Short-term effects of air pollution on daily mortality in eight western and five central-eastern European countries have been reported previously, as part of the APHEA project. One intriguing finding was that the effects were lower in central-eastern European cities. The analysis used sinusoidal terms for seasonal control and polynomial terms for meteorologic variables, but chi is a more rigid approach than the currently accepted method, which uses generalized additive models (GAM). We therefore reanalyzed the original data to examine the sensitivity of the results to the statistical model. The data were identical to those used in the earlier analyses. The outcome was the daily total number of deaths, and the pollutants analyzed were black smoke (BS) and sulfur dioxide (SO2). The analyses were restricted to days with pollutant concentration < 200 <mu>g/m(3) and < 150 <mu>g/m(3) alternately. We used Poisson regression in a GAM model, and combined individual city regression coefficients using fixed and random-effect models. An increase in BS by 50 mug/m(3) was associated with a 2.2% and 3.1% increase in mortality when analysis was restricted to days < 200 <mu>g/m(3) and < 150 <mu>g/m(3), respectively. The corresponding figures were 5.0% and 5.6% for a similar increase in SO2. These estimates are larger than the ones published previously: by 69% for BS and 55% for SO2. The increase occurred only in central-eastern European cities. The ratio of western to central-eastern cities for estimates was reduced to 1.3 for BS (previously 4.8) and 2.6 for SO2 (previously 4.4). We conclude that part of the heterogeneity in the estimates of air pollution effects between western and central-eastern cities reported in previous publications was caused by the statistical approach used and the inclusion of days with pollutant levels above 150 mug/m(3). However, these results must be investigated further.

Investigating regional differences in short-term effects of air pollution on daily mortality in the APHEA project: A sensitivity analysis for controlling long-term trends and seasonality

Rossi G;
2001

Abstract

Short-term effects of air pollution on daily mortality in eight western and five central-eastern European countries have been reported previously, as part of the APHEA project. One intriguing finding was that the effects were lower in central-eastern European cities. The analysis used sinusoidal terms for seasonal control and polynomial terms for meteorologic variables, but chi is a more rigid approach than the currently accepted method, which uses generalized additive models (GAM). We therefore reanalyzed the original data to examine the sensitivity of the results to the statistical model. The data were identical to those used in the earlier analyses. The outcome was the daily total number of deaths, and the pollutants analyzed were black smoke (BS) and sulfur dioxide (SO2). The analyses were restricted to days with pollutant concentration < 200 g/m(3) and < 150 g/m(3) alternately. We used Poisson regression in a GAM model, and combined individual city regression coefficients using fixed and random-effect models. An increase in BS by 50 mug/m(3) was associated with a 2.2% and 3.1% increase in mortality when analysis was restricted to days < 200 g/m(3) and < 150 g/m(3), respectively. The corresponding figures were 5.0% and 5.6% for a similar increase in SO2. These estimates are larger than the ones published previously: by 69% for BS and 55% for SO2. The increase occurred only in central-eastern European cities. The ratio of western to central-eastern cities for estimates was reduced to 1.3 for BS (previously 4.8) and 2.6 for SO2 (previously 4.4). We conclude that part of the heterogeneity in the estimates of air pollution effects between western and central-eastern cities reported in previous publications was caused by the statistical approach used and the inclusion of days with pollutant levels above 150 mug/m(3). However, these results must be investigated further.
2001
Istituto di Fisiologia Clinica - IFC
air pollution
black smoke
generalized additive models
mortality
Poisson regression
sensitivity analysis
sulfur dioxide
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/287625
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