ehsan asivandzadeh

The present study explored whether emotional intelligence and social cognitive variables were related to risky driving behavior (speed and lane deviations). Driving behavior is considered a key predictive factor in road traffic accidents. The sample comprised 75 adults aged between 20- 30 years (M = 26.80, SD = 3.175) with a valid driver’s license. The emotional intelligence was assessed by the self-report Bar-on Emotional Quotient Inventory (EQ-i) and driving behavior was measured using a driving simulator. Different driving behaviors, including speed and lane deviations, were recorded. The objective data obtained from the simulator were compared with the scores obtained from the EQ. The spearman correlations revealed that age, driving experience, and accident cases were related to the driving behavior. There was a significant negative relationship between the average speed on roads with all of the emotional intelligence subscales, except for assertiveness (r=.448), whose correlation was found to be positive. The lane deviation score showed a significant negative relationship with the subscales of emotional intelligence except for assertiveness (r=.873). In order to facilitate safer behaviors in traffic and reduce the number of accidents, it is recommended to develop programs for changing the attitude of those road users who are more likely to engage in risky behavior and encouraging safe and responsible drivers.

disregarding safety requirements has made accidents of workshop mobile cranes as one of the main factors of injuries and death in civil-industrial projects. Since safety culture considered one of the most important activist indices while investigating the commitment of superior managers and other members of the organization to regard safety requirements, the present study aims at investigating the organization’s safety culture in civil and industrial projects and its relationship with regarding safety requirements of mobile cranes.

the current study is descriptive-analytical and cross-sectional research conducted within 7 civil-industrial projects from 2018 to 2019. To investigate satisfaction levels of safety requirements, 141cranes have been used through a 72-item researcher-made checklist adapted from ASME B30.5 2018 standard and protective regulation of transportation vehicles and moving materials and objects of workshops. The research team has confirmed the validity and reliability of the checklist with CVR=0.68, CVI=0.82, and Cronbach’s alpha=α-0.90. To estimate safety culture levels 677 individuals of staff such as cranes operator, technician, expert, minor managers, middle managers, and superior managers have participated in this study through random sampling method, interview, and completion of safety culture questionnaire. To analyze data Kolmogorov-Smirnov tests, one way ANOVA and linear regression utilizing SPSS v25 have been employed (P-value < 0.05).

age average of study individuals equaled with 39.8 and average of their work experiences equaled with 12.29. Results out of this study revealed that there is a positive and meaningful relationship between organizations’ safety culture and consideration levels of safety requirements in mobile cranes. So that parameter of management commitment (0.001), safety preference degree (0.004), staff training (0.012) and information exchange level (0.041) have the most relationship with consideration levels of safety requirements. But there was no meaningful relationship between work conditions and consideration levels of safety requirements (0.075).

based on results of this study it seems that accidents resultant from mobile cranes occur more in uncommitted organizations so it is important to develop organizations’ safety culture through performance of academic interventions and inform organizations’ staff especially superior management and consequently increase the safety factor of mobile cranes in civil-industrial projects.

Operators of construction vehicles are constantly exposed to whole body vibration, which can lead to musculoskeletal disorders. The aim of present study was to evaluate the impact of exposure to whole body vibration in operators and its relation to musculoskeletal disorders. This study is a descriptive-analytical study. Using easy sampling, 89 operators from 6 types of heavy vehicles (Bulldozer, Tipper Truck, Heavy Vibrator Roller, Light Vibrator Roller, Pecker and Loader) were included in two construction projects. To evaluate exposure to whole body vibration, different vibration indices (effective acceleration, peak factor and vibrational dose) were measured according to ISO 2631 and SVAN 958 vibrometer. The Body Map Questionnaire was used to assess the musculoskeletal disorders. Data were analyzed using Kolmogorov-Smirnov tests, one-way ANOVA, Pearson correlation and multivariate regression (significance level less than 0.05). The results of this study showed that exposure to whole body vibration in Bulldozer (2.25 m/s2), Tipper Truck (0.98 m/s2), Heavy Vibration Rollers (3.20 m/s2), Light Vibration Rollers (3.45 m/s2) Pecker (4.11 m/s2) and Loader (1.2 m/s2) are more than the daily exposure to OEL. There was a significant and direct relationship between exposure to vibration, underlying factors and musculoskeletal disorders. The present study confirms the potential health hazards for operators of construction vehicles. Therefore, engineering and management controls are recommended, including installation of appropriate vibration insulators on seats, training courses, changing jobs of individuals with a long exposure to vibration, rotating work schedules, using gloves, flooring and vibration damping pads and create monitoring protocols on work.

Traffic violations and aggression are often regarded as social phenomena with important social and economic consequences. The present study investigated the potential contribution of demographic variables, driving anger and aggression on predicting aggressive driving behavior. The sample population consisted of 168 male drivers with an age range of 19–30 years old and the average driving experience of 9 years. All participants filled out the self-reported scales that assess driving anger, aggression dimension, and driving behaviors. Based on the participants' responses to the trait-anger dimensions in Spielberger State-Trait Anxiety Inventory, they were re-categorized in three driving anger categories of high-trait-anger, medium-trait-anger, and low-trait-anger. All of the participants had a driving certificate. The main results of this research indicate that: (1) for almost all variables, the effect of anger was significant; (2) anger situation had a contribution in the prediction of lapse, errors, and violations; (3) demographic variables, driving anger, and aggression were all involved in predicting driving behavior in a complementary manner; and (4) aggression was the best predictor of violations. Future research is recommended to continue to investigate the effect of various environmental, social, psychological, and personality factors on risky driving behaviors in order to identify treatment and prevention strategies for this societal concern.

Noise is considered as a risk factor for a wide range of industrial environments, including construction industry. The aim of this study was to determine the relationship between job stress due to noise exposure with sleep disturbance. This descriptive-analytic study was carried out among 134 workers of one of the construction industry in the country. For assessment of noise exposure of individuals, in accordance with ISO 9612: 2009 was measured by the occupational exposure level of 8 hours. To assess occupational stress, the Parker Job Stress Questionnaire and Epworth's (Epworth) Questionnaire were used to assess sleep disturbance. Data were analyzed using Kolmogorov-Smirnov test, Pearson correlation test and multivariate regression in SPSS version 23 software. The results of Pearson correlation test and multivariate regression showed that noise can cause sleep disturbance by causing occupational stress in workers. Based on the results of this study, noise exposure, occupational stress and sleep disturbance have a direct and positive relationship. With increasing in noise exposure, occupational stress and sleep disturbance also increases.

Assessing the noise exposure of workers in the construction industry has shown that noise is a very important factor in the psychological problems of workers in this industry. In addition to the direct effects of noise on sleep disturbance, it can indirectly exacerbate sleep disturbances. This article confirms the necessity to pay attention to the conditions of this work group.

Musculoskeletal disorders (MSDs) are among the most common occupational disorders. WMSDs are known as an influential factor in work productivity. Also, the safety climate plays an important role in the occupational health of individuals. The purpose of this study was to investigate the relationships between WMSDs, work productivity and safety climate. This quantitative, theoretical and descriptive study was performed on 344 employees. The samples were randomly selected. Data were gathered by means of the Body Map, Safety Climate, and Work Productivity questionnaires. This study was conducted on different types of jobs from three types of industries. STATISTICA software was used for all data analyses (SPSS Version 23) with a significant level of P <0.01. One-way analysis of variance was used to examine the significant differences between industries and jobs, which indicated that there is a statistically significant difference. Correlations between the WMSDs, work productivity, and safety climate was tested using the parametric Pearson correlation coefficient that showed a significant negative correlation between WMSDs with work productivity and safety climate. Positive correlations were found between safety climate and work productivity. In general, safety climate and work productivity are important for the health and safety of employees, and this study showed that it might be also important for employees in construction industries.

Work-related musculoskeletal disorders (WMSDs) have been documented in various occupational groups in Iran. However, there is a gap in the studies regarding the prevalence of WMSDs, occupational stress, and general health in workers. The present study aimed to investigate the correlations between WMSDs, occupational stress, and general health. This cross-sectional study was conducted on 455 workers selected from various industries in 10 cities in Iran. Data were collected using self-reported measures to evaluate the body map, HSE management standards indicator tool, and general health questionnaire (GHQ). In total, 455 questionnaires were completed and analyzed. The mean differences were compared using the Kruskal-Wallis test. The results of Spearman's correlation-coefficient indicated a significant, positive correlation between WMSDs and occupational stress. In addition, negative correlations were observed between general health, WMSDs, and occupational stress. Some of the recommendations based on the findings are modifying the workplaces of individuals who perform long-term, static tasks, periodic identification of the individuals with musculoskeletal problems and taking measures to correct their posture, designing proper physical exercises for the individuals with hard work postures, and cognitive-behavioral education to raise awareness regarding the complications of mental health problems.

The noise caused by traffic is an increasingly prominent feature of urban environments. However, limited studies have been focused on the assessment of exposure-response relationship between road traffic noise exposure and driving behaviors in Iran. The present study aimed to investigate the prevalence of the violations caused by road traffic noise exposure in Qazvin, Iran. Initially, a line with 70 taxi drivers was selected for the evaluation of noise exposure. According to ISO9612:2009, the eight-hour equivalent noise level [Leq8h] was measured during a workday. In addition, driving behaviors were assessed using the self-report Iranian version of Manchester driving behavior questionnaire (MDBQ). Statistical analysis included the mean, standard deviation, minimum and maximum, Pearson’s correlation-coefficient, and logistic regression. The results of Pearson’s correlation-coefficient indicated a strong correlation with noise levels and personal characteristics with driving behaviors (P < 0.05). Moreover, logistic regression showed that noise level was significantly associated with the components of driving behaviors. According to the results, traffic noise exposure is a significant influential factor in the increased rate of driving violations. Equivalent sound pressure level in taxies was observed to be above of the limit for occupational comfort based on NR 17 standard, which may affect driving behaviors.

Safety training, as one of the safety interventions, is believed to be an antecedent of safety climate and safety performance improvement within organizations. The aim of this study is to assess the impact of training and technical interventions to provide healthy safety climate in the workplace. In this interventional study, 480 workers of different job groups in construction Company were entered the study. Data were collected using demographic, safety climate and safety performance questionnaires. Questionnaires were completed at three stages including before the intervention, one month after the first intervention and one month after the second intervention (four months after the first intervention). Data were analyzed by paired t-test, one-way analysis of variance and bonferroni test using SPSS23 software. The findings of this study revealed that there was a significant improvement in all safety training impact subscales indicating that employees promoted their safety performance. The findings of this study also revealed significant improvements in the safety climate, indicating that the training role has been viewed as crucial in improving and supporting employees’ and organization’s safety. Overall, the current study has gone some way towards enhancing our understanding of safety training impacts and its influence on safety climate, particularly with regard to the improvement of safety performance. The need for further research to investigate the effectiveness of specific safety training intervention with the addition of motivational factors, and its relation to safety climate over a period of time in various industries, remain crucial.

Speeding and deviation to the left and right are the most notable and important causes of injuries that caused by traffic accidents in most countries. Injuries caused by these events are so great that it will be remembered as a war on the road. Due to the importance of the relation between aggression, errors and violations, this study aimed to investigate the relationship of aggressive driving and the average of driving speed and lane deviations. in the present study, 75 taxi drivers completed the Spielberger State-Trait Anger Inventory. Assessing the dimensions of aggression performed by car driving simulator. Using SPSS (V:22) ,descriptive tables and Spearman correlation coefficient data were analyzed. The findings showed that there was a significant direct relation between all aspects of aggression and the average and maximum of speeding and lane deviations, So that aggressive drivers drove with high speeds and were more willing to shift to the left and right. Aggression is considered as one of the important factor affecting to increase the average speed and lane deviations

Exposure to road - traffic noise commonly engenders annoyance, the extent of which is determined by factors not fully understood. Our aim was to estimate the prevalence and determinants of road - traffic noise annoyance in taxi drivers in Qazvin.
Material and This study was performed on 98 drivers of a selected route in Qazvin (all married). Equivalent noise levels [Leq (dB A)] were measured during day and evening in all streets of the route. According to ISO 9612: 2009, 8 h equivalent noise level [Leq8h (dB A)] were measured. Noise annoyance was estimated using self - reported annoyance scale.
Noise annoyance showed strong correlation with noise levels and personal characteristics. The strongest correlation was found between the percentage of highly annoyed drivers and evening noise level (OR = 2.4). Logistic regression model identified increased risk for a high level of noise annoyance with regard to: age (OR = 0.95), smoking habit (OR = 1.9), educational status (OR = 0.026) and driving experience (OR = 2.1).
A considerable proportion of taxi drivers are highly annoyed by road - traffic noise, and perceive it to be a significant health risk. Knowledge of health risks of road - traffic noise, are associated with noise annoyance. There is necessity to establish an acceptable level of exposure noise for taxi drivers.