Abstract

In the first national human biomonitoring study in the Slovenian population of adults (18-49 years), including men (n=297) and lactating primiparous women (n=304), exposure to polycyclic aromatic hydrocarbons (PAHs) was evaluated. Nine urinary metabolites of four parent PAHs were determined. These included 1-hydroxypyrene (1-OHPYR), 2-hydroxynaphthalene (2-OHNAP), 2-hydroxyphenanthrene (2-OHPHE), 3-hydroxyphenanthrene (3-OHPHE), 4-hydroxyphenanthrene (4-OHPHE), a combination of 2-hydroxyfluorene and 3-hydroxyfluorene (2/3-OHFLU) and a combination of 1-hydroxyphenanthrene and 9-hydroxyphenanthrene (1/9-OHPHE). For comparison, the analysed phenanthrene metabolites were reported as a sum (ΣOHPHE=1/9-OHPHE+2-OHPHE+3-OHPHE+4-OHPHE) and all the analysed PAH metabolites were reported as a sum (ΣOHPAH=1-OHPYR+2/3-OHFLU+2-OHNAP+ΣOHPHE). All metabolites or their combinations were determined in more than 91% of the samples, except 4-OHPHE, which was determined in only 5% of the samples. The highest concentration was found for 2-OHNAP. This was followed by 2/3-OHFLU and the phenanthrene metabolites, while the lowest concentration was determined for 1-OHPYR. Among the phenanthrene metabolites, the highest concentration was determined for 2-OHPHE, followed by 1/9-OHPHE and then by 3-OHPHE. Values in units of volume and values adjusted for specific gravity were significantly higher in men than in lactating primiparous women for all metabolites, whereas values in units adjusted for creatinine were generally higher in lactating primiparous women than in men. The difference between the two study groups, men and lactating primiparous women, was no longer significant in statistical models adjusted for specific gravity, suggesting that smoking, wood-burning exposure, and/or education largely explained the difference in PAH exposure in both study groups. For most metabolites, predictors of exposure were less significant in lactating primiparous women than in men. Also, site-specific patterns of exposure were observed, with additional predictors identified in certain areas, namely, proximity to roads and release of particulate matter (PM10) from industry. The time of year in which sampling took place appeared to be an important determinant in urban areas and in the case of participants who used wood for heating. Specific dietary factors could not be identified, as the study questionnaire did not include information on PAH-related diet. Despite the low number of paired partners (women and men living in the same household, n=84), significant positive correlations for all metabolites were observed. This indicated that 31%-56% of variability in exposure could be explained by shared exposure to sources within the households (such as diet and wood-burning-related determinants).

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