Residential exposure to air pollution and incidence of leukaemia in the industrial area of Viadana, Northern Italy.

BACKGROUND: Exposure to air pollution has been proposed as one of the potential risk factors for leukaemia. Work-related formaldehyde exposure is suspected to cause leukaemia. METHODS: We conducted a nested register-based case-control study on leukaemia incidence in the Viadana district, an industrial area for particleboard production in Northern Italy. We recruited 115 cases and 496 controls, frequency-matched by age, between 1999 and 2014. We assigned estimated exposures to particulate matter (PM10, PM2.5), nitrogen dioxide (NO2), and formaldehyde at residential addresses, averaged over the susceptibility window 3rd to 10th year prior to the index date. We considered potential confounding by sex, age, nationality, socio-economic status, occupational exposures to benzene and formaldehyde, and prior cancer diagnoses. RESULTS: There was no association of exposures to PM10, PM2.5, and NO2 with leukaemia incidence. However, an indication of increased risk emerged for formaldehyde, despite wide statistical uncertainty (OR 1.46, 95%CI 0.65-3.25 per IQR-difference of 1.2 µg/m3). Estimated associations for formaldehyde were higher for acute (OR 2.07, 95%CI 0.70-6.12) and myeloid subtypes (OR 1.79, 95%CI 0.64-5.01), and in the 4-km buffer around the industrial facilities (OR 2.78, 95%CI 0.48-16.13), although they remained uncertain. CONCLUSIONS: This was the first study investigating the link between ambient formaldehyde exposure and leukaemia incidence in the general population. The evidence presented suggests an association, although it remains inconclusive, and a potential significance of emissions related to industrial activities in the district. Further research is warranted in larger populations incorporating data on other potential risk factors.

An occupational health risk index: definition, description and mapping at municipality level.

OBJECTIVES: to develop an occupational health risk index that can help to introduce the occupational risk component into epidemiological studies and assess the level of occupational risk in Italian municipalities useful for supporting prevention measures. DESIGN: defi nition of a municipal index as a combination of occupational and territorial indicators derived from national registers of occupational data and environmental archives. SETTING AND PARTICIPANTS: the index composition is based on data on work injuries, occupational diseases and workers exposed to carcinogens in the years 2015-2019 available at the municipal level, as well as data on municipalities hosting sites of national interest for environmental remediation (SIN) and those in which big industrial facilities (GIE), registered as pollutant emitters, are located. MAIN OUTCOME MEASURES: standardized rates of occupational injuries and occupational diseases occurred in Italian municipalities were calculated from data collected by the Italian National Institute for Insurance against Accidents at Work (Inail) in relation to the working-age population (15-69 and 15+ for injuries and occupational diseases, respectively), estimated by the Italian National Statistical Institute (Istat) in 2018. In addition, data from the National Information System on Occupational Exposure to carcinogens (SIREP) were included, from which raw rates were calculated at municipal level. Finally, two other indicators were included, describing the presence/absence of a SIN and the number of GIEs industrial facilities in each municipality. The index of occupational health risk (INDORS) is calculated by summing standardised values of the above fi ve indicators as a continuous variable and it was also classifi ed by quintiles of population as a categorical variable. The association between cause-specific mortality and INDORS levels was evaluated using data on mortality occurring in 2015. RESULTS: during the observation period 2,011,457, 131,353 and 140,183 events were recorded for injuries, occupational diseases and workers exposed to carcinogens, mainly among male workers. A municipal map of INDORS levels (1-5) shows a strong South-North gradient, in line with the Italian industrial geographical context. The contributions of the SIN and GIE indicators are higher in the hot spot municipalities located in the Southern regions and islands. Among the municipalities analysed 1,099 were classifi ed in the lowest risk level, 1,331 in the low-medium level, 1,619 in the medium level, 2,621 in the medium-high level and 1,284 in the highest risk level. The index shows a direct correlation with accidental mortality and an inverse correlation with all-cause and malignant neoplasm mortality. CONCLUSIONS: the proposed index can be useful to introduce the occupational risk dimension in ecological studies and results as a flexible tool to rank Italian municipalities in terms of occupational risk.

[Long-term exposure to air pollution and natural mortality: variations related to the use of different exposure indicators in the cohorts of BIGEPI project]. / Esposizione di lungo periodo all'inquinamento atmosferico e mortalità naturale: variazioni legate all'utilizzo di diversi indicatori di esposizione nelle coorti del progetto BIGEPI.

OBJECTIVES: appropriate assessment of exposure to air pollution is crucial for the estimation of adverse effects on human health, both in the short and long term. Within the BIGEPI project, different indicators of long-term exposure to air pollution, in association with mortality by cause, were tested within the Italian longitudinal metropolitan studies (LMS). This allowed an evaluation of differences in effect estimates using the different exposure indicators. DESIGN: closed cohort. SETTING AND PARTICIPANTS: subjects aged >=30, who took part in the 2011 census, residents in 5 cities (Turin, Bologna, Rome, Brindisi and Taranto). MAIN OUTCOME MEASURES: at the time of enrolment, residential exposure levels to particulate matter <=10 µm (PM10), PM <=2.5 µm (PM2.5), nitrogen dioxide (NO2) and ozone (O3) for the period April-September (O3 warm season) were obtained from models at different spatial resolutions, from 1x1km to 200x200m (from the BEEP project) to 100x100m (ELAPSE project). In addition, locally developed models were used in each area (FARM photochemical model at 1x1-km for the cities of Rome, Taranto and Brindisi, Land-Use Regression (LUR) model for the city of Turin, PESCO model for Bologna). Cox proportional hazards models were applied to assess the association between exposure to air pollution (assessed using different exposure indicators) and natural mortality, adjusting for both individual and area covariates. RESULTS: the exposure levels derived by the different models varied between pollutants, with differences between the averages ranging from 3 to 20% for PM10, from 1 to 23% for PM2.5, and from 3 to 28% for NO2; the results for O3 were more heterogeneous. A total of 267,350 deaths from natural causes were observed. There is low heterogeneity in the effect estimates calculated from different environmental models, while there is greater variability in average exposure values, with different behaviour depending on the model and the characteristics of the area investigated. Differences are more pronounced where local risk factors are relevant, e.g., in industrial cities, thus suggesting the need of considering industrial exposure separately from other sources. CONCLUSIONS: the numerous heterogeneities in the data used make it difficult to draw conclusions about the comparisons studied. Nevertheless, this study suggests that different approaches to the assessment of environmental exposure should be evaluated depending on the national or local level of interest, also according to the specifities of the investigated areas.

[Long-term exposure to air pollution and incidence of coronary heart diseases and stroke in the longitudinal metropolitan studies (LMS) network: the BIGEPI project]. / Esposizione di lungo periodo all'inquinamento atmosferico e incidenza di malattia coronarica acuta e ictus nella rete degli studi longitudinali metropolitani: il progetto BIGEPI.

OBJECTIVES: to assess the potential of using longitudinal metropolitan studies (LMS) to study the association between long-term exposure to air pollution and the incidence of acute coronary events and stroke. DESIGN: closed cohort. SETTING AND PARTICIPANTS: subjects aged >=30 years, who took part in the 2011 census, residents in 5 cities (Turin, Bologna, Rome, Brindisi and Taranto). Annual concentrations of particulate matter (PM10 and PM2.5), nitrogen dioxide (NO2) and warm-season ozone (O3) (annual O3 in Taranto and Brindisi), estimated through satellite (Turin, Bologna, Rome) or photochemical models (Taranto and Brindisi) with a spatial resolution of 1 km2, were assigned to the census address. MAIN OUTCOME MEASURES: incidence of coronary heart disease (CHD) and stroke until 31.12.2018 (2019 in Bologna). Cohort-specific Hazard Ratios (HRs), estimated using Cox regression models progressively adjusting for individual and contextual covariates, were pooled with random-effect meta-analysis. RESULTS: there were 71,872 incident CHD cases and 43,884 incident cases of stroke in almost 18 million person-years. No association was observed between the exposures studied and incidence of CHD and stroke, except for an increase in the incidence of CHD associated with warm-season O3 exposure (HR 1.034 per 5 µg/m3 increase). Some positive associations were found in specific cities (both outcomes in Brindisi with PM10 exposure and in Taranto with NO2 exposure, stroke in Rome with both PM10 and PM2.5), although estimates were not significant in some instances. CONCLUSIONS: LMS are a high potential tool for the study of comparative medium- and long-term effects of air pollution. Their further development (different definitions of exposure, outcomes, characteristics of the urban areas and extension to other LMS) may make them even more valuable tools for monitoring and planning public health interventions.

[BIGEPI project: environmental and health data]. / Progetto BIGEPI: dati ambientali e dati sanitari.

OBJECTIVES: the BIGEPI project, co-funded by INAIL, has used big data to identify the health risks associated with short and long-term exposure to air pollution, extreme temperatures and occupational exposures. DESIGN: the project consists of 5 specific work packages (WP) aimed at assessing: 1. the acute effects of environmental exposures over the national territory; 2. the acute effects of environmental exposures in contaminated areas, such as Sites of National Interest (SIN) and industrial sites; 3. the chronic effects of environmental exposures in 6 Italian longitudinal metropolitan studies; 4. the acute and chronic effects of environmental exposures in 7 epidemiological surveys on population samples; 5. the chronic effects of occupational exposures in the longitudinal metropolitan studies of Rome and Turin. SETTING AND PARTICIPANTS: BIGEPI analyzed environmental and health data at different levels of detail: the whole Italian population (WP1); populations living in areas contaminated by pollutants of industrial origin (WP2); the entire longitudinal cohorts of the metropolitan areas of Bologna, Brindisi, Rome, Syracuse, Taranto and Turin (WP3 and WP5); population samples participating in the epidemiological surveys of Ancona, Palermo, Pavia, Pisa, Sassari, Turin and Verona (WP4). MAIN OUTCOME MEASURES: environmental exposure: PM10, PM2,5, NO2 and O3 concentrations and air temperature at 1 Km2 resolution at national level. Occupational exposures: employment history of subjects working in at least one of 25 sectors with similar occupational exposures to chemicals/carcinogens; self-reported exposure to dust/fumes/gas in the workplace. Health data: cause-specific mortality/hospitalisation; symptoms/diagnosis of respiratory/allergic diseases; respiratory function and bronchial inflammation. RESULTS: BIGEPI analyzed data at the level of the entire Italian population, data on 2.8 million adults (>=30 yrs) in longitudinal metropolitan studies and on about 14,500 individuals (>=18 yrs) in epidemiological surveys on population samples. The population investigated in the longitudinal metropolitan studies had an average age of approximately 55 years and that of the epidemiological surveys was about 48 years; in both cases, 53% of the population was female. As regards environmental exposure, in the period 2013-2015, at national level average values for PM10, PM2.5, NO2 and summer O3 were: 21.1±13.6, 15.1±10.9, 14.7±9.1 and 80.3±17.3 µg/m3, for the temperature the average value was 13.9±7.2 °C. Data were analyzed for a total of 1,769,660 deaths from non-accidental causes as well as 74,392 incident cases of acute coronary event and 45,513 of stroke. Epidemiological investigations showed a high prevalence of symptoms/diagnoses of rhinitis (range: 14.2-40.5%), COPD (range: 4.7-19.3%) and asthma (range: 3.2-13.2%). The availability of these large datasets has made it possible to implement advanced statistical models for estimating the health effects of short- and long-term exposures to pollutants. The details are reported in the BIGEPI papers already published in other international journals and in those published in this volume of E&P. CONCLUSIONS: BIGEPI has confirmed the great potential of using big data in studies of the health effects of environmental and occupational factors, stimulating new directions of scientific research and confirming the need for preventive action on air quality and climate change for the health of the general population and the workers.

[The impact of the COVID-19 pandemic on the Italian and foreign population in the various phases: the results of an interregional multicentre project]. / L'impatto della pandemia di COVID-19 nella popolazione italiana e straniera residente nelle diverse fasi: i risultati di un progetto multicentrico inter-regionale.

OBJECTIVES: to analyze the difference of the SARS-CoV-2 infection impact between Italian and foreigner subjects, evaluating the trend of infections and access to diagnostic tests (molecular or antigenic swabs for the detection of SARS- CoV-2) in the two different populations, inducing the detection of new positive cases in the population. DESIGN: retrospective population study for the period February 2020-June 2021. SETTING AND PARTICIPANTS: Italian and foreign resident population on 1st January of the years 2020 and 2021 in the Regions participating to the project: Piedmont, Lombardy, Veneto, Emilia-Romagna (Northern Italy), Tuscany, Lazio (Central Italy), and Sicily (Southern Italy). MAIN OUTCOME MEASURES: in the two populations, for every week and aggregated by macropandemic period were calculated: • the test rate (people tested on the population); • the swab positivity rate (positive subjects on those who are tested); • the new positives (positive subjects on study population); • the percentage of foreigners among the new positive cases. The ratio of the value of the indicators in the foreign and Italian populations (with 95% confidence interval) was calculated to evaluate the association between nationality (Italian vs not Italian) and outcome. The analyses were conducted at the regional level and at pool level. RESULTS: the trend of new positives by nationality (Italian vs not Italian) has a similar tendency in the different pandemic waves. However, the incidence of new positives during pandemic waves among foreigners is lower than in Italians, while it tends to increase during intermediate periods. Except for the summer periods, foreigners are less tested than Italians, but the percentage of new positives out of the total of new ones tested is higher among foreigners compared to Italians. The relative weight of new positives among foreigners tends to increase in periods with the greatest risk of inflow of SARS-CoV-2 for foreigners. CONCLUSIONS: the epidemic trends in the two populations are similar, although foreigners tend to show lower incidence values, probably in part because they are tested less frequently. Furthermore, in foreigners compared to Italians, there is a greater risk of contracting SARS-CoV-2 infection, especially in periods of relaxation of containment Coronavirus measures, reopening of national borders, production and commercial activities.

Access to SARS-CoV-2 diagnostic tests: are there barriers for the immigrants in Italy?

OBJECTIVES: to describe the epidemiology of SARS-CoV-2 infection in relation with the use of nasal swabs in the immigrant population in Italy, using data from the COVID-19 national surveillance system and to verify if a difference is present comparing natives and immigrant. DESIGN: descriptive study based on longitudinal health-administrative data. SETTING AND PARTICIPANTS: general population of six Italian Regions (Piedmont, Lombardy, Veneto, Emilia-Romagna, Tuscany, Lazio) covering about 55% of the resident population and 72% of foreigners' population. MAIN OUTCOME MEASURES: regional rates of access to at least a nasal swab, separately by country of origin. RESULTS: across all the periods, a lower rate in the foreigners' group was observed, with the only exception of the period May-June 2021. Considering separately High Migratory Pressure Countries (HMPCs) and Highly Developed Countries (HDCs), a higher proportion of nasal swabs performed in people coming from HDC with respect to HMPCs and natives was noticed. This observation is consistent in males and females. CONCLUSIONS: during the first wave of the pandemic, Italians have had a higher proportion of nasal swabs compared to migrants across all Regions. This difference disappeared in the following periods, probably due to a major availability of diagnostic tests.

[SARS-CoV-2 epidemic among Italians e resident immigrant population: differential incidence from an interregional multicentre study]. / L'epidemia di SARS-CoV-2 nella popolazione italiana e straniera: differenze di incidenza che emergono da uno studio multicentrico interregionale.

OBJECTIVES: to describe differences in the incidence of SARS-CoV-2 infections between Italians and foreigners residing in seven Italian Regions during the different phases of the pandemic and by gender. DESIGN: retrospective observational study. SETTING AND PARTICIPANTS: all confirmed SARS-CoV-2 infections from 02.02. 2020 to 16.07.2021 in the seven Regions under study were included. Italian resident population calculated by the National Institute of Statistics as of 01.01.2020 was used to calculate the rates. The considered period is divided into 5 sub-periods (phases). MAIN OUTCOME MEASURES: number of confirmed SARS-CoV-2 infections in the five phases of the pandemic and crude rates by citizenship (Italian vs foreign). Distribution of infections by age group and by week. Crude and age-adjusted incidence rates ratios (IRR) were calculated, by Region, gender, and phase of the pandemic. RESULTS: an epidemic curve delay was observed in foreigners in the first phase of the epidemic, in particular in the northern Regions, the most affected in that phase. The first phase of the epidemic was characterized by a greater proportion of cases occurred in people aged over 60 years than the other phases, both in Italians and in foreigners. The incidence among foreigners is higher during the summer of 2020 (intermediate period: June-September 2020) and during the last period (May-July 2021) in all Regions. The overall figure shows a lower incidence among foreigners than Italians, except for males in Tuscany. CONCLUSIONS: the lower incidence rates among foreigners should be interpreted with caution as the available data suggest that it is at least partly attributable to less access to diagnostic tests. Regional differences found in the study deserve further research together with the effect of gender and country of origin.

[Hospital assistance for COVID-19: a comparison between non-Italian and Italian resident population in five Italian Regions since the beginning of the pandemic until June 2021]. / Un confronto tra italiani e stranieri residenti nell'assistenza ospedaliera per COVID-19 in cinque Regioni italiane da inizio pandemia a giugno 2021.

OBJECTIVES: to describe trends of overall and intensive care hospitalization for COVID-19 since the beginning of the pandemic in Italy until June 2021, and to compare the results between foreign and Italian population. DESIGN: retrospective observational study. SETTING AND PARTICIPANTS: hospital discharges of 28 million people living in Lombardy, Piedmont, Emilia-Romagna (Northern Italy), Toscana and Lazio (Central Italy) occurred between 22.02.2020 and 02.07.2021 in the hospitals located in each considered Region. MAIN OUTCOME MEASURES: two weekly outcomes were examined: 1. the overall number of COVID-19 hospitalizations; 2. the number of COVID-19 hospitalizations in intensive care units. RESULTS: a higher COVID-19 overall and intensive care unit hospitalization was found among the foreign population compared to Italians. The association emerged only after the adjustment for age, and it was consistent among all Regions, though less marked in Lombardy. The association varied across epidemic phases. CONCLUSIONS: the issue of vulnerability of migrants to the risk of severe COVID-19 calls for a diversity-sensitive approach in prevention. The specific country of origin and the prevalence of preventable co-morbidities that are often underestimated in the migrant populations, and related to COVID-19 complications, should be taken into consideration in future analyses.

[Mortality and impact of COVID-19 by citizenship in seven Italian Regions from the beginning of the pandemic to mid-July 2021]. / Mortalità per COVID-19 nella popolazione immigrata in sette Regioni italiane da inizio pandemia a metà luglio 2021.

OBJECTIVES: to quantify the variability of COVID-19 mortality from the beginning of the pandemic to mid-July 2021, in relation to the immigrant status and by Region and period. DESIGN: observational incidence study. SETTING AND PARTICIPANTS: the study population consists of the residents at the beginning of 2020 in seven Regions (Piedmont, Lombardy, Veneto, Emilia-Romagna, Tuscany, Lazio, Sicily) aged <=74 years. MAIN OUTCOME MEASURES: absolute frequency of deaths occurred in subjects who tested positive for SARS-CoV-2, crude and standardized rates (standard: Italian population at the beginning of 2020), and mortality rates ratios (obtained using Poisson models), by immigrant status and stratified by gender, Region of residence, and period. The study period was divided into 5 subperiods: 22.02.2020-25.05.2020, 26.05.2020-02.10.2020, 03.10.2020-26.02.2021, 27.02.2021-16.07.2021. RESULTS: the study includes more than one half of the Italian population and most of the immigrants residing in the country, who are younger than Italians and experienced fewer COVID-19 deaths. Deaths among those who tested positive varied greatly between Regions and periods; standardized rates showed considerable increases over time among immigrants. In terms of rate ratios, there were excesses among immigrant males in the third period (MRR: 1.46; 95%CI 1.30-1.65) and in the fourth period (MRR: 1.55; 95%CI 1, 34-1.81). Among immigrant females, there is an indication of lower risk in the third period (MRR: 0.79; 95%CI 0.65-0.97) and of greater risk in the fourth period (MRR: 1. 46; 95%CI 1.21-1.77). Finally, the effect is modified by the Region of residence, both in the third and in the fourth period for males and only in the fourth period for females. CONCLUSIONS: the risk of premature mortality due to COVID-19 is linked to immigrant status and with an intensity that varies by gender, Region, and period. More accessible tools for prevention, diagnosis and early healthcare can support immigrant communities in managing the risk factors linked to the spread of infections and, in particular, counteract their evolution into more severe disease outcomes.

Educational inequalities in the prevalence and outcomes of diabetes in the Emilian Longitudinal Study.

BACKGROUND AND AIM: Studies carried out in Italy in the last decades reported an effect modification in the association between socioeconomic position and diabetes outcomes, and the disease integrated care approach has been suggested as an explanatory factor. Whether this is true in Emilia-Romagna region in recent years is unknown and the aim of this study is to describe the role of educational level both on diabetes prevalence and health outcomes among the adult population with and without diabetes enrolled in the Emilian Longitudinal Study. METHODS AND RESULTS: Inequalities in diabetes prevalence were evaluated through standardised estimates and prevalence ratios by educational level and inequalities in outcomes through standardised hospitalisation and mortality ratios and rate ratios by educational level. The lower the education the greater the diabetes prevalence; such differences were larger among women and younger age groups. Diabetes conferred a higher risk of hospitalisation and mortality; those outcomes also presented a social gradient with the less educated bearing the higher risk. However, educational differences were slightly stronger among the disease-free subjects, especially in the case of mortality. In both genders, inequalities tended to disappear with age. CONCLUSION: This study confirms that diabetes increases the risk of unfavourable outcomes, but does not increase social inequalities in outcomes as might be expected. Similarly to what has been previously shown, it is likely that the protective effect of diabetes on the negative health effects of the low social position is attributable to the disease integrated care approach.

Avoidable hospitalisation for diabetes mellitus among immigrants and natives: Results from the Italian Network for Longitudinal Metropolitan Studies.

BACKGROUND AND AIMS: Italy has experienced a relevant increase in migration inflow over the last 20 years. Although the Italian Health Service is widely accessible, immigrants can face many barriers that limit their use of health services. Diabetes mellitus (DM) has a different prevalence across ethnic groups, but studies focusing on DM care among immigrants in Europe are scarce. This study aimed to compare the rates of avoidable hospitalisation (AH) between native and immigrant adults in Italy. METHODS AND RESULTS: A multi-centre open cohort study including all 18- to 64-year-old residents in Turin, Venice, Reggio-Emilia, Modena, Bologna and Rome between 01/01/2001 and 31/12/2013-14 was conducted. Italian citizens were compared with immigrants from high migratory pressure countries who were further divided by their area of origin. We calculated age-, sex- and calendar year-adjusted rate ratios (RRs) and 95% confidence intervals (95% CIs) of AH for DM by citizenship using negative binomial regression models. The RRs were summarized using a random effects meta-analysis. The results showed higher AH rates among immigrant males (RR: 1.63, 95% CI: 1.16-2.23), whereas no significant difference was found for females (RR: 1.14, 95% CI: 0.65-1.99). Immigrants from Asia and Africa showed a higher risk than Italians, whereas those from Central-Eastern Europe and Central-Southern America did not show any increased risk. CONCLUSION: Adult male immigrants were at higher risk of experiencing AH for DM than Italians, with differences by area of origin, suggesting that they may experience lower access to and lower quality of primary care for DM. These services should be improved to reduce disparities.

Potentially avoidable hospitalization for asthma in children and adolescents by migrant status: results from the Italian Network for Longitudinal Metropolitan Studies.

BACKGROUND: Global migration toward Europe is increasing. Providing health assistance to migrants is challenging because numerous barriers limit their accessibility to health services. Migrants may be at a greater risk of developing asthma and receiving lower quality healthcare assistance than non-migrants. We aim to investigate whether immigrants as children and adolescents have higher rates of potentially avoidable hospitalization (PAH) for asthma compared to Italians. METHODS: We performed a retrospective longitudinal study using six cohorts of 2-17-year-old residents in North and Central Italy from 01/01/2001 to 31/12/2014 (N = 1,256,826). We linked asthma hospital discharges to individuals using anonymized keys. We estimated cohort-specific age and calendar-year-adjusted asthma PAH rate ratios (HRRs) and 95% confidence intervals (95%CIs) among immigrants compared to Italians. We applied a two-stage random effect model to estimate asthma PAH meta-analytic rate ratios (MHRRs). We analyzed data by gender and geographical area of origin countries. RESULTS: Three thousand three hundred four and 471 discharges for asthma PAH occurred among Italians and immigrants, respectively. Compared to Italians, the asthma PAH cohort-specific rate was higher for immigrant males in Bologna (HRR:2.42; 95%CI:1.53-3.81) and Roma (1.22; 1.02-1.45), and for females in Torino (1.56; 1.10-2.20) and Roma (1.82; 1.50-2.20). Asthma PAH MHRRs were higher only among immigrant females (MHRRs:1.48; 95%CI:1.18-1.87). MHRRs by area of origin were 63 to 113% higher among immigrants, except for Central-Eastern Europeans (0.80; 0.65-0.98). CONCLUSION: The asthma PAH meta-analytic rate was higher among female children and adolescent immigrants compared to Italians, with heterogeneity among cohorts showing higher cohort-specific PAH also among males, with some differences by origin country. Access to primary care for children and adolescent immigrants should be improved and immigrants should be considered at risk of severe asthma outcomes and consequently targeted by clinicians.

[Urbanisation degree and mortality by education level in the Emilia-Romagna Longitudinal Study (Northern Italy)]. / Grado di urbanizzazione e mortalità per livello di istruzione nello Studio Longitudinale dell'Emilia-Romagna.

OBJECTIVES: to present the Longitudinal Study of Emilia-Romagna (SLER) and evaluate whether the effect of the education level on premature mortality is modified by the degree of urbanisation. DESIGN: closed cohort study. SETTING AND PARTICIPANTS: population aged >=30 years, resident in Emilia-Romagna Region (Northern Italy) and registered in the 2011 Italian Census, followed up until death, emigration, attainment of 75th year of age, or end of 2018. MAIN OUTCOME MEASURES: overall and cause-specific premature mortality (malignant tumours, lung and breast tumours, diseases of the circulatory system, respiratory system and digestive system, road accidents, death of despair, alcohol-related causes). RESULTS: the study population consisted of 2,579,936 individuals (15,508,972 person-years and 71,213 deaths). The population was equally distributed across the three degrees of urbanisation, but the prevalence of highly educated subjects was lower in the sparsely populated areas than in cities (12.9% vs 27.7%). The higher risk of mortality among the low educated was greatest, particularly among males, in the cities (MRR 1.68; 95%CI 1.62-1.75), lowest in the intermediate density areas (MRR 1.47; 95%CI 1.40-1.55), and not negligible among women. The interaction between education level and degree of urbanisation was significant for all-cause mortality, mortality from cardiovascular diseases, malignant tumours, especially lung cancer, road accidents (only among men). Among women, there were signs of an effect modification on mortality from diseases of respiratory and digestive systems. CONCLUSIONS: this first application of the SLER revealed that the mortality gradient by education level is greater in the cities, especially among men. These results deserve to be further explored through the analysis of other health outcomes and the investigation of the main drivers of the greater socioeconomic disadvantage observed in the cities.

Socioeconomic inequalities in overall and COVID-19 mortality during the first outbreak peak in Emilia-Romagna Region (Northern Italy).

OBJECTIVES: to provide a description of inequalities in overall and COVID-19 mortality by ecological socioeconomic measures (ESEMs) during the first outbreak peak (March and April 2020) in Emilia-Romagna Region. DESIGN: cross-sectional study based on the record linkage of the COVID-19 notification system, the regional population health register and the 2011 census data. SETTING AND PARTICIPANTS: residents in Emilia-Romagna who were grouped according to three ESEMs calculated at census block level: the index of deprivation, the household crowding, and the percentage of the foreign resident population. MAIN OUTCOME MEASURES: counts of all deaths and those directly attributable to COVID-19. The association between mortality and ESEMs was assessed through rate differences and mortality rate ratios, estimated through Poisson models. RESULTS: during the outbreak peak, the nine provinces of the Emilia-Romagna Region were unequally hit by the COVID-19 outbreak, with Piacenza recording the highest COVID-19 absolute death toll and Ferrara the lowest. The overall and COVID-19 mortality burden was unequal also in terms of ecological socioeconomic measures. Percentage differences in the age-standardised mortality rates between the least and the most disadvantaged census blocks were greater for COVID-19 mortality than for overall mortality, suggesting that the Coronavirus outbreak has had a stronger impact on the most socioeconomically deprived areas. Although clear gradients were not always present, people living in the most disadvantaged census blocks experienced the highest absolute and relative risk of dying. Rate differences were larger among men, but mortality rate ratios were not always greater among men than women, especially for the COVID-19 mortality. CONCLUSIONS: these descriptive yet informative results are relevant to document inequalities and inform regional public health policies and interventions in case of new COVID-19 surges.

Status inconsistency and mortality in the immigrant population in the Turin and the Emilian Longitudinal Studies.

OBJECTIVES: to compare the educational gradient in mortality between Italians and immigrants and to assess the hypothesis of status inconsistency in the immigrant population, evaluating the relationship between educational qualification and occupational class. DESIGN: multicentre longitudinal study. SETTING AND PARTICIPANTS: subjects aged 30-64 years, resident in Turin, Bologna, Modena, or Reggio Emilia who took part in the 2011 Census and followed up until 31.12.2018. MAIN OUTCOME MEASURES: all-cause mortality by educational qualification and occupational class was compared between Italians and immigrants from High Migratory Pressure countries; analyses were carried out using mortality rate ratios (MRR) and relative index of inequality (RII), applying Poisson models, adjusted for city, calendar period, age, and macroareas of origin, stratified by gender. RESULTS: occupational class among immigrants is evenly distributed across educational qualifications. Compared with Italians, immigrant men and women had a weaker and non-significant inverse educational gradient in mortality, which did not change substantially after the adjustment for occupational class. CONCLUSIONS: the results support the status inconsistency hypothesis, which may be partly responsible for the observed flattening of the educational gradients. The macroarea of origin appears to be a key determinant of mortality inequalities. Therefore, the use of educational qualification in exploring health inequalities among immigrants should be always complemented with other indicators of socioeconomic position and migratory history.

[Update and review of the 2011 Italian deprivation index calculated at the census section level]. / Aggiornamento e revisione dell'indice di deprivazione italiano 2011 a livello di sezione di censimento.

OBJECTIVES: to produce for the national territory as a whole a deprivation index (ID) at the census section level, based on 2011 census data, in the same way as the Italian index based on the 2001 census, revising the formulation of some indicators. SETTING AND PARTICIPANTS: the study uses the individual data of the general population and housing census of 2011. For the calculation of the index five conditions were chosen that best describe the multidimensional concept of social and material deprivation: low level of education, being unemployed, living in rent, living in crowded house, living in a single-parent family. The index is calculated as the sum of standardized indicators and is also available categorized into quintiles. Compared to the previous formulation of the ID, the proposed revised ID made use of a low education indicator limited to the age group 15-60; for what concerns single-parent families, only the cohabitations with minor children is considered. MAIN OUTCOME MEASURES: reformulated ID and comparison measures between the two indices (correlation, kappa statistic). RESULTS: the revised index, compared with the previous one, a different quintile distribution for a significant share of census sections, with the exception of the first and fifth quintiles (that of the least deprived and the most deprived ones). CONCLUSION: given that in this field of study should be taken for granted the inexistence of a method that produces results objectively and universally valid, the review of the index proposed in this study starts from the availability of analytical data that allowed to overcome some constraints that had induced the choices of the ID proposed in 2010. Anyway, both the original and the revised index produce reliable and consistent results.

[Trends in educational inequalities in premature mortality between 2001 and 2016: results from the Emilian Longitudinal Study]. / Andamento delle disuguaglianze per livello di istruzione nella mortalità prematura tra il 2001 e il 2016 nello Studio longitudinale emiliano.

OBJECTIVES: to describe changes in relative and absolute inequalities in mortality by education level between 2001 and 2016 in the Emilian longitudinal study (SLEm) and to estimate the impact of these inequalities at population level. DESIGN: closed cohort study based on record-linkage between municipal population registries, Census archives of 2001 and 2011, and the mortality register. SETTING AND PARTICIPANTS: 2001- and 2011-Census respondents >=30 years old residing in Bologna, Modena, or Reggio Emilia followed up to the age of 75 years, death, emigration, or end of follow-up (December 2006 or December 2016). MAIN OUTCOME MEASURES: premature mortality for all causes and for 16 groups of causes known to be associated with socioeconomic position. In order to capture various aspects of the inequalities, the association with the education level is assessed through summary regression-based indexes (Relative and Slope Index of Inequality) and the Attributable Population Fraction. RESULTS: premature mortality declined across all educational level between 2001-2006 and 2011-2016; declines were greater among men than women. Among men, relative inequalities in mortality slightly increased (RII from 1.86 in 2001 to 2.13 in 2011), while absolute inequalities declined (SII from 382.3 to 360.6). Among women, both relative and absolute inequalities increased (RII from 1.23 to 1.65, SII from 73.7 to 137.4). Educational inequalities in lung cancer, respiratory and cerebrovascular diseases mortality decreased among men and increased among women. The proportion of the low educated shrank over time (men: from 40% to 36%; women: from 43% to 35%); nonetheless, the fraction of the deaths attributable to educational inequalities showed an upward tendency (from 18.5% to 21.9% in men and from 9.7% to 15.6% in women); the groups of causes that contribute most to this increase were malignant cancers, especially lung cancer, diseases of the circulatory and respiratory systems, and accidents. CONCLUSIONS: relative inequalities slightly increased in both genders, while absolute inequalities only in women. A reduction in the population impact could be achieved by tackling educational inequalities in mortality due to lung cancer, diseases of the circulatory and respiratory systems, and accidents.

[Environmental justice promotion in industrially contaminated sites]. / Promozione della giustizia ambientale nei siti industriali contaminati.

The communities residing close to industrially contaminated sites are often affected by several fragilities, particularly of a socioeconomic nature. The disadvantaged conditions have often resulted from their marginalization in the decision-making related to the industrialization processes and may persist even when action is taken to limit the harmful consequences for the natural and social environment. Exposure to contaminants and the resulting health risks often regard socioeconomic deprived communities or the most disadvantaged subgroups, generating conditions of environmental injustice. This paper reports the results of a multidisciplinary reflection focusing on the Italian context. It describes how the national epidemiological surveillance system of communities residing close to industrially contaminated sites (named SENTIERI) and local epidemiological surveillance systems can be implemented to document local conditions of distributive injustice (inequalities in harmful exposures and consequent health risks). Furthermore, it analyses the mechanisms for generating and maintaining marginalities that prevent local communities from participating in decision-making processes (procedural injustice). Finally, after having identified and described the dimensions of community capacity, which concern both to the understanding of the adverse effects of environmental contamination and to the capability of promoting interventions against environmental injustices, it proposes an environmental justice promotion approach that starts from mapping the dimensions of community capacity as a premise to the identification of interventions for community empowerment.

[Evaluating health care of the immigrant population in Italy through indicators of a national monitoring system]. / Valutazione dell'assistenza sanitaria della popolazione immigrata in Italia attraverso alcuni indicatori di un sistema nazionale di monitoraggio.

OBJECTIVES: to evaluate maternal and child healthcare, avoidable hospitalisation, access to emergency services among immigrants in Italy. DESIGN: cross sectional study of some health and health care indicators among Italian and foreign population residing in Italy in 2016-2017. SETTING AND PARTICIPANTS: indicators based on the national monitoring system coordinated by the Italian National Institute for Health, Migration and Poverty (INMP) of Rome, calculated on perinatal care (CedAP), hospital discharge (SDO), emergency services (EMUR) archives for the years 2016-2017, by of the following regions: Piedmont, Trento, Bolzano, Emilia-Romagna, Tuscany, Umbria, Lazio, Basilicata, Sicily. MAIN OUTCOME MEASURES: number and timeliness of pregnancy visits, number of ultrasounds, invasive prenatal investigations; perinatal mortality rates, birth weight, Apgar score at 5 minutes, need for neonatal resuscitation; standardized rates of avoidable hospitalisation and access to emergency services by triage code. RESULTS: more often than Italians, immigrant women have during pregnancy: less than 5 gynaecological examination (16.3% vs 8.5%), first examination after the 12th week of gestational age (12.5% vs 3.8%), less than 2 ultrasounds (3.8% vs 1.0%). Higher perinatal mortality rates among immigrants compared to Italians (3.6 vs 2.3 x1,000). Higher standardized rates (x1,000) among immigrants compared to Italians of avoidable hospitalisation (men: 2.1 vs 1.4; women: 0.9 vs 0.7) and of white triage codes in emergency (men: 62.0 vs 32.7; women: 52.9 vs 31.4). CONCLUSIONS: study findings show differences in access and outcomes of healthcare between Italians and immigrants. National monitoring system of indicators, coordinated by INMP, represents a useful tool for healthcare intervention policies aimed to health equity.