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.

中文翻译：

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环境细颗粒物和每日死亡率：对 347 个城市观测到和估计暴露的比较分析。


背景模型估计的空气污染暴露产品已广泛应用于流行病学研究中，以评估直径≤2.5μm的颗粒物（PM2.5）的健康风险。然而，很少有研究评估模型估计的 PM2.5 暴露与监测站观测的 PM2.5 暴露之间的健康影响差异。方法 基于多城市多国家协作研究网络，我们收集了全球 15 个国家和地区 347 个城市的每日全因、呼吸和心血管死亡率数据。 PM2.5站测数据来自官方监测站。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接触 PM2.5 与死亡率之间的关联。结果 我们纳入了 2000 年至 2018 年间的 1580 万全因死亡、150 万呼吸系统死亡和 450 万心血管死亡。短期暴露于 PM2.5 与站观察和模型死亡率的相对风险增加 (RRI) 相关。估计的暴露量。 2 天移动平均 PM2.5 每增加 10 μg/m3，总体 RRI 分别为 0.67%（95% CI：0.49 至 0.85）、0.68%（95% CI：-0.03 至 1.39）和 0.45% (95% CI: 0.08 至 0.82) 基于站点观测 PM2.5 和 RRI 的全因死亡率、呼吸系统死亡率和心血管死亡率分别为 0.87% (95% CI: 0.68 至 1.06)、0.81% (95% CI: 0.08)根据模型估计的暴露量，分别为 0.71%（95% CI：0.32 至 1.09）。结论 与每日 PM2.5 暴露相关的死亡风险对于站点观测和模型估计暴露而言是一致的，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。