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Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries

BACKGROUND: Individual and organizational factors are the factors influencing traumatic occupational injuries. OBJECTIVES: The aim of the present study was the short path analysis of the severity of occupational injuries based on individual and organizational factors. MATERIALS AND METHODS: The pres...

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Autores principales: Mohammadfam, Iraj, Soltanzadeh, Ahmad, Moghimbeigi, Abbas, Akbarzadeh, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079064/
https://www.ncbi.nlm.nih.gov/pubmed/27800465
http://dx.doi.org/10.5812/atr.33595
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author Mohammadfam, Iraj
Soltanzadeh, Ahmad
Moghimbeigi, Abbas
Akbarzadeh, Mehdi
author_facet Mohammadfam, Iraj
Soltanzadeh, Ahmad
Moghimbeigi, Abbas
Akbarzadeh, Mehdi
author_sort Mohammadfam, Iraj
collection PubMed
description BACKGROUND: Individual and organizational factors are the factors influencing traumatic occupational injuries. OBJECTIVES: The aim of the present study was the short path analysis of the severity of occupational injuries based on individual and organizational factors. MATERIALS AND METHODS: The present cross-sectional analytical study was implemented on traumatic occupational injuries within a ten-year timeframe in 13 large Iranian construction industries. Modeling and data analysis were done using the structural equation modeling (SEM) approach and the IBM SPSS AMOS statistical software version 22.0, respectively. RESULTS: The mean age and working experience of the injured workers were 28.03 ± 5.33 and 4.53 ± 3.82 years, respectively. The portions of construction and installation activities of traumatic occupational injuries were 64.4% and 18.1%, respectively. The SEM findings showed that the individual, organizational and accident type factors significantly were considered as effective factors on occupational injuries’ severity (P < 0.05). CONCLUSIONS: Path analysis of occupational injuries based on the SEM reveals that individual and organizational factors and their indicator variables are very influential on the severity of traumatic occupational injuries. So, these should be considered to reduce occupational accidents’ severity in large construction industries.
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spelling pubmed-50790642016-10-31 Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries Mohammadfam, Iraj Soltanzadeh, Ahmad Moghimbeigi, Abbas Akbarzadeh, Mehdi Arch Trauma Res Research Article BACKGROUND: Individual and organizational factors are the factors influencing traumatic occupational injuries. OBJECTIVES: The aim of the present study was the short path analysis of the severity of occupational injuries based on individual and organizational factors. MATERIALS AND METHODS: The present cross-sectional analytical study was implemented on traumatic occupational injuries within a ten-year timeframe in 13 large Iranian construction industries. Modeling and data analysis were done using the structural equation modeling (SEM) approach and the IBM SPSS AMOS statistical software version 22.0, respectively. RESULTS: The mean age and working experience of the injured workers were 28.03 ± 5.33 and 4.53 ± 3.82 years, respectively. The portions of construction and installation activities of traumatic occupational injuries were 64.4% and 18.1%, respectively. The SEM findings showed that the individual, organizational and accident type factors significantly were considered as effective factors on occupational injuries’ severity (P < 0.05). CONCLUSIONS: Path analysis of occupational injuries based on the SEM reveals that individual and organizational factors and their indicator variables are very influential on the severity of traumatic occupational injuries. So, these should be considered to reduce occupational accidents’ severity in large construction industries. Kowsar 2016-06-14 /pmc/articles/PMC5079064/ /pubmed/27800465 http://dx.doi.org/10.5812/atr.33595 Text en Copyright © 2016, Kashan University of Medical Sciences http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
spellingShingle Research Article
Mohammadfam, Iraj
Soltanzadeh, Ahmad
Moghimbeigi, Abbas
Akbarzadeh, Mehdi
Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries
title Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries
title_full Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries
title_fullStr Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries
title_full_unstemmed Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries
title_short Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries
title_sort modeling of individual and organizational factors affecting traumatic occupational injuries based on the structural equation modeling: a case study in large construction industries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079064/
https://www.ncbi.nlm.nih.gov/pubmed/27800465
http://dx.doi.org/10.5812/atr.33595
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