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Examining the effect of safety climate on accident risk through job stress: a path analysis
BACKGROUND: Job stress is a probable mediator of the relationship between safety climate and accident occurrence. To demonstrate this, this study investigates the relationship between safety climate, job stress, and accident risk using a large number of surveys. The study will use structural equatio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064501/ https://www.ncbi.nlm.nih.gov/pubmed/36997982 http://dx.doi.org/10.1186/s40359-023-01133-2 |
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author | Khoshakhlagh, Amir Hossein Sulaie, Saleh Al Yazdanirad, Saeid Park, JeeWoong |
author_facet | Khoshakhlagh, Amir Hossein Sulaie, Saleh Al Yazdanirad, Saeid Park, JeeWoong |
author_sort | Khoshakhlagh, Amir Hossein |
collection | PubMed |
description | BACKGROUND: Job stress is a probable mediator of the relationship between safety climate and accident occurrence. To demonstrate this, this study investigates the relationship between safety climate, job stress, and accident risk using a large number of surveys. The study will use structural equation modeling (SEM) to analyze the data collected from the surveys to examine the effect of safety climate on accident risk through job stress. METHODS: The study is a cross-sectional study that was conducted on 1,530 male workers of a petrochemical company. The subjects were asked to complete several questionnaires during rest periods, which included demographic information, the Nordic safety climate questionnaire (NOSACQ-50), and the generic job stress questionnaire (GJSQ). Additionally, data on the frequency and intensity of accidents among participants were gathered from the health unit of the company. Path analysis was conducted by structural equation modeling (SEM) in Analysis of Moment Structures (AMOS) software. RESULTS: The results revealed that the latent variable of safety climate with an effect coefficient of – 0.112 did not have a direct effect on accident risk (P = 0.343). However, safety climate with an effect coefficient of − 0.633 had an indirect effect on accident risk through job stress (P < 0.001). The total score of job stress had a significant direct effect (0.649) on accident risk (P < 0.001). Among the dimensions of safety climate, the variables of management’s safety priority, commitment, and competence (− 0.108) and workers’ safety commitment (− 0.107) had the highest indirect effect coefficients on accident risk. Among the dimensions of job stress, the highest indirect effects belonged to the variables of conflict at work (0.636), physical environment (0.631), and workload and responsibility (0.631), respectively. CONCLUSION: The results of the study revealed that job stress mediates the relationship between safety climate and accident risk. This finding suggests that organizations can potentially decrease accidents in industries by addressing and managing job stress in the workplace. |
format | Online Article Text |
id | pubmed-10064501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100645012023-04-01 Examining the effect of safety climate on accident risk through job stress: a path analysis Khoshakhlagh, Amir Hossein Sulaie, Saleh Al Yazdanirad, Saeid Park, JeeWoong BMC Psychol Research BACKGROUND: Job stress is a probable mediator of the relationship between safety climate and accident occurrence. To demonstrate this, this study investigates the relationship between safety climate, job stress, and accident risk using a large number of surveys. The study will use structural equation modeling (SEM) to analyze the data collected from the surveys to examine the effect of safety climate on accident risk through job stress. METHODS: The study is a cross-sectional study that was conducted on 1,530 male workers of a petrochemical company. The subjects were asked to complete several questionnaires during rest periods, which included demographic information, the Nordic safety climate questionnaire (NOSACQ-50), and the generic job stress questionnaire (GJSQ). Additionally, data on the frequency and intensity of accidents among participants were gathered from the health unit of the company. Path analysis was conducted by structural equation modeling (SEM) in Analysis of Moment Structures (AMOS) software. RESULTS: The results revealed that the latent variable of safety climate with an effect coefficient of – 0.112 did not have a direct effect on accident risk (P = 0.343). However, safety climate with an effect coefficient of − 0.633 had an indirect effect on accident risk through job stress (P < 0.001). The total score of job stress had a significant direct effect (0.649) on accident risk (P < 0.001). Among the dimensions of safety climate, the variables of management’s safety priority, commitment, and competence (− 0.108) and workers’ safety commitment (− 0.107) had the highest indirect effect coefficients on accident risk. Among the dimensions of job stress, the highest indirect effects belonged to the variables of conflict at work (0.636), physical environment (0.631), and workload and responsibility (0.631), respectively. CONCLUSION: The results of the study revealed that job stress mediates the relationship between safety climate and accident risk. This finding suggests that organizations can potentially decrease accidents in industries by addressing and managing job stress in the workplace. BioMed Central 2023-03-30 /pmc/articles/PMC10064501/ /pubmed/36997982 http://dx.doi.org/10.1186/s40359-023-01133-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Khoshakhlagh, Amir Hossein Sulaie, Saleh Al Yazdanirad, Saeid Park, JeeWoong Examining the effect of safety climate on accident risk through job stress: a path analysis |
title | Examining the effect of safety climate on accident risk through job stress: a path analysis |
title_full | Examining the effect of safety climate on accident risk through job stress: a path analysis |
title_fullStr | Examining the effect of safety climate on accident risk through job stress: a path analysis |
title_full_unstemmed | Examining the effect of safety climate on accident risk through job stress: a path analysis |
title_short | Examining the effect of safety climate on accident risk through job stress: a path analysis |
title_sort | examining the effect of safety climate on accident risk through job stress: a path analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064501/ https://www.ncbi.nlm.nih.gov/pubmed/36997982 http://dx.doi.org/10.1186/s40359-023-01133-2 |
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