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Showing 4 results for Accidents
The relationship between occupational stress and health consequences among the workers in regards with the perceived organizational support
Fariba Kiani, Tayebe Rahimi Pordanjani, Ali Mohamadzadeh Ebrahimi,
Volume 6, Issue 1 (6-2018)
Abstract
Background: The majority of research have led to interventions such as stress management design and have neglected the role of psychosocial factors in occupational stress. The aim of current research was to the relationship between occupational stress and health consequences among the workers in regards with the perceived organizational support.  
Methods: 211 individuals of Isfahan Steel Company were selected according to the stratified random sampling method and completed questionnaires about demography characteristics, Occupational stress, incident reporting rate and perceived organizational support. The collected data were analyzed by descriptive index and multiple regression analysis using SPSS18.
Results: Results showed that there were significant relationships among perceived organizational support, Occupational stress and incident reporting rate (P<0.05).  Also, hierarchy regression analysis showed that the relationship between Occupational stress and incident reporting rate was partially mediated by perceived organizational support (P<0.05).
Conclusion: The results of this study indicate that perceived organizational support can modify the relationship between occupational stress and involvement in work accidents, and as a result, employees are less involved in risk behaviors and accidents are less caused by occupational stress.

Analysis of Occupational Accidents Based on the Human Factors Analysis and Classification System (HFACS): A Case Study in a Copper Mine
Amin Amiri Ebrahimabadi, Ahmad Soltanzadeh, Samira Ghiyasi,
Volume 8, Issue 1 (5-2020)
Abstract

Background and Aim: Occupational accidents are recognized as one of the major concerns in the mining industry. The purpose of this study was to analyze the incidence of occupational accidents in a mine for 10 years using Human Factor Analysis and Classification System (HFACS).
Method: This cross-sectional study was carried out on 664 mining accidents during 2009-2018. The tools used in this study included accident reporting checklists, human factors analysis and classification system (HFACS), and a team approach to analyze these accidents. Data analysis was performed using IBM SPSS AMOS v. 23.0.
Results: The accident frequency rate (AFR) was 15.10±3.34. The results of 10-years accident analysis in this mine based on HFACS model showed that the highest contribution of each parameter to the four layers including unsafe acts, preconditions for unsafe acts, unsafe supervision and organizational influences were respectively devoted to perceptual error (64.4%), Physical environment (29.5%), inadequate supervision (59.6%), and organizational process (65.6%). The results of structural equation modeling showed that the AFR is directly and indirectly affected by the layers of the HFACS model (P<0.05). The most significant impact on the AFR was related to the unsafe acts layer.
Conclusion: The findings of this study indicated that all four causal layers of human factors were effective in mine accidents, in addition the HFACS model is highly effective for unsafe acts-based accidents analysis, so it can be used for future planning to reduce accidents in the mining sector.


Develop and Validity Operator Room Risk-taking Questionnaire with Event-related Potentials
Omid Kalatpour, Rashid Heidarimoghadam, Iraj Mohammadfam, Maryam Farhadian, Mohammad Reza Tavakkol,
Volume 10, Issue 2 (9-2022)
Abstract
Objectives: Risk-taking is a personality trait which plays a part in the occurrence of work-related accidents. For this reason, people who are highly risk-taking whose decision might cause accident should not be employed in critical situations. The purpose of this survey was to design and verify the validity of the risk tolerance questionnaire, suitable for control room operators, through examining the event related potential (ERP).
Methods: At first, the questions were selected from reliable scientific resources based on the conceptual model. The questions of the initial questionnaire were selected based on face validity, and then the questionnaire was filled out by 178 control room operators. At the next step, the best questions of the questionnaire were extracted using exploratory factor analysis (EFA). In terms of reliability, 42 individuals of the study group refilled in the questionnaire again after three months as a test-retest. The ERPs were assessed using electroencephalography along with Balloon Analogue Risk Task (BART). The correlation coefficient calculated between the ERPs, and risky behaviors, and questionnaire scores.
Results: One factor and 13 questions were identified as the best questions regarding EFA. Cronbach's alpha was 0.91. The Spearman correlation coefficient was calculated between the questionnaire score and risk-taking behavior as well as between the questionnaire score and P300, which was 0.38 (P = 0.01, η2 = 0.70) and 0.63 (P = 0.01, η2 = 0.99), respectively.
Conclusion: The Operator control Room Risk-Taking (ORTQ) questionnaire consists of 13 questions which can be used as an appropriate tool to assess the risk-taking trait in control room operators and also for research purposes. This questionnaire has got three personality dimensions including risk-taking nature, impulsivity and venturesomeness.

Investigating the Effectiveness of Safety Interventions to Reduce Traffic Accidents in Pregnant Women: A Systematic Review
Maryam Afshari, Mehdi Kangavari, Farogh Mohammadian, Shahnaz Maleki, Farideh Kazemi,
Volume 11, Issue 2 (9-2023)
Abstract
Objectives: Traffic accidents are one of the leading causes of death among pregnant women. One of the investment for maternal and neonatal health is targeted interventions to increase maternal safety to prevent traffic accidents. Therefore, this study was conducted with the aim of identifying and categorizing different types of safety interventions to reduce traffic accidents among pregnant women.
Methods: The study was a systematic review. Intervention articles were searched from Persian databases, such as Magiran, Iran Medex and SID and English scientific information databases, such as PubMed, Cochrane, Sciencedirect, Embase, Science of Web and Scopus. All identified articles were collected by one person using Endnote software. The full text of the articles was then reviewed by two researchers and the articles that met the entry criteria were identified. Other articles were added to the previous collection of articles using Forward Citation and Backward Citation Reviews. The EPHPP instrument was used to assess the quality of the studies.
Results: The initial search resulted in finding 5329 article abstracts. Finally, two intervention studies were selected for evaluation in this study. One study used an educational/behavioral approach and the other used an engineering/approach. Both studies reported that they had produced significant changes in the desired outcome of seatbelt use in pregnant women. The quality of one study was rated as poor and the other as moderate.
Conclusion: Safety interventions to reduce traffic accidents among pregnant women have been tested only to a very limited extent worldwide. It seems that there is still much room for study in the field of safety interventions to reduce traffic accidents among pregnant women.

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