Modeling factors affecting the susceptibility of construction workers to accidents using structural equation model

Aim: Identifying the factors affecting the susceptibility to accident aiming to reach a better understanding of this phenomenon and review preventive strategies is of the utmost consequence. The present study was carried out with the aim to model the factors affecting the susceptibility of construct...

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Main Authors: Yahya Safaei, Habibollah Dehghan, Samane Khorshidikia, Ehsanollah Habibi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2023-01-01
Series:International Journal of Environmental Health Engineering
Subjects:
Online Access:http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=28;epage=28;aulast=Safaei
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author Yahya Safaei
Habibollah Dehghan
Samane Khorshidikia
Ehsanollah Habibi
author_facet Yahya Safaei
Habibollah Dehghan
Samane Khorshidikia
Ehsanollah Habibi
author_sort Yahya Safaei
collection DOAJ
description Aim: Identifying the factors affecting the susceptibility to accident aiming to reach a better understanding of this phenomenon and review preventive strategies is of the utmost consequence. The present study was carried out with the aim to model the factors affecting the susceptibility of construction workers to an accident using the structural equation model. Materials and Methods: This research was of cross-sectional type which was conducted on 200 people in one of the construction sectors in one of the oil refineries from 2020 to 2021. Participants were divided into accident and nonaccident groups. Data were collected using demographic questions contained in 11 questionnaires in three individual, organizational, and social areas. SPSS and PLS-SEM software were also used for statistical analysis and modeling. Results: There was a significant relationship between the two groups in the final score of accident susceptibility, individual personality in the field of openness, and safety culture in the field of work environment (P < 0.05). The findings showed that job stress has a direct relationship with accident proneness and individual factors and social factors have an inverse relationship with accident proneness. Conclusion: After juxtaposing the data, in addition to identifying people with higher accident susceptibility, it can be concluded that industry managers should take into account the background and influencing factors which affect this variable to lessen the accidents. The managers are also requested to improve working conditions, provide the workers with more training, and examine individual and social factors in addition to taking safety measures.
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spelling doaj.art-167be9b0a2a74c8aa5fc5bfb28aed91a2024-03-25T11:02:42ZengWolters Kluwer Medknow PublicationsInternational Journal of Environmental Health Engineering2277-91832023-01-01121282810.4103/ijehe.ijehe_26_22Modeling factors affecting the susceptibility of construction workers to accidents using structural equation modelYahya SafaeiHabibollah DehghanSamane KhorshidikiaEhsanollah HabibiAim: Identifying the factors affecting the susceptibility to accident aiming to reach a better understanding of this phenomenon and review preventive strategies is of the utmost consequence. The present study was carried out with the aim to model the factors affecting the susceptibility of construction workers to an accident using the structural equation model. Materials and Methods: This research was of cross-sectional type which was conducted on 200 people in one of the construction sectors in one of the oil refineries from 2020 to 2021. Participants were divided into accident and nonaccident groups. Data were collected using demographic questions contained in 11 questionnaires in three individual, organizational, and social areas. SPSS and PLS-SEM software were also used for statistical analysis and modeling. Results: There was a significant relationship between the two groups in the final score of accident susceptibility, individual personality in the field of openness, and safety culture in the field of work environment (P < 0.05). The findings showed that job stress has a direct relationship with accident proneness and individual factors and social factors have an inverse relationship with accident proneness. Conclusion: After juxtaposing the data, in addition to identifying people with higher accident susceptibility, it can be concluded that industry managers should take into account the background and influencing factors which affect this variable to lessen the accidents. The managers are also requested to improve working conditions, provide the workers with more training, and examine individual and social factors in addition to taking safety measures.http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=28;epage=28;aulast=Safaeiaccident pronenessaccidentjob stresssafety management
spellingShingle Yahya Safaei
Habibollah Dehghan
Samane Khorshidikia
Ehsanollah Habibi
Modeling factors affecting the susceptibility of construction workers to accidents using structural equation model
International Journal of Environmental Health Engineering
accident proneness
accident
job stress
safety management
title Modeling factors affecting the susceptibility of construction workers to accidents using structural equation model
title_full Modeling factors affecting the susceptibility of construction workers to accidents using structural equation model
title_fullStr Modeling factors affecting the susceptibility of construction workers to accidents using structural equation model
title_full_unstemmed Modeling factors affecting the susceptibility of construction workers to accidents using structural equation model
title_short Modeling factors affecting the susceptibility of construction workers to accidents using structural equation model
title_sort modeling factors affecting the susceptibility of construction workers to accidents using structural equation model
topic accident proneness
accident
job stress
safety management
url http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=28;epage=28;aulast=Safaei
work_keys_str_mv AT yahyasafaei modelingfactorsaffectingthesusceptibilityofconstructionworkerstoaccidentsusingstructuralequationmodel
AT habibollahdehghan modelingfactorsaffectingthesusceptibilityofconstructionworkerstoaccidentsusingstructuralequationmodel
AT samanekhorshidikia modelingfactorsaffectingthesusceptibilityofconstructionworkerstoaccidentsusingstructuralequationmodel
AT ehsanollahhabibi modelingfactorsaffectingthesusceptibilityofconstructionworkerstoaccidentsusingstructuralequationmodel