Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 15, Issue 1 (Winter 2026)
J Occup Health Epidemiol 2026, 15(1): 56-66 |
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Pylaeva I, Podshivalova M. Occupational Accidents in an Industrial City: Are Causative Agents’ Employee- and Employer-Related?. J Occup Health Epidemiol 2026; 15 (1) :56-66
URL: http://johe.rums.ac.ir/article-1-1114-en.html
URL: http://johe.rums.ac.ir/article-1-1114-en.html
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1- Ph.D. in Economics, Freelance researcher, Chelyabinsk, Russia. , irenpylaeva74@gmail.com
2- Ph.D. in Economics, Department of Economics and Finance, South Ural State University, Chelyabinsk, Russia.
2- Ph.D. in Economics, Department of Economics and Finance, South Ural State University, Chelyabinsk, Russia.
Article history
Received: 2025/09/20
Accepted: 2025/12/21
ePublished: 2026/03/30
Accepted: 2025/12/21
ePublished: 2026/03/30
Subject:
Occupational Health
Abstract: (13 Views)
Background: The causes of occupational accidents have been widely examined from different perspectives; however, little is known about the specifics of such accidents in the Russian industry. Therefore, this study aimed to identify these specifics and compare them with global patterns.
Materials and Methods: This study analysed 165 officially documented cases of severe and fatal occupational accidents that occurred in the utilities, manufacturing, and construction industries in a Russian industrial city between 2018 and 2021. Structural analysis, cross-tabulation analysis, and binary regression models were used to identify potentially high-risk groups, focusing on two main categories of accident causes: employee-related and employer-related. Sociodemographic and accident characteristics were also analysed.
Results: The general distribution of injury mechanisms (collapses, contacts, and falls) and factors associated with accident severity (night and Saturday shifts and occupations in energy provision) were consistent with international patterns. Night and weekend shifts, as well as energy-provision occupations, significantly increased the odds of fatal accidents. Technical causes were statistically associated with fatal accidents in both the industrial sector overall and the manufacturing industry. Workers with ≥15 years of experience had higher odds of employer-related injuries, whereas accidents involving employees aged ≥61 years were more often attributed to employee behaviour.
Conclusions: The findings identify high-risk worker groups and may help improve occupational safety practices in Russian industry. Closer supervision of high-risk groups (core-age workers, night/weekend shifts, and workers with >15 years of experience), mandatory training for new employees, and proactive safety measures for an aging workforce are recommended.
Keywords: Occupational Injuries [MeSH], Logistic Models [MeSH], Wounds and Injuries [MeSH], Industry [MeSH], Accident Prevention [MeSH]
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