The health impact of hazardous waste landfills and illegal dumps contaminated sites: An epidemiological study at ecological level in Italian Region

Background and aim: The implementation of idoneous management of hazardous waste, in contrast to illegal practices, is one of the environment and health priorities of the WHO. The aim of the present study, based on a collaborative agreement between the Italian National Health Institute and a Prosecution Office located in Naples North, was to evaluate the health effects of illegal landfills and burning of urban and hazardous waste in the territory of the Prosecution Office. Methods: The municipalities included in the study territory were investigated with respect to the regional population. Regression analyses were performed in the study area between four classes of an environmental municipal indicator of waste risk (MRI) previously defined, computing the relative risks (RRs) in 2–4 MRI classes, with respect to the first MRI class (the least impacted). The prevalence of reproductive outcomes and cause-specific mortality and hospitalization were analyzed in the general population and in the 0–19-year-old population using SAS software. Results: An increase of mortality and hospitalization risk in both the genders of the whole area, with respect to regional population, were found for overall all cancer cases, cancer of the stomach, the liver, the lung and the kidney, and ischemic heart diseases. An increase of mortality for leukemias in the 0-19-year-old population and in hospitalization risk for certain conditions originating in the perinatal period were observed. Correlation between MRI and the risk of mortality from breast tumors in women (MRI class 2: RR = 1.06; MRI class 3: RR = 1.15; MRI class 4: RR = 1.11) and between MRI and the risk of hospitalization from testis tumors (MRI class 2: RR = 1.25; MRI class 3: RR = 1.31; MRI class 4: RR = 1.32) were found. The hospitalization risk from breast tumors and asthma exceeded significantly in both genders of three and four MRI classes. Among the 0-19-year-old population, correlation between MRI and hospitalization from leukemias (MRI class 2: RR = 1.48; MRI class 3: RR = 1.60; MRI class 4: RR = 1.41) and between MRI and the prevalence of preterm birth (MRI class 2: RR = 1.17; MRI class 3: RR = 1.08; MRI class 4: RR = 1.25) were found. Conclusion: A correlation between health outcomes and the environmental pressure by uncontrolled waste sites was found. Notwithstanding the limitation of the study, the results promote implementing the actions of environmental remediation and the prosecution of illegal practices

Monitoring of people and workers exposure to the electric, magnetic and electromagnetic fields in an Italian national cancer Institute

<p>Abstract</p> <p>Background</p> <p>The paper reports the electric, magnetic and electromagnetic fields (<it>emf</it>) measurements carried out in the <it>Regina Elena National Cancer Institute (NCI)</it>. Several devices, used in diagnostics and in medical cures, can represent sources of <it>emf </it>for the workers and for the public subjected to the treatments. The aim is to evaluate their exposition, in order to assess the compliance with the law.</p> <p>Methods</p> <p>The investigations have been carried out in the departments of: intensive care, physiotherapy, MR presstherapy and in the surgical rooms. The measurements have been performed using broad band probes in the frequency ranges 5 Hz÷30 kHz and 100 kHz-3 GHz.</p> <p>Results</p> <p>The variability of the magnetic induction (B(μT)) levels is between 0,05 μT and 80 μT. The statistical distribution shows that most of the measurements are in the range 0,05<B = 0,5 μT and the 89% of the B(μT) levels are within the 3 μT.</p> <p>Conclusion</p> <p>The measurement of the <it>emf </it>levels in the <it>NCI </it>is recommended because of the presence of the oncological patients; their long stay near the equipments and their day-long exposure represent additional risk factors for which a prudent avoidance strategy have to de adopted.</p

A review of exposure assessment methods for epidemiological studies of health effects related to industrially contaminated sites

BACKGROUND: this paper is based upon work from COST Action ICSHNet. Health risks related to living close to industrially contaminated sites (ICSs) are a public concern. Toxicology-based risk assessment of single contaminants is the main approach to assess health risks, but epidemiological studies which investigate the relationships between exposure and health directly in the affected population have contributed important evidence. Limitations in exposure assessment have substantially contributed to uncertainty about associations found in epidemiological studies. OBJECTIVES: to examine exposure assessment methods that have been used in epidemiological studies on ICSs and to provide recommendations for improved exposure assessment in epidemiological studies by comparing exposure assessment methods in epidemiological studies and risk assessments. METHODS: after defining the multi-media framework of exposure related to ICSs, we discussed selected multi-media models applied in Europe. We provided an overview of exposure assessment in 54 epidemiological studies from a systematic review of hazardous waste sites; a systematic review of 41 epidemiological studies on incinerators and 52 additional studies on ICSs and health identified for this review. RESULTS: we identified 10 multi-media models used in Europe primarily for risk assessment. Recent models incorporated estimation of internal biomarker levels. Predictions of the models differ particularly for the routes ‘indoor air inhalation’ and ‘vegetable consumption’. Virtually all of the 54 hazardous waste studies used proximity indicators of exposure, based on municipality or zip code of residence (28 studies) or distance to a contaminated site (25 studies). One study used human biomonitoring. In virtually all epidemiological studies, actual land use was ignored. In the 52 additional studies on contaminated sites, proximity indicators were applied in 39 studies, air pollution dispersion modelling in 6 studies, and human biomonitoring in 9 studies. Exposure assessment in epidemiological studies on incinerators included indicators (presence of source in municipality and distance to the incinerator) and air dispersion modelling. Environmental multi-media modelling methods were not applied in any of the three groups of studies. CONCLUSIONS: recommendations for refined exposure assessment in epidemiological studies included the use of more sophisticated exposure metrics instead of simple proximity indicators where feasible, as distance from a source results in misclassification of exposure as it ignores key determinants of environmental fate and transport, source characteristics, land use, and human consumption behaviour. More validation studies using personal exposure or human biomonitoring are needed to assess misclassification of exposure. Exposure assessment should take more advantage of the detailed multi-media exposure assessment procedures developed for risk assessment. The use of indicators can be substantially improved by linking definition of zones of exposure to existing knowledge of extent of dispersion. Studies should incorporate more often land use and individual behaviour

Cause specific mortality in an Italian pool of asbestos workers cohorts

Background Asbestos is a known human carcinogen and is causally associated with malignant mesothelioma, lung, larynx and ovarian cancers.Methods Cancer risk was studied among a pool of formerly asbestos-exposed workers in Italy. Fifty-two Italian asbestos cohorts (asbestos-cement, rolling-stock, shipbuilding, and other) were pooled and their mortality follow-up was updated to 2018. Standardized mortality ratios (SMRs) were computed for major causes of death considering duration of exposure and time since first exposure (TSFE), using reference rates by region, age and calendar period.Results The study included 63,502 subjects (57,156 men and 6346 women): 40% who were alive, 58% who died (cause known for 92%), and 2% lost to follow-up. Mortality was increased for all causes (SMR: men = 1.04, 95% confidence interval [CI] 1.03-1.05; women = 1.15, 95% CI 1.11-1.18), all malignancies (SMR: men = 1.21, 95% CI 1.18-1.23; women = 1.29, 95% CI 1.22-1.37), pleural and peritoneal malignancies (men: SMR = 10.46, 95% CI 9.86-11.09 and 4.29, 95% CI 3.66-5.00; women: SMR = 27.13, 95% CI 23.29-31.42 and 7.51, 95% CI 5.52-9.98), lung (SMR: men = 1.28, 95% CI 1.24-1.32; women = 1.26, 95% CI 1.02-1.53), and ovarian cancer (SMR = 1.42, 95% CI 1.08-1.84). Pleural cancer mortality increased during the first 40 years of TSFE (latency), reaching a plateau thereafter.Conclusions Analyses by time-dependent variables showed that the risk for pleural neoplasms increased with latency and no longer increases at long TSFE, consistent with with asbestos clearance from the lungs. Peritoneal neoplasm risk increased over all observation time

Spatial Analysis of Shared Risk Factors between Pleural and Ovarian Cancer Mortality in Lombardy (Italy)

Background: Asbestos exposure is a recognized risk factor for ovarian cancer and malignant mesothelioma. There are reports in the literature of geographical ecological associations between the occurrence of these two diseases. Our aim was to further explore this association by applying advanced Bayesian techniques to a large population (10 million people). Methods: We specified a series of Bayesian hierarchical shared models to the bivariate spatial distribution of ovarian and pleural cancer mortality by municipality in the Lombardy Region (Italy) in 2000–2018. Results: Pleural cancer showed a strongly clustered spatial distribution, while ovarian cancer showed a less structured spatial pattern. The most supported Bayesian models by predictive accuracy (widely applicable or Watanabe–Akaike information criterion, WAIC) provided evidence of a shared component between the two diseases. Among five municipalities with significant high standardized mortality ratios of ovarian cancer, three also had high pleural cancer rates. Wide uncertainty was present when addressing the risk of ovarian cancer associated with pleural cancer in areas at low background risk of ovarian cancer. Conclusions: We found evidence of a shared risk factor between ovarian and pleural cancer at the small geographical level. The impact of the shared risk factor can be relevant and can go unnoticed when the prevalence of other risk factors for ovarian cancer is low. Bayesian modelling provides useful information to tailor epidemiological surveillance

[SENTIERI Project: materials and methods].

Le analisi svolte riguardano tre esiti sanitari: mortalità, incidenza tumorale e ospedalizzazione, studiati attraverso metodi omogenei applicati a fonti informative certificate, rispettivamente Istat, AIRTUM e Ministero della salute. I periodi temporali esaminati sono: 2003-2010 e 2005-2010 per mortalità e ospedalizzazione; 1996- 2005 per l’incidenza tumorale. Le cause di morte esaminate sono quelle selezionate nel Progetto SENTIERI; l’ospedalizzazione, descritta attraverso l’analisi delle persone ricoverate, ha riguardato le diagnosi principali di ricovero; l’incidenza ha riguardato le patologie tumorali selezionate da AIRTUM. Gli indicatori statistici usati (SMR, rapporto standardizzato di mortalità; SIR, rapporto standardizzato di incidenza, SHR, rapporto standardizzato di ospedalizzazione) sono omogenei: essi mettono a confronto i casi osservati del fenomeno in esame con quelli attesi sulla base della distribuzione di tale fenomeno nella popolazione di riferimento; alla stima puntuale è stato associato un intervallo di confidenza al 90%. Tutti gli indicatori calcolati sono stati corretti per età e deprivazione.The Report considers three health outcomes – mortality, cancer incidence and hospital discharges – studied using homogenous methods and using data from official sources, namely the National Institute of Statistics (Istat), Italian Network of Cancer Registries (AIRTUM) and the Health Ministry. The timeframes of observation are: 2003-2010 for mortality, 1996-2005 for cancer incidence and 2005-2010 for hospital discharges. The causes of death are those examined by the SENTIERI Project. Hospital discharges are analysed with reference to the main diagnosis. The study of cancer incidence applies to the sites selected by AIRTUM. Statistical parameters (SMR, Standardized Mortality Ratio; SIR, Standardized Incidence Ratio; SHR, Standardized Hospitalization Ratio) were computed with a 90% confidence interval; the estimators were adjusted for age and socioeconomic status

[SENTIERI Project: results].

Tra i 18 siti di interesse nazionale per le bonifiche (SIN) analizzati ce ne sono alcuni con esposizione ambientale unica e con un unico inquinante (per esempio Biancavilla, fluoro-edenite) ma, nella maggior parte dei casi, si è in presenza di molteplici ed eterogenee sorgenti emissive. Per questo la presenza di una evidenza a priori di associazione con le fonti di emissione/rilascio del SIN è di aiuto nel riferire il profilo di salute della popolazione residente a specifiche esposizioni ambientali. Questa coerenza con l’evidenza a priori è stata evidenziata in diverse circostanze, come per esempio nel SIN Fidenza per il tumore dello stomaco (eccesso di incidenza in entrambi i generi); nel SIN Laguna di Grado e Marano per il tumore dello stomaco (eccessi di mortalità, incidenza e ricoverati tra le donne); nei SIN di Brescia-Caffaro, Milazzo, Terni-Papigno per le malattie respiratorie, con eccesso di ricoverati; nel SIN di Brescia-Caffaro l’eccesso di incidenza e di ricoverati per linfomi non-Hodgkin e melanoma (in entrambi i generi) e per tumore della mammella tra le donne. Per la valutazione del profilo di salute della popolazione risulta importante anche la coerenza fra diversi indicatori (per esempio eccessi nella mortalità, incidenza e ricoverati per il tumore della vescica, negli uomini, a Porto Torres; per l’apparato urinario nel SIN Basso bacino del fiume Chienti), così come la coerenza dello stesso indicatore in entrambi i generi (per esempio l’eccesso di incidenza del totale dei tumori a Bolzano, Porto Torres, Venezia, Litorale Domizio Flegreo, Priolo, Taranto; l’eccesso di mortalità generale a Taranto, Litorale Domizio Flegreo, Trieste). I singoli eccessi emersi nei diversi SIN da una parte devono essere valutati con attenzione, come stimolo per approfondimenti di tipo analitico rivolti a confermare e precisare evidenze di associazioni causali con esposizioni ambientali specifiche, dall’altra però possono considerarsi già utilizzabili per indicare e modulare cogenti misure di prevenzione primaria.Of the 18 National Priority Contaminated Sites (NPCSs) analysed in this Report, some have a single source of environmental contamination (such as fluoro-edenite in Biancavilla). In most cases, however, we are looking at multiple heterogeneous sources of contamination. In this respect, the a priori causal evaluation of the association between diseases and environmental exposures in NPCSs, based on epidemiological evidence, can help trace the health impact back to specific types of environmental exposure. There are several cases in which the project’s findings have been consistent with a priori evidence: stomach cancer (both genders, excess cancer incidence) in the Fidenza NPCS; stomach cancer (women, excess mortality, cancer incidence and hospital discharges) in the Laguna di Grado e Marano NPCS; excess hospitalisation from respiratory diseases in Brescia-Caffaro, Milazzo and Terni Papigno NPCSs; excesses for non-Hodgkin lymphomas and melanoma (incidence and hospitalisation in men and

[Results of the evaluation].

No abstract availabl