Valutazioni di impatto sanitario, sorveglianza, epidemiologica e studi di intervento nelle aree a rischio. Health Impact Assessment, surveillance and intervention studies in contaminated areas

xlla fine di agosto 2013 ? stato approvato un provvedimento congiunto dei Ministeri di salute e ambiente che stabilisce i criteri metodologici utili per la redazione del rapporto di valutazione del danno sanitario (VDS). In presenza di uno ?stabilimento [ritenuto - n.d.r.] di interesse strategico nazionale? tale documento dovr? essere predisposto annualmente dagli Enti interessati (ASL, ARPA). Il rapporto di valutazione deve informare dello stato di salute connesso a rischi attribuibili all\u27attivit? dello stabilimento in esame, fornire elementi di valutazione per il riesame dell\u27autorizzazione integrata ambientale per indirizzarla a soluzioni tecniche pi? efficaci nel ridurre i potenziali esiti sanitari indesiderati, valutare l\u27efficacia in ambito sanitario delle prescrizioni. Il decreto di definizione dei criteri di valutazione del danno sanitario era previsto dal Decreto n. 207/2012, varato per garantire la produzione dell\u27ILVA di Taranto e l\u27applicazione dell\u27Autorizzazione integrata ambientale

Socioeconomic differentials in premature mortality in Rome: changes from 1990 to 2001

BACKGROUND: While socioeconomic inequalities in mortality have widened in many countries, evidence of social differentials is scarce in Southern Europe. We studied temporal changes in premature mortality across socioeconomic groups in Rome between 1990 and 2001. METHODS: We analysed all 126,511 death certificates of residents of Rome aged 0–74 years registered between 1990–2001. A 4-level census block index based on the 1991 census was used as an indicator of socioeconomic position (SEP). Using routine mortality data, standardised mortality rates (per 100,000 inhabitants) were calculated by SEP and gender for four time periods. Rate ratios were used to compare mortality by gender and age. RESULTS: Overall premature mortality decreased in both genders and in all socioeconomic groups; the change was greater in the highest socio-economic group. In both men and women, inequalities in mortality strengthened during the 1990s and appeared to stabilise at the end of the 20th century. However, for 60–74 year old women the gap continued to widen. CONCLUSION: Socioeconomic inequalities in health in Rome are still present at the beginning of the 21(st )century. Strategies to monitor the impact of SEP on mortality over time in different populations should be implemented to direct health policies

Does mild COPD affect prognosis in the elderly?

<p>Abstract</p> <p>Background</p> <p>Chronic obstructive pulmonary disease (COPD) affects independence and survival in the general population, but it is unknown to which extent this conclusion applies to elderly people with mild disease. The aim of this study was to verify whether mild COPD, defined according to different classification systems (ATS/ERS, BTS, GOLD) impacts independence and survival in elderly (aged 65 to 74 years) or very elderly (aged 75 years or older) patients.</p> <p>Methods</p> <p>We used data coming from the Respiratory Health in the Elderly (Salute Respiratoria nell'Anziano, SaRA) study and compared the differences between the classification systems with regards to personal capabilities and 5-years survival, focusing on the mild stage of COPD.</p> <p>Results</p> <p>We analyzed data from 1,159 patients (49% women) with a mean age of 73.2 years (SD: 6.1). One third of participants were 75 years or older. Mild COPD, whichever was its definition, was not associated with worse personal capabilities or increased mortality after adjustment for potential confounders in both age groups.</p> <p>Conclusions</p> <p>Mild COPD may not affect survival or personal independence of patients over 65 years of age if the reference group consists of patients with a comparable burden of non respiratory diseases. Comorbidity and age itself likely are main determinants of both outcomes.</p

Strategy for primary prevention of non-communicable diseases (NCD) and mitigation of climate change in Italy

This paper derives from a document commissioned in 2019 by the Italian Minister of Health, and outlines a general strategy for primary prevention of noncommunicable diseases in Italy, with a special focus on cobenefits of climate change mitigation. Given that action against climate change is primarily taken via energy choices, limiting the use of fossil fuels and promoting renewable sources, an effective strategy is one in which interventions are designed to prevent diseases and jointly mitigate climate change, the so-called cobenefits. For policies capable of producing relevant co-benefits we focus on three categories of interventions, urban planning, diet and transport that are of special importance. For example, policies promoting active transport (cycling, walking) have the triple effect of mitigating greenhouse gas emissions, preventing diseases related to atmospheric pollution, and increasing physical activity, thus preventing obesity and diabetes. In particular, we propose that for 2025 the following goals are achieved: reduce the prevalence of smokers by 30%, with particular emphasis on young people; reduce the prevalence of childhood obesity by 20%; reduce the proportion of calories obtained from ultraprocessed foods by 20%; reduce the consumption of alcohol by 10%; reduce the consumption of salt by 30%; reduce the consumption of sugary drinks by 20%; reduce the average consumption of meat by 20%; increase the weekly hours of exercise by 10%. The aim is to complement individual health promotion with structural policies (such as urban planning, taxation and incentives) which render the former more effective and result in a reduction in inequality. We strongly encourage the inclusion of primary prevention in all policies, in light of the described cobenefits. Italy\u2019s role as the cohost of the 2020 (now 2021) UN climate negotiations (COP26) presents the opportunity for international leadership in addressing health as an integral component of the response to climate change

Industrial air pollution and mortality in the Taranto area, Southern Italy: A difference-in-differences approach.

Background: A large steel plant close to the urban area of Taranto (Italy) has been operating since the sixties. Several studies conducted in the past reported an excess of mortality and morbidity from various diseases at the town level, possibly due to air pollution from the plant. However, the relationship between air pollutants emitted from the industry and adverse health outcomes has been controversial. We applied a variant of the "difference-in-differences" (DID) approach to examine the relationship between temporal changes in exposure to industrial PM10 from the plant and changes in cause-specific mortality rates at area unit level. Methods: We examined a dynamic cohort of all subjects (321,356 individuals) resident in the Taranto area in 1998–2010 and followed them up for mortality till 2014. In this work, we included only deaths occurring on 2008–2014. We observed a total of 15,303 natural deaths in the cohort and age-specific annual death rates were computed for each area unit (11 areas in total). PM10 and NO2 concentrations measured at air quality monitoring stations and the results of a dispersion model were used to estimate annual average population weighted exposures to PM10 of industrial origin for each year, area unit and age class. Changes in exposures and in mortality were analyzed using Poisson regression. Results: We estimated an increased risk in natural mortality (1.86%, 95% confidence interval [CI]: −0.06, 3.83%) per 1 μg/m3 annual change of industrial PM10, mainly driven by respiratory causes (8.74%, 95% CI: 1.50, 16.51%). The associations were statistically significant only in the elderly (65+ years). Conclusions: The DID approach is intuitively simple and reduces confounding by design. Under the multiple assumptions of this approach, the study indicates an effect of industrial PM10 on natural mortality, especially in the elderly population. Keywords: Air pollution, Mortality, PM10, Steel industry, Confounding, Difference-in-difference

Outdoor Particulate Matter Exposure and Lung Cancer: A Systematic Review and Meta-Analysis

Background: Particulate matter (PM) in outdoor air pollution was recently designated a Group I carcinogen by the International Agency for Research on Cancer (IARC). This determination was based on the evidence regarding the relationship of PM2.5 and PM10 to lung cancer risk; however, the IARC evaluation did not include a quantitative summary of the evidence. Objective: Our goal was to provide a systematic review and quantitative summary of the evidence regarding the relationship between PM and lung cancer. Methods: We conducted meta-analyses of studies examining the relationship of exposure to PM2.5 and PM10 with lung cancer incidence and mortality. In total, 18 studies met our inclusion criteria and provided the information necessary to estimate the change in lung cancer risk per 10-μg/m3 increase in exposure to PM. We used random-effects analyses to allow between-study variability to contribute to meta-estimates. Results: The meta-relative risk for lung cancer associated with PM2.5 was 1.09 (95% CI: 1.04, 1.14). The meta-relative risk of lung cancer associated with PM10 was similar, but less precise: 1.08 (95% CI: 1.00, 1.17). Estimates were robust to restriction to studies that considered potential confounders, as well as subanalyses by exposure assessment method. Analyses by smoking status showed that lung cancer risk associated with PM2.5 was greatest for former smokers [1.44 (95% CI: 1.04, 1.22)], followed by never-smokers [1.18 (95% CI: 1.00, 1.39)], and then current smokers [1.06 (95% CI: 0.97, 1.15)]. In addition, meta-estimates for adenocarcinoma associated with PM2.5 and PM10 were 1.40 (95% CI: 1.07, 1.83) and 1.29 (95% CI: 1.02, 1.63), respectively. Conclusion: The results of these analyses, and the decision of the IARC Working Group to classify PM and outdoor air pollution as carcinogenic (Group 1), further justify efforts to reduce exposures to air pollutants that can arise from many sources. Citation: Hamra GB, Guha N, Cohen A, Laden F, Raaschou-Nielsen O, Samet JM, Vineis P, Forastiere F, Saldiva P, Yorifuji T, Loomis D. 2014. Outdoor particulate matter exposure and lung cancer: a systematic review and meta-analysis. Environ Health Perspect 122:906–911; http://dx.doi.org/10.1289/ehp.140809

Lung cancer mortality of residents living near petrochemical industrial complexes: a meta-analysis

Background: Lung cancer, as the leading cause of cancer mortality worldwide, has been linked to environmental factors, such as air pollution. Residential exposure to petrochemicals is considered a possible cause of lung cancer for the nearby population, but results are inconsistent across previous studies. Therefore, we performed a meta-analysis to estimate the pooled risk and to identify possible factors leading to the heterogeneity among studies. Methods: The standard process of selecting studies followed the Cochrane meta-analysis guideline of identification, screening, eligibility, and inclusion. We assessed the quality of selected studies using the Newcastle-Ottawa scale. Reported point estimates and 95% confidence intervals were extracted or calculated to estimate the pooled risk. Air quality standards were summarized and treated as a surrogate of exposure to air pollution in the studied countries. Funnel plots, Begg’s test and Egger’s test were conducted to diagnose publication bias. Meta-regressions were performed to identify explanatory variables of heterogeneity across studies. Results: A total of 2,017,365 people living nearby petrochemical industrial complexes (PICs) from 13 independent studied population were included in the analysis. The pooled risk of lung cancer mortality for residents living nearby PICs was 1.03-fold higher than people living in non-PIC areas (95% CI = 0.98–1.09), with a low heterogeneity among studies (I 2 = 25.3%). Such effect was stronger by a factor of 12.6% for the year of follow-up started 1 year earlier (p-value = 0.034). Conclusions: Our meta-analysis gathering current evidence suggests only a slightly higher risk of lung cancer mortality among residents living nearby PICs, albeit such association didn’t receive statistically significance. Reasons for higher risks of early residential exposure to PICs might be attributable to the lack of or less stringent air pollution regulations. Electronic supplementary material The online version of this article (10.1186/s12940-017-0309-2) contains supplementary material, which is available to authorized users

Comparison of different methods in analyzing short-term air pollution effects in a cohort study of susceptible individuals

BACKGROUND: Short-term fluctuations of ambient air pollution have been associated with exacerbation of cardiovascular disease. A multi-city study was designed to assess the probability of recurrent hospitalization in a cohort of incident myocardial infarction survivors in five European cities. The objective of this paper is to discuss the methods for analyzing short-term health effects in a cohort study based on a case-series. METHODS: Three methods were considered for the analyses of the cohort data: Poisson regression approach, case-crossover analyses and extended Cox regression analyses. The major challenge of these analyses is to appropriately consider changes within the cohort over time due to changes in the underlying risk following a myocardial infarction, slow time trends in risk factors within the population, dynamic cohort size and seasonal variation. RESULTS: Poisson regression analyses, case-crossover analyses and Extended Cox regression analyses gave similar results. Application of smoothing methods showed the capability to adequately model the complex time trends. CONCLUSION: From a practical point of view, Poisson regression analyses are less time-consuming, and therefore might be used for confounder selection and most of the analyses. However, replication of the results with Cox models is desirable to assure that the results are independent of the analytical approach used. In addition, extended Cox regression analyses would allow a joint estimation of long-term and short-term health effects of time-varying exposures