Biases Arising from the Use of Ambient Measurements to Represent Personal Exposure in Evaluating Inflammatory Responses to Fine Particulate Matter: Evidence from a Panel Study in Beijing, China

微粒 北京 代理(统计) 环境科学 中国 呼出气一氧化氮 环境化学 医学 全身炎症 地理 炎症 内科学 化学 统计 有机化学 考古 数学
作者
Yunfei Fan,Yiqun Han,Yingjun Liu,Yanwen Wang,Xi Chen,Chen Wu,Pengfei Liang,Yuguang Fang,Junxia Wang,Tao Xue,Yuan Yao,Weiju Li,Xinghua Qiu,Tong Zhu
出处
期刊:Environmental Science and Technology Letters [American Chemical Society]
卷期号:7 (10): 746-752 被引量:12
标识
DOI:10.1021/acs.estlett.0c00478
摘要

Ambient particulate matter (PM) is often used as a proxy of personal exposure in epidemiological studies of PM-induced health effects, yet whether this proxy biases the estimates of health effects is still unknown. On the basis of a panel study in Beijing, China, we investigated the dependence of 24 h personal exposure concentration to fine particles (PM2.5) and its carbonaceous components on the corresponding 24 h ambient concentration. The associated changes in inflammatory biomarkers with personal and ambient exposure were further examined using linear mixed-effect models. At ambient PM2.5 levels of <25 μg m–3, personal exposure to PM2.5 was often several times higher, with a median personal/ambient ratio of ∼3. The ratio declined with an increase in ambient concentration, approaching ∼1 at ambient PM2.5 levels of >75 μg m–3. Similar trends were also observed for organic carbon and elemental carbon. Personal exposures were significantly associated with both respiratory and systemic inflammatory biomarkers, such as fractional exhaled nitric oxide and white blood cell count. When ambient data were used, the association with systemic inflammation weakened. Our findings imply that the use of the ambient pollutant concentration as a proxy for personal exposure may be inaccurate and could bias the estimates of PM-induced health effects.

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