Abstract

Abstract Background Exposure to air pollution has been associated with increased mortality, premature mortality, and morbidity. A causal relationship between fine particulate matter (PM2.5) exposure and cardiovascular morbidity and mortality was demonstrated by the American Heart Association. In 2020, exposure to PM2.5 concentrations above limits defined by World Health Organization was responsible for 238,000 and 2,600 premature deaths in the European Union and in Portugal, respectively. Aim To estimate the impact on cardiovascular diseases (CVD) attributable to exposure to PM2.5 between 2010 and 2020, expressed as years of life lost (YLL), in Portugal. Methods National Statistics databases were used to collect the number of cardiovascular mortality cases between 2010 and 2020. The atmospheric levels of PM2.5 were obtained from Online Database on Air Quality of the Portuguese Environment Agency. When PM2.5 data were absent, PM10 data were used to estimate the PM2.5 concentration through the ratio: PM2.5/PM10=0,65. The burden of disease was estimated as YLL. The YLLs due to PM2.5-associated stroke and IHD in the Portuguese adult population, older than 30 years, were determined using the population-attributable fraction (PAF). Results YLLs per year for stroke and IHD were estimated as 41,489.60 (95% CI: 34,610.68 - 48,368.52) YLL and 27,573.44 (95% CI: 24,939.94 - 30,206.93) YLL respectively. Between 2010 and 2020, the crude number of YLL in mainland Portugal due to PM2.5 exposure-associated stroke and IHD decreased. The YLLs for IHD and for stroke are higher for men than for women. However, for stroke, the YLLs do not demonstrate as significant a difference as for IHD. Conclusions These findings provide evidence of the impact of air pollution on human health, which are crucial for decision-making. Acknowledgments This work is funded by FCT/MCTES through national funds to PMCardImpact (EXPL/SAU-PUB/0944/2021). Key messages • Exposure to PM2.5 has a significant health impact concerning cardiovascular mortality. • Estimating burden of disease contributes for the decision making and environmental policies.

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