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Titolo:
Estimating particulate matter-mortality dose-response curves and thresholdlevels: An analysis of daily time-series for the 20 largest US cities
Autore:
Daniels, MJ; Dominici, F; Samet, JM; Zeger, SL;
Indirizzi:
Johns Hopkins Univ, Sch Hyg & Publ Hlth, Dept Biostat, Baltimore, MD 21205USA Johns Hopkins Univ Baltimore MD USA 21205 Biostat, Baltimore, MD 21205USA Iowa State Univ, Dept Stat, Ames, IA USA Iowa State Univ Ames IA USAIowa State Univ, Dept Stat, Ames, IA USA Johns Hopkins Univ, Sch Hyg & Publ Hlth, Dept Epidemiol, Baltimore, MD USAJohns Hopkins Univ Baltimore MD USA h, Dept Epidemiol, Baltimore, MD USA
Titolo Testata:
AMERICAN JOURNAL OF EPIDEMIOLOGY
fascicolo: 5, volume: 152, anno: 2000,
pagine: 397 - 406
SICI:
0002-9262(20000901)152:5<397:EPMDCA>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Soggetto:
AIR-POLLUTION; PHILADELPHIA;
Keywords:
air pollution; models; statistical; mortality;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
30
Recensione:
Indirizzi per estratti:
Indirizzo: Dominici, F Johns Hopkins Univ, Sch Hyg & Publ Hlth, Dept Biostat, 615 N Wolfe St, Baltimore, MD 21205 USA Johns Hopkins Univ 615 N Wolfe St Baltimore MD USA 21205 5 USA
Citazione:
M.J. Daniels et al., "Estimating particulate matter-mortality dose-response curves and thresholdlevels: An analysis of daily time-series for the 20 largest US cities", AM J EPIDEM, 152(5), 2000, pp. 397-406

Abstract

Numerous studies have shown a positive association between daily mortalityand particulate air pollution, even at concentrations below regulatory limits. These findings have motivated interest in the shape of the exposure-response relation. The authors have developed flexible modeling strategies for time-series data that include spline and threshold exposure-response models; they apply these models to daily time-series data for the 20 largest UScities for 1987-1994, using the concentration of particulate matter <10 mum in aerodynamic diameter (PM10) as the exposure measure. The spline modelshowed a linear relation without indication of threshold for PM10 and relative risk of death for all causes and cardiorespiratory causes; by contrast, for other causes, the risk did not increase until approximately 50 mu g/m(3) PM10. For all-cause mortality, a linear model without threshold was preferred to the threshold model and to the spline model, using the Akaike information criterion (AIC). The findings were similar for cardiovascular and respiratory deaths combined. By contrast, for causes other than cardiovascular and respiratory, a threshold model was more competitive with a threshold value estimated at 65 mu g/m(3). These findings indicate that linear models without a threshold are appropriate for assessing the effect of particulate air pollution on daily mortality even at current levels.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 14/07/20 alle ore 12:56:49