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Investigating the Effect of Emotional Intelligence Components on Driving Errors
Akram Heidaryan, Iraj Alimohamadi, Mr Shahram Vosoughi, Mrs Jamile Abolghasemi,
Volume 4, Issue 2 (April 2020)
Abstract
Background: Driving accidents are global challenges, especially in developing countries, that have been introduced by the World Health Organization (WHO) as one of the significant reasons for endangering human health. The most important reasons for driving accidents are the behavior and psychological characteristics of the vehicle driver. Aberrant driving behavior is considered as a major cause of driving accidents. The present study aimed the present study aimed to investigate the effect of emotional intelligence on driving errors. Methods: In the present research, 69 young students aged 20-35 years with a driving license were subjects of the study which had at least one-year driving experience and were assessed with the use of Bar-on emotional intelligence (EQ-i) questionnaire (90 questions) and valid Manchester Driving Behavior Questionnaire (MDBQ). Data analysis was conducted by SPSS version 20, descriptive tables, and Pearson correlation coefficient. Results: Data analysis indicated that the mean score of emotional intelligence of the tested subjects was 329/62, and the maximum rating of individual errors was related to slips with the score of 21/04. Also, the mean score of their driving behavior was 50/97. There was a significant inverse relation between sub-components problem solving, independence and self-actualization, and driving errors. Conclusion: Based on the obtained results of this study, it can be concluded that emotional intelligence and its components affected driving errors. This meant that persons with lower levels of emotional intelligence would be more involved in driving errors.
 
Ergonomic Assessment of Working Postures Using NERPA and REBA Methods (Case Study: Abadan Oil Refinery)
Rohadin Moradi Rad, Shahram Vosough, Sakineh Mahdavi ,
Volume 4, Issue 3 (july 2020)
Abstract
Background: Improper posture is recognized as one of the risk factors in musculoskeletal disorders. So, operational postures assessment is required to correct undesirable postures and reduce musculoskeletal disorders. This study was conducted to specify the risk level of working postures utilizing REBA (Rapid Entire Body Assessment) and NERPA (Novel Ergonomic Postural Assessment) method and determining its relationship with the occurrence of musculoskeletal disorders in the operational occupations of Abadan Oil Refining Company. Methods: The current study was a cross-sectional and descriptive-analytical study. Using the Cochran formula, 315 of the operational employees of the Abadan Oil Refining Company were studied. Data were gathered by the methods of REBA and NERPA and analyzed using SPSS 20 and statistical tests. The statistical test of the Pearson correlation coefficient was applied to determine the correlation between the results of REBA and NERPA methods. The confidence level of 95% was taken into consideration. Results: Based on the results obtained from REBA method, the highest frequency percentage in the risk level of postural analysis was attributed to 206 subjects (65.4%) in the medium level, 88 subjects (27.9%) in the low level, and 20 subjects (6.3%) in the high level. Regarding the results obtained from NERPA method, the highest frequency percentage in the risk level of postural analysis was attributed to 158 subjects (50.2%) in the high level, 134 subjects (42.5%) in the medium level and 23 subjects (7.3%) were in the very high level. The statistical test results revealed that a statistically significant relationship was observed between the mean score of REBA and NERPA (P<0.001). Conclusion: This study's results declared that the NERPA method, by regarding the domain and angles of motion more than the REBA posture assessment, investigated the musculoskeletal health and was more worker-oriented.
 
Study of Biomechanical Risk Factors for Musculoskeletal Disorders in the Bakery Business Based on ART and OCRA Index
Mohammad Hossein Beheshti, Mostafa Jafarizaveh, Seyyed Ehsan Samaei, Shahram Vosoughi, Maryam Borhani Jebeli, Ghasem Zia,
Volume 5, Issue 2 (April 2021)
Abstract
Background:Bakery workers, Beacause of their nature, are at risk of musculoskeletal disorders caused by ergonomic factors. The purpose of this study was to evaluate the biomechanical risk factors for musculoskeletal disorders in bakery workers. Methods: In the current study, all tasks of sangak, taftoon, and lavash bakery in Gonabad were selected based on the census method. Next, Hierarchical Task Analysis (HTA) method was used for task analysis, and the job was degraded to tasks, actions, and movements. For the following step, the ART and OCRA method was implemented to identify common risk factors in repetitive tasks that can contribute to developing musculoskeletal disorders of upper limbs. Analysis of the results in this study was performed using SPSS 17. Results: According to the results study, the ART and OCRA index score for shater and chonegir tasks for all three kinds of bakeries is at high risk (red zone). In ART index score of arm movements, repetition, force, head/neck posture, and back posture for shater and choonegir task in lavash and taftoon bakery and shater task in sangak bakery is in its maximum levels. This reflects the level of red risk and indicates that in these tasks, fast arm movements, repetition, force, head/neck posture, and back posture are recognized as major occupational risk factors in these tasks. Conclusion: The results showed that the risk of musculoskeletal disorders owing to repetitive tasks is relatively high in the bakery and ergonomic interventions are required to redesign the job. This study shows the use of the ART method as a practical, applicable, easy, and convenient method for evaluation and ergonomics interventions in repetitive work tasks.

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