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© 1998 Oxford University Press

research-article

Inappropriate use of daily mortality analyses to estimate longer-term mortality effects of air pollution

Anthony J McMichaela, H Ross Andersonb, Bert Brunekreec and Aaron J Cohend

aDepartment of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine Keppel Street, London WCIE 7HT. UK
bDepartment of Public Health Science, St George's Hospital Medical School Cranmer Terrace, London SW17 ORE, UX
cDepartment of Epidemiology and Public Health, University of Wagenrngen Po Box 238, 6700 AB Wageningen, The Netherlands
dHealth Effects Institute 955 Massachusetts Avenue, Boston, MA 02139. USA

BACKGROUND: To avoid the usual problems of multi-population correlation studies of air poilution and mortality, and for reasons of convenience, daily time-series mortality studies within single populations have recently become popular in air pollution epidemiology. Such studies describe how the short-term distribution of deaths relates to short-term fluctuations in air pollution levels. The regression-based risk coefficients from these acute-effects studies have been widely used to estimate the excess annual mortality within a population with a specified average level of air pollution. Such calculations are inappropriate. Smce daily time-series data provide no simple direct information about the degree of life-shortening associated with the excess daily deaths (many of which are thought to be due to exacerbation of well-advanced disease, especially cardiovascular disease), such data cannot contribute to the estimation of the effects of air pollution upon chronic disease incidence and long-term death rates. Yet it is that category of effect that is of most public health importance.

CONCLUSIONS: Such effects are best estimated from long-term cohort studies that incorporate good knowledge of local (or personal) exposure to air pollutants and of potential confounders. Time-series studies, properly evaluated, can identify the existence of acute toxic effects of transient peak levels of air pollution; they are thus useful for monitoring acute toxicity and for identifying the most noxious pollutants. However, to quantify the long-term health impacts of air pollution we cannot use acute-effects data.

Keywords Air pollution, mortality, study design, time-series data, acute effects, chronic effects

Accepted 16 September 1997


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