Health impact assessment should be based on correct methods.

The methodology of health impact assessment (HIA), originally proposed by WHO, is widely used to predict the potential health effects in a community living in a place in which a new project (e.g., an industrial plant) will be implemented. One of the key quantities to calculate the impact (i.e., the number of attributable cases) is the baseline (i.e., before the project implementation) rate of selected diseases in the community. In a recent paper on this journal, this methodology has been challenged. Specifically, the use of baseline rate has been questioned, proposing to use only the fraction of the baseline rate due to the exposures related to the project, and not the rate due to all risk factors for the disease. In this commentary, we argue that the proposal is logically and epidemiologically unsound, and devoid of scientific motivation. The conclusion that the traditional approach overestimates the health impact should be rejected as based on flawed assumptions. On the contrary, the proposal may produce a (seriously biased) underestimation of attributable cases.

[Health impact: considering only a plant assessment is not enough, an area assessment is also needed]. / Impatto sanitario: la valutazione del singolo impianto non è sufficiente, occorre anche una valutazione di area.

Environmental Impact Assessments (EIAs) often conclude with a "low" or at least "negligible" final health impact assessment (HIA) of the industrial plant under assessment. We explore the reasons for this - often simplistic - conclusion and offer suggestions on how to extend the assessment focus from just the plant to an appropriate impact area. For many assessments, the conclusions are easily predictable: the application of available risk functions to modest increases in pollution, in the presence of numerically small populations in the areas of greatest fallout and considering rather rare health outcomes, can only result in quantitatively modest health impacts. This is the classic situation of low sensitivity of the observation system due to the impossibility of containing the type II error (false negatives) since we cannot increase the exposed population at will. The risk is to give the green light to an industrial plant in which the apparently null or very limited damage is simply not properly detectable. There is hardly any trace of these elements in the HIA scoping phase. In environmental complex territories, the renewal or authorization of a new plant should consider not only the impact of the individual plant, but also the health profile of the population concerned and the context in which the industrial project is located. An 'HIA area' is therefore configured, aimed at the complex of environmental pressure factors that insist on the same area of impact of the plant. Epidemiology focuses on the exposed population, considers the 'current' state of health, hazard, and risk information from toxicology, and estimates individual exposure and the effects of exposure. The 'HIA area' can assess the impact of the complex of persistent emission sources, considering in the analysis the health status of the exposed population and the presence of specific vulnerabilities. The proposal is in line with what is already foreseen in the Essential levels of care and Environmental technical performance of the National Health Service.A basic condition is the establishment of functions dedicated to integrated environmental and health surveillance to update the health profile and carry out the 'HIA area' as an accompanying tool for local strategic planning. On these issues, the Italian Environment and Health Network (RIAS) has opened a discussion within the network and with any Italian regions.

[Exposure assessment of air pollution in Italy 2016-2019 for future studies on air pollution and COVID-19]. / La valutazione dell'esposizione della popolazione italiana all'inquinamento atmosferico nel periodo 2016-2019 per lo studio della relazione tra inquinamento atmosferico e COVID-19.

Air pollution is one of the leading causes of death worldwide, with adverse effects related both to short-term and long-term exposure. It has also recently been linked to COVID-19 pandemic. To analyze this possible association in Italy, studies on the entire area of the peninsula are necessary, both urban and non-urban areas. Therefore, there is a need for a homogeneous and applicable exposure assessment tool throughout the country.Experiences of high spatio-temporal resolution models for Italian territory already exist for PM estimation, using space-time predictors, satellite data, air quality monitoring data.This work completes the availability of these estimations for the most recent years (2016-2019) and is also applied to nitrogen oxides and ozone. The spatial resolution is 1x1 km.The model confirms its capability of capturing most of PM variability (R2=0.78 and 0.74 for PM10 e PM2.5, respectively), and provides reliable estimates also for ozone (R2=0.76); for NO2 the model performance is lower (R2=0.57). The model estimations were used to calculate the PWE (population-weighted exposure) as the annual mean, weighted on the resident population in each individual cell, which represents the estimation of the Italian population's chronic exposure to air pollution.These estimates are ready to be used in studies on the association between chronic exposure to air pollution and COVID-19 pathology, as well as for investigations on the role of air pollution on the health of the Italian population.

[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.

Human biomonitoring as a tool for exposure assessment in industrially contaminated sites (ICSs). Lessons learned within the ICS and Health European Network.

BACKGROUND: the mixed and complex nature of industrially contaminated sites (ICSs) leads to heterogeneity in exposure and health risk of residents living nearby. Health, environment, and social aspects are strongly interconnected in ICSs, and local communities are often concerned about potential health impact and needs for remediation. The use of human biomonitoring (HBM) for impact assessment of environmental exposure is increasing in Europe. The COST Action IS1408 on Industrially Contaminated Sites and Health Network (ICSHNet) decided to reflect on the potential and limitations of HBM to assess exposure and early health effects associated with living near ICSs. OBJECTIVES: to discuss challenges and lessons learned for addressing environmental health impact near ICSs with HBM in order to identify needs and priorities for HBM guidelines in European ICSs. METHODS: based on the experience of the ICSHNet research team, six case studies from different European regions that applied HBM at ICSs were selected. The case studies were systematically compared distinguishing four phases: the preparatory phase; study design; study results; the impact of the results at scientific, societal, and political levels. RESULTS: all six case studies identified opportunities and challenges for applying HBM in ICS studies. A smart choice of (a combination of) sample matrices for biomarker analysis produced information about relevant time-windows of exposure which matched with the activities of the ICSs. Combining biomarkers of exposure with biomarkers of (early) biological effects, data from questionnaires or environmental data enabled fine-tuning of the results and allowed for more targeted remediating actions aimed to reduce exposure. Open and transparent communication of study results with contextual information and involvement of local stakeholders throughout the study helped to build confidence in the study results, gained support for remediating actions, and facilitated sharing of responsibilities. Using HBM in these ICS studies helped in setting priorities in policy actions and in further research. Limitations were the size of the study population, difficulties in recruiting vulnerable target populations, availability of validated biomarkers, and coping with exposure to mixtures of chemicals. CONCLUSIONS: based on the identified positive experiences and challenges, the paper concludes with formulating recommendations for a European protocol and guidance document for HBM in ICS. This could advance the use of HBM in local environmental health policy development and evaluation of exposure levels, and promote coordination and collaboration between researchers and risk managers.

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.

[Health impact assessment of policies for municipal solid waste management: findings of the SESPIR Project]. / Impatto sulla salute delle politiche di gestione dei rifiuti solidi urbani: i risultati del Progetto SESPIR.

The SESPIR Project (Epidemiological Surveillance of Health Status of Resident Population Around the Waste Treatment Plants) assessed the impact on health of residents nearby incinerators, landfills and mechanical biological treatment plants in five Italian regions (Emilia-Romagna, Piedmont, Lazio, Campania, and Sicily). The assessment procedure took into account the available knowledge on health effects of waste disposal facilities. Analyses were related to three different scenarios: a Baseline scenario, referred to plants active in 2008-2009; the regional future scenario, with plants expected in the waste regional plans; a virtuous scenario (Green 2020), based on a policy management of municipal solid waste (MSW) through the reduction of production and an intense recovery policy. Facing with a total population of around 24 million for the 5 regions, the residents nearby the plants were more than 380,000 people at Baseline. Such a population is reduced to approximately 330.000 inhabitants and 170.000 inhabitants in the regional and Green 2020 scenarios, respectively. The health impact was assessed for the period 2008-2040. At Baseline, 1-2 cases per year of cancer attributable to MSW plants were estimated, as well as 26 cases per year of adverse pregnancy outcomes (including low birth weight and birth defects), 102 persons with respiratory symptoms, and about a thousand affected from annoyance caused by odours. These annual estimates are translated into 2,725 years of life with disability (DALYs) estimated for the entire period. The DALYs are reduced by approximately 20% and 80% in the two future scenarios. Even in these cases, health impact is given by the greater effects on pregnancy and the annoyance associated with the odours of plants. In spite of the limitations due to the inevitable assumptions required by the present exercise, the proposed methodology is suitable for a first approach to assess different policies that can be adopted in regional planning in the field of waste management. The greatest reduction in health impact is achieved with a virtuous policy of reducing waste production and a significant increase in the collection and recycling of waste.

[Methods for health impact assessment of policies for municipal solid waste management: the SESPIR Project]. / Metodologia di valutazione degli impatti sulla salute delle politiche di gestione dei rifiuti solidi urbani: il Progetto SESPIR.

The Project Epidemiological Surveillance of Health Status of Resident Population Around the Waste Treatment Plants (SESPIR) included five Italian regions (Emilia-Romagna, Piedmont, Lazio, Campania, and Sicily) and the National Institute of Health in the period 2010-2013. SESPIR was funded by the Ministry of Health as part of the National centre for diseases prevention and control (CCM) programme of 2010 with the general objective to provide methods and operational tools for the implementation of surveillance systems for waste and health, aimed at assessing the impact of the municipal solid waste (MSW) treatment cycle on the health of the population. The specific objective was to assess health impacts resulting from the presence of disposal facilities related to different regional scenarios of waste management. Suitable tools for analysis of integrated assessment of environmental and health impact were developed and applied, using current demographic, environmental and health data. In this article, the methodology used for the quantitative estimation of the impact on the health of populations living nearby incinerators, landfills and mechanical biological treatment plants is showed, as well as the analysis of three different temporal scenarios: the first related to the existing plants in the period 2008-2009 (baseline), the second based on regional plans, the latter referring to MSW virtuous policy management based on reduction of produced waste and an intense recovery policy.

[Health impact assessment of airport noise on people living nearby six Italian airports]. / Valutazione dell'impatto del rumore aeroportuale sulla salute della popolazione residente nelle vicinanze di sei aeroporti italiani.

BACKGROUND: aircraft noise has been associated with several health effects. Because of the great success of low-cost flights, small airports have been turned into international airports thus exposing nearby residents to an increase in noise levels and potential disturbances and health disorders. OBJECTIVE: to estimate the exposure levels and evaluate the health impact of aircraft noise on residents nearby six airports in Italy (Rome: Ciampino; Milan: Linate and Malpensa; Pisa; Turin; Venice) focusing on hypertension, acute myocardial infarction (AMI), annoyance and sleep disturbances. METHODS: residents in the local Municipalities considered at 31.12.2010 were included in the study and their addresses were geocoded. Aircraft noise exposure in 2011 was defined using the Integrated Noise Model linked to each participant's address. Lden (<55, 55-60, 61-65, 65-70 dB), Lnight, Leq (day and night) were calculated. Available exposure-response relationships were used to estimate the number of additional cases of hypertension, AMI, annoyance and sleep disturbances in the local population. RESULTS: 73,272 persons exposed to aircraft noise levels >55dB were considered: 55,915 (76.3%) were exposed to 55-60 dB; 16,562 (22.6%) to 60-65 dB; 795 (1.2%) to 65-70 dB. Exposure to aircraft noise levels above 55 dB was estimated to be responsible each year of 4,607 (95%CI 0-9,923) additional cases of hypertension; 3.4 (95%CI 0-10.7) cases of AMI; 9,789 (95%CI 6,895-11,962) cases of annoyance; 5,084 (95%CI 1,894-10,509) cases of sleep disturbances. CONCLUSIONS: a significant impact of airport noise on the health of residents nearby six Italian airports was estimated. Epidemiological evaluation and noise mitigation measures should be introduced to protect the health of residents.

Socioeconomic status and hospitalization in the very old: a retrospective study.

BACKGROUND: Socioeconomic status could affect the demand for hospital care. The aim of the present study was to assess the role of age, socioeconomic status and comorbidity on acute hospital admissions among elderly. METHODS: We retrospectively examined the discharge abstracts data of acute care hospital admissions of residents in Rome aged 75 or more years in the period 1997-2000. We used the Hospital Information System of Rome, the Tax Register, and the Population Register of Rome for socio-economic data. The rate of hospitalization, modified Charlson's index of comorbidity, and level of income in the census tract of residence were obtained. Rate ratios and 95% confidence limits were computed to assess the relationship between income deciles and rate of hospitalization. Cross-tabulation was used to explore the distribution of the index of comorbidity by deciles of income. Analyses were repeated for patients grouped according to selected diseases. RESULTS: Age was associated with a marginal increase in the rate of hospitalization. However, the hospitalization rate was inversely related to income in both sexes. Higher income was associated with lower comorbidity. The same associations were observed in patients admitted with a principal diagnosis of chronic condition (diabetes mellitus, heart failure, chronic obstructive pulmonary disease) or stroke, but not hip fracture. CONCLUSION: Lower social status and associated comorbidity, more than age per se, are associated with a higher rate of hospitalization in very old patients.

Socioeconomic differentials in premature mortality in Rome: changes from 1990 to 2001.

BACKGROUND: While socioeconomic inequalities in mortality have widened in many countries, evidence of social differentials is scarce in Southern Europe. We studied temporal changes in premature mortality across socioeconomic groups in Rome between 1990 and 2001. METHODS: We analysed all 126,511 death certificates of residents of Rome aged 0-74 years registered between 1990-2001. A 4-level census block index based on the 1991 census was used as an indicator of socioeconomic position (SEP). Using routine mortality data, standardised mortality rates (per 100,000 inhabitants) were calculated by SEP and gender for four time periods. Rate ratios were used to compare mortality by gender and age. RESULTS: Overall premature mortality decreased in both genders and in all socioeconomic groups; the change was greater in the highest socio-economic group. In both men and women, inequalities in mortality strengthened during the 1990s and appeared to stabilise at the end of the 20th century. However, for 60-74 year old women the gap continued to widen. CONCLUSION: Socioeconomic inequalities in health in Rome are still present at the beginning of the 21st century. Strategies to monitor the impact of SEP on mortality over time in different populations should be implemented to direct health policies.

Associations of area based deprivation status and individual educational attainment with incidence, treatment, and prognosis of first coronary event in Rome, Italy.

BACKGROUND: Socioeconomic gradients in the occurrence of myocardial infarction are well known, but few studies have examined socioeconomic disparities in post-infarction outcomes. The objective of this study was to explore relations of socioeconomic status with the incidence, treatment, and outcome of first coronary event in Rome, Italy, during the period 1998-2000, examining effect modification by gender. METHODS: Subjects were Rome residents aged 35-84 years who died from first acute coronary event before reaching the hospital (n=3470) or were hospitalised for first acute myocardial infarction (n=8467). Area based deprivation status and patients' educational attainment were the exposure variables. The outcomes were: incidence of coronary event; recanalisation at the index hospitalisation and fatality within 28 days of hospitalisation; cardiac readmissions and fatality between 28 days and one year of index hospitalisation. RESULTS: Incidence rates increased as area based deprivation status increased; the effect was stronger among women than among men (men RR=1.40, 95%CI:1.30, 1.50, women RR=1.78, 95%CI:1.60, 1.98, most compared with least deprived). Rates of recanalisation were significantly lower in the most deprived patients than in the least deprived (OR=0.77, 95%CI:0.59, 0.99) and in the less educated than in the highly educated (OR=0.73, 95%CI:0.58, 0.90). Associations of short term fatality with area based deprivation status and educational attainment were weak and inconsistent. However, neither deprivation status nor education was associated with one year outcomes. CONCLUSIONS: Area based deprivation status is strongly related to incidence of coronary events, and more so among women than among men. Deprivation status and educational attainment are weakly and inconsistently associated with short term fatality but seem not to influence one year prognosis of acute myocardial infarction. Deprived and less educated patients experience limited access to recanalisation procedures.

Differences in access to coronary care unit among patients with acute myocardial infarction in Rome: old, ill, and poor people hold the burden of inefficiency.

BACKGROUND: Direct admission to Coronary Care Unit (CCU) on hospital arrival can be considered as a good proxy for adequate management in patients with acute myocardial infarction (AMI), as it has been associated with better prognosis. We analyzed a cohort of patients with AMI hospitalized in Rome (Italy) in 1997-2000 to assess the proportion directly admitted to CCU and to investigate the effect of patient characteristics such as gender, age, illness severity on admission, and socio-economic status (SES) on CCU admission practices. METHODS: Using discharge data, we analyzed a cohort of 9127 AMI patients. Illness severity on admission was determined using the Deyo's adaptation of the Charlson's comorbidity index, and each patient was assigned to one to four SES groups (level I referring to the highest SES) defined by a socioeconomic index, derived by the characteristics of the census tract of residence. The effect of gender, age, illness severity and SES, on risk of non-admission to CCU was investigated using a logistic regression model (OR, CI 95%). RESULTS: Only 53.9% of patients were directly admitted to CCU, and access to optimal care was more frequently offered to younger patients (OR = 0.35; 95%CI = 0.25-0.48 when comparing 85+ to >=50 years), those with less severe illness (OR = 0.48; 95%CI = 0.37-0.61 when comparing Charlson index 3+ to 0) and the socially advantaged (OR = 0.81; 95%CI = 0.66-0.99 when comparing low to high SES). CONCLUSION: In Rome, Italy, standard optimal coronary care is underprovided. It seems to be granted preferentially to the better off, even after controversial clinical criteria, such as age and severity of illness, are taken into account.