| Literature DB >> 31509996 |
Ju-Yeun Lee1, Sung-Il Cho2,3.
Abstract
We assessed the risk of fatal occupational injuries among migrant workers with two different types of employment permits in South Korea. This observational study used national data from January 2007 to September 2018 and analyzed 42,089 cases of occupationally injured migrant workers of Chinese nationality. Fatality rates were analyzed according to year, sex, age, occupation, industry, and type of employment permit. Chinese workers were permitted to work for one employer and prohibited from changing employers, whereas Korean-Chinese workers were permitted to change their employer. The adjusted fatality rate of occupational injuries of Chinese migrant workers was significantly higher (1.80-fold, 95% confidence interval 1.31-2.46) than that of Korean-Chinese migrant workers. The prohibition on changing workplaces; male sex; age ≥ 45 years; machine operator; construction industry; and agriculture, livestock, and fisheries industry were risk factors for fatal occupational injuries. The results imply a need for revision of the migrant-worker employment permit systems and implementation of occupational safety and health policies for all workers to promote health equity.Entities:
Keywords: fatality; migrant worker; occupational injury; occupational safety and health; risk factor; workplace change
Mesh:
Year: 2019 PMID: 31509996 PMCID: PMC6766071 DOI: 10.3390/ijerph16183333
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Selection of the study population.
FROI a according to subjects’ characteristics (n = 42,089).
| Variables | Total | FROI a | ||||
|---|---|---|---|---|---|---|
|
| % |
| % | |||
| 42,089 | 100.00 | 686 | 1.63 | |||
|
| 0.97 | |||||
| Korean-Chinese | 32,987 | 78.37 | 538 | 1.63 | ||
| Chinese | 9102 | 21.63 | 148 | 1.63 | ||
|
| <0.01 | |||||
| 2007–2009 | 7515 | 17.86 | 174 | 2.32 | ||
| 2010–2011 | 14,765 | 35.08 | 250 | 1.69 | ||
| 2012–2018 | 19,809 | 47.06 | 262 | 1.32 | ||
|
| <0.01 | |||||
| Female | 7875 | 18.71 | 38 | 0.48 | ||
| Male | 34,214 | 81.29 | 648 | 1.89 | ||
|
| <0.01 | |||||
| 15–28 | 2130 | 5.06 | 16 | 0.75 | ||
| 29–36 | 5134 | 12.20 | 62 | 1.21 | ||
| 37–44 | 8307 | 19.74 | 110 | 1.32 | ||
| 45–53 | 13,737 | 32.64 | 234 | 1.70 | ||
| 54–81 | 12,781 | 30.37 | 264 | 2.07 | ||
|
| <0.01 | |||||
| Manager & Service worker | 9248 | 21.97 | 84 | 0.91 | ||
| ALF b worker | 516 | 1.23 | 9 | 1.74 | ||
| Machine operator | 15,665 | 37.22 | 367 | 2.34 | ||
| Elementary worker | 16,660 | 39.58 | 226 | 1.36 | ||
|
| <0.01 | |||||
| Manufacturing | 16,845 | 40.02 | 186 | 1.10 | ||
| Construction | 13,873 | 32.96 | 380 | 2.74 | ||
| ALF b | 1166 | 2.77 | 26 | 2.23 | ||
| Service | 6772 | 16.09 | 45 | 0.66 | ||
| Others | 3433 | 8.16 | 49 | 1.43 | ||
|
| <0.01 | |||||
| Head & Neck | 4703 | 11.17 | 346 | 7.36 | ||
| Extremity | 31,542 | 74.94 | 30 | 0.10 | ||
| Trunk | 5031 | 11.95 | 99 | 1.97 | ||
| Whole body | 813 | 1.93 | 211 | 25.95 | ||
Note: All p-values were from chi-squared tests. a Fatality Rate of Occupational Injury, b Agriculture, Livestock and Fisheries.
Mechanisms of deaths due to occupational injuries according to subjects’ characteristics (n = 686).
| Variables | Collision | Cuts | Suffocation | Rolling/Jamming | Others | Total | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % |
| % |
| % | ||
|
| 0.04 | ||||||||||||
| Korean-Chinese | 278 | 51.77 | 101 | 18.81 | 61 | 11.36 | 33 | 6.15 | 65 | 11.92 | 538 | 78.43 | |
| Chinese | 75 | 50.68 | 23 | 15.54 | 30 | 20.27 | 9 | 6.08 | 11 | 7.43 | 148 | 21.57 | |
|
| 0.06 | ||||||||||||
| Manager & Service worker | 44 | 52.38 | 11 | 13.10 | 19 | 22.62 | 3 | 3.57 | 7 | 8.33 | 84 | 12.24 | |
| ALF a worker | 4 | 44.44 | 1 | 11.12 | 4 | 44.44 | 0 | 0.00 | 0 | 0.00 | 9 | 1.31 | |
| Machine operator | 184 | 50.14 | 66 | 17.98 | 50 | 13.62 | 25 | 6.81 | 42 | 11.44 | 367 | 53.50 | |
| Elementary worker | 121 | 53.54 | 46 | 20.35 | 18 | 7.96 | 14 | 6.19 | 27 | 11.96 | 226 | 32.94 | |
|
| <0.01 | ||||||||||||
| Manufacturing | 71 | 38.17 | 40 | 21.51 | 25 | 13.44 | 29 | 15.59 | 21 | 11.29 | 186 | 27.11 | |
| Construction | 222 | 58.42 | 67 | 17.63 | 39 | 10.26 | 6 | 1.58 | 46 | 12.11 | 380 | 55.39 | |
| ALF a | 13 | 50.00 | 4 | 15.38 | 7 | 26.93 | 2 | 7.69 | 0 | 0.00 | 26 | 3.79 | |
| Service | 17 | 37.78 | 6 | 13.33 | 13 | 28.89 | 1 | 2.22 | 8 | 17.78 | 45 | 6.56 | |
| Others | 30 | 61.22 | 7 | 14.29 | 7 | 14.29 | 4 | 8.16 | 1 | 2.04 | 49 | 7.14 | |
a Agriculture, Livestock and Fisheries. All p-values were from chi-squared or Fisher’s exact tests.
FROI a of Korean-Chinese and Chinese migrant workers (n = 42,089).
| Variables | Korean-Chinese ( | Chinese ( | |||||
|---|---|---|---|---|---|---|---|
|
| Death | FROI a (%) |
| Death | FROI a (%) | ||
|
| 0.08 | ||||||
| Female | 6114 | 26 | 0.43 | 1761 | 12 | 0.68 | |
| Male | 26,873 | 512 | 1.91 | 7341 | 136 | 1.85 | |
|
| <0.01 | ||||||
| 2007–2009 | 5109 | 105 | 2.06 | 2406 | 69 | 2.87 | |
| 2010–2011 | 12,205 | 221 | 1.81 | 2560 | 29 | 1.13 | |
| 2012–2018 | 15,673 | 212 | 1.35 | 4136 | 50 | 1.20 | |
|
| <0.01 | ||||||
| 15–28 | 873 | 1 | 0.11 | 1257 | 15 | 1.19 | |
| 29–36 | 3653 | 39 | 1.07 | 1481 | 23 | 1.55 | |
| 37–44 | 6282 | 78 | 1.24 | 2025 | 32 | 1.58 | |
| 45–53 | 11,552 | 192 | 1.66 | 2185 | 42 | 1.92 | |
| 54–81 | 10,627 | 228 | 2.15 | 2154 | 36 | 1.67 | |
|
| <0.01 | ||||||
| Manager & Service worker | 7415 | 68 | 0.92 | 1833 | 16 | 0.87 | |
| ALF b worker | 359 | 5 | 1.39 | 157 | 4 | 2.55 | |
| Machine operator | 12,531 | 288 | 2.30 | 3134 | 79 | 2.52 | |
| Elementary Worker | 12,682 | 177 | 1.40 | 3978 | 49 | 1.23 | |
|
| <0.01 | ||||||
| Manufacturing | 12,533 | 143 | 1.14 | 4312 | 43 | 1.00 | |
| Construction | 11,413 | 298 | 2.61 | 2460 | 82 | 3.33 | |
| ALF b | 931 | 21 | 2.26 | 235 | 5 | 2.13 | |
| Service | 5334 | 35 | 0.66 | 1438 | 10 | 0.70 | |
| Others | 2776 | 41 | 1.48 | 657 | 8 | 1.22 | |
|
| <0.01 | ||||||
| Head & Neck | 3720 | 282 | 7.58 | 983 | 64 | 6.51 | |
| Extremity | 24,493 | 24 | 0.10 | 7049 | 6 | 0.09 | |
| Trunk | 4148 | 79 | 1.90 | 883 | 20 | 2.27 | |
| Whole body | 626 | 153 | 24.44 | 187 | 58 | 31.02 | |
a Fatality Rate of Occupational Injury, b Agriculture, Livestock and Fisheries, All p-values were from chi-squared test.
Figure 2Group and year interaction odds ratio plot.
Odds ratios for fatality rate of occupational injuries between Korean-Chinese and Chinese migrant workers by models.
| Variables | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|
| OR a | 95% CI b | OR a | 95% CI b | OR a | 95% CI b | |
|
| ||||||
| Korean-Chinese | 1.00 | - | 1.00 | - | 1.00 | - |
| Chinese | 1.22 | 1.01–1.47 * | 1.18 | 0.97–1.42 | 1.80 | 1.31–2.46 *** |
|
| ||||||
| 2007–2009 | 1.00 | - | 1.00 | - | ||
| 2010–2011 | 0.70 | 0.57–0.86 *** | 0.85 | 0.67–1.09 | ||
| 2012–2018 | 0.48 | 0.39–0.58 *** | 0.57 | 0.45–0.72 *** | ||
|
| ||||||
| Chinese * (2007–2009) | 1.00 | - | ||||
| Chinese * (2010–2011) | 0.45 | 0.27–0.74 ** | ||||
| Chinese * (2012–2018) | 0.58 | 0.37–0.90 * | ||||
|
| ||||||
| Female | 1.00 | - | 1.00 | - | 1.00 | - |
| Male | 2.86 | 1.96–4.01 *** | 2.80 | 1.95–4.00 *** | 2.81 | 1.96–4.02 *** |
|
| ||||||
| 15–28 | 1.00 | - | 1.00 | - | 1.00 | - |
| 29–36 | 1.49 | 0.87–2.63 | 1.49 | 0.85–2.59 | 1.46 | 0.84–2.54 |
| 37–44 | 1.52 | 0.90–2.61 | 1.46 | 0.86–2.50 | 1.45 | 0.85–2.47 |
| 45–53 | 2.06 | 1.20–3.40 ** | 2.03 | 1.21–3.41 ** | 2.01 | 1.19–3.37 ** |
| 54–81 | 2.47 | 1.42–3.99 ** | 2.54 | 1.51–4.26 *** | 2.53 | 1.50–4.24 *** |
|
| ||||||
| Manager & Service worker | 1.00 | - | 1.00 | - | 1.00 | - |
| ALF c worker | 0.75 | 0.34–1.65 | 0.78 | 0.35–1.73 | 0.79 | 0.36–1.75 |
| Machine operator | 1.38 | 1.00–1.88 * | 1.35 | 0.99–1.85 | 1.37 | 1.00–1.87 |
| Elementary worker | 0.79 | 0.56–1.09 | 0.78 | 0.56–1.08 | 0.79 | 0.56–1.10 |
|
| ||||||
| Service | 1.00 | - | 1.00 | - | 1.00 | - |
| Manufacturing | 1.10 | 0.71–1.70 | 1.06 | 0.69–1.64 | 1.06 | 0.68–1.63 |
| Construction | 2.40 | 1.56–3.68 *** | 2.48 | 1.62–3.80 *** | 2.46 | 1.61–3.76 *** |
| ALF c | 2.13 | 1.21–3.77 ** | 1.96 | 1.10–3.50 * | 1.92 | 1.08–3.44 * |
| Others | 1.34 | 0.84–2.14 | 1.26 | 0.78–2.02 | 1.24 | 0.77–2.00 |
Note: Estimates were obtained by logistic regression with logit as a binomial link function. Model 1 was adjusted for sex, age, occupation, and industry. Model 2 added year to Model 1 for confounding factors. Model 3 showed interactions between group and year variables. a OR: Odds Ratio, b CI: Confidence Interval, c Agriculture, Livestock and Fisheries, * p < 0.05, ** p < 0.01, *** p < 0.001.