Abstract

Background/aimDaily air pollution has been linked with mortality from urban studies. Associations in rural areas are still unclear and there is growing interest in testing the role that air pollution has on other causes of death. This study aims to evaluate the association between daily air pollution and cause-specific mortality in all 8092 Italian municipalities. MethodsNatural, cardiovascular, cardiac, ischemic, cerebrovascular, respiratory, metabolic, diabetes, nervous and psychiatric causes of death occurred in Italy were extracted during 2013–2015. Daily ambient PM10, PM2.5 and NO2 concentrations were estimated through machine learning algorithms. The associations between air pollutants and cause-specific mortality were estimated with a time-series approach using a two-stage analytic protocol where area-specific over-dispersed Poisson regression models where fit in the first stage, followed by a meta-analysis in the second. We tested for effect modification by sex, age class and the degree of urbanisation of the municipality. ResultsWe estimated a positive association between PM10 and PM2.5 and the mortality from natural, cardiovascular, cardiac, respiratory and nervous system causes, but not with metabolic or psychiatric causes of death. In particular, mortality from nervous diseases increased by 4.55% (95% CI: 2.51–6.63) and 9.64% (95% CI: 5.76–13.65) for increments of 10 μg/m3 in PM10 and PM2.5 (lag 0–5 days), respectively. NO2 was positively associated with respiratory (6.68% (95% CI: 1.04–12.62)) and metabolic (7.30% (95% CI: 1.03–13.95)) mortality for increments of 10 μg/m3 (lag 0–5). Higher associations with natural mortality were found among the elderly, while there were no differential effects between sex or between rural and urban areas. ConclusionsShort-term exposure to particulate matter was associated with mortality from nervous diseases. Mortality from metabolic diseases was associated with NO2 exposure. Other associations are confirmed and updated, including the contribution of lowly urbanised areas. Health effects were also found in suburban and rural areas.

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