| Titre : | Inappropriate use of daily mortality analyses to estimate longer-term mortality effects of air pollution. (1998) |
| Auteurs : | Anthony J. McMichael ; H.R. ANDERSON ; B. BRUNEKREEF ; A.J. COHEN |
| Type de document : | Article |
| Dans : | International journal of epidemiology (vol. 27, n° 3, 1998) |
| Pagination : | 450-453 |
| Langues: | Anglais |
| Mots-clés : | Pollution atmosphérique ; Court terme ; Long terme ; Epidémiologie ; Létalité ; Facteur risque ; Méthodologie ; Homme |
| Résumé : | [BDSP. Notice produite par INIST 4IR0xhcI. Diffusion soumise à autorisation]. Background To avoid the usual problems of multi-population correlation studies of air pollution 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. Since 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. Conclusion 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. (...) |
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