Land cover and air pollution are associated with asthma hospitalisations: A cross-sectional study

Environ Int. 2017 Dec;109:29-41. doi: 10.1016/j.envint.2017.08.009. Epub 2017 Sep 27.

Abstract

Background: There is increasing policy interest in the potential for vegetation in urban areas to mitigate harmful effects of air pollution on respiratory health. We aimed to quantify relationships between tree and green space density and asthma-related hospitalisations, and explore how these varied with exposure to background air pollution concentrations.

Methods: Population standardised asthma hospitalisation rates (1997-2012) for 26,455 urban residential areas of England were merged with area-level data on vegetation and background air pollutant concentrations. We fitted negative binomial regression models using maximum likelihood estimation to obtain estimates of asthma-vegetation relationships at different levels of pollutant exposure.

Results: Green space and gardens were associated with reductions in asthma hospitalisation when pollutant exposures were lower but had no significant association when pollutant exposures were higher. In contrast, tree density was associated with reduced asthma hospitalisation when pollutant exposures were higher but had no significant association when pollutant exposures were lower.

Conclusions: We found differential effects of natural environments at high and low background pollutant concentrations. These findings can provide evidence for urban planning decisions which aim to leverage health co-benefits from environmental improvements.

Keywords: Air pollutants; Allergy; Ecosystem management; Green space; Pollen; Urban land use.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Air Pollutants / analysis*
  • Air Pollution / adverse effects*
  • Asthma / epidemiology*
  • Asthma / etiology
  • Cross-Sectional Studies
  • England / epidemiology
  • Hospitalization / statistics & numerical data*
  • Humans
  • Likelihood Functions
  • Male
  • Middle Aged
  • Models, Statistical
  • Time Factors
  • Trees*
  • Young Adult

Substances

  • Air Pollutants