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•One of the aims of the Grading of Recommendations Development, Assessment and Evaluation (GRADE) Working Group (GWG) has been to develop a single system that would reduce confusion arising from a legion of multiple conflicting systems for grading evidence and recommendations and serve as unifying lingua franca.•Although GRADE has been widely endorsed, the way it is being used is not infrequently inconsistent with GRADE guidance and some groups have modified the approach.•Based on the suggested criteria for claiming the use and application of GRADE that are available on the GWG website since 2008, we propose 7 items that should be met to appropriately claim that the GRADE approach was used.•These requirements apply to, either assessing certainty of evidence (e.g., in systematic reviews or health technology assessments) and developing recommendations (e.g., in guidelines) or making health care decisions (e.g., coverage, public health or health systems).•The requirements include how the certainty of a body of evidence is defined, assessed for each critical outcome using the GRADE domains, and presented.•Furthermore, they suggest that explicit criteria (both health related and contextual) and evidence as described in the Evidence to Decision (EtD) frameworks should form the basis for recommendations or decisions and explicit judgements should be made for each criterion that is chosen for the EtD process.•A recommendation should have 1 of 2 strengths (strong or conditional, also called weak) and 1 of 2 directions (for or against).•Given these suggested minimal requirements, we also provide a detailed description of the GWG's current methods and processes for developing official GRADE guidance and concept articles, as well as by whom and how they are authored.•Following approval of terms of reference, the methods and process to developing official GRADE articles include: Identification of issues to be addressed through meetings and online communication; iterative presentations to small and larger audiences of multidisciplinary experts in the GWG; identification of real or hypothetical examples; review of the literature on specific topics to identify existing methodological concepts or guidance; presentation to the project group to collect feedback systematically; members of the project group, before presentation to the entire GWG membership for an anonymous vote-based approval; and final approval by the GRADE Guidance Group before peer review and publication.•If the solutions that are described have been applied and deemed appropriately operationalized, GRADE typically develops guidance articles and if they require testing and possibly future alteration, GRADE develops concept articles.

Few European studies have investigated the effects of long-term exposure to both fine particulate matter (≤ 2.5 µm; PM2.5) and nitrogen dioxide (NO2) on mortality. We studied the association of exposure to NO2, PM2.5, and traffic indicators on cause-specific mortality to evaluate the form of the concentration-response relationship. We analyzed a population-based cohort enrolled at the 2001 Italian census with 9 years of follow-up. We selected all 1,265,058 subjects ≥ 30 years of age who had been living in Rome for at least 5 years at baseline. Residential exposures included annual NO2 (from a land use regression model) and annual PM2.5 (from a Eulerian dispersion model), as well as distance to roads with > 10,000 vehicles/day and traffic intensity. We used Cox regression models to estimate associations with cause-specific mortality adjusted for individual (sex, age, place of birth, residential history, marital status, education, occupation) and area (socioeconomic status, clustering) characteristics. Long-term exposures to both NO2 and PM2.5 were associated with an increase in nonaccidental mortality [hazard ratio (HR) = 1.03 (95% CI: 1.02, 1.03) per 10-µg/m3 NO2; HR = 1.04 (95% CI: 1.03, 1.05) per 10-µg/m3 PM2.5]. The strongest association was found for ischemic heart diseases (IHD) [HR = 1.10 (95% CI: 1.06, 1.13) per 10-µg/m3 PM2.5], followed by cardiovascular diseases and lung cancer. The only association showing some deviation from linearity was that between NO2 and IHD. In a bi-pollutant model, the estimated effect of NO2 on mortality was independent of PM2.5. This large study strongly supports an effect of long-term exposure to NO2 and PM2.5 on mortality, especially from cardiovascular causes. The results are relevant for the next European policy decisions regarding air quality.

Animal agriculture has exponentially grown in recent decades in response to the rise in global demand for meat, even in countries like Italy that traditionally eat a Mediterranean, plant-based diet. Globalization related dietary changes are contributing to the epidemic of non-communicable diseases and to the global climate crisis, and are associated with huge carbon and water footprints. The objective of the study is to assess inequalities in health impacts and in attributable greenhouse gases-GHG emissions in Italy by hypothesizing different scenarios of reduction in red and processed meat consumption towards healthier consumption patterns more compliant with the recommendations of the Mediterranean food pyramid. We used demographic and food consumption patterns from national surveys and risk relationships between meat intake and cardiovascular and colorectal cancer mortality from IARC and other meta-analyses. From the baseline data (year 2005-2006, average 406 gr/week beef and 245 gr/week processed meat), we considered hypothetical meat reduction scenarios according to international dietary guidelines such as the Mediterranean pyramid targets. For each geographical area (Northwest, Northeast, Centre, and South) and gender, we calculated the number of avoidable deaths from colorectal cancer, and cardiovascular disease among the adult population. Moreover, years of life gained by the adult population from 2012 to 2030 and changes in life expectancy of the 2012 birth cohort were quantified using gender-specific life tables. GHG emission reductions under Mediterranean scenario were estimated only for beef by applying the Global Warming Potential (GWP) coefficient to total consumption and to a low carbon food substitution in adult diet. The deaths avoidable (as percentage change compared to baseline) according to the three reduction scenarios for beef consumption were between 2.3% and 4.5% for colorectal cancer, and between 2.1% and 4.0% for cardiovascular disease; higher benefits would be observed in Northwestern areas and among males. In parallel, 5% and 6.4% of colorectal cancer and CVD deaths would be avoided if the Italian population ate the advised quantity of processed meat. Life table analysis suggests that the scenario that is fully compliant with the Mediterranean diet model would save 5 million years of life lost prematurely among men and women over the next 18 years and would increase average life expectancy of future generations by over 7 months. Considering the environmental impact, emissions associated with the actual total intake of beef range from 12,900 to 21,800 Gg CO2 eq; emissions saved according to the Mediterranean scenario are in the range 8000-14000 Gg CO2 eq per year. The per capita reduction is 263 KgCO2eq/year/person with higher reductions in Northwestern and Central areas. In Italy, scenarios for reducing beef consumption are consistent with significant health and environmental co-benefits on current and future generations. Results support introducing policies to promote healthier behavior towards red and processed meat in the adult population within an overall balanced and healthy dietary pattern. Interventions should address gender, vulnerable population groups, and geographical differences in order to be more effective.

Living in areas with higher levels of surrounding greenness and access to urban green areas have been associated with beneficial health outcomes. Some studies suggested a beneficial influence on mortality, but the evidence is still controversial. We used longitudinal data from a large cohort to estimate associations of two measures of residential greenness exposure with cause-specific mortality and stroke incidence. We studied a population-based cohort of 1,263,721 residents in Rome aged [Formula: see text], followed from 2001 to 2013. As greenness exposure, we utilized the leaf area index (LAI), which expresses the tree canopy as the leaf area per unit ground surface area, and the normalized difference vegetation index (NDVI) within 300- and [Formula: see text] buffers around home addresses. We estimated the association between the two measures of residential greenness and the outcomes using Cox models, after controlling for relevant individual covariates and contextual characteristics, and explored potential mediation by air pollution [fine particulate matter with aerodynamic diameter [Formula: see text] [Formula: see text] and [Formula: see text]] and road traffic noise. We observed 198,704 deaths from nonaccidental causes, 81,269 from cardiovascular diseases [CVDs; 29,654 from ischemic heart disease (IHD)], 18,090 from cerebrovascular diseases, and 29,033 incident cases of stroke. Residential greenness, expressed as interquartile range (IQR) increase in LAI within [Formula: see text], was inversely associated with stroke incidence {hazard ratio (HR) 0.977 [95% confidence interval (CI): 0.961, 0.994]} and mortality for nonaccidental [HR 0.988 (95% CI: 0.981, 0.994)], cardiovascular [HR 0.984 (95% CI: 0.974, 0.994)] and cerebrovascular diseases [HR 0.964 (95% CI: 0.943, 0.985)]. Similar results were obtained using NDVI with 300- or [Formula: see text] buffers. Living in greener areas was associated with better health outcomes in our study, which could be partly due to reduced exposure to environmental hazards. Further research is required to understand the underlying mechanisms. https://doi.org/10.1289/EHP2854.

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 provide an impartial indicator for monitoring the following phases of the epidemic, and may help in the evaluation of mitigation measures adopted.

Background Few studies have explored the role of air pollution in neurodegenerative processes, especially various types of dementia. Our aim was to evaluate the association between long-term exposure to air pollution and first hospitalization for dementia subtypes in a large administrative cohort. Methods We selected 350,844 subjects (free of dementia) aged 65–100 years at inclusion (21/10/2001) and followed them until 31/12/2013. We selected all subjects hospitalized for the first time with primary or secondary diagnoses of various forms of dementia. We estimated the exposure at residence using land use regression models for nitrogen oxides (NOx, NO 2 ) and particulate matter (PM) and a chemical transport model for ozone (O 3 ). We used Cox models to estimate the association between exposure and first hospitalization for dementia and its subtypes: vascular dementia (Vd), Alzheimer’s disease (Ad) and senile dementia (Sd). Results We selected 21,548 first hospitalizations for dementia (7497 for Vd, 7669 for Ad and 7833 for Sd). Overall, we observed a negative association between exposure to NO 2 (10 μg/m 3 ) and dementia hospitalizations (HR = 0.97; 95% CI: 0.96–0.99) and a positive association between exposure to O 3 , NOx and dementia hospitalizations, (O 3 : HR = 1.06; 95% CI: 1.04–1.09 per 10 μg/m 3 ; NOx: HR = 1.01; 95% CI: 1.00–1.02 per 20 μg/m 3 ).H. Exposure to NOx, NO 2 , PM 2.5 , and PM 10 was positively associated with Vd and negatively associated with Ad. Hospitalization for Sd was positively associated with exposure to O 3 (HR = 1.20; 95% CI: 1.15–1.24 per 10 μg/m 3 ). Conclusions Our results showed a positive association between exposure to NOx and O 3 and hospitalization for dementia and a negative association between NO 2 exposure and hospitalization for dementia. In the analysis by subtype, exposure to each pollutants (except O 3 ) demonstrated a positive association with vascular dementia, while O 3 exposure was associated with senile dementia. The results regarding vascular dementia are a clear indication that the brain effects of air pollution are linked with vascular damage.

The Emergency Department (ED) services play a fundamental role in managing the accesses of potential Sars-Cov-2 cases. The aim of this study is to evaluate the impact of the SARS COV-2 pandemic on pediatric accesses in Emergency Department of Lazio Region. The population includes all pediatric accesses (0-17 years) in the ED of Lazio Region during 2019 and 2020. Accesses were characterized by age, week and calendar period. Four periods were defined: pre-lockdown, lockdown, post-lockdown and the second wave. The trend of ED accesses (total or for specific cause) in 2020 (by period and week) were compared to them occurred in 2019. ED visits have been described by absolute frequency and percentage variation. Percentage variation of adult was also reported to compare the trend in adult and young population. The Chi-square test was used to compare characteristics of admissions in 2019 and 2020. There is a large decrease of pediatric accesses in 2020 compared to 2019 (-47%), especially for younger age-classes (1-2 years: -52.5% and 3-5 years: -50.5%). Pediatric visits to ED in 2020 decreased following the same trend of adults, but more drastically (-47% vs -30%). ED accesses for suspected COVID-19 pneumonia trend show different characteristics between children and adults: in adults there is an increase in 2020, especially during the 2.sup.nd wave period (+321%), in children there is a decrease starting from the lockdown period to the achievement of the lowest level in December 2020 (-98%). This descriptive study has identified a decrease of total pediatric accesses in ED in 2020 compared to 2019 and a different trend of accesses by adult and young population especially by cause. The monitoring of paediatric accesses could be a useful tool to analyse the trend of COVID-19 pandemic in Italy and to reprogramming of the healthcare offer according to criteria of clinical and organizational appropriateness.

Migrants may be susceptible to vaccine barriers and hesitancy. We evaluated the association between migrant status, as measured by the citizenship from a High Migratory Pressure Country (HMPC), and COVID-19 vaccination uptake in the resident population in Rome, Italy. We also investigated sex differences. We followed participants for vaccination against COVID-19 in 2021. We calculated crude- and adjusted-vaccination rates and Cox hazard ratios of vaccination for migrants compared to Italians. Among migrants from HMPCs, we estimated HRs for females compared to males, stratifying by geographical area of origin. Models were adjusted for age and deprivation index and stratified by infection history. In 2021, among 1,731,832 18–64-year-olds, migrants were 55% less likely to uptake at least one COVID-19 vaccine dose than their Italian counterpart. Past SARS-CoV-2 infection reduced the difference between migrants and Italians to 27%. Among migrants from HMPCs, we observed a slight excess of vaccination uptake among females compared to males. Focusing on geographical areas, we observed that only females from central-western Asia were 9% less likely to uptake vaccination than males. Health communication strategies oriented to migrants and considering their different languages, cultures, and health literacy should be adopted for prevention before emergencies.