globalchange  > 气候变化事实与影响
DOI: 10.1289/ehp.1408541
论文题名:
Air Pollution and Lung Function in Dutch Children: A Comparison of Exposure Estimates and Associations Based on Land Use Regression and Dispersion Exposure Modeling Approaches
作者: Meng Wang; 1 Ulrike Gehring; 1 Gerard Hoek; 1 Menno Keuken; 2 S; er Jonkers; 2 Rob Beelen; 1 Marloes Eeftens; 1; 3; 4 Dirkje S. Postma; 5; Bert Brunekreef1; 6
刊名: Environmental Health Perspectives
ISSN: 0091-7263
出版年: 2015
卷: Volume 123, 期:Issue 8
起始页码: 847
语种: 英语
英文摘要: Background: There is limited knowledge about the extent to which estimates of air pollution effects on health are affected by the choice for a specific exposure model.

Objectives: We aimed to evaluate the correlation between long-term air pollution exposure estimates using two commonly used exposure modeling techniques [dispersion and land use regression (LUR) models] and, in addition, to compare the estimates of the association between long-term exposure to air pollution and lung function in children using these exposure modeling techniques.

Methods: We used data of 1,058 participants of a Dutch birth cohort study with measured forced expiratory volume in 1 sec (FEV1), forced vital capacity (FVC), and peak expiratory flow (PEF) measurements at 8 years of age. For each child, annual average outdoor air pollution exposure [nitrogen dioxide (NO2), mass concentration of particulate matter with diameters ≤ 2.5 and ≤ 10 μm (PM2.5, PM10), and PM2.5 soot] was estimated for the current addresses of the participants by a dispersion and a LUR model. Associations between exposures to air pollution and lung function parameters were estimated using linear regression analysis with confounder adjustment.

Results: Correlations between LUR- and dispersion-modeled pollution concentrations were high for NO2, PM2.5, and PM2.5 soot (R = 0.86–0.90) but low for PM10 (R = 0.57). Associations with lung function were similar for air pollutant exposures estimated using LUR and dispersion modeling, except for associations of PM2.5 with FEV1 and FVC, which were stronger but less precise for exposures based on LUR compared with dispersion model.

Conclusions: Predictions from LUR and dispersion models correlated very well for PM2.5, NO2, and PM2.5 soot but not for PM10. Health effect estimates did not depend on the type of model used to estimate exposure in a population of Dutch children.
URL: https://ehp.niehs.nih.gov/1408541
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/12594
Appears in Collections:气候变化事实与影响
气候变化与战略

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作者单位: 1Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; 2TNO, Netherlands Organisation for Applied Scientific Research, Utrecht, the Netherlands; 3Swiss Tropical and Public Health Institute, Basel, Switzerland; 4University of Basel, Basel, Switzerland; 5University of Groningen, Department of Pulmonology, University Medical Center Groningen, Groningen, the Netherlands; 6Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands

Recommended Citation:
Meng Wang,1 Ulrike Gehring,1 Gerard Hoek,et al. Air Pollution and Lung Function in Dutch Children: A Comparison of Exposure Estimates and Associations Based on Land Use Regression and Dispersion Exposure Modeling Approaches[J]. Environmental Health Perspectives,2015-01-01,Volume 123(Issue 8):847
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