Emergency Admissions for Cardiovascular and Respiratory Diseases and the Chemical Composition of Fine Particle Air Pollution

被引:481
作者
Peng, Roger D. [1 ]
Bell, Michelle L. [2 ]
Geyh, Alison S. [3 ]
McDermott, Aidan [1 ]
Zeger, Scott L. [1 ]
Samet, Jonathan M. [4 ]
Dominici, Francesca [1 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA
[2] Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Environm Hlth Sci, Baltimore, MD 21205 USA
[4] Univ So Calif, Dept Prevent Med, Los Angeles, CA 90089 USA
关键词
cardiovascular disease; chemical components; hospital admission; particulate matter; PM2.5; respiratory disease; Speciation Trends Network; PARTICULATE MATTER; HOSPITAL ADMISSIONS; DAILY MORTALITY; HEALTH; ASSOCIATIONS; COMPONENTS; NICKEL; PANEL;
D O I
10.1289/ehp.0800185
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BACKGROUND: Population-based studies have estimated health risks of short-term exposure to fine particles using mass of PM2.5 (particulate matter <= 2.5 mu m in aerodynamic diameter) as the indicator. Evidence regarding the toxicity of the chemical components of the PM2.5 mixture is limited. OBJECTIVE: In this study we investigated the association between hospital admission for cardiovascular disease (CVD) and respiratory disease and the chemical components of PM2.5 in the United States. METHODS: We used a national database comprising daily data for 2000-2006 on emergency hospital admissions for cardiovascular and respiratory outcomes, ambient levels of major PM2.5 chemical components [sulfate, nitrate, silicon, elemental carbon (EC), organic carbon matter (OCM), and sodium and ammonium ions], and weather. Using Bayesian hierarchical statistical models, we estimated the associations between daily levels of PM2.5 components and risk of hospital admissions in 119 U.S. urban communities for 12 million Medicare enrollees (>= 65 years of age). RESULTS: In multiple-pollutant models that adjust for the levels of other pollutants, an interquartile range (IQR) increase in EC was associated with a 0.80% [95% posterior interval (PI), 0.34-1.27%] increase in risk of same-day cardiovascular admissions, and an IQR increase in OCM was associated with a 1.01% (95% PI, 0.04-1.98%) increase in risk of respiratory admissions on the same day. Other components were not associated with cardiovascular or respiratory hospital admissions in multiple-pollutant models. CONCLUSIONS: Ambient levels of EC and OCM, which are generated primarily from vehicle emissions, diesel, and wood burning, were associated with the largest risks of emergency hospitalization across the major chemical constituents Of PM2.5.
引用
收藏
页码:957 / 963
页数:7
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