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Peer-reviewedCC BY-NC-NDArchives of public health = Archives belges de sante publique

Occupational injury patterns in a hospital-based cross-sectional study in Türkiye: sectoral characteristics, injury profiles, and determinants of multiple injuries (2019-2023).

  1. 1Department of Forensic Medicine, Ordu University Training and Research Hospital, Ordu, Türkiye. [email protected].
  2. 2Department of Forensic Medicine, Ordu University Training and Research Hospital, Ordu, Türkiye.

Abstract

Background

Occupational accidents remain a major public health and economic burden, particularly in middle-income countries. While healthcare workers and high-energy industrial sectors are often examined separately, hospital-based injury data derived from forensic medical records provide a structured opportunity to compare sector-specific injury patterns within a unified analytical framework.Methods

This retrospective hospital-based cross-sectional study included all occupational injury cases presenting to a tertiary emergency department and systematically documented through forensic medical records between 2019 and 2023 (n = 402). Sociodemographic characteristics, sector, accident mechanism, injury location, and injury count were analysed. Associations were assessed using chi square tests and Cramérs V. Independent predictors of multiple injuries were examined using binary logistic regression, and sector- and mechanism-specific within-sample relative risks were calculated.Results

The study population was predominantly male (66.9%) and young (45.5% aged 18-29 years). Construction, healthcare, and logistics were the most represented sectors. Physical trauma accounted for 95.3% of cases, while infectious exposure risk was identified in 21.4%, mainly from needlestick injuries and body-fluid splashes in healthcare. Multiple injuries occurred in 35.8% of cases and were disproportionately concentrated in high-energy sectors, including electrical-mechanical work (OR = 44.43; 95% CI = 3.72-531.12), manufacturing (OR = 12.82; 95% CI = 2.91-56.50), construction (OR = 4.64; 95% CI = 1.58-13.62), and logistics. Traffic incidents and falls were the strongest contributors to multi-region trauma. Upper-extremity injuries, particularly hand and finger trauma, predominated in healthcare workers, mainly nurses and healthcare technicians, and were more frequent among females.Conclusions

Among workers presenting to a single tertiary hospital, injury patterns differed by sector, with infectious exposure predominating in healthcare and high-energy mechanisms in industrial sectors. These within-sample patterns identify potential targets for sector-specific prevention; however, without workforce denominators, they do not establish which sectors or age groups carry the highest injury risk, and broader prioritization requires population-level evidence.

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BibTeX
@article{aydogan2026occupational,
  title = {{Occupational injury patterns in a hospital-based cross-sectional study in Türkiye: sectoral characteristics, injury profiles, and determinants of multiple injuries (2019-2023).}},
  author = {Halit Canberk Aydogan and Zeynep Unat Öztürk and Hacer Yaşar Teke},
  journal = {Archives of public health = Archives belges de sante publique},
  year = {2026},
  month = oct,
  doi = {10.1186/s13690-026-02121-9},
  url = {https://europepmc.org/article/MED/42902414},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Occupational injury patterns in a hospital-based cross-sectional study in Türkiye: sectoral characteristics, injury profiles, and determinants of multiple injuries (2019-2023).
AU  - Halit Canberk Aydogan
AU  - Zeynep Unat Öztürk
AU  - Hacer Yaşar Teke
PY  - 2026
DA  - 2026/10/20
JO  - Archives of public health = Archives belges de sante publique
DO  - 10.1186/s13690-026-02121-9
UR  - https://europepmc.org/article/MED/42902414
AB  - Background  Occupational accidents remain a major public health and economic burden, particularly in middle-income countries. While healthcare workers and high-energy industrial sectors are often examined separately, hospital-based injury data derived from forensic medical records provide a structured opportunity to compare sector-specific injury patterns within a unified analytical framework.Methods  This retrospective hospital-based cross-sectional study included all occupational injury cases presenting to a tertiary emergency department and systematically documented through forensic medical records between 2019 and 2023 (n = 402). Sociodemographic characteristics, sector, accident mechanism, injury location, and injury count were analysed. Associations were assessed using chi square tests and Cramérs V. Independent predictors of multiple injuries were examined using binary logistic regression, and sector- and mechanism-specific within-sample relative risks were calculated.Results  The study population was predominantly male (66.9%) and young (45.5% aged 18-29 years). Construction, healthcare, and logistics were the most represented sectors. Physical trauma accounted for 95.3% of cases, while infectious exposure risk was identified in 21.4%, mainly from needlestick injuries and body-fluid splashes in healthcare. Multiple injuries occurred in 35.8% of cases and were disproportionately concentrated in high-energy sectors, including electrical-mechanical work (OR = 44.43; 95% CI = 3.72-531.12), manufacturing (OR = 12.82; 95% CI = 2.91-56.50), construction (OR = 4.64; 95% CI = 1.58-13.62), and logistics. Traffic incidents and falls were the strongest contributors to multi-region trauma. Upper-extremity injuries, particularly hand and finger trauma, predominated in healthcare workers, mainly nurses and healthcare technicians, and were more frequent among females.Conclusions  Among workers presenting to a single tertiary hospital, injury patterns differed by sector, with infectious exposure predominating in healthcare and high-energy mechanisms in industrial sectors. These within-sample patterns identify potential targets for sector-specific prevention; however, without workforce denominators, they do not establish which sectors or age groups carry the highest injury risk, and broader prioritization requires population-level evidence.
SN  - 0778-7367
SN  - 2049-3258
ER  -