| Literature DB >> 26366418 |
Carlos Humberto Torres Rey1, Milciades Ibañez Pinilla1, Leonardo Briceño Ayala1, Diana Milena Checa Guerrero2, Gloria Morgan Torres3, Helena Groot de Restrepo4, Marcela Varona Uribe1.
Abstract
In Colombia, coal miner pneumoconiosis is considered a public health problem due to its irreversibility, high cost on diagnosis, and lack of data related to its prevalence in the country. Therefore, a cross-sectional study was carried out in order to determine the prevalence of pneumoconiosis in underground coal mining workers in two regions of Colombia. The results showed a 35.9% prevalence of pneumoconiosis in the study group (42.3% in region 1 and 29.9% in region 2). An association was found between a radiologic diagnosis of pneumoconiosis and a medium risk level of exposure to carbon dust (OR: 2.901, 95% CI: 0.937, 8.982), medium size companies (OR: 2.301, 95% CI: 1.260-4.201), length of mining work greater than 25 years (OR: 3.222, 95% CI: 1.806-5.748), and a history of smoking for more than one year (OR: 1.479, 95% CI: 0.938-2.334). These results establish the need to generate an intervention strategy aimed at preventing the identified factors, as well as a timely identification and effective treatment of pneumoconiosis in coal miners, in which the commitment of the General Health and Social Security System and the workers compensation system is ensured.Entities:
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Year: 2015 PMID: 26366418 PMCID: PMC4558432 DOI: 10.1155/2015/647878
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Population and sample distribution by department.
| Department | Population | Sample | ||
|---|---|---|---|---|
|
Number of | Number of | Number of | Number of | |
| Boyacá | 305 | 8667 | 18 | 232 |
| Cundinamarca | 161 | 5711 | 11 | 215 |
| Total |
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Distribution of sociodemographic characteristics by department.
| Cundinamarca | Boyacá | Total | ||||
|---|---|---|---|---|---|---|
| Number | % | Number | % | Number | % | |
| Age group | ||||||
| 20–29 | 10 | 4.7 | 35 | 15.1 | 45 | 10.1 |
| 30–39 | 49 | 22.8 | 71 | 30.6 | 120 | 26.8 |
| 40–49 | 73 | 34.0 | 75 | 32.4 | 148 | 33.1 |
| 50–59 | 70 | 32.5 | 43 | 18.5 | 113 | 25.3 |
| 60 or more | 13 | 6.0 | 8 | 3.4 | 21 | 4.7 |
| Total |
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| Place of residence | ||||||
| Rural | 111 | 51.6 | 167 | 72.0 | 278 | 62.2 |
| Urban | 104 | 48.4 | 65 | 28.0 | 169 | 37.8 |
| Total | 215 | 100.0 | 232 | 100.0 | 447 | 100.0 |
| Socioeconomic strata | ||||||
| 1 | 8 | 3.7 | 56 | 24.6 | 64 | 14.4 |
| 2 | 125 | 58.1 | 117 | 51.3 | 242 | 54.6 |
| 3 | 68 | 31.6 | 51 | 22.4 | 119 | 26.9 |
| 4 | 12 | 5.6 | 3 | 1.3 | 15 | 3.4 |
| 5 | 2 | 0.9 | 1 | 0.4 | 3 | 0.7 |
| Total |
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| 228 |
| 443 |
|
| Educational level | ||||||
| None | 4 | 1.9 | 2 | 0.9 | 6 | 1.3 |
| Incomplete elementary | 83 | 38.6 | 77 | 33.2 | 160 | 35.8 |
| Complete elementary | 79 | 36.7 | 87 | 37.5 | 166 | 37.2 |
| Incomplete secondary | 29 | 13.5 | 32 | 13.8 | 61 | 13.6 |
| Complete secondary | 17 | 7.9 | 29 | 12.5 | 46 | 10.4 |
| Incomplete technical training | 0 | 0.0 | 1 | 0.4 | 1 | 0.2 |
| Complete technical degree | 1 | 0.5 | 4 | 1.7 | 5 | 1.1 |
| Complete college | 2 | 0.9 | 0 | 0.0 | 2 | 0.4 |
| Total |
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| Marital status | ||||||
| Single | 26 | 12.1 | 32 | 13.8 | 58 | 13.0 |
| Married | 81 | 37.7 | 100 | 43.1 | 181 | 40.5 |
| Living together | 93 | 43.3 | 86 | 37.1 | 179 | 40.0 |
| Separated | 12 | 5.5 | 13 | 5.6 | 25 | 5.6 |
| Widowed | 3 | 1.4 | 1 | 0.4 | 4 | 0.9 |
| Total |
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The “∗” means that 4 people didn't answer the question about socioeconomic strata.
Distribution of parenchymal abnormalities by department.
| Cundinamarca | Boyacá | |||
|---|---|---|---|---|
| Number | % | Number | % | |
| Small opacities | ||||
| p/p | 8 | 8.79% | 8 | 11.59% |
| p/q | 7 | 7.69% | 8 | 11.59% |
| p/t | 0 | 0.00% | 1 | 1.45% |
| q/p | 14 | 15.38% | 19 | 27.54% |
| q/q | 32 | 35.16% | 31 | 44.93% |
| q/r | 13 | 14.29% | 2 | 2.90% |
| r/q | 8 | 8.79% | 0 | 0.00% |
| r/r | 8 | 8.79% | 0 | 0.00% |
| r/t | 1 | 1.10% | 0 | 0.00% |
| Total | 91 | 100.00% | 69 | 100.00% |
| Large opacities | ||||
| A | 1 | 1.10% | 2 | 2.90% |
| B | 0 | 0.00% | 2 | 2.90% |
| C | 0 | 0.00% | 0 | 0.00% |
| No | 90 | 98.90% | 65 | 94.20% |
| Total | 91 | 100.00% | 69 | 100.00% |
Relationship between coal dust (bituminous coal) and silica concentration risk levels and pneumoconiosis by department.
| Cundinamarca | Boyacá | |||
|---|---|---|---|---|
| Number | % | |||
| Coal scale | ||||
| Low | 4 | 26.7% | 1 | 11.1% |
| Medium | 10 | 76.9% | 0 | 0.0% |
| High | 37 | 43.0% | 41 | 27.9% |
| Severe | 29 | 43.9% | 19 | 44.2% |
| Total | 80 | 44.4% | 61 | 29.3% |
| Silica scale | ||||
| Low | 11 | 31.4% | 8 | 34.8% |
| Medium | 12 | 50.0% | 0 | 0.0% |
| High | 6 | 50.0% | 3 | 15.8% |
| Severe | 42 | 45.2% | 20 | 21.3% |
| Critical | 20 | 39.2% | 38 | 41.8% |
| Total | 91 | 42.3% | 69 | 29.9% |
Logistic regression of pneumoconiosis, company size, level of risk due to exposure to bituminous coal, length of work history, and department.
|
| Sig. | OR | 95% CI (OR) | |
|---|---|---|---|---|
| Department | ||||
| Cundinamarca | −0.040 | 0.887 | 0.961 | 0.553–1.670 |
| Boyacá | 1.000 | |||
| Company size | 0.019 | |||
| Large | 0.111 | 0.748 | 1.118 | 0.567–2.203 |
| Medium | 0.833 | 0.007 | 2.301 | 1.260–4.201 |
| Small | 1.000 | |||
| Coal dust level of risk | 0.227 | |||
| Severe | 1.065 | 0.065 | 2.901 | 0.937–8.982 |
| High | 0.679 | 0.217 | 1.972 | 0.671–5.799 |
| Medium | 1.009 | 0.149 | 2.744 | 0.697–10.804 |
| Low | 1.000 | |||
| Number of years at work | ||||
| ≥30 years | 1.170 | 0.000 | 3.222 | 1.806–5.748 |
| 25–29.9 | 1.306 | 0.000 | 3.691 | 1.892–7.201 |
| <25 years | 1.000 | |||
| Smoking for more than one year | ||||
| Yes | 0.392 | 0.092 | 1.479 | 0.938–2.334 |
| No | 1.000 | |||
| Constant | −2.183 | 0.000 | 0.113 |