Air pollution poses a health hazard in all countries.However,complete data on ambient particulate matter(PM)concentrations are not available in all world regions.Reanalysis data is already a valuable source of exposur...Air pollution poses a health hazard in all countries.However,complete data on ambient particulate matter(PM)concentrations are not available in all world regions.Reanalysis data is already a valuable source of exposure data in epidemiological studies examining the relationship between temperature and health.Nevertheless,the performance of reanalysis data in assessing the short-term health effects of particulate air pollution remains unclear.We assessed the performance of CAMS reanalysis(EAC4)data from the European Centre for Medium-Range Weather Forecasts,compared with daily PM concentrations from field monitoring stations,to estimate short-term exposure to PM with an aerodynamic diameter less than 10μm(PM_(10))on daily mortality in 33 Spanish provincial capital cities using a two-stage time series regression design.The shape of the PM_(10)distribution varied substantially between PM observations and CAMS global reanalysis of atmospheric composition(EAC4)reanalysis data,with correlation ranging from 0.21 to 0.58.The pooled mortality risk for a 10μg/m^(3)increase in PM_(10)showed similar estimates using PM concentrations{relative risks(RR)=1.007,95%confidence intervals(95%CI)=[1.002,1.011]}and EAC4 reanalysis data(RR=1.011,95%CI=[1.006,1.015]).However,the city-specific PM_(10)beta coefficients estimated using PM concentrations and EAC4 reanalysis data showed a low correlation(r=0.22).The use of reanalysis data should be approached with caution when assessing the association between particulate matter air pollution and health outcomes,particularly in cities with small populations.展开更多
文摘Air pollution poses a health hazard in all countries.However,complete data on ambient particulate matter(PM)concentrations are not available in all world regions.Reanalysis data is already a valuable source of exposure data in epidemiological studies examining the relationship between temperature and health.Nevertheless,the performance of reanalysis data in assessing the short-term health effects of particulate air pollution remains unclear.We assessed the performance of CAMS reanalysis(EAC4)data from the European Centre for Medium-Range Weather Forecasts,compared with daily PM concentrations from field monitoring stations,to estimate short-term exposure to PM with an aerodynamic diameter less than 10μm(PM_(10))on daily mortality in 33 Spanish provincial capital cities using a two-stage time series regression design.The shape of the PM_(10)distribution varied substantially between PM observations and CAMS global reanalysis of atmospheric composition(EAC4)reanalysis data,with correlation ranging from 0.21 to 0.58.The pooled mortality risk for a 10μg/m^(3)increase in PM_(10)showed similar estimates using PM concentrations{relative risks(RR)=1.007,95%confidence intervals(95%CI)=[1.002,1.011]}and EAC4 reanalysis data(RR=1.011,95%CI=[1.006,1.015]).However,the city-specific PM_(10)beta coefficients estimated using PM concentrations and EAC4 reanalysis data showed a low correlation(r=0.22).The use of reanalysis data should be approached with caution when assessing the association between particulate matter air pollution and health outcomes,particularly in cities with small populations.
