Short-term effects on emergency room access or hospital admissions for cardio-respiratory diseases: methodology and results after three years of functioning of a waste-to-energy incinerator in Turin (Italy).

This study is part of the health surveillance system set up with the construction of a waste-to-energy (WTE) plant in Turin (Italy). Circulatory and respiratory diseases in emergency room (ER) accesses and first hospital admissions were considered. Main concerns of population living in the area near WTE were to know whether single and repeated peaks in emissions would correspond to adverse health effects. We tackle this issue using spatio-temporal analyses, comparing an exposed group (EXP) living near the WTE with a reference group (NOEXP). Age-standardized rates of ER accesses between EXP and NOEXP were temporally compared, testing whether there have been significantly different changes over time. We also examined the relationship between emission peaks and ER accesses in the following days. Finally, with time-series analysis, we investigated variations in ER accesses and pollutants before and after WTE start-up. No significant relationship has been found for the outcome considered.

Long term effect of air pollution on incident hospital admissions: Results from the Italian Longitudinal Study within LIFE MED HISS project.

BACKGROUND: The LIFE MED HISS project aims at setting up a surveillance system on the long term effects of air pollution on health, using data from National Health Interview Surveys and other currently available sources of information in most European countries. Few studies assessed the long term effect of air pollution on hospital admissions in European cohorts. OBJECTIVE: The objective of this paper is to estimate the long term effect of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) on first-ever (incident) cause-specific hospitalizations in Italy. METHODS: We used data from the Italian Longitudinal Study (ILS), a cohort study based on the 1999-2000 National Health Interview Survey (NHIS), followed up for hospitalization (2001-2008) at individual level. The survey contains information on crucial potential confounders: occupational/educational/marital status, body mass index (BMI), smoking habit and physical activity. Annual mean exposure to PM2.5 and NO2 was assigned starting from simulated gridded data at spatial resolution of 4 × 4 km2 firstly integrated with data from monitoring stations and then up-scaled at municipality level. Statistical analyses were conducted using Cox proportional hazard models with robust variance estimator. RESULTS: For each cause of hospitalization we estimated the hazard ratios (HRs) adjusted for confounders with 95% Confidence Interval (CI) related to a 10 µg/m3 increase in pollutants. For PM2.5 and NO2, respectively, we found positive associations for circulatory system diseases [1.05(1.03-1.06); 1.05(1.03-1.07)], myocardial infarction [1.15(1.12-1.18); 1.15(1.12-1.18)], lung cancer [1.18(1.10-1.26); 1.20(1.12-1.28)], kidney cancer [1.24(1.11-1.29); 1.20(1.07-1.33)], all cancers (but lung) [1.06(1.04-1.08); 1.06(1.04-1.08)] and Low Respiratory Tract Infections (LRTI) [1.07 (1.04-1.11); 1.05 (1.02-1.08)]. DISCUSSION: Our results add new evidence on the effects of air pollution on first-ever (incident) hospitalizations, both in urban and rural areas. We demonstrated the feasibility of a low-cost monitoring system based on available data.

The temporal pattern of mortality responses to ambient ozone in the APHEA project.

BACKGROUND: The temporal pattern of effects of summertime ozone (O(3)) in total, cardiovascular and respiratory mortality were investigated in 21 European cities participating in the APHEA-2 (Air Pollution and Health: a European Approach) project, which is fundamental in determining the importance of the effect in terms of life loss. METHODS: Data from each city were analysed separately using distributed lag models with up to 21 lags. City-specific air pollution estimates were regressed on city-specific covariates to obtain overall estimates and to explore sources of possible heterogeneity. RESULTS: Stronger effects on respiratory mortality that extend to a period of 2 weeks were found. A 10 microg/m(3) increase in O(3) was associated with a 0.36% (95% CI -0.21% to 0.94%) increase in respiratory deaths for lag 0 and with 3.35% (95% CI 1.90% to 4.83%) for lags 0-20. Significant adverse health effects were found of summer O(3) (June-August) on total and cardiovascular mortality that persist up to a week, but are counterbalanced by negative effects thereafter. CONCLUSIONS: The results indicate that studies on acute health effects of O(3) using single-day exposures may have overestimated the effects on total and cardiovascular mortality, but underestimated the effects on respiratory mortality.

Effects of cold weather on mortality: results from 15 European cities within the PHEWE project.

Weather-related health effects have attracted renewed interest because of the observed and predicted climate change. The authors studied the short-term effects of cold weather on mortality in 15 European cities. The effects of minimum apparent temperature on cause- and age-specific daily mortality were assessed for the cold season (October-March) by using data from 1990-2000. For city-specific analysis, the authors used Poisson regression and distributed lag models, controlling for potential confounders. Meta-regression models summarized the results and explored heterogeneity. A 1 degrees C decrease in temperature was associated with a 1.35% (95% confidence interval (CI): 1.16, 1.53) increase in the daily number of total natural deaths and a 1.72% (95% CI: 1.44, 2.01), 3.30% (95% CI: 2.61, 3.99), and 1.25% (95% CI: 0.77, 1.73) increase in cardiovascular, respiratory, and cerebrovascular deaths, respectively. The increase was greater for the older age groups. The cold effect was found to be greater in warmer (southern) cities and persisted up to 23 days, with no evidence of mortality displacement. Cold-related mortality is an important public health problem across Europe. It should not be underestimated by public health authorities because of the recent focus on heat-wave episodes.

The impact of the summer 2003 heat waves on mortality in four Italian cities.

This study evaluates the impact of the 2003 heat wave on cause-specific mortality and the role of demographic characteristics and socioeconomic conditions that may have increased the risk of mortality in four Italian cities: Bologna, Milan, Rome and Turin. Daily mortality counts, for the resident population by age, sex and cause of death were considered. Daily excess mortality was calculated as the difference between the number of deaths observed and the smoothed average. The impact of heat on health is measured in terms of maximum apparent temperature. The greatest excess in mortality was observed in the north west of Italy (Turin, +23% and Milan, +23%). The old (75-84 years) and the very old (85+ years) were the age groups most affected, and when stratifying by sex, the increase in mortality seemed to be greater among females. The greatest excess in mortality was registered in those with low socioeconomic status in Rome (+17.8%) and in those with lower education levels in Turin (+43%). The analysis of cause-specific mortality not only confirms results from previous studies of an increase in heat-related mortality by respiratory and cardiovascular diseases, but also shows a significant excess in mortality for diseases of the central nervous system and for metabolic/endocrine disorders. Results from 2003 highlight the necessity of targeting future prevention programmes at the susceptible sub-groups identified. The introduction of warning systems alongside efficient preventive plans and the monitoring of mortality during heat waves may represent a valid tool for the reduction of heat-related deaths.

The impact of the summer 2003 heat waves on mortality in four Italian cities.

This study evaluates the impact of the 2003 heat wave on cause-specific mortality and the role of demographic characteristics and socioeconomic conditions that may have increased the risk of mortality in four Italian cities: Bologna, Milan, Rome and Turin. Daily mortality counts, for the resident population by age, sex and cause of death were considered. Daily excess mortality was calculated as the difference between the number of deaths observed and the smoothed average. The impact of heat on health is measured in terms of maximum apparent temperature. The greatest excess in mortality was observed in the north west of Italy (Turin, +23% and Milan, +23%). The old (75-84 years) and the very old (85+ years) were the age groups most affected, and when stratifying by sex, the increase in mortality seemed to be greater among females. The greatest excess in mortality was registered in those with low socioeconomic status in Rome (+17.8%) and in those with lower education levels in Turin (+43%). The analysis of cause-specific mortality not only confirms results from previous studies of an increase in heat-related mortality by respiratory and cardiovascular diseases, but also shows a significant excess in mortality for diseases of the central nervous system and for metabolic/endocrine disorders. Results from 2003 highlight the necessity of targeting future prevention programmes at the susceptible sub-groups identified. The introduction of warning systems alongside efficient preventive plans and the monitoring of mortality during heat waves may represent a valid tool for the reduction of heat-related deaths.

Short-term effects of ambient particles on mortality in the elderly: results from 28 cities in the APHEA2 project.

Within the framework of the APHEA2 (Air Pollution on Health: a European Approach) project, the effects of ambient particles on mortality among persons > or = 65 yrs were investigated. Daily measurements for particles with a 50% cut-off aerodynamic diameter of 10 microm (PM10) and black smoke (BS), as well as the daily number of deaths among persons > or = 65 yrs of age, from 29 European cities, have been collected. Data on other pollutants and meteorological variables, to adjust for confounding effects and data on city characteristics, to investigate potential effect modification, were also recorded. For individual city analysis, generalised additive models extending Poisson regression, using a locally weighted regression (LOESS) smoother to control for seasonal effects, were applied. To combine individual city results and explore effect modification, second stage regression models were applied. The per cent increase (95% confidence intervals), associated with a 10 microg x m(-3) increase in PM10, in the elderly daily number of deaths was 0.8%, (0.7-0.9%) and the corresponding number for BS was 0.6%, (0.5-0.8%). The effect size was modified by the long-term average levels of nitrogen dioxide (higher levels were associated with larger effects), temperature (larger effects were observed in warmer countries), and by the proportion of the elderly in each city (a larger proportion was associated with higher effects). These results indicate that ambient particles have effects on mortality among the elderly, with relative risks comparable or slightly higher than those observed for total mortality and similar effect modification patterns. The effects among the older persons are of particular importance, since the attributable number of events will be much larger, compared to the number of deaths among the younger population.

[Deprivation and mortality: a deprivation index suitable for geographical analysis of inequalities]. / Deprivazione e mortalità: un indice di deprivazione per l'analisi delle disuguaglianze su base geografica.

UNLABELLED: FOREGROUND: A national deprivation index suitable for geographical analysis of inequalities in health is not yet available in Italy, although the link between deprivation and health has been clearly demonstrated in our country in a number of studies. OBJECTIVES: 1) To describe a deprivation index in Italy at municipal level, based on the percentage of selected census variables (simple components) 2) To analyse general mortality according to deprivation categories at municipal level in Italy 3) To measure the size of ecological bias using the Turin Longitudinal Study. SETTING: Italy (1-2), Turin (3). MATERIALS: 1) 1991 census data base at municipal level 2) General mortality in Italy by municipality and age bands in 1990-92. 3) Turin Longitudinal study 1991-1995. METHODS: 1) Percentages of selected indicators of inequalities for all the 8.100 Italian municipalities present at 1991 census were calculated. Factorial analysis were performed in order to help in selecting the most valuable ones. The final choice led to five indicators (low education, unemployment, rented occupier housing, no indoor bathroom, lone parent with childhood). A simple additive index was computed using the method of the sum of normal standard deviates of each component 2) Correlation of indexes with mortality was performed; SMR for each deprivation category were computed; 3) Computation of the index at different levels: individual (one million individuals), census ward (3657 wards), statistic zone (92 statistic zones), two neighborough levels (23 and 10 neighboroughs) was conducted; differential analysis was performed for each level and index category, allowing for comparison among results, adjusting for age. MAIN RESULTS: Increasing deprivation was significantly associated with mortality from all causes: there was up to a 20 percent increase in mortality between the highest and lowest quintile. The relationship was linear with no apparent threshold. The slope of the relationship between deprivation and mortality varied among regions. Differentials in inequalities measured by individual and census tract level resulted to be very small; ecological bias arises when larger areas are taken into account. CONCLUSIONS: An area based measure of deprivation has proved a valuable tool in examining differentials in death and is likely to prove of continuing value to health authorities in planning the delivery of health care.

[Social inequalities in the mortality due to cardiovascular diseases in Italy]. / Le diseguaglianze sociali nella mortalità per malattie cardiovascolari in Italia.

Social inequalities in cardiovascular disease mortality are described in this paper focusing on the results of the Studio Longitudinale Torinese (SLT), an investigation that links census data with the statistical data that are currently available. The overall results confirm that cardiovascular disease mortality is higher in less-advantaged socioeconomic groups, irrespectively of the social indicator used: education, social class, housing quality, job security. Stratified data shows less important inequalities among ischemic heart disease as compared to cerebrovascular mortality. The differences are even more complex when the age groups in the two genders are analyzed, revealing cohort effects. Overall, the results agree with the previous survey carried out by ISTAT on 1981 Italian mortality, which confirmed the variations in inequalities according to geographical areas, gender and age. Differences in access to the health system are likely to be related to the differences detected for geographical areas, while differences in personal history and attitude towards health-associated behavior should explain age and gender variations in inequalities. Equity must be included in the evaluation of preventive programs and health-care models. Epidemiological and social research should be encouraged to better understand the factors that influence inequalities in cardiovascular disease mortality and in the health status of the population at large.

[Air pollution and daily mortality in Turin, 1991-1996]. / Inquinamento atmosferico e mortalità giornaliera a Torino, 1991-1996.

A time series study was carried out to assess the relationship between the air pollutants measured by the air quality monitoring network and daily mortality in Turin, Italy. We used TSP, SO2, NO2, O3, and CO concentrations measured from 1-1-1991 to 31-12-1996 at three stations of the city network, chosen to represent different, typical circumstances of exposure to air pollution in the town. The analysis was performed by robust Poisson regression model including loss smoothing functions to allow for long-time trend, seasons, temperature and relative humidity. Dummy variables for the days of the week and holidays were also included. The relative risk of death for a unit increase in the pollutant concentration either during the same day (lag 0) in the previous ones (lag up to 5) was computed. The unit increase was 50 micrograms/m3 for TSP, SO2, NO2, O3, and 2 mg/m3 for CO. The average daily number of deaths for natural causes was 21. The relative risks for total mortality were 1.04 for TSP (lag 1), 1.10 for SO2 (lag 2), 1.06 for NO2 (lag 1), 1.01 for O3 (lag 0), 1.03 for CO (lag 1). The relative risks were 1.05 for TSP (lag 0), 1.12 for SO2 (lag 2), 1.07 for NO2 (lag 1), 1.03 for O3 (lag 0), 1.03 for CO (lag 1) for cardiovascular mortality, and 1.08 for TSP (lag 2), 1.20 for SO2 (lag 2), 1.12 for NO2 (lag 2), 1.03 for O3 (lag 2), 1.05 for CO (lag 2) for respiratory mortality.