Epidemiologia & Prevenzione最新文献

Objectives: to assess the association between the occupational sector and respiratory mortality in the metropolitan longitudinal studies of Rome and Turin.

Design: retrospective cohort study.

Setting and participants: the 2011 census cohorts of residents of Rome and Turin aged 30 years and older who had worked for at least one year in the private sector between 1970s and 2011 was analysed. The individuals included in the study were followed from 9 October 2011 to 31 December 2018. Occupational history was obtained from archives of private sector contributions at the National Social Insurance Agency (INPS) and then was linked to data from the longitudinal studies.

Main outcome measures: the study outcome was non-malignant respiratory mortality. The exposure of interest was whether or not individuals had worked in one of the 25 occupational sectors considered (agriculture and fishing, steel industry, paper and printing, pharmaceuticals, manufacturing, textile, energy and water, food and tobacco industry, non-metal mining, glass & cement industry, metal processing, electrical construction, footwear and wood industry, construction, trade, hotel and restaurants, transportation, insurance, healthcare, services, laundries, waste management, hairdressing, cleaning services, and gas stations). The association between the occupational sector and respiratory mortality, adjusted for potential confounders (age, marital status, place of birth, educational level), was estimated using Cox models. All analyses were stratified by sex and city.

Results: a total of 910,559 people were analysed in Rome and 391,541 in Turin. During the eight years of follow-up, 4,133 people in Rome and 2,772 people in Turin died from respiratory causes. The sectors associated with high respiratory mortality in both cities among men were footwear and wood industry (adjusted HR for age: 1.37 (95%CI 1.07-1.76) and 1.48 (95%CI 1.08-2.03) in Rome and Turin, respectively), construction (HR: 1.31 (95%CI 1.20-1.44) in Rome and 1.51 (95%CI 1.31-1.74) in Turin), hotel and restaurant sector (HR: 1.25 (95%CI 1.07-1.46) in Rome and 1.68 (95%CI 1.20-2.33) in Turin), and cleaning services (HR: 1.57 (95%CI 1.19-2.06) in Rome and 1.97 (95%CI 1.51-2.58) in Turin). Some sectors had high respiratory mortality only in one of the two cities: in Rome, the food& tobacco industry, and gas stations, while in Turin, the metal processing industry. Among female workers, the cleaning services sector was associated with higher respiratory mortality in both Rome and Turin (HR: 1.52, 95%CI 1.27-1.82, e 1.58, 95%CI 1.17-2.12, respectively).

Conclusions: the data confirm the previously known associations between occupational sectors and respiratory mortality for exposures characteristic of specific sectors, such as construction, hotel and restaurant sector, and cleaning services. The di

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: the objective of this review is to give an overall view of the knowledge on COVID-19 bivalent vaccines and to explore the available real-world evidence on their effectiveness in the Omicron era. Currently, bivalent vaccines are generally offered to all groups eligible for their next booster, as defined by the national vaccination campaigns, with varying policies between countries.The use of bivalent vaccines is supported by immunogenity studies, but these have produced contradictory conclusions and are not generally designed to measure clinical impact.

Design: in order to critically evaluate the available research on real-world efficacy, a systematic literature search was performed; three different web engines were used, including early-stage search platforms: PubMed, medRxiv and the Global research on coronavirus disease (COVID-19) database.

Setting: no restrictions were imposed on language, setting or publication date. The research was last updated on 20 March 2023.

Main outcome measures: the following outcomes were considered: infection, hospitalisation due to COVID-19 disease, admission to the emergency/urgency department, death. The following were considered as additional outcomes: variant-specific vaccine effectiveness; vaccine effectiveness waning over time.

Results: out of 876 references reviewed, 14 studies were finally included and extracted. The results of this review show modest to moderate additional protection from vaccination with bivalent BA.4-5 or BA.1 vaccines mRNA-booster against COVID-19-associated disease - Relative VE% ranging from 8 (95% CI 0-16) to 58.7 (95% 54.6-62.5)- and hospitalisation - Relative VE% ranging from 32.2 (2.5-60.1) to 80.5 (95% CI 69.5-91.5)-, when compared with a booster with a monovalent vaccine or with having completed only the primary course, during a period when BA.5 and other Omicron sublineage viruses predominated globally.

Conclusions: the additional benefit of bivalent booster vaccines - compared to one or two monovalent booster vaccinations or compared to the primary course alone - in the prevention of SARS-CoV-2 Omicron infection appears to be small, especially in persons with previous Omicron infection, whereas modest to moderate protection from vaccination with bivalent BA.4-5 or BA.1 mRNA-booster vaccines as a fourth dose against COVID-19-associated illness and hospitalisation has been reported.

Objectives: occupational exposure to vapours, gases, dusts and fumes (VGDF) plays an important role in the development and exacerbation of respiratory diseases. The aim of this study is to evaluate the possible association of occupational exposure to airborne pollutants and chronic respiratory diseases.

Design: multicase-control study.

Setting and participants: cases of chronic respiratory diseases and controls from the Italian multicentric study Gene Environment Interaction in Respiratory Diseases (GEIRD).

Main outcome measures: the occurrence of rhinitis, asthma, chronic bronchitis/chronic obstructive pulmonary disease (COPD), asthma severity, spirometry data, exhaled nitric oxide (FeNO) were examined in relation to chronic and acute occupational exposures to airborne pollutants using multiple regression models.

Results: 2,943 subjects were enrolled in the study. Regularm exposure to VGDF was associated with a higher prevalence of chronic bronchitis/COPD (OR 1.40, 95%CI 0.98-1.99), especially in those also having asthma (OR 1.80, 95%CI 1.14-2.85), a lower prevalence of remittent asthma (OR 0.53, 95%CI 0.29-0.96) and, in those with asthma, an increased activity of the disease (severity score) (OR 1.77, 95%CI 1.20-2.60). No associations were observed between occupational exposure and prevalence of rhinitis, spirometry and FeNO data. Finally, an association was found between acute exposure to airborne pollutants (occupational and non-occupational) and the respiratory diseases investigated, in particular active asthma and asthma associated chronic bronchitis/BPCO.

Conclusions: these data confirm a significant role of occupational exposure to airborne pollutants on respiratory health, underlying the importance of workplace exposure prevention, in particular for more susceptible subjects, as those with respiratory diseases.

The COVID-19 vaccination prevents COVID-19 specific mortality. Well planned population-based studies, however, are necessary to evaluate the overall effectiveness of vaccination programmes. A study carried out in the province of Pescara is used to illustrate the potential biases that may affect such studies. The Pescara study analysed total and non-COVID-19 mortality and the occurrence of Potentially Vaccine-Related Serious Adverse Events (PVR-SAEs) in vaccinated and unvaccinated people, from January 2021, when vaccines became available, to July 2022. The study reported a lower probability of both total and non-COVID-19 death in vaccinated people. However, the authors did not include in the denominator of the unvaccinated cohort the population experience of the vaccinated cohort before vaccination (immortal time bias). Correcting the denominator of the unvaccinated cohort, the crude death rate of vaccinated and unvaccinated persons becomes the same. For the same reason, the unvaccinated non-COVID-19 mortality was overestimated, as was the mortality of people receiving only one or two vaccine doses. Confounding by indication and the healthy vaccinee bias will also be discussed, as well as the bias deriving by not considering the evolution of risk over time.

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 st

Objectives: to estimate the impact of daily exposure to extreme air temperatures (heat and cold) on cause-specific mortality in Italy and to evaluate the differences in the association between urban, suburban and rural municipalities.

Design: time series analyses with two-stage approach were applied: in the first stage, multiple Poisson regression models and distributed lag non-linear models (DLNM) were used to define the association between temperature and mortality; in the second one, meta-analytic results were obtained by adopting BLUP (Best Linear Unbiased Prediction) coefficients at provincial level, which were then used to estimate the Attributable Fractions of cause-specific deaths.

Setting and participants: cause-specific deaths from 2006to 2015 in Italy have been analysed by region and overall.

Main outcome measures: 5,648,299 total deaths included. Fractions (and relative 95% empirical confidence interval) of deaths attributable to increases from 75th to 99th percentiles of temperature, for heat, and decreases from 25th to 1st percentile, for cold.

Results: the overall impact of air temperature on causespecificmortality is higher for heat than for cold. When considering heat, the attributable fraction is higher for diseases of the central nervous system (3.6% 95% CI 1.9-4.9) and mental health disease (3.1% 95% CI 1.7-4.4), while considering cold, ischemic disease (1.3% 95% CI 1.1-1.6) and diabetes (1.3% 95% CI 0.7-1.8) showed the greater impact. By urbanization level, similar impacts were found for cold temperature, while for heat there was an indication of higher vulnerability in rural areas emerged.

Conclusions: results are relevant for the implementation and promotion of preventive measures according to climate change related increase in temperature. The available evidence can provide the basis to identify vulnerable areas and population subgroups to which address current and future heat and cold adaptation plans in Italy.