceptable range and all the coefficient paths were significant (p<0.001). Considering model, Job demands were a better predictor for emotional exhaustion (β=0.3) than job resources (β=0.2). However, they had an equal but opposite impact on vigor (β=±0.27). Moreover, we observed partial mediation relationships between job demands and illness symptoms and job resources and organizational commitment via emotional exhaustion and vigor respectively.

Conclusion: Based on the findings, fostering initiatives with priorities of firstly regulating job demands and secondly improving job resources can be effective strategies to reduce job related burnout and promoting job engagement, health and organizational commitment of teachers

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Introduction: Hexavalent chromium (VI) is a very strong oxidizing agent that, despite its many uses in various industries, duration of the exposure can lead to lung cancer, deep wounds (in the hands, arm, tongue and palate), nasal septum perforation, burning and inflammation in the nose, lung and upper respiratory tract, asthma, contact dermatitis, damage to the kidneys and liver, and skin allergy. This study aimed to determine the activated carbon efficiency in chromium adsorption (VI) from air flow and its effective parameters. 

Material and Method: In this experimental study, chromium mists were generated by a nebulizer (3A model, Italy). Performance of activated carbon in the Cr (VI) adsorption and its influencing factors such as air flow rate (1 and 3L/min), the initial Cr concentration (0.05, 0.15, 1 and 10 mg/m3) and bed depth (2.5, 5 and 10 cm) were investigated. Yoon-Nelson and Thomas models were used to predict performance of adsorbent column and correlation test was used to determine accordance between the model and actual data.

Result: Activated carbon adsorption capacity increased with increasing of bed depth but decreased with increasing of flow rate and inlet concentration. The results showed that the Yoon-Nelson and Thomas models with a correlation coefficient above 0.9953 matched with the experimental data.

Conclusion: The results indicated that activated carbon has a high efficiency in Cr (VI) adsorption, so that its efficiency at flow rate of 3 L/m, depth of 5 cm and concentration of 20 TLV and TLV was 85.42 and 71.83 percent respectively.

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Introduction: The use of hearing protective devices (HPDs) is the last way for noise control. It is important to know the information about the duration time using these devices to ensure protetion effectiveness. The aim of this study was to investigate the effect of increasing duration time of the using of the devices on hearing loss in tile industry workers with application of the BASNEF education model.  

Material and Method: Task Base Method (TBM) and ISO9612(2009) standard methods through a noise dosimeter device were used to exmine workers’ noise exposure level when they didn’t used of HPDs. Actual performance of HPDs was determined by using the NIOSH standard before and after training intervention and measuring time of use and protection device type. Data were analyzed using SPSSVv19 and conducting t-test and ANCOVA statistical tests.   

Result: Before training intervention, the actual noise level for case workers was 89.76 dBA. On the contrary, this value was 84.04 dBA for after intervention, with a significant difference with control group (P<0.0001) using ANCOVA analysis. In control group, the actual level of noise has not changed because this group has not received any training.

Conclusion: The results revealed that, based on BASNEF education model, duration time of using hearing protection devices is effective on increasing their function and performance.

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Introduction: Being aware of the explosion, fire radius, and their damages, has an important role in accident prevention methods. Therefore, the aim of this study was modeling and evaluation of the consequences of propylene oxide spill in a petrochemical company.
 

Material and Method: The QRA method including seven steps was used in this study. In the present study, in order to examine and modeling of the propagation propylene oxide, first a familiarization with the process information of the unit was done then, a risk assessment was carried out adopting HAZOP technique to identify existing hazards. Consequence analysis in a process unit includes: selecting important scenarios, characterizing scenario, modeling the consequences of scenarios, analyzing the results and determining the percentage of mortality. PHAST software version 6.51 was used for modeling of outcomes and assessment propylene leak.
 

Result: urves of the firing zones of sudden release of propylene oxide showed that the influence puts are included up to radius of 0.15 meters in the scenario of leakage 5 mm, in scenarios with leaks 25 mm to a radius of 1.1 meters and in scenarios with leakage of 100 mm to a radius of 39 meters. The maximum intensity of flash fire in the initial point Scenario 5 mm was 4.2 kW/m2, in the scenario of radiation leakage was 25 mm at the distance to 5 meters from the fire intensity up to maximum of 9 kW/m2, and also in the scenario with 100 mm flash fire radiation leak at an earlier point fire was 14 kW/m2. The maximum intensity of thermal radiation at the distance to 5 meters up to 16.5 kW/m2, and maximum distance of 80 meters around the reservoir affected. The mortality rate of flash fire has exposed employees, was 50 percent.
 

Conclusion: Many accidents caused by leakage and explosion were due to corrosion, spoil tanks and equipment, and the majority of such accidents can be prevented by technical inspections and continuous audits.

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Introduction: Risk assessment is a main tool in safety management process as it can help managers to choose corrective actions by providing appropriate information. The purpose of this paper was to select the optimal corrective actions among the proposed ones by the experts based on mathematical modeling, taking into account the standards and also the limitations including the cost.

Material and Method: In this paper, a model was presented to find the optimal corrective actions regarding the organization goals (maximum in risk reduction value) and the limitations such as cost and level of acceptable risk. Due to extensive number of solutions, Genetic Algorithm (GA) is used for solving the problem.

Result: To show the capability of this method in an industrial environment, a power generation industry with 40 hazards was considered as the case study. Then, the risk of hazards was estimated and corrective actions were determined for each of them. Using the proposed model, corrective actions were selected optimally, with the least possible cost; all risks were reduced below the level of organizational acceptable risk.

Conclusion: It was shown that the optimal corrective actions using mathematical modeling are selected with high precision in acceptable time. This method is suggested as an alternative for conventional qualitative methods based on expert’s opinions.

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Introduction: Construction industry plays a major role in the economic development of all countries and among the various occupations, this industry is one of the most dangerous industries, particularly respiratory contaminants, around the world. The aim of this study was to evaluate the respiratory capacity of construction workers, working in different workshops in Tehran city and developing a regression model to examine the relationship between pulmonary capacities with the type of occupation, work experience and tobacco smoking.
Material and Method: This study was a cross-sectional descriptive study conducted among 628 construction workers in Tehran city in 2017. After data collection, data analyses were performed using statistical independent t-test, one way ANOVA and correlation tests by SPSS software version 22. Also, multiple backward regression was used to check the effect of independent variables on lung function.  
Result: According to the results of this study, a significant relationship was found between age and work history with the pulmonary function indexes (FVC, FEV1, FEV1/FVC and FEF25-75%) (P-value<0.001). The average of FEV1/FVC% was significantly different among various occupational groups (p-value<0.001). In the analysis of the findings of the pulmonary function test in the exposed group a separate model was made using multiple linear regression for each of the pulmonary functions, and the independent variables including age, work experience, job type and cigarette addiction were entered into the model.
Conclusion: The present study showed a significant change in the pulmonary function parameters of the construction workers and the chance of pulmonary disorders might be high among these individuals.

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Introduction: The most common of farmers' occupational exposure is exposure to pesticides. Organophosphate pesticides (OP) are widely used in agriculture to control pests. The main mechanism of Organophosphates (OPs) toxicity is irreversibly inhibiting of Butyl cholinesterase and acetyl cholinesterase. POEM model (Predictive Operator Exposure Model) was made to assess exposure and absorption of the pesticides. The aim of this study was to estimate the rate of exposure of farmers in West of Iran to organophosphates with POEM model and to compare its results with activity level of plasma cholinesterase (PChE).
Methods and Materials: In this descriptive and analytical research, farmers were divided into two same groups who were exposed to diazinon. One group of them wore full personal protective equipment (PPEs) and the second group including farmers with daily routine work had no proposed personal protective equipment. Before and after spraying operation, a blood sample was collected from both groups of farmers, as well as from control group. Then plasma cholinesterase activity was measured by DGKC (German Biochemical Society) and photometric device. Farmer’s exposure to OPs was estimated with POEM model.
Results: The activity mean PChE enzyme in the groups with and without personal protective equipment was 11639.3 mg/l and 8516.3 mg/l, respectively. The mean of predicted total absorbed dose and predicted total exposure to toxic substance in group with PPEs was 9.1 mg/day and 0.15 mg/kgbw/day, respectively and in group with PPEs were 0.5 mg/day and 0.009 mg/kgbw/day, respectively. dermal exposure average, percentage of dermal absorption, absorbed dose at the time of preparing the poison solution and spraying, by using of the POEM model was significantly higher in the no PPE group than in the PPE group (P<0.001).
Conclusion: This study showed that the use of personal protective equipment prevents from the effects appearing of pesticides by reducing the activity of PChE. With the increasing in PChE activity, the values of POEM model parameters decreases such as the absorbed dose of the skin and the inhalation of the toxin. Therefore, the POEM model can be used to check the exposure of people with pesticides. Finally, this study suggests that from the POEM model can be considered as a screening tool to identify individuals at exposure of pesticides to the next steps for biological monitoring, diagnosis and treatment and … .

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Introduction: The respiratory system, one of the most important organs of the body, can be affected by adverse effects, disorders and consequences in the workplace. Spirometry is one of the most important screening and testing tools in the periodic medical examination of every employee. This study was aimed to evaluate the factors affecting the respiratory function of staff of Tehran University of Medical Sciences (TUMS).
Material and Methods: This descriptive-analytical and cross-sectional study carried out on 300 employees of TUMS according on during the enrollment phase of the Tehran University of Medical Sciences employee’s cohort (TEC) study was in order to survey the parameters affecting pulmonary function. Demographic data were collected through a demographic questionnaire. Spirometry was used to evaluate respiratory function parameters and bioelectric impedance was used to analyze body composition. Data analysis was performed by SPSS software version 25. Two-sample t-test, one-way ANOVA, and Pearson correlation coefficient were used for statistical analysis. Multiple linear regression was used to determine the effect of independent variables on the parameters of pulmonary function.
Results: It was found that 73.6% of the subjects had a normal lung pattern, 7% had an obstructive pattern, 14.7% had a threatening pattern and 4.7% had a mixed pattern. There was a significant negative correlation between FVC and FEV1 parameters and smoking (P-value <0.05). There was also a significant relationship between FFM, age and BMI with FEV1/FVC (P-value <0.05). Similarly, there was a meaningful relationship between type of job and FVC parameter (P-value <0.05). The findings showed that the highest and the lowest averages of all parameters of pulmonary function was in administrative and occupational services, public and technical services and facilities, security and guard, respectively.
Conclusion: In the present study, it was found that occupation type affects lung function due to exposure to contaminants in different groups. Other factors affecting lung function included age, body mass index, fat mass, fat free mass and smoking. Therefore, changing lifestyle such as proper diet, regular exercise and not smoking can be an effective step towards improving the parameters of lung function.

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Introduction: Comprehensive and reliable performance evaluation of organizations has always been one of the main concerns of stakeholders and managers of organizations. Performance evaluation can raise awareness of the progress made in improving the performance of any organizations, especially in the field of health, safety, and environment (HSE) and thus, create the necessary motivation and opportunity to improve the quality of HSE performance. National quality awards and excellence approaches emphasizes the fact that survival in global competition requires improving the performance of organizations on a global scale. The EFQM enterprise excellence model, as a comprehensive tool with a comprehensive approach to all aspects of organizations, helps managers to understand their organization well.
Material and Methods: This study was conducted in Tehran Industrial Group in 2018, during which the performance of this industrial group in the design and construction of one of the dams in the south of the country was evaluated and analyzed. The data collection tool was a standard self-assessment questionnaire based on the EFQM enterprise excellence model, the validity and reliability of which was tested by Cronbach’s alpha coefficient at 0.971.
Results: In terms of “enablers” criteria, the leadership dimension, with a score of 76.36, obtained the best percentage of scores, while the processes criterion with a score of 72.04 had the lowest percentage of scores. This dimension, along with staff, resources, and partnership dimensions, needs to be improved. In the field of “results” criteria, the key performance results with 79.77 points had the best percentage and the customer result dimension with a score of 69.13 had the lowest, indicating that the organization should improve these sectors.
Conclusion: The results indicated the suitable status of the organization in terms of the criteria of excellence model. The results of this model are generally used for systematic analysis of the organization in order to achieve a comprehensive view of the organization and its challenges.