Association of Non-Organizational Factors and Occupational Accidents: A Field Study based on Structural Equation Modeling

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 expertschr('39') panel was 37.52±2.73 and 9.90±3.18 years, respectively. The Cronbachchr('39')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.