Associations between source-resolved PM2.5 and airway inflammation at urban and rural locations in Beijing. (June 2020)

• Record Type: Journal Article
• Authors: Shang, Jing; Zhang, Yuanxun; Schauer, James J.; Tian, Jingyu; Hua, Jinxi; Han, Tingting; Fang, Dongqing; An, Jianxiong
• Is Part Of: Environment international. Volume 139(2020)
• Publication Date: 2020-06
• Subjects: Source apportionment -- Fractional exhaled nitric oxygen -- Personal exposure -- PM2.5; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2020.105635
• Languages: English
• ISSNs: 0160-4120

Abstract

Highlights: Demonstrate a cost-effective source-resolved PM2.5 exposure assessment for health effects assessment. Ambient PM2.5 mass was more associated with airway inflammation than personal PM2.5 . Source-resolved PM2.5 exposure components from outdoor were related to airway inflammation. Health risk of personal PM2.5 mass was masked by sources dominated by personal activity. Abstract: Background: A large number of research studies have explored the health effects of exposure to atmospheric particulate matter. However, limited quantitative evidence has linked specific sources of personal PM2.5 directly to adverse health effects. This study was conducted in order to examine the association between airway inflammation and personal exposure to PM2.5 mass, components, and sources among two healthy cohorts living in both urban and rural areas of Beijing, China. Methods: We conducted a follow-up study during the summer of 2016 and the winter of 2016/2017 among 92 students and 43 guards. 24-h personal and ambient exposure to PM2.5 and fractional exhaled nitric oxide (FeNO) were measured at least twice for each participant. Chemical components of 385 personal PM2.5 exposure samples were analyzed, and pollution sources were resolved by a positive matrix factorization (PMF) receptor model. We have constructed linear mixed effect models to evaluate the association between ambient/personal PM2.5 mass, chemical constituents, and source specific PM2.5 with FeNO after controlling for temperature, relative humidity, sites, season, and potential individual confounders. Results: Interquartile range (IQR) increase in household heating sources was associated with increased FeNO (2.72%; 95% CI = 1.26–4.17%) across two sites. IQR increase in roadway transport was associated with increased FeNO (9.84%; 95% CI = 2.69–17%) in urban areas; IQR increase in Secondary inorganic sources and Industrial/Combustion sources were associated with increased FeNO (7.96%; 95% CI = 1.47–14.4%% and 7.85%; 95% CI = 0.0676–15.6%, respectively) in rural areas. Personal exposure to EC, OC, and some trace elements (Se, Pb, Bi, Cs) were also estimated to be significantly associated with the increase of FeNO. In addition, there was no significant difference (P > 0.05) between the effects of ambient and personal PM2.5 mass. Conclusions: Although personal PM2.5 mass was not significantly associated with the health effects, airway inflammation can be linked to source-resolved exposures.