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- Quantitative risk-benefit assessment of Portuguese fish and other seafood species consumption scenariosPublication . Carvalho, Catarina; Correia, Daniela; Severo, Daniel; Afonso, Cláudia; Bandarra, Narcisa; Gonçalves, Susana; Lourenço, Helena; Dias, Maria da Graça; Oliveira, Luísa; Nabais, Pedro; Carmona, Paulo; Monteiro, Sarogini; Borges, Marta; Lopes, Carla; Torres, DuartePortugal has high fish/seafood consumption, which may have both risks and benefits. This study aims to quantify the net health impact of hypothetical scenarios of fish/seafood consumption in the Portuguese population using a risk-benefit assessment methodology. Consumption data from the National Food, Nutrition and Physical Activity Survey 2015-2016 (n 5811) were used to estimate the mean exposure to methylmercury and EPA + DHA in the current and the alternative scenarios considered. Alternative scenarios (alt) were modelled using probabilistic approaches to reflect substitutions from the current consumption in the type of fish/seafood (alt1: excluding predatory fishes; alt2: including only methylmercury low-level fishes) or in the frequency of weekly fish/seafood consumption (alt3 to alt6: 1, 3, 5 or 7 times a week, replacing fish/seafood meals with meat or others). The overall health impact of these scenarios was quantified using disability-adjusted life years (DALY). In the Portuguese population, about 11 450 DALY could be prevented each year if the fish/seafood consumption increased to a daily basis. However, such a scenario would result in 1398 extra DALY considering the consumption by pregnant women and the respective risk on fetal neurodevelopment. Our findings support a recommendation to increase fish/seafood consumption up to 7 times/week. However, for pregnant women and children, special considerations must be proposed to avoid potential risks on fetal neurodevelopment due to methylmercury exposure.
- Differential Mortality Risks Associated With PM2.5 Components: A Multi-Country, Multi-City StudyPublication . Masselot, Pierre; Sera, Francesco; Schneider, Rochelle; Kan, Haidong; Lavigne, Éric; Stafoggia, Massimo; Tobias, Aurelio; Chen, Hong; Burnett, Richard T.; Schwartz, Joel; Zanobetti, Antonella; Bell, Michelle L.; Chen, Bing-Yu; Guo, Yue-Liang Leon; Ragettli, Martina S.; Vicedo-Cabrera, Ana Maria; Åström, Christofer; Forsberg, Bertil; Íñiguez, Carmen; Garland, Rebecca M.; Scovronick, Noah; Madureira, Joana; Nunes, Baltazar; De la Cruz Valencia, César; Hurtado Diaz, Magali; Honda, Yasushi; Hashizume, Masahiro; Ng, Chris Fook Cheng; Samoli, Evangelia; Katsouyanni, Klea; Schneider, Alexandra; Breitner, Susanne; Ryti, Niilo R.I.; Jaakkola, Jouni J.K.; Maasikmets, Marek; Orru, Hans; Guo, Yuming; Valdés Ortega, Nicolás; Matus Correa, Patricia; Tong, Shilu; Gasparrini, AntonioBackground: The association between fine particulate matter (PM2.5) and mortality widely differs between as well as within countries. Differences in PM2.5 composition can play a role in modifying the effect estimates, but there is little evidence about which components have higher impacts on mortality. Methods: We applied a 2-stage analysis on data collected from 210 locations in 16 countries. In the first stage, we estimated location-specific relative risks (RR) for mortality associated with daily total PM2.5 through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM2.5 components as well as meta-predictors derived from city-specific socio-economic and environmental indicators. Results: We found associations between RR and several PM2.5 components. Increasing the ammonium (NH4+) proportion from 1% to 22%, while keeping a relative average proportion of other components, increased the RR from 1.0063 (95% confidence interval [95% CI] = 1.0030, 1.0097) to 1.0102 (95% CI = 1.0070, 1.0135). Conversely, an increase in nitrate (NO3-) from 1% to 71% resulted in a reduced RR, from 1.0100 (95% CI = 1.0067, 1.0133) to 1.0037 (95% CI = 0.9998, 1.0077). Differences in composition explained a substantial part of the heterogeneity in PM2.5 risk. Conclusions: These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM2.5 components and sources given the overlapping sources and correlations among many components.