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Air pollution and cause-specific mortality in Milan, Italy, 1980-1989
G Rossi1, M A Vigotti, A Zanobetti
1Istituto d Fisiologia Clinica, Consiglio Nazionale delle Ricerche, Pisa, Italy.
Archives of Environmental Health
|August 12, 1999
Summary
Air pollution and extreme weather are linked to increased daily deaths. The study found specific lag times between exposure and cause-specific mortality, highlighting the importance of analyzing deaths by specific causes.
Area of Science:
- Environmental Health Sciences
- Epidemiology
- Public Health
Background:
- Studies have shown links between air pollution, weather, and daily mortality.
- Understanding the mechanisms requires examining lag times between exposure and cause-specific deaths.
Purpose of the Study:
- To investigate the differential lag times between exposure to total suspended particulates (TSPs) or extreme weather and cause-specific mortality.
- To explore potential underlying mechanisms linking environmental factors to mortality.
Main Methods:
- Utilized robust Poisson regression within a generalized additive model to assess air pollution and daily mortality.
- Employed loess smooth functions for seasonality, weather, and humidity, with indicator variables for hot days.
- Excluded days with TSP concentrations > 200 µg/m³ to focus on a meaningful range.
Main Results:
- Significant associations found for respiratory infection deaths (11% increase per 100 µg/m³ TSP) and heart failure deaths (7% increase) on the concurrent day.
- Associations for myocardial infarction (10% increase) and COPD (12% increase) occurred at lags of 3 and 4 days, respectively.
- Cold weather affected respiratory infections at lag 1; hot weather affected heart failure and myocardial infarctions at lag 0.
Conclusions:
- Lag times between environmental exposures and mortality vary significantly by cause of death.
- Cause-specific analyses are crucial for understanding the complex relationship between air pollution, weather, and mortality.
- Findings suggest a steeper slope for TSP effects at lower concentrations, potentially explaining study discrepancies.