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BACKGROUND: Aim of this study was to examine the association between unemployment and mortality, taking into account potential confounders of this association. A secondary objective was to assess whether the association between unemployment and mortality was modified by lack of household economic resources. METHODS: Prospective cohort composed of a representative sample of Italian subjects 30-55 years who participated in the Italian National Health Survey 1999-2000, followed up for mortality up to 2012 (15 656 men and 11 463 women). Data were analyzed using Cox regression models, stratified by gender and adjusted for health status, behavioral risk factors, socioeconomic position and position in the household. The modifying effect of the lack of economic resources was assessed by testing its interaction with unemployment on mortality. RESULTS: Among women, unemployment was not associated with mortality, whereas among men, higher mortality was found from all causes (HR = 1.82), which was not modified by lack of economic resources, and from neoplasms (HR = 1.59), cardiovascular diseases (HR = 2.58) and suicides (HR = 5.01). CONCLUSIONS: Results for men were robust to the adjustment for main potential confounders, suggesting a causal relationship between unemployment and mortality. The lack of effect modification by economic resources supports the relevance of the loss of non-material benefits of work on mortality.

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An amendment to this paper has been published and can be accessed via the original article.

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BACKGROUND: Standardized mortality surveillance data, capable of detecting variations in total mortality at population level and not only among the infected, provide an unbiased insight into the impact of epidemics, like COVID-19 (Coronavirus disease). We analysed the temporal trend in total excess mortality and deaths among positive cases of SARS-CoV-2 by geographical area (north and centre-south), age and sex, taking into account the deficit in mortality in previous months. METHODS: Data from the Italian rapid mortality surveillance system was used to quantify excess deaths during the epidemic, to estimate the mortality deficit during the previous months and to compare total excess mortality with deaths among positive cases of SARS-CoV-2. Data were stratified by geographical area (north vs centre and south), age and sex. RESULTS: COVID-19 had a greater impact in northern Italian cities among subjects aged 75-84 and 85+ years. COVID-19 deaths accounted for half of total excess mortality in both areas, with differences by age: almost all excess deaths were from COVID-19 among adults, while among the elderly only one third of the excess was coded as COVID-19. When taking into account the mortality deficit in the pre-pandemic period, different trends were observed by area: all excess mortality during COVID-19 was explained by deficit mortality in the centre and south, while only a 16% overlap was estimated in northern cities, with quotas decreasing by age, from 67% in the 15-64 years old to 1% only among subjects 85+ years old. CONCLUSIONS: An underestimation of COVID-19 deaths is particularly evident among the elderly. When quantifying the burden in mortality related to COVID-19, it is important to consider seasonal dynamics in mortality. Surveillance data provides an impartial indicator for monitoring the following phases of the epidemic, and may help in the evaluation of mitigation measures adopted.

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In Italy, few multicentre population-based studies on pregnancy outcomes are available. Therefore, we established a network of population-based birth cohorts in the cities of Turin, Reggio Emilia, Modena, Bologna, and Rome (northern and central Italy), to study the role of socioeconomic factors and air pollution exposure on term low birthweight, preterm births and the prevalence of small for gestational age. In this article, we will report the full methodology of the study and the first descriptive results. We linked 2007-2013 delivery certificates with municipal registry data and hospital records, and selected singleton livebirths from women who lived in the cities for the entire pregnancy, resulting in 211,853 births (63% from Rome, 21% from Turin and the remaining 16% from the three cities in Emilia-Romagna Region). We have observed that the association between socioeconomic characteristics and air pollution exposure varies by city and pollutant, suggesting a possible effect modification of both the city and the socioeconomic position on the impact of air pollution on pregnancy outcomes. This is the largest Italian population-based birth cohort, not distorted by selection mechanisms, which has also the advantage of being sustainable over time and easily transferable to other areas. Results from the ongoing multivariable analyses will provide more insight on the relative impact of different strands of risk factors and on their interaction, as well as on the modifying effect of the contextual characteristics. Useful recommendations for strategies to prevent adverse pregnancy outcomes may eventually derive from this study.

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Exposure to agents acting on the renin-angiotensin system was not associated with a risk increase of COVID-19 infection in 2 Italian matched case-control studies, 1 nested in hypertensive patients and the other in patients with cardiovascular diseases or diabetes.

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The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO2) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: •It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems.

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OBJECTIVES: The aim of this study was to assess social inequalities in overall mortality in a representative sample of the Italian population, and to evaluate the contribution of behavioural and metabolic risk (BMF) factors to these inequalities. METHODS: 85,308 participants aged 25-74 years from the Italian Longitudinal Study were included in the study population and followed up for mortality (1999-2012). Level of education was used as a proxy for socioeconomic status. The contribution of BMF was estimated assessing the attenuation of the risk by education produced by the inclusion of BMF in regression model. RESULTS: Men with the lowest education had 62% and women had 57% greater risk of dying than those with the highest education. Among men, adjustment for BMF produced an attenuation of the mortality risk between extreme classes of education by 22%, while among women the risk attenuation was 7%. CONCLUSIONS: Large educational differences in mortality were observed for both men and women. BMF reduced by approximately 20% differences in mortality relative risk between extreme classes of education in men. In contrast, a very low contribution was observed in women.

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Several studies have recognized the health disadvantage of residents in socioeconomically deprived neighborhoods, independent of the influence of individual socioeconomic conditions. The effect of neighborhood socioeconomic deprivation on general mortality has appeared heterogeneous among the cities analyzed: the underlying mechanisms have been less empirically explored, and explanations for this heterogeneous health effect remain unclear. The present study aimed to: (1) analyze the distribution of socioeconomically disadvantaged persons in neighborhoods of 4 European cities-Turin, Barcelona, Stockholm and Helsinki-trying to measure segregation of residents according to their socioeconomic conditions. Two measuring approaches were used, respectively, through dissimilarity index and clustering estimated from Bayesian models. (2) Analyze the distribution of mortality in the above mentioned cities, trying to disentangle the independent effects of both neighborhood socioeconomic deprivation and neighborhood segregation of residents according to their socioeconomic conditions, using multilevel models. A significantly higher risk of death was observed among residents in more deprived neighborhoods in all 4 cities considered, slightly heterogeneous across them. Poverty segregation appeared to be slightly associated with increasing mortality in Turin and, among females and only according to dissimilarity, in Barcelona. Few studies have explored the health effects of social clustering, and results could inform urban policy design with regard to social mix.

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BACKGROUND: This study investigated mortality in a cohort of 1,988 male workers at a chemical manufacturing plant (1981-2011) and evaluated the quality of the results obtained using administrative databases. METHODS: Information about the workers was obtained from the archives of the Italian National Institute for Social Insurance. Vital status and causes of death were ascertained through record linkage with electronic archives and follow-up mailing. Regional reference rates were used to calculate standardized mortality ratios (SMRs) and 90% confidence intervals (CI). RESULTS: The analysis showed increased SMR for selected cancers of a priori interest: respiratory system (SMR: 126.8; 90%CI: 105-152), pleura (330.5; 90%CI 164-596), and non-Hodgkin lymphoma (196.1; 90%CI 102-342). CONCLUSIONS: The results indicate an effect of hazardous exposures among workers in this chemical manufacturing plant. Using administrative databases to construct historical cohorts is an efficient method in time and resources, for estimating the risk of mortality and generating hypotheses. Am. J. Ind. Med. 59:866-876, 2016. © 2016 Wiley Periodicals, Inc.

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BACKGROUND: Evidence on the association between short-term exposure to desert dust and health outcomes is controversial. OBJECTIVES: We aimed to estimate the short-term effects of particulate matter ≤ 10 µm (PM10) on mortality and hospital admissions in 13 Southern European cities, distinguishing between PM10 originating from the desert and from other sources. METHODS: We identified desert dust advection days in multiple Mediterranean areas for 2001-2010 by combining modeling tools, back-trajectories, and satellite data. For each advection day, we estimated PM10 concentrations originating from desert, and computed PM10 from other sources by difference. We fitted city-specific Poisson regression models to estimate the association between PM from different sources (desert and non-desert) and daily mortality and emergency hospitalizations. Finally, we pooled city-specific results in a random-effects meta-analysis. RESULTS: On average, 15% of days were affected by desert dust at ground level (desert PM10 > 0 µg/m3). Most episodes occurred in spring-summer, with increasing gradient of both frequency and intensity north-south and west-east of the Mediterranean basin. We found significant associations of both PM10 concentrations with mortality. Increases of 10 µg/m3 in non-desert and desert PM10 (lag 0-1 days) were associated with increases in natural mortality of 0.55% (95% CI: 0.24, 0.87%) and 0.65% (95% CI: 0.24, 1.06%), respectively. Similar associations were estimated for cardio-respiratory mortality and hospital admissions. CONCLUSIONS: PM10 originating from the desert was positively associated with mortality and hospitalizations in Southern Europe. Policy measures should aim at reducing population exposure to anthropogenic airborne particles even in areas with large contribution from desert dust advections. CITATION: Stafoggia M, Zauli-Sajani S, Pey J, Samoli E, Alessandrini E, Basagaña X, Cernigliaro A, Chiusolo M, Demaria M, Díaz J, Faustini A, Katsouyanni K, Kelessis AG, Linares C, Marchesi S, Medina S, Pandolfi P, Pérez N, Querol X, Randi G, Ranzi A, Tobias A, Forastiere F, MED-PARTICLES Study Group. 2016. Desert dust outbreaks in Southern Europe: contribution to daily PM10 concentrations and short-term associations with mortality and hospital admissions. Environ Health Perspect 124:413-419; http://dx.doi.org/10.1289/ehp.1409164.

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BACKGROUND: Recent studies suggest that inequalities in premature mortality have continued to rise over the last decade in most European countries, but not in southern European countries. METHODS: In this study, we assess long-term trends (1971-2011) in absolute and relative educational inequalities in all-cause and cause-specific mortality in the Turin Longitudinal Study (Turin, Italy), a record-linkage study including all individuals resident in Turin in the 1971, 1981, 1991 and 2001 censuses, and aged 30-99 years (more than 2 million people). We examined mortality for all causes, cardiovascular disease (CVD), all cancers and specific cancers (lung, breast), as well as smoking and alcohol-related mortality. RESULTS: Overall mortality substantially decreased in all educational groups over the study period, although cancer rates only slightly declined. Absolute inequalities decreased for both genders (SII=962/694 in men/women in 1972-1976 and SII=531/259 in 2007-2011, p<0.01). Among men, absolute inequalities for CVD and alcohol-related causes declined (p<0.05), while remaining stable for other causes of death. Among women, declines in absolute inequalities were observed for CVD, smoking and alcohol-related causes and lung cancer (p<0.05). Relative inequalities in all-cause mortality remained stable for men and decreased for women (RII=1.92/2.03 in men/women in 1972-1976 and RII=2.15/1.32 in 2007-2011). Among men, relative inequalities increased for smoking-related causes, while among women they decreased for all cancers, CVD, smoking-related causes and lung cancer (p<0.05). CONCLUSIONS: Absolute inequalities in mortality strongly declined over the study period in both genders. Relative educational inequalities in mortality were generally stable among men; while they tended to narrow among women. In general, this study supports the hypothesis that educational inequalities in mortality have decreased in southern European countries.

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BACKGROUND: Socioeconomic inequalities are increasingly recognised as an important public health issue, although their role in the leading causes of mortality in urban areas in Europe has not been fully evaluated. In this study, we used data from the INEQ-CITIES study to analyse inequalities in cause-specific mortality in 15 European cities at the beginning of the 21st century. METHODS: A cross-sectional ecological study was carried out to analyse 9 of the leading specific causes of death in small areas from 15 European cities. Using a hierarchical Bayesian spatial model, we estimated smoothed Standardized Mortality Ratios, relative risks and 95% credible intervals for cause-specific mortality in relation to a socioeconomic deprivation index, separately for men and women. RESULTS: We detected spatial socioeconomic inequalities for most causes of mortality studied, although these inequalities differed markedly between cities, being more pronounced in Northern and Central-Eastern Europe. In the majority of cities, most of these causes of death were positively associated with deprivation among men, with the exception of prostatic cancer. Among women, diabetes, ischaemic heart disease, chronic liver diseases and respiratory diseases were also positively associated with deprivation in most cities. Lung cancer mortality was positively associated with deprivation in Northern European cities and in Kosice, but this association was non-existent or even negative in Southern European cities. Finally, breast cancer risk was inversely associated with deprivation in three Southern European cities. CONCLUSIONS: The results confirm the existence of socioeconomic inequalities in many of the main causes of mortality, and reveal variations in their magnitude between different European cities.

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OBJECTIVES: this study aims at presenting the results from the Italian EpiaAir2 Project on the short-term effects of air pollution on adult population (35+ years old) in 25 Italian cities. DESIGN: the short-term effects of air pollution on resident people died in their city were analysed adopting the time series approach. The association between increases in 10µg/m(3) in PM10, PM2.5, NO2 and O3 air concentration and natural, cardiac, cerebrovascular and respiratory mortality was studied. City-specific Poisson models were fitted to estimate the association of daily concentrations of pollutants with daily counts of deaths. The analysis took into account temporal and meteorological factors to control for potential confounding effect. Pooled estimates have been derived from random effects meta-analysis, evaluating the presence of heterogeneity in the city specific results. SETTING AND PARTICIPANTS: it was analysed 422,723 deaths in the 25 cities of the project among people aged 35 years or more, resident in each city during the period 2006-2010. MAIN OUTCOME MEASURES: daily counts of natural, cardiac, cerebrovascular, and respiratory mortality, obtained from the registries of each city. Demographic information were obtained by record linkage procedure with the civil registry of each city. RESULTS: mean number of deaths for natural causes ranged from 513 in Rovigo to 20,959 in Rome. About 25% of deaths are due to cardiac diseases, 10% to cerebrovascular diseases, and 7% to respiratory diseases. It was found an immediate effect of PM10 on natural mortality (0.51%; 95%CI 0.16-0.86; lag 0-1). More relevant and prolonged effects (lag 0-5) have been found for PM2.5 (0.78%; 95%CI 0.12-1.46) and NO2 (1.10%; 95%CI 0.63-1.58). Increases in cardiac mortality are associated with PM10 (0.93%; 95%CI 0.16-1.70) and PM2.5 (1.25%; 95%CI 0.17-2.34), while for respiratory mortality exposure to NO2 has an important role (1.67%; 95%CI 0.23-3.13; lag 2-5), as well as PM10 (1.41%; 95%CI - 0.23;+3.08). Results are strongly homogeneous among cities, except for respiratory mortality. No effect has been found for cerebrovascular mortality and weak evidence of association has been observed between ozone and mortality. CONCLUSIONS: a clear increase in mortality associated to air pollutants was observed. More important are the effects of NO2 (on natural mortality), mostly associated with traffic emissions, and of PM2.5 (on cardiac and respiratory mortality). Nitrogen dioxide shows an independent effect from the particulate matter, as observed in the bi-pollutant models.

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BACKGROUND: There is extensive documentation on social inequalities in mortality across Europe, showing heterogeneity among countries. Italy contributed to this comparative research, through longitudinal systems from northern or central cities of the country. This study aims to analyse educational inequalities in general and cause-specific mortality in a sample of the Italian population. METHODS: Study population was selected within a cohort of 123,056 individuals, followed up for mortality through record linkage with national archive of death certificates for the period 1999-2007. People aged between 25 and 74 years were selected (n = 81,763); relative risks of death by education were estimated through Poisson models, stratified according to sex and adjusted for age and geographic area of residence. Heterogeneity of risks by area of residence was evaluated. RESULTS: Men and women with primary education or less show 79% and 63% higher mortality risks, respectively, compared with graduates. Mortality risks seem to frequently increase with decreasing education, with a significant linear trend among men. For men, social inequalities appear related to mortality due to diseases of the circulatory system and to all neoplasms, whereas for women, they are related to inequalities in cancer mortality. CONCLUSIONS: Results from the first follow-up of a national sample highlight that Italy presents significant differences in mortality according to the socio-economic conditions of both men and women. These results not only challenge policies aimed at redistributing resources to individuals and groups, but also those policies that direct programmes and resources for treatment and prevention according to the different health needs.

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OBJECTIVE: the study aims to estimate the differentials in life expectancy by income and work history in Italy during the 2000's, in order to evaluate the level of actuarial equity of the recent Italian retirement reform in computing benefits proportional to the contributions paid. DESIGN: retrospective cohort study. SETTING AND PARTICIPANTS: mortality follow up of a 1% sample of the Italian workforce employed or self employed in the private sector, retired between 1985 and 2003 (about 63,000 people), whose work history and income since 1985 is registered in the National Institute for Social Insurance (INPS) data base. MAIN OUTCOME MEASURE: mortality differentials computed through Cox model. RESULTS: social inequalities in survival in favour of the more advantaged categories of income and occupational classes are observed. CONCLUSION: the principle of actuarial equity assumes that life expectancy varies only according to age and birth cohort; nevertheless inequalities in life expectancy exist also along other dimensions, like income and occupational class: this means that the system is producing an opposite redistribution, from the careers more socially disadvantaged to the less disadvantaged ones.

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The objective of this study was to investigate the relationship between cancer incidence and socioeconomic status, and to examine the temporal trends in social inequalities in cancer risk. Educational differentials in the incidence of cancer (25 sites) among adult residents of Turin (Italy) were examined using data from the Turin Longitudinal Study and the Piedmont Cancer Registry. The relationship between cancer incidence and educational level was evaluated over three 5-year periods between 1985 and 1999 using Poisson models. An estimated 17% of malignancies among men in the low-educational group were attributable to education, whereas women with a low educational level were slightly protected. Less-educated men had higher risks of upper aero-digestive tract, stomach, lung, liver, rectal, bladder, central nervous system and ill-defined cancers, and lower risks of melanoma, kidney and prostate cancers. Women with lower educational levels were at higher risk of stomach, liver and cervical cancers, whereas they were less likely to be diagnosed with melanoma, ovarian and breast cancers. For most sites, the educational gradient in risk did not vary substantially over time. The educational inequalities in cancer incidence observed in this cohort appear similar in magnitude and direction to socioeconomic inequalities found in other Western countries; for some cancer sites results partly differ from the results of other studies, and require further investigation. A thorough understanding of the relative burden of well-documented causes of social inequalities in cancer risk is essential to address preventive measures and to direct future research on unexplained social differences.

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The availability of Electronic Health Archives (EHA) has increased remarkably over the last twenty years. As part of a joint project of the Italian Association of Epidemiology (AIE) and the Italian Association of Medical Statistics and Clinical Epidemiology (SISMEC), a workgroup of experts was set up in 2005 with the aim of comparing various experiences and of standardizing the procedures by which electronic sources can be integrated. In particular, the workgroup's aim was to estimate the frequency of certain major diseases using standard algorithms applied to EHA. This volume is published with the purpose of making available in a common publication the methods and the results obtained. The results from a multicentre study using a standard approach to probabilistic record-linkage procedures are also included in a specific chapter. Eleven Italian centres from five Italian regions with an overall population of 11,932,026 collected and treated more than 21,374,426 records (year 2003) from five electronic information sources: death certificates, hospital discharge records (including outpatient discharges), drug prescriptions, tax- exemptions, and pathology records in order to estimate the frequency of the following diseases: diabetes, ischemic heart diseases, acute myocardial infarction, stroke, asthma, chronic obstructive pulmonary disease, obstructive lung diseases. For each pathology a specific algorithm was developed and used by all centres for the identification of the prevalent/incident cases of the selected diseases. Standardized methods were used to estimate the rates. The results confirm the need for a common standard approach to produce estimates based on EHA, considering the variability of the quality and of the completeness of the archives, and the difficulties of standardizing record-linkage operations in the various centres. The main achievement of this work was the elimination of the variability due to the use of different algorithms to identify cases using EHA.

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AIMS: the goal of this study was to estimate the prevalence of diabetes through record linkage of various data sources in four Italian areas. SETTING: Aulss 12 Veneziana, Aulss 4 Alto vicentino, Torino, ASL10 of Firenze. PARTICIPANTS: all 2002 to 2004 residents in the four areas (n = 2,123,913 on 30th June 2003). MAIN OUTCOME: crude prevalence by age and gender and standardized prevalence by gender. METHODS: we used three different data sources. The first was the set of files of all persons discharged from hospitals with a primary or secondary diagnosis of diabetes (ICD-9-CM code 250*) in the year of interest or in the four previous years. The second data source was the set of files of all prescriptions of antidiabetic drugs (ATC code: A10A* and A10B*) prescribed in the year of interest; we considered as persons with diabetes only those who had at least two prescriptions of antidiabetic drugs at two different times. The third source was the set of files of all subjects who obtained exemption from payment of drugs or laboratory testing due to a diagnosis of diabetes mellitus in the year of interest or in the 3 previous years. All data sources were matched by a deterministic linkage procedure. We defined as "prevalent case" those persons who were present in at least one of the three data sources. We compared the estimated prevalence in the four different areas. RESULTS: in 2003, the prevalence of diabetes in the four areas ranged from 3.93% to 5.55% among men, and from 3.55% to 4.52% among women. After adjustment for age, differences among men were reduced and were no longer present among women. Prevalence is higher among the elderly and among men. CONCLUSIONS: using routinely collected data we were able to identify large cohorts of persons with known diabetes and to estimate the prevalence of the disease, which was shown to be highly homogeneous among participating centres, and similar to that reported in other studies conducted in Italy with more costly and time consuming methods.

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OBJECTIVE: To compare record linkage (RL) procedures adopted in several Italian settings and a standard probabilistic RL procedure for matching data from electronic health care databases. DESIGN: Two health care archives are matched: the hospital discharges (HD) archive and the population registry of four Italian areas. Exact deterministic, stepwise deterministic techniques and a standard probabilistic RL procedure are applied to match HD for acute myocardial infarction (AMI) and diabetes mellitus. Sensitivity and specificity for RL procedures are estimated after manual review. Age and gender standardized annual hospitalization rates for AMI and diabetes are computed using different RL procedures and compared. SETTING: Municipalities of Pisa and Roma, and Regions of Puglia and Piemonte. PARTICIPANTS: Residents in the considered areas on 31 December 2003 and corresponding episodes of hospitalization in the same areas during 2004. MAIN OUTCOME MEASURES: Measures of accuracy of RL procedures to match health care administrative databases. RESULTS: Data quality varies among archives and affects the decision rule of the probabilistic procedure. A unique decision rule was therefore adopted by means of choosing a positive predictive value of at least 98% for all the considered areas. The number of matched pairs identified with the probabilistic procedure is on average more then 11% greater than the number identified with the deterministic procedure. Sensitivity of probabilistic RL is similar or greater than that of other procedures. Differences between annual standardized hospitalization rates computed with stepwise deterministic RL and the standard probabilistic RL procedure vary among areas. CONCLUSION: Exact deterministic RL works well when unique identifiers and high quality data are available. The probabilistic procedure here proposed works as well as semi-deterministic RL when the latter implements a quality control of data or a manual review of final results. Otherwise, deterministic or semi-deterministic procedures imply classification errors of unknown size and direction.

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