| Literature DB >> 24373156 |
Kaan Celik, Fevzi Yilmaz, Cemil Kavalci1, Miray Ozlem, Ali Demir, Tamer Durdu, Bedriye Müge Sonmez, Muhittin Serkan Yilmaz, Muhammed Evvah Karakilic, Engin Deniz Arslan, Cihat Yel.
Abstract
INTRODUCTION AND AIM: Each year, a significant number of people die or become handicapped due to preventable occupational accidents or occupational diseases. The aim of this study was to investigate socio-demographic features, mechanism, causes, injury area, and sectoral features of occupational accidents in patients presented to our department.Entities:
Year: 2013 PMID: 24373156 PMCID: PMC3884008 DOI: 10.1186/1749-7922-8-57
Source DB: PubMed Journal: World J Emerg Surg ISSN: 1749-7922 Impact factor: 5.469
Demographic characteristics according to gender
| | ||||||
|---|---|---|---|---|---|---|
| | | | ||||
| Age (mean ± year) | | 611 | 32.9 ± 9.7 | 43 | 32.8 ± 9 | 0.934 |
| Working experience (years) | 0-1 | 131 | 96.3 | 5 | 3.7 | |
| | 1-5 | 297 | 92.2 | 25 | 7.8 | |
| | 5-10 | 79 | 91.9 | 7 | 8.1 | 0.366 |
| | 10+ | 104 | 94.5 | 6 | 5.5 | |
| Mechanism | Machine Induced Hand Trauma | 60 | 93.8 | 4 | 6.2 | |
| | Glass Cut | 43 | 89.6 | 5 | 10.4 | |
| | Penetrating or Sharp Object Trauma | 112 | 99.1 | 1 | 0.9 | |
| | Blunt Object Trauma | 150 | 94.9 | 8 | 5.1 | 0.04 |
| | Foreign Object | 11 | 100 | 0 | 0 | |
| | Squeezing | 35 | 100 | 0 | 0 | |
| | Falls | 139 | 89 | 17 | 11 | |
| | Burns | 44 | 91.7 | 4 | 8.3 | |
| | Electric Injury | 13 | 86.7 | 2 | 13.3 | |
| | İntoxication | 4 | 93.6 | 2 | 6.6 | |
| Trauma region | Head & Neck | 59 | 95.2 | 3 | 4.8 | |
| | Face | 25 | 100 | 0 | 0 | |
| | Thorax | 5 | 83.3 | 1 | 16.7 | |
| | Abdomen | 1 | 100 | 0 | 0 | |
| | Pelvis | 3 | 75 | 1 | 25 | 0.141 |
| | Arm-Shoulder | 70 | 93.3 | 5 | 6.7 | |
| | Hand-Finger | 264 | 95.7 | 12 | 4.3 | |
| | Lower Extremity | | 90 | | 10 | |
| | Skin | 22 | 84.6 | 4 | 15.4 | |
| Back-Vertebrae | 27 | 87.1 | 4 | 12.9 | ||
Figure 1Distribution of cases by age range.
Figure 2Monthly distribution of occupational accidents.
Relationship between sectoral distribution and education level
| | | | | ||
|---|---|---|---|---|---|
| Industry | 35 | 75 | 60 | 0 | p < 0.001 |
| Manufacturing | 11 | 16 | 36 | 4 | p < 0.001 |
| Building | 45 | 88 | 54 | 1 | p < 0.001 |
| Food | 18 | 27 | 29 | 1 | p < 0.001 |
| Service | 6 | 8 | 23 | 11 | p < 0.001 |
| Agriculture | 2 | 1 | 1 | 0 | p < 0.05 |
| Transportation | 5 | 5 | 15 | 0 | p < 0.001 |
| Woodwork | 9 | 25 | 15 | 0 | p < 0.001 |
| Electricity | 0 | 1 | 10 | 1 | p < 0.001 |
| Other | 3 | 5 | 6 | 2 | p < 0.001 |
| Total | 134 | 251 | 249 | 20 | p < 0.001 |
Figure 3Hourly distribution of occupational accidents.
The distribution of occupational accidents by inury type
| 238 | 36.4 | |
| 152 | 23.2 | |
| 51 | 7.8 | |
| 66 | 10.1 | |
| 77 | 11.8 | |
| 48 | 7.3 | |
| 10 | 1.5 | |
| 1 | 0.2 | |
| 8 | 1.2 | |
| 3 | 0.5 | |
| 654 | 100 |
Distrubition of ISS score and cost according to sector
| Industry | 1427.5 ± 3443 | p < 0.01 | 11.83 ± 9.2 | p < 0.001 |
| Manufacturing | 732.16 ± 1657.2 | 8.26 ± 6.1 | ||
| Building | 2836.44 ± 14039.7 | 9.17 ± 8 | ||
| Food | 1547.68 ± 6055.3 | 7.82 ± 6.3 | ||
| Service | 739.3 ± 2184.7 | 7.22 ± 5.3 | ||
| Agriculture | 870.5 ± 651.6 | 15.75 ± 10.8 | ||
| Transportation | 2077.32 ± 5997.2 | 9.2 ± 8.3 | ||
| Woodwork | 1458.06 ± 2677.8 | 10.51 ± 6.7 | ||
| Electricity | 1523.08 ± 2805.5 | 17.25 ± 15.3 | ||
| Other | 591.37 ± 574.1 | 10.18 ± 6.9 | ||
| Total | 1729.57 ± 8178.3 | 9.79 ± 8.1 |