作者: PAIGE E TOLBERT , MITCHEL KLEIN , KRISTIBUSICO METZGER , JENNIFER PEEL , W DANA FLANDERS
关键词: Asthma 、 Emergency department 、 Aerosol 、 Generalized additive model 、 Environmental health 、 Air quality index 、 Air pollution 、 Epidemiology 、 Medical emergency 、 Medicine 、 Generalized estimating equation
摘要: Substantial evidence supports an association of particulate matter (PM) with cardiorespiratory illnesses, but little is known regarding characteristics PM that might contribute to this and the mechanisms action. The Atlanta superstation sponsored by Electric Power Research Institute as part Aerosol Inhalation Epidemiology Study (ARIES) study monitoring chemical composition ambient particles size fraction, well a comprehensive suite other pollutants, at site in downtown during 25-month period, August 1, 1998–August 31, 2000. Our investigative team making use unique resource several morbidity studies, called “Study Particulates Health (SOPHIA)”. includes following components: (1) time series investigation emergency department (ED) visits for period which operating; (2) ED 5 years prior implementation superstation; (3) arrhythmic events patients equipped automatic implantable cardioverter defibrillators (AICDs) January 1993–August Thirty-three 39 area EDs are participating comprising over million annual visits. In paper, we present initial analyses data from 18 33 EDs. preliminary set 1,662,713 pre-superstation 559,480 period. Visits four case groupings — asthma, chronic obstructive pulmonary disease (COPD), dysrhythmia, all cardiovascular diseases (CVDs) combined have been assessed relative daily air quality indices, controlling long-term temporal trends meteorologic variables, using general linear models, generalized estimating equations additive models. Single-pollutant models predicting visitation rates moving averages 0-, 1-, 2-day lagged variables were run. For PM10 (24-h), ozone (8-h), SO2 (1-h), NO2 (1-h) CO studied. first 12 months operation, priori interest available: 24-h measurements PM10, coarse (PM 2.5–10 µm), PM2.5, polar VOCs, 10–100 nm count surface area, PM2.5 fraction: sulfates, acidity, water-soluble metals, organic (OM), elemental carbon (EC). During statistically significant, positive associations observed adult asthma ozone, COPD PM10. observed: dysrhythmia CO, PM, EC; CVDs EC OM. While covariation many indices limits informativeness analysis, provides one assessments components relation