TY - JOUR
T1 - Land cover and air pollution are associated with asthma hospitalisations
T2 - A cross-sectional study
AU - Alcock, Ian
AU - White, Mathew
AU - Cherrie, Mark
AU - Wheeler, Benedict
AU - Taylor, Jonathon
AU - McInnes, Rachel
AU - Otte im Kampe, Eveline
AU - Vardoulakis, Sotiris
AU - Sarran, Christophe
AU - Soyiri, Ireneous
AU - Fleming, Lora
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Air pollutants
KW - Allergy
KW - Ecosystem management
KW - Green space
KW - Pollen
KW - Urban land use
UR - http://www.scopus.com/inward/record.url?scp=85029543663&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2017.08.009
DO - 10.1016/j.envint.2017.08.009
M3 - Article
C2 - 28926750
AN - SCOPUS:85029543663
SN - 0160-4120
VL - 109
SP - 29
EP - 41
JO - Environment International
JF - Environment International
ER -