[Meta-analysis and dose-response functions of air pollution respiratory effects]

Rev Epidemiol Sante Publique. 1997 Sep;45(4):293-304.
[Article in French]

Abstract

A Meta-analysis was conducted on 107 original epidemiological papers published between 1980 and 1993 on the respiratory health impact of suspended particles, sulfur dioxide, ozone and nitrogen dioxide. These are the usual air quality indicators that are monitored in urban ambient air. The range of exposures that were studied (averages and 90th percentiles are respectively up to 88, 83, 124 and 53 mu/m3 (averages) and 180, 147, 234 and 131 micrograms/m3 (90th percentile) for each of the four pollution indicators) allowed assessment of dose-response functions for irritative pulmonary conditions (cough and/or asthma episodes) and respiratory function (FEVI and peak expiratory flow). The dose-response functions seem linear in the range of observed concentrations, with nitrogen dioxide showing the least consistent association across different health indicators. When applied to exposures measured as a 100 micrograms/m3 increase of pollutant's concentrations compared to low background values, the average relative risks of airway irritation (cough and/or asthma épisodes) range, according to the pollutant, from 1.08 to 1.47; average relative decreases of respiratory function amount to 1.1 to 2.2%. The effects are most often stronger among young subjects. The results of this study, when applied to air pollution concentrations in the range of values that were observed in this study, should foster health risk assessment studies in places where population air pollution exposures are available.

Publication types

  • English Abstract
  • Meta-Analysis

MeSH terms

  • Adult
  • Air Pollutants / adverse effects*
  • Air Pollutants / analysis*
  • Asthma / epidemiology*
  • Asthma / etiology*
  • Child
  • Cough / epidemiology*
  • Cough / etiology*
  • Environmental Monitoring*
  • Epidemiological Monitoring
  • Female
  • Forced Expiratory Volume
  • Humans
  • Linear Models
  • Male
  • Peak Expiratory Flow Rate
  • Risk
  • Risk Assessment
  • Weather

Substances

  • Air Pollutants