Literature DB >> 10160208

Particulate air pollution and daily mortality: who is at risk?

M S Goldberg1.   

Abstract

Major episodes of air pollution, such as the London fog incident in 1952, have shown conclusively that relatively high levels of particulate air pollution can lead to serious adverse health effects, including death. Recent data suggest that exposure to respirable particulates [with an aerodynamic diameter < or = 10 microns (PM10)] under the current American standard (150 micrograms/m3 for 24 h) is associated with increased daily mortality. These results have sparked an intense debate regarding the veracity of the reported associations and whether they should be interpreted causally. Most investigators have relied on a time-series approach to investigate the short-term effects of air pollution on daily mortality. Concerns have been expressed that the results may vary with the type of statistical methods used and the potential for uncontrolled and residual confounding effects. Of perhaps greater importance is that cause-specific mortality, temporal aspects of the exposure-disease relationship, and subgroups of the population have not been studied adequately. Under the hypothesis that only persons with impaired physiologic systems should be at risk, the identification of susceptible subgroups is of great importance in discerning causal mechanisms and in setting public health policies. In this paper, the main methodologic issues are discussed and a novel design to identify at-risk subgroups is presented.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 10160208     DOI: 10.1089/jam.1996.9.43

Source DB:  PubMed          Journal:  J Aerosol Med        ISSN: 0894-2684


  2 in total

1.  Identification of persons with cardiorespiratory conditions who are at risk of dying from the acute effects of ambient air particles.

Authors:  M S Goldberg; R T Burnett; J C Bailar; R Tamblyn; P Ernst; K Flegel; J Brook; Y Bonvalot; R Singh; M F Valois; R Vincent
Journal:  Environ Health Perspect       Date:  2001-08       Impact factor: 9.031

2.  Stochastic and Self-Organisation Patterns in a 17-Year PM10 Time Series in Athens, Greece.

Authors:  Dimitrios Nikolopoulos; Aftab Alam; Ermioni Petraki; Michail Papoutsidakis; Panayiotis Yannakopoulos; Konstantinos P Moustris
Journal:  Entropy (Basel)       Date:  2021-03-05       Impact factor: 2.524

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.