title: Association between size-segregated particles in ambient air and acute respiratory inflammation.
abstract: The health effects of particulate matter (PM) in ambient air are well documented. However, whether PM size plays a critical role in these effects is unclear in the population studies. This study investigated the association between the ambient concentrations of PM with varies sizes (5.6-560nm) and a biomarker of acute respiratory inflammation, the fraction of exhaled nitric oxide (FENO), in a panel of 55 elderly people in Shanghai, China. Linear mixed-effect model was fitted to estimate the association between FENO and moving average concentrations of PM, adjusting for temperature, relative humidity, day of the week, and age. Results showed that among the measured particles size range, Aitken-mode (20-100nm) particles had the strongest positive association with increased FENO when using moving average concentration of PM up to 24h prior to visits. The estimates were robust to the adjustment for gender, condition of chronic disease and use of medication, and to the sensitive analysis using different times of visits. The authors concluded that the association between acute respiratory inflammation and PM concentration of fine particulates depended on particle size, and suggested Aitken-mode particles may be the most responsible for this adverse health association.
authors.affiliation: College of Environmental Sciences and Engineering and Centre for Environment and Health, Peking University, Beijing 100871, China. Electronic address: yiqunhs@126.com.
authors.forename: Yiqun
authors.initials: Y
authors.lastname: Han
authors.affiliation: College of Environmental Sciences and Engineering and Centre for Environment and Health, Peking University, Beijing 100871, China. Electronic address: tzhu@pku.edu.cn.
authors.forename: Tong
authors.initials: T
authors.lastname: Zhu
authors.affiliation: College of Environmental Sciences and Engineering and Centre for Environment and Health, Peking University, Beijing 100871, China.
authors.forename: Tianjia
authors.initials: T
authors.lastname: Guan
authors.affiliation: College of Environmental Sciences and Engineering and Centre for Environment and Health, Peking University, Beijing 100871, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: College of Environmental Sciences and Engineering and Centre for Environment and Health, Peking University, Beijing 100871, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Liu
authors.affiliation: The Center for Diseases Control and Prevention of Huangpu District, Shanghai, China.
authors.forename: Yunfang
authors.initials: Y
authors.lastname: Ji
authors.affiliation: The Center for Diseases Control and Prevention of Huangpu District, Shanghai, China.
authors.forename: Shuna
authors.initials: S
authors.lastname: Gao
authors.affiliation: The Center for Diseases Control and Prevention of Huangpu District, Shanghai, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Wang
authors.affiliation: The Center for Diseases Control and Prevention of Huangpu District, Shanghai, China.
authors.forename: Huimin
authors.initials: H
authors.lastname: Lu
authors.affiliation: College of Occupational & Environmental Health, School of Public Health, Center of Health Sciences, Peking University, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Huang
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000393:Air Pollutants / Q000009:adverse effects* / Q000032:analysis*; D002681:China / Q000453:epidemiology; D004781:Environmental Exposure / Q000009:adverse effects; D005260:Female; D006801:Humans; D007249:Inflammation / Q000453:epidemiology / Q000209:etiology*; D008297:Male; D008875:Middle Aged; D009569:Nitric Oxide / Q000032:analysis*; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis*; D012140:Respiratory Tract Diseases / Q000453:epidemiology / Q000209:etiology*; D013997:Time Factors
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter; D009569:Nitric Oxide
keywords: Aitken-mode particles; Elderly; Respiratory inflammation; Size-segregated particles; Ultrafine particles