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Objectives: to describe indicators, data sources, and levels of geographical stratification used within the framework of the CCM project "Epidemiological Surveillance and Control of COVID-19 in Metropolitan Urban Areas and for the containment of SARS-CoV-2 circulation in the immigrant population in Italy"., Design: population-based observational study based on data from the Integrated Covid-19 Surveillance System and the archive of hospital discharge records., Setting and Participants: interregional collaborative project. Resident population in 5 Italian Regions (Piedmont, Emilia-Romagna, Tuscany, Lazio, and Sicily)., Main Outcomes Measures: crude and age-standardized rates of diagnostic test utilization and positivity, hospitalization (in any department and in intensive care unit), and mortality in COVID-19 cases., Results: starting from the set of 11 indicators from the Italian National Institute for Health, Migration and Poverty (INMP) project "Epidemiology of SARS-CoV-2 Infection (COVID-19) and Use of Health Services in the Immigrant Population and Vulnerable Population Groups in Italy", the five most effective indicators for CCM purposes were identified. The INMP project highlighted higher rates of test access and positivity among Italians compared to foreigners, higher standardized hospitalization rates among foreigners, and higher standardized mortality rates among Italians, with geographical and temporal heterogeneity. The intersection between the DEGURBA (degree of urbanisation) classification and altimetric zones defined five levels of territorial stratification characterized by decreasing population density. Approximately 81% of the population involved in the CCM project resided in the first two levels; 43% of Italians lived in areas with intermediate population density in hilly or plain areas, while 48% of foreigners were concentrated in densely populated areas., Conclusions: sharing the collaborative approach and a research methodology already tested, integrated with the analysis of disaggregated indicators by morphological, functional, and administrative characteristics of the residential territory, allowed for assessing differences in the impact of the pandemic between Italians and foreigners residing in more or less densely populated areas.

Background: according to the literature, socially disadvantaged strata of the population, including immigrants, have been more vulnerable to the risk of SARS-CoV-2 infection due to greater exposure and less opportunity to protect themselves, and to COVID-19 complications due to metabolic and clinical risk factors as well as to healthcare access barriers. Two Italian projects - coordinated by the Italian National Institute for Health, Migration and Poverty and the Italian National Centre for Disease Prevention and Control - set up an epidemiological surveillance to monitor the temporal trends of the SARS-CoV-2 pandemic in five Italian regions using validated indicators., Objectives: to identify differences between Italians and immigrants in terms of the epidemic evolution and its health consequences, and to investigate possible differences by urbanisation degree and region of residence., Design: cross sectional study., Setting and Participants: resident population in five Italian regions: Piedmont, Emilia-Romagna, Tuscany, Lazio, and Sicily., Main Outcomes Measures: frequencies of positive tests, routine hospitalisations, and deaths related to COVID-19 were collected, with respect to the period between 22.02.2020 and 31.01.2021. Data were aggregated by week, region, degree of urbanisation, gender, age (5-year classes), and citizenship (Italian/foreigner). Crude and standardised rates of the outcomes considered were calculated, stratified by gender, citizenship, region, and aggregated by pandemic macro-period., Results: the study population counts approximately about 23 million residents as of 01.01.2020 (9.4% immigrants). During the period of interest, 1,542,458 cases of infection were recorded, whereas hospitalisations amounted to 175,979, and deaths to 44,867. Lower crude rates of hospitalisations and deaths were observed among immigrants compared to Italians. The age-standardised hospitalisation rates, on the other hand, showed an opposite trend and were significantly higher among immigrants, due to the excess observed in urban areas, especially in periods of epidemic peak, both for males (weekly mean standardised rate: 34.6 per 1,000 of foreign residents vs 24.3 of Italians over the period October 2020-January 2021) and females (23.2 vs 15.1 over the period February-April 2021). These differences seem to be more pronounced in the central regions and tend to disappear for residents in scarcely populated areas. Standardised mortality rates were higher among immigrants, both men and women, from October 2020 and more markedly in February-April 2021 among men., Conclusions: the impact of COVID-19 was stronger among immigrants in relation to hospitalisation, especially during epidemic peak periods and in some regions. The difference in the impact on mortality was smaller. There is some heterogeneity among regions and urban areas that is worth considering in the planning of interventions and integration policies.

Background: The number of suicides has been increasing worldwide, year after year, becoming the fourth leading cause of death among young people between 15 and 29 years of age., Aim: In this study, we explored the frequency and characteristics of suicides among the adult general population in Paraguay between 2004 and 2022, considering that suicide attempts and suicidal risk/ideation are frequent and relevant issues in the consultation activity, even if epidemiological evidence on the national rates of suicide is scarce., Methods: In this observational, descriptive, and exploratory study, official records of all deaths by suicide were reviewed and information analyzed. In addition, an attempt was made to predict the number of suicides in the next 5 years according to a mathematical modeling., Results: In the 18-year period, 5,527 suicides of adults were recorded. Patients' mean age was 36.8 ± 17 years old. A 76.77% of them were males, 77.44% were from an urban area and 25.98% from the Greater Asunción and Central Department of Paraguay. The most frequently used method of suicide was intentional self-inflicted injury by hanging, strangulation, or suffocation (all 67.6%). The expected number of national suicides in the following years from 2023 to 2027 will range between 462 and 530. Limitations include the lack of information regarding diagnoses and personal history in the suicide reports as well as the possibility of underreporting of national suicide cases., Conclusion: Our results represent the first large national epidemiological report of suicides in Paraguay and may be of interest for mental health professionals and health authorities in order to reduce the suicide mortality rate within the country.

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.

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.

Scientific literature suggests that in developed countries food is predominantly wasted at the consumption stage of the food supply chain. This study aims to profile consumers' attitude to waste food in Italy investigating households' behaviours leading to food waste generation by addressing what is being wasted and why it is wasted. The work is based on a survey performed in Italy on a heterogeneous sample of 3,087 respondents. A cluster analysis was performed to detect consumers' profiles. Results, based on self-reporting, allow to sketch different 'waster' types, providing a picture of food waste related to eating, shopping, and storage behaviours and suggesting a number of differences existing in terms of perceived quantities and causes of generated food waste. Out of seven profiles identified, four are the most representative ones in terms of size: the conscious-fussy type, who wastes because food doesn't smell or look good; the conscious-forgetful type, who forgets what is in the fridge or on the shelves; the frugal consumer who tends not to consume fruits and vegetables and declares to waste nothing (or almost nothing); and the exaggerated cook, who overbuys and overcooks. Profiling specific waste types can help to better understand if groups with common characteristics exist, what their specific features are and what levers can be employed to stimulate a change in their behaviour., (Copyright © 2017 Elsevier Ltd. All rights reserved.)