PDF(Pubmed)
Abstract：
BACKGROUND: Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures.
METHODS: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach.
RESULTS: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-μg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively.
CONCLUSIONS: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.
METHODS: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach.
RESULTS: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-μg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively.
CONCLUSIONS: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.
摘要：
背景：模型估计的空气污染暴露产品已广泛用于流行病学研究，以评估直径≤2.5µm（PM2.5）的颗粒物的健康风险。然而,很少有研究评估了模型估计和站点观测的PM2.5暴露之间的健康影响差异。
方法：我们每天收集所有原因，基于多城市多国家合作研究网络，全球15个国家和地区的347个城市的呼吸和心血管死亡率数据。站观测的PM2.5数据是从官方监测站获得的。模型估计的全球PM2.5产品是使用机器学习方法开发的。使用两阶段分析方法评估了每日PM2.5暴露与死亡率之间的关系。
结果：我们包括1580万所有原因，从2000年到2018年，有150万例呼吸死亡和450万例心血管死亡。短期暴露于PM2.5与站观测和模型估计暴露的死亡率相对风险增加（RRI）相关。2天移动平均PM2.5每增加10μg/m3，总RRI为0.67%（95%CI：0.49至0.85），所有原因为0.68％（95％CI：-0.03至1.39）和0.45％（95％CI：0.08至0.82），呼吸,基于站点观测的PM2.5和RRI的心血管死亡率为0.87%(95%CI：0.68至1.06)，基于模型估计的暴露量，为0.81%（95%CI：0.08至1.55）和0.71%（95%CI：0.32至1.09），分别。
结论：与每日PM2.5暴露相关的死亡率风险对于站点观测和模型估计的暴露是一致的，表明全球PM2.5产品在流行病学研究中的可靠性和潜在适用性。
方法：我们每天收集所有原因，基于多城市多国家合作研究网络，全球15个国家和地区的347个城市的呼吸和心血管死亡率数据。站观测的PM2.5数据是从官方监测站获得的。模型估计的全球PM2.5产品是使用机器学习方法开发的。使用两阶段分析方法评估了每日PM2.5暴露与死亡率之间的关系。
结果：我们包括1580万所有原因，从2000年到2018年，有150万例呼吸死亡和450万例心血管死亡。短期暴露于PM2.5与站观测和模型估计暴露的死亡率相对风险增加（RRI）相关。2天移动平均PM2.5每增加10μg/m3，总RRI为0.67%（95%CI：0.49至0.85），所有原因为0.68％（95％CI：-0.03至1.39）和0.45％（95％CI：0.08至0.82），呼吸,基于站点观测的PM2.5和RRI的心血管死亡率为0.87%(95%CI：0.68至1.06)，基于模型估计的暴露量，为0.81%（95%CI：0.08至1.55）和0.71%（95%CI：0.32至1.09），分别。
结论：与每日PM2.5暴露相关的死亡率风险对于站点观测和模型估计的暴露是一致的，表明全球PM2.5产品在流行病学研究中的可靠性和潜在适用性。
