School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.
Department of Statistics, Computer Science and Applications "G. Parenti," University of Florence, Florence, Italy.
BMJ. 2023 Oct 4;383:e075203. doi: 10.1136/bmj-2023-075203.
To investigate potential interactive effects of fine particulate matter (PM) and ozone (O) on daily mortality at global level.
Two stage time series analysis.
372 cities across 19 countries and regions.
Daily counts of deaths from all causes, cardiovascular disease, and respiratory disease.
Daily mortality data during 1994-2020. Stratified analyses by co-pollutant exposures and synergy index (>1 denotes the combined effect of pollutants is greater than individual effects) were applied to explore the interaction between PM and O in association with mortality.
During the study period across the 372 cities, 19.3 million deaths were attributable to all causes, 5.3 million to cardiovascular disease, and 1.9 million to respiratory disease. The risk of total mortality for a 10 μg/m increment in PM (lag 0-1 days) ranged from 0.47% (95% confidence interval 0.26% to 0.67%) to 1.25% (1.02% to 1.48%) from the lowest to highest fourths of O concentration; and for a 10 μg/m increase in O ranged from 0.04% (-0.09% to 0.16%) to 0.29% (0.18% to 0.39%) from the lowest to highest fourths of PM concentration, with significant differences between strata (P for interaction <0.001). A significant synergistic interaction was also identified between PM and O for total mortality, with a synergy index of 1.93 (95% confidence interval 1.47 to 3.34). Subgroup analyses showed that interactions between PM and O on all three mortality endpoints were more prominent in high latitude regions and during cold seasons.
The findings of this study suggest a synergistic effect of PM and O on total, cardiovascular, and respiratory mortality, indicating the benefit of coordinated control strategies for both pollutants.
在全球范围内研究细颗粒物(PM)和臭氧(O)对每日死亡率的潜在交互影响。
两阶段时间序列分析。
19 个国家和地区的 372 个城市。
所有原因、心血管疾病和呼吸道疾病的每日死亡人数。
1994 年至 2020 年期间的每日死亡率数据。采用分层分析方法,对共同污染物暴露和协同指数(>1 表示污染物的综合效应大于单个效应)进行分层分析,以探讨 PM 和 O 之间与死亡率相关的相互作用。
在研究期间,在 372 个城市中,有 1930 万人的死亡归因于所有原因,530 万人归因于心血管疾病,190 万人归因于呼吸道疾病。PM(滞后 0-1 天)每增加 10μg/m,总死亡率的风险范围从 O 浓度最低到最高四分位数的 0.47%(95%置信区间 0.26%至 0.67%)到 1.25%(1.02%至 1.48%);对于 O 每增加 10μg/m,总死亡率的风险范围从 PM 浓度最低到最高四分位数的 0.04%(-0.09%至 0.16%)到 0.29%(0.18%至 0.39%),不同浓度层之间存在显著差异(P<0.001)。PM 和 O 之间对总死亡率也存在显著协同相互作用,协同指数为 1.93(95%置信区间 1.47 至 3.34)。亚组分析表明,在高纬度地区和寒冷季节,PM 和 O 对所有三种死亡率终点的相互作用更为明显。
本研究结果表明,PM 和 O 对总死亡率、心血管死亡率和呼吸道死亡率存在协同效应,这表明协调控制这两种污染物的策略具有益处。