Evidence map›Paper›PMID 42902414›Full record

ArticleArchives of public health = Archives belges de sante publique2026

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

Halit Canberk Aydogan, Zeynep Unat Öztürk, Hacer Yaşar Teke

Abstract read
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Article in Archives of public health = Archives belges de sante publique, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Halit Canberk AydoganDepartment of Forensic Medicine, Ordu University Training and Research Hospital, Ordu, Türkiye. drcanberkaydogan@gmail.com.ORCID http://orcid.org/0000-0001-7861-4297
Zeynep Unat ÖztürkDepartment of Forensic Medicine, Ordu University Training and Research Hospital, Ordu, Türkiye.
Hacer Yaşar TekeDepartment of Forensic Medicine, Ordu University Training and Research Hospital, Ordu, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational 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.

methodsThis 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.

resultsThe 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.

conclusionsAmong 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.

Indexed as

Accident PreventionForensic MedicineMultiple TraumaOccupational InjuriesRisk Assessment

Identifiers

PMID42902414
PMCPMC13685222

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.