Volume 10, Issue 1 (Winter 2021)                   J Occup Health Epidemiol 2021, 10(1): 31-38 | Back to browse issues page

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Farahbod H, Ghiyasi S, Soltanzadeh A. Association of Non-Organizational Factors and Occupational Accidents: A Field Study based on Structural Equation Modeling. J Occup Health Epidemiol 2021; 10 (1) :31-38
URL: http://johe.rums.ac.ir/article-1-422-en.html

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1- MSc in Health, Safety, Environment (HSE), Dept. of Health, Safety, and Environment, Faculty of Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran.
2- Assistant Prof., Dept. of Environmental Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran. , s.ghiasi@iauctb.ac.ir
3- Assistant Prof., Dept. of Occupational Safety & Health Engineering, Research Center for Environmental Pollutants, Faculty of Health, Qom University of Medical Sciences, Qom, Iran.
Article history
Received: 2021/02/7
Accepted: 2021/04/26
ePublished: 2021/06/21
Abstract:   (1836 Views)

Background: Non-organizational or non-occupational factors are among the most important risk factors that significantly influence the emergence of occupational accidents. This study aimed to investigate the association between non-organizational factors and occupational accidents.
Materials and Methods: In this descriptive study the structural equation modeling was applied on the data that was collected using a self-developed questionnaire. The random selected sample (n=360) included damaged people referred to the emergency department in Tehran province for treatment during a five-year period (2019-2015). The data analysis was carried out using IBM SPSS AMOS v. 23.0. The goodness of fit indices, including χ2/df, RMSEA, GFI, CFI, NFI, and TLI, were evaluated.
Results: The mean age and work experience of the experts' panel was 37.52±2.73 and 9.90±3.18 years, respectively. The Cronbach's alpha coefficient of the non-organizational factors of occupational accidents was calculated as 0.86. Generally, 35.3% of accidents were due to slip and fall, as well as falling the heavy object with 24.1%. The non-organizational index was estimated at 2.95. The factor analysis findings showed a statistically significant association between the non-organizational factors and the occupational accidents (p<0.05).
Conclusion: The results showed a reverse and significant association between the index of non-organizational factors with the title and type of accidents, cause of accidents, type of outcome or damage caused by accidents, and time of accident occurrence. Additionally, this index indicated a direct significant association with the gender, age, work experience, education, marital status, and the type of shift work schedule of the affected people.

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