Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence

被引：55

作者：

Anderson, H. Ross ^{[1
,2
]}

Butland, Barbara K.

van Donkelaar, Aaron ^{[4
]}

Brauer, Michael ^{[3
]}

Strachan, David P.

Clayton, Tadd ^{[5
]}

van Dingenen, Rita ^{[6
]}

Amann, Marcus ^{[7
]}

Brunekreef, Bert ^{[8
,9
]}

Cohen, Aaron ^{[10
]}

Dentener, Frank ^{[6
]}

Lai, Christopher ^{[11
]}

Lamsal, Lok N. ^{[4
,12
,13
]}

Martin, Randall V. ^{[4
,14
]}

机构：

[1] Univ London, Div Populat Hlth Sci & Educ, MRC HPA Ctr Environm & Hlth, London SW17 0RE, England

[2] Kings Coll London, MRC HPA Ctr Environm & Hlth, London, England

[3] Univ British Columbia, Vancouver, BC V5Z 1M9, Canada

[4] Dalhousie Univ, Halifax, NS, Canada

[5] Univ Auckland, Auckland 1, New Zealand

[6] Commiss European Communities, Joint Res Ctr, I-21020 Ispra, Italy

[7] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria

[8] Inst Risk Assessment Sci, Utrecht, Netherlands

[9] Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands

[10] Hlth Effects Inst, Boston, MA USA

[11] Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China

[12] Univ Space Res Assoc, Goddard Earth Sci Technol & Res, Columbia, MD USA

[13] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[14] Harvard Smithsonian Ctr Astrophys, Cambridge, MA 02138 USA

来源：

ENVIRONMENTAL HEALTH PERSPECTIVES | 2012年 / 120卷 / 09期

关键词：

air pollution; asthma prevalence; children; epidemiology; global; nitrogen dioxide; ozone; particulate matter; satellite observations; PARTICULATE POLLUTION; MODEL TM5; ALLERGIES; AEROSOL; MORTALITY; SYMPTOMS; EXPOSURE;

D O I：

10.1289/ehp.1104724

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

BACKGROUND: The effect of ambient air pollution on global variations and trends in asthma prevalence is unclear. OBJECTIVES: Our goal was to investigate community-level associations between asthma prevalence data from the International Study of Asthma and Allergies in Childhood (ISAAC) and satellite-based estimates of particulate matter with aerodynamic diameter < 2.5 mu m (PM2.5) and nitrogen dioxide (NO2), and modelled estimates of ozone. METHODS: We assigned satellite-based estimates of PM2.5 and NO2 at a spatial resolution of 0.1 degrees x 0.1 degrees and modeled estimates of ozone at a resolution of 1 degrees x 1 degrees to 183 ISAAC centers. We used center-level prevalence of severe asthma as the outcome and multilevel models to adjust for gross national income (GM) and center- and country-level sex, climate, and population density. We examined associations (adjusting for GNI) between air pollution and asthma prevalence over time in centers with data from ISAAC Phase One (mid-1900s) and Phase Three (2001-2003). RESULTS: For the 13- to 14-year age group (128 centers in 28 countries), the estimated average within-country change in center-level asthma prevalence per 100 children per 10% increase in center-level PM2.5 and NO2 was -0.043 [95% confidence interval (Cl): 0.139, 0.053] and 0.017 (95% Cl: 0.030, 0.064) respectively. For ozone the estimated change in prevalence per parts per billion by volume was -0.116 (95% Cl: -0.234, 0.001). Equivalent results for the 6- to 7-year age group (83 centers in 20 countries), though slightly different, were not significantly positive. For the 13- to 14-year age group, change in center-level asthma prevalence over time per 100 children per 10% increase in PM2.5 from Phase One to Phase Three was -0.139 (95% Cl: -0.347, 0.068). The corresponding association with ozone (per ppbV) was -0.171(95% Cl: -0.275, -0.067). CONCLUSION: In contrast to reports from within-community studies of individuals exposed to traffic pollution, we did not find evidence of a positive association between ambient air pollution and asthma prevalence as measured at the community level.

引用

页码：1333 / 1339

页数：7

共 38 条

[21] Exposure to particulate air pollution at different living locations and respiratory symptoms in Hong Kong-an application of satellite information [J].