[Exposure assessment to air pollutants: dispersion models versus human biomonitoring]. / La valutazione dell'esposizione a contaminanti ambientali: modelli di dispersione e biomonitoraggio umano.

BACKGROUND: the assessment of individual exposure to toxicants in industrially contaminated areas is difficult when multiple productions are actively close to residential areas. Two thermoelectric power plants (one recently converted to coal) and a large harbour have been operating since the Sixties in the area of Civitavecchia (North of Rome, Lazio Region, Central Italy). Detailed exposure assessment of pollutants from industrial sources, heating (biomass combustion), and urban traffic were not available. OBJECTIVES: to assess the individual exposure of residents by using both dispersion models and human biomonitoring. DESIGN: cross-sectional study. SETTING AND PARTICIPANTS: residents in the area of Civitavecchia since 2001 aged 35-69 years were enrolled and their addresses were geocoded. Exposure assessment to power plants emissions (PM10), traffic (NOx), harbour (PM10), and biomass burning (PM10) was performed at individual residential address using Lagrangian dispersion models. The "Ambiente e Biomarcatori a Civitavecchia" study (Environment and biomarkers in Civitavecchia - ABC study) made available urinary concentrations of metals (i.e., Cd, Pt, W, Pd, Hg, Tl, Cr, Pd, Ni, As) in a sample of residents, while information on personal characteristics, lifestyles, work history, clinical history, and use of drugs was collected by interview. MAIN OUTCOME MEASURES: for each metal, a linear regression analysis was implemented to study the association between its log-transformed values (adjusted for urinary creatinine) and the linear terms of the estimated pollutants concentrations, adjusted for age, gender, period, and other risk factors (i.e., educational level, smoking habit, alcohol, BMI). Geometric Mean Ratios (GMR) and the corresponding confidence intervals (95%CI) were computed. RESULTS: in the ABC sample of 1,141 residents (42% male, mean age 53.5 years, SD 9.7), there was a positive association between PM10 from power plants and urinary cadmium (Cd) (GMR: 1.12; 95%CI 1.00-1.25), traffic pollution (NOx) and platinum (Pt) (GMR: 1.17; 95%CI 1.00-1.38), PM10 from biomass burning and Cd (GMR: 1.14; 95%CI 1.05-1.24), and tungsten (W) (GMR: 1.19; 95%CI 1.03-1.37) and palladium (Pd) (GMR: 1.11; 95%CI 1.00-1.23). Other associations observed did not reach statistical significance. CONCLUSIONS: although it may not be said that dispersion models can replace biomonitoring studies, they certainly represent an excellent tool for exposure assessment and, therefore, they may be used for the estimation of the individual exposure of populations living in industrially contaminated areas.

Neurocognitive impact of metal exposure and social stressors among schoolchildren in Taranto, Italy.

BACKGROUND: Metal exposure is a public health hazard due to neurocognitive effects starting in early life. Poor socio-economic status, adverse home and family environment can enhance the neurodevelopmental toxicity due to chemical exposure. Disadvantaged socio-economic conditions are generally higher in environmentally impacted areas although the combined effect of these two factors has not been sufficiently studied. METHODS: The effect of co-exposure to neurotoxic metals including arsenic, cadmium, manganese, mercury, lead, selenium, and to socio-economic stressors was assessed in a group of 299 children aged 6-12 years, residing at incremental distance from industrial emissions in Taranto, Italy. Exposure was assessed with biological monitoring and the distance between the home address and the exposure point source. Children's cognitive functions were examined using the Wechsler Intelligence Scale for Children (WISC) and the Cambridge Neuropsychological Test Automated Battery (CANTAB). Linear mixed models were chosen to assess the association between metal exposure, socio-economic status and neurocognitive outcomes. RESULTS: Urinary arsenic, cadmium and hair manganese resulted inversely related to the distance from the industrial emission source (ß - 0.04; 95% CI -0.06, - 0.01; ß - 0.02; 95% CI -0.05, - 0.001; ß - 0.02 95% CI -0.05, - 0.003) while the WISC intellectual quotient and its sub-scores (except processing speed index) showed a positive association with distance. Blood lead and urinary cadmium were negatively associated with the IQ total score and all sub-scores, although not reaching the significance level. Hair manganese and blood lead was positively associated with the CANTAB between errors of spatial working memory (ß 2.2; 95% CI 0.3, 3.9) and the reaction time of stop signal task (ß 0.05; 95% CI 0.02, 0.1) respectively. All the other CANTAB neurocognitive tests did not show to be significantly influenced by metal exposure. The highest socio-economic status showed about five points intellectual quotient more than the lowest level on average (ß 4.8; 95% CI 0.3, 9.6); the interaction term between blood lead and the socio-economic status showed a significant negative impact of lead on working memory at the lowest socio-economic status level (ß - 4.0; 95% CI -6.9, - 1.1). CONCLUSIONS: Metal exposure and the distance from industrial emission was associated with negative cognitive impacts in these children. Lead exposure had neurocognitive effect even at very low levels of blood lead concentration when socio-economic status is low, and this should further address the importance and prioritize preventive and regulatory interventions.

A survey on lifestyle and level of biomarkers of environmental exposure in residents in Civitavecchia (Italy).

BACKGROUND: The assessment of individual exposure to toxicants in industrially contaminated areas is difficult when multiple productions are active close to residential areas. Two thermoelectric power plants and a large harbor have been operating since the '60s in the area of Civitavecchia (North of Rome). METHODS: The ABC (Ambiente e Biomonitoraggio nell'area di Civitavecchia, Environment and Biomonitoring in Civitavecchia) program involved, in the period 2013-2014, residents in Civitavecchia and in the nearby municipalities (Santa Marinella, Allumiere, Tolfa and Tarquinia). They were randomly selected from the Municipal Register's data and their residence addresses were geocoded using GIS techniques. Biomonitoring of the following urinary metals, Sb, Be, Mo, Cd, Sn, W, Ir, Pt, Hg, Tl, V, Cr, Mn, Co, Ni, Cu, Zn, Rh, Pd, As were performed. Glucose and lipid metabolism, liver, renal, and endocrine function were evaluated through blood laboratory tests. Tests of lung functionwere also carried out as well as saturometry (oxygen rate in the blood with an illuminated sensor placed on the fingertip), anthropometric and blood pressure measurements. Information on individual characteristics, histories of exposure, such as the consumption of local food, occupational history, lifestyle and medical history were collected through a validated questionnaire. Samples of nails and hair were also collected. The biological material (blood, urine, nails and hair) was stored in a biobank for future analysis related to the possible mechanisms of biological damage. The study protocol received the approval of the local ethics committee. RESULTS: A total of 1177 residents were enrolled (58% female, 60% with a secondary or graduate school degree). No particular differences in metal concentrations based on the municipality of residence were observed. For arsenic, mercury, lead, and tungsten some differences between the two geographical areas were observed, probably due to different diet, lifestyle (e.g., alcohol consumption, smoking, use of jewelry and piercings, tattoos, physical activity, hormonal and mineral supplements, and drugs), and occupational exposure. CONCLUSIONS: The undergoing study on the association between biomarkers concentration and pollutants concentrations - estimated using a dispersion modeling approach, and adjusting for personal characteristics and concomitant other environmental exposure - could clarify the individual exposure of the residents in this industrial area.

Biomonitoring and exposure assessment of people living near or working at an Italian waste incinerator: methodology of the SPoTT study.

Only few studies on the health effect of waste incinerators were focused on human biomonitoring (HBM). Our aim is to describe a protocol for assessing early variation of selected items in a population group living close to a waste incinerator in Turin, Italy. A cohort of 394 subjects was randomly selected, among residents near the incinerator and residents far from it. To achieve this sample size, 765 subjects were contacted. The cohort was monitored before the start-up of the plant and will be followed up 1 and 3 years after, with measurements of respiratory function, selected blood and urine parameters including 19 metals, 17 congeners of PCDDs/Fs, 12 congeners of DL-PCBs, 30 congeners of NDL-PCBs, 11 OH-PAHs, specific hormones (T3, T4, TSH, cortisol and ACTH) and common health parameters. The same protocol is applied for plant workers and breeders living near the plant. Individual exposure to urban pollution and waste incinerator fallout were assessed through the use of mathematical models. Information on individual habits was assessed using a specific questionnaire. SPoTT is the first Italian study that adopts a longitudinal design of appropriate statistical power to assess health impacts of waste incinerator plants' emission. The initial results comparing the baseline to the first follow-up are due at the end of 2016.

Nickel quantification in serum by a validated sector-field inductively coupled plasma mass spectrometry method: Assessment of tentative reference values for an Italian population.

The daily exposure to Ni from food, industrial processes, jewellery and coins makes the determination of Ni in human serum an important way to monitor the health status in non-occupationally exposed subjects. To this end, a method based on sector-field inductively coupled plasma mass spectrometry was developed and validated. The limits of detection (LoD) and quantification (LoQ), sensitivity, linearity range, trueness, repeatability, within-laboratory reproducibility and robustness were the considered issues of the validation process. The uncertainty associated with the measurements was also calculated, according to the Eurachem/Citac Guide. The method LoD and LoQ were 0.03 and 0.09 ng mL(-1), linearity was over two order of magnitude, trueness was -3.57%, and the repeatability and reproducibility showed relative standard deviations equal to 4.56% and 6.52%, respectively. The relative expanded uncertainty was 21.8% at the Ni levels found in the general population. The tentative reference value for serum Ni was 0.466 +/- 0.160 ng mL(-1) with a related interval between 0.226 and 1.026 ng mL(-1).

Assessment of reference values for selected elements in a healthy urban population.

Reference values for 26 elements, namely Al, Ba, Be, Bi, Ca, Cd, Co, Cr, Cu, Fe, Hg, Li, Mg, Mn, Mo, Ni, Pb, Sb, Si, Sn, Sr, Tl, V, W, Zn and Zr are proposed in serum and blood of 110 healthy adults of the urban area of Rome. They were included in the study on the basis of strict criteria of eligibility and exclusion. With the exception of Ba, Bi, Co, Cr, Ni, Sb, Sn Tl in serum, and Bi, Hg, Si, V and W in whole blood, experimental data for each all the other analytes were found to approach a normal distribution. The estimated 5-95% references ranges (in ng ml(-1)) were reported. For several elements the reference ranges observed overlapped information available in the literature. Gender, age, body mass index, smoking habits and alcohol consume were used as grouping variables. Mutual associations were observed for several elements, as follows: Be, Ca, Co, Cr, Cu, Li, Mo, Pb and Zn with sex; Ca, Pb and Si with age (< and > 45 years); Co, Cr, Mo, Sb and Tl with body mass index; Cd and Pb with smoking habit; Cr and Pb with alcohol consume.