Repository of Research and Investigative Information

Repository of Research and Investigative Information

Larestan University of Medical Sciences

Structural Equation Modeling Modeling (SEM) of Occupational Accidents Size Based on Risk Management Factors; A Field Study in Process Industries

(2019) Structural Equation Modeling Modeling (SEM) of Occupational Accidents Size Based on Risk Management Factors; A Field Study in Process Industries. Health Scope. p. 7. ISSN 2251-8959

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Abstract

Background: Due to high risks for occupational accidents, process industries are one of the most dangerous industries around the world. Accidents' size in these industries are influenced by combination of different factors. Objectives: The present study aimed at analyzing and modeling occupational accidents' size and investigating the role of different risk management factors on accidents' size in process industries. Methods: This analytical study was carried out on accidents in ten process industries, including petrochemicals, refineries, and chemical industries during eight years (2008 to 2 015). Studied data were included variables and factors of risk management systems and information about human injuring accidents. Data analysis and modeling were done based on feature selection by Pearson chi(2) coefficient and structural equation modeling (SEM) approach using statistical software of IBM SPSS AMOS v22.0. Results: Lost working days (LWD) as index of accident size was estimated 197.42 +/- 111.06 days. Results of feature selection and SEM approach showed that LWD was affected by different factors such as safety and health (S and H) training, risk management, and risk control, and its indicator variables (P < 0.05). Conclusions: The findings implied that structural equation modeling is a reliable and applicable accidents analysis method. Furthermore, the results should be considered to prevent and reduce occupational accidents' size in process industries.

Item Type: Article
Keywords: Occupational Accident Risk Management Factor Analysis severity rate Public, Environmental & Occupational Health
Divisions: Education Vice-Chancellor Department > Faculty of Health > Department of Environmental Health Engineering
Page Range: p. 7
Journal or Publication Title: Health Scope
Journal Index: ISI
Volume: 8
Number: 1
Identification Number: https://doi.org/10.5812/jhealthscope.62380
ISSN: 2251-8959
Depositing User: خانم موهبت شیوخی
URI: http://eprints.larums.ac.ir/id/eprint/177

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