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Comparison of lung cancer risk in black-coal miners based on mortality and incidence

100%

Tomášková H., Šplíchalová A., Šlachtová H., Jirák Z.

Medycyna Pracy

2020

vol. 71

issue 5

513-518

BackgroundCancer risk (especially as regards lung cancer) in black-coal miners is mainly analyzed on the basis of mortality. The risk calculated based on mortality may differ from the values based on incidence. The aim of the study was to compare cancer risk in black-coal miners with and without coal workers’ pneumoconiosis (CWP), based on data on mortality and the incidence of lung cancer in the Czech Republic in 1992–2013.Material and MethodsThe cohort without CWP was composed of 6687 miners, and the cohort with CWP of 3476 miners. Information on the incidence of lung cancer was obtained from the Czech National Oncological Register (NOR), and information on mortality from the National Population Register. The risk of lung cancer incidence was compared with the general male population in the Czech Republic using the standardized incidence ratio (SIR), and the risk of lung cancer mortality using the standardized mortality ratio (SMR), with the 95% CI.ResultsIn miners with CWP, a lower SMR value was found, SMR = 1.70 (95% CI: 1.41–2.04), compared with the SIR value, SIR = 2.01 (95% CI: 1.70–2.36). In miners without CWP, this was opposite, the value of SIR = 0.81 (95% CI: 0.69–0.94) was lower than the value of SMR = 0.83 (95% CI: 0.70–0.98). In miners without CWP, 17 cases of lung cancer (out of 176 cases in total) were not registered in NOR. In miners with CWP, the share of not registered cases was significantly lower (p = 0.018), and it was represented by 3% of not registered lung cancer cases, out of 156 cases with the diagnosis of lung cancer.ConclusionsIn spite of the difference between SIR and SMR, the results of both indicators were consistent with the resulting relationship between the lung cancer risk and CWP.

An assessment of PM1 levels based on indicative PM1 measurements and relationships with PM10 and PM2.5 concentrations, for the analysis of hospital admissions and mortality in the Moravian region

76%

Šlachtová H., Tomášek I., Polaufová P., Hellebrandová L., Šplíchalová A., Tomášková H.

Medycyna Pracy

2021

vol. 72

issue 3

249-258

Particulate matter (PM) air pollution is a serious concern in the city of Ostrava. Thus, in 2018, a project entitled “Validation of the relationships between PM10, PM2.5 and PM1 concentrations, and morbidity and mortality, in the heavily polluted region in the Czech Republic,” was launched. The relationship between hospital admissions and mortality in the said region is based primarily on short-term PM10 and PM2.5 concentrations and indicative PM1 measurement. The analysis of spatiotemporal variations and the relationship between PM10, PM2.5 and PM1 data from 3 measurement sites within the city of Ostrava is presented.Material and MethodsThe analysis was based on the daily average PM concentrations for 5 and 6 months at 2 sites, and on the annual average values (2018–2019) at the baseline station. The correlations of and variability between PM fractions, seasonal differences and explanation of the differences found were the objectives of a detailed analysis. Especially, the potential PM1 variability and its causes were analyzed with respect to the location of the site.ResultsThe study findings confirmed good correlations between the PM fractions. Compared to PM10, PM2.5 concentrations were more predictive for PM1 concentrations. The annual means of PM10, PM2.5 and PM1 reached 37.5, 29.9 and 27.1 μg/m3 in 2018, respectively, and 25.8, 19.9 and 17.9 μg/m3 in 2019, respectively. The concentration levels in the non-heating season were significantly lower than in the heating season in the 2 years under consideration. The levels of PM10, PM2.5 and PM1 were significantly correlated (the correlation coefficient, r > 0.96). The levels of PM2.5 represented about 0.82–0.86 of PM10, and the levels of PM1 about 0.92–0.93 of PM2.5. These ratios were found to differ in the heating and non-heating seasons, with the PM2.5–PM10 ratio ranging 0.61–0.63 in the non-heating seasons.ConclusionsThe correlations found will be used for indicative PM1 measurements in other areas of the region. Seasonal variability should be taken into account as well. Med Pr. 2021;72(3):249–58

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2 Medycyna Pracy

2 Tomášková H.

2 Šlachtová H.

2 Šplíchalová A.

1 Hellebrandová L.

1 Jirák Z.

1 Polaufová P.

1 Tomášek I.

1 2021

1 2020

Search results

Comparison of lung cancer risk in black-coal miners based on mortality and incidence

An assessment of PM1 levels based on indicative PM1 measurements and relationships with PM10 and PM2.5 concentrations, for the analysis of hospital admissions and mortality in the Moravian region