Many toxic substances in the workplace can modify human health and quality of life and there is still insufficient data on respiratory outcomes in adults exposed to phthalates. The aim of this work was to assess in waste management workers from the Nitra region of Slovakia (n = 30) the extent of exposure to phthalates and health-related outcomes. Four urinary phthalate metabolites mono(2-ethylhexyl) phthalate (MEHP), monobutyl phthalate (MnBP), monoethyl phthalate (MEP) and monoisononyl phthalate (MiNP) were determined by high-performance liquid chromatography with mass spectrometry (HPLC-MS/MS). Urinary concentration of MEHP was positively associated with ratio of forced expiratory volume in 1 s to forced vital capacity % (FEV1/FVC) (r = 0.431; p = 0.018) and MiNP with fat free mass index (FFMI) (r = 0.439; p = 0.015). The strongest predictor of pulmonary function was the pack/year index as smoking history that predicted a decrease of pulmonary parameters, the FEV1/FVC, % of predicted values of peak expiratory flow (PEF % of PV) and FEV1 % of PV. Unexpectedly, urinary MEHP and MINP were positively associated with pulmonary function expressed as PEF % of PV and FEV1/FVC. We hypothesize that occupational exposure to phthalates estimated from urinary metabolites (MEHP, MiNP) can modify pulmonary function on top of lifestyle factors.
Intensification of landscape use brings along the negative effects on environmental components. These include surface water pollution. The aim was to determine the effect of landscape use on the water quality of the Žitava river. It was assumed that an area with the high proportion of anthropogenic activity would negatively affect water quality. At the same time, we assumed that an area with the lower proportion of anthropogenic use and with the higher proportion of natural and semi-natural elements contributes to self-cleaning ability of the watercourse. At the four observed sites, ammoniacal nitrogen (NH4-N), nitrate-nitrogen (NO3-N), phosphate-phosphorus (PO4-P) and water conductivity were monitored. Landscape use was analysed using the database of land cover based on the CORINE Land Cover methodology. Subsequently, it was observed how the landscape use affects the water quality. It was found that the very good state, represented by the Class I water quality, is according to the measured indicators mostly present in the areas predominantly covered by forests along with extensive use of elements of the agricultural land. The area with predominance of agricultural and urbanised sites where the anthropogenic influence prevails is characterised by average water quality. As the overall water quality of the Žitava river reaches the average, it is necessary to eliminate the pollution by constructing the sewer systems in the villages through which the watercourse is passing and, in agriculture, to ensure the adherence to the legislation concerning the protection of surface water against pollution from agricultural sources.
Vanková V., Petluš P.: Water temperature influence on selected properties of surface river water throughout the year (river Nitra). Ekológia (Bratislava), Vol. 33, No. 2, p. 151-159, 2014.Assessment of chosen surface water properties was realised as a part of broader research on environmental aspects of urban environment. Analyses of selected physical and chemical water properties, oxygen and temperature regime, neutralisation capacity, selected nutrients and measurements of air temperature was done in monthly intervals during 2012 at three localities. Two of the assessed localities are at river Nitra: Nitra Communal Services and housing estate Chrenová I. The third locality is the oxbow lake of Malá Hangócka river at Nitra City Park. We have assessed the volume of oxygen concentration (O2, mg/l) and oxygen regime, phosphates (P-PO4 -3, mg/l), ammoniac nitrogen (N-NH4 +, mg/l), nitrites (N-NO2 -, mg/l), pH and water temperature (°C) from the collected samples. Out of these analyses the values of the above mentioned indicators, their annual fluctuation and water quality of observed localities were obtained. The influence of human activities on water properties and its quality was further assessed. Statistical methods such as two-factor dispersion analysis without replication and correlation coefficient were applied to validate the correlation of selected surface water properties, water and air temperature and to compare observed localities.
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