An unprecedented heatwave swept the globe in 2023,marking it one of the hottest years on record and raising concerns about its health impacts.However,a comprehensive assessment of the heatwave-related mortality and it...An unprecedented heatwave swept the globe in 2023,marking it one of the hottest years on record and raising concerns about its health impacts.However,a comprehensive assessment of the heatwave-related mortality and its attribution to human-induced climate change remains lacking.We aim to address this gap by analyzing high-resolution climate and mortality data from 2,013 locations across 67 countries/territories using a threestage modeling approach.First,we estimated historical heatwave-mortality associations using a quasi-Poisson regression model with distributed lag structures,considering lag effects,seasonality,and within-week variations.展开更多
Climate change has increased interest in the effects of the thermal environment on cardiovascular health.Most studies have focused on mortality data.However,pre-hospital care data are better able to evaluate these eff...Climate change has increased interest in the effects of the thermal environment on cardiovascular health.Most studies have focused on mortality data.However,pre-hospital care data are better able to evaluate these effects,as they can register the full spectrum of the disease in real time.This scoping review aims to synthesize the epidemiological evidence regarding the effects of the thermal environment on cardiovascular morbidity in the pre-hospital setting,evaluated through ambulance calls.A staged literature search was performed using the PubMed database for the period between 1st January 2000 and 30th March 2023,using the MeSH terms“Weather”AND“Emergency Medical Services”.A total of 987 publications were identified that examined the correlation between the thermal environment and ambulance call-outs for cardiovascular causes.The studies were mostly ecological time series,with significant variability in the methodological aspects employed.An increase in the number of ambulance call-outs has been observed in association with low temperatures,both for overall cardiovascular pathologies and for certain pathological subtypes.For high temperatures,no effect has been observed in overall call-outs,although an increase has been observed during heat waves.The demand for ambulances for cardiac arrests is increased by both low and high temperatures and during heat waves.Ambulance call-outs for cardiovascular causes increase with low temperatures and heat waves,with no significant increase in the overall demand associated with high temperatures.Ambulance call-outs for cardiac arrests are the only subtype that is increased by high temperatures.展开更多
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
基金supported by the Australian Research Council(DP210102076)the Australian National Health and Medical Research Council(APP2000581)+15 种基金supported by the China Scholarship Council(no.202006380055)supported by the Monash Graduate Scholarship and the Monash International Tuition Scholarshipsupported by an Emerging Leader Fellowship of the Australian National Health and Medical Research Council(no.APP2009866)supported by the Program of Qilu Young Scholars of Shandong University,Jinan,Chinasupported by the Fellowship(no.APP2008813)of the Australian National Health and Medical Research Councilsupported by the VicHealth Postdoctoral Fellowship 2022supported by the Science and Technology Commission of Shanghai Municipality(grant no.18411951600),Chinasupported by the EU’s Horizon 2020 project,Exhaustion(grant no.820655)Wellcome-funded project BREATHE(grant no.308914/Z/23/Z)funding from the Czech Ministry of Education Youth and Sport’s programme ERC CZ(ID:LL2410)supported by the JSPS KAKENHI(grant no.24K13527)supported by the Medical Research Council,United Kingdom(grant no.MR/R013349/1)the Natural Environment Research Council United Kingdom(grant no.NE/R009384/1)the EU’s Horizon 2020 project,Exhaustion(grant no.820655)supported by a‘Ramón y Cajal’fellowship program of the Spanish Ministry of Science and Innovation(no.RYC2022-036948-I)supported by the Leader Fellowship(no.APP2008813)of the Australian National Health and Medical Research Council.
文摘An unprecedented heatwave swept the globe in 2023,marking it one of the hottest years on record and raising concerns about its health impacts.However,a comprehensive assessment of the heatwave-related mortality and its attribution to human-induced climate change remains lacking.We aim to address this gap by analyzing high-resolution climate and mortality data from 2,013 locations across 67 countries/territories using a threestage modeling approach.First,we estimated historical heatwave-mortality associations using a quasi-Poisson regression model with distributed lag structures,considering lag effects,seasonality,and within-week variations.
文摘Climate change has increased interest in the effects of the thermal environment on cardiovascular health.Most studies have focused on mortality data.However,pre-hospital care data are better able to evaluate these effects,as they can register the full spectrum of the disease in real time.This scoping review aims to synthesize the epidemiological evidence regarding the effects of the thermal environment on cardiovascular morbidity in the pre-hospital setting,evaluated through ambulance calls.A staged literature search was performed using the PubMed database for the period between 1st January 2000 and 30th March 2023,using the MeSH terms“Weather”AND“Emergency Medical Services”.A total of 987 publications were identified that examined the correlation between the thermal environment and ambulance call-outs for cardiovascular causes.The studies were mostly ecological time series,with significant variability in the methodological aspects employed.An increase in the number of ambulance call-outs has been observed in association with low temperatures,both for overall cardiovascular pathologies and for certain pathological subtypes.For high temperatures,no effect has been observed in overall call-outs,although an increase has been observed during heat waves.The demand for ambulances for cardiac arrests is increased by both low and high temperatures and during heat waves.Ambulance call-outs for cardiovascular causes increase with low temperatures and heat waves,with no significant increase in the overall demand associated with high temperatures.Ambulance call-outs for cardiac arrests are the only subtype that is increased by high temperatures.
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.
