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Using high-resolution residential greenspace measures in an urban environment to assess risks of allergy outcomes in children

Authors :
Grace K. LeMasters
Demetrios Gatziolis
Cole Brokamp
Gurjit K. Khurana Hershey
James E. Lockey
Michelle C. Kondo
Glenn Rice
Yvonne L. Michael
Rebecca Gernes
Geoffrey H. Donovan
David I. Bernstein
Patrick Ryan
J. Michael Wright
Source :
Sci Total Environ
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Despite reported health benefits of urban greenspace (gs), the epidemiological evidence is less clear for allergic disease. To address a limitation of previous research, we examined the associations of medium- and high-resolution residential gs measures and tree and/or grass canopies with allergic outcomes for children enrolled in the longitudinal cincinnati childhood allergy and air pollution study (ccaaps). We estimated residential gs based on 400 m radial buffers around participant addresses (n = 478) using the normalized differential vegetation index (ndvi) and land cover-derived urban greenspace (ugs) (tree and grass coverage, combined and separate) at 30 m and 1.5–2.5 m resolution, respectively. Associations between outdoor aeroallergen sensitization and allergic rhinitis at age 7 and residential gs measures at different exposure windows were examined using multivariable logistic regression models. A 10% increase in ugs-derived grass coverage was associated with an increased risk of sensitization to grass pollens (adjusted odds ratio [aor]: 1.27; 95% confidence interval = 1.02–1.58). For each 10% increase in ugs-derived tree canopy coverage, nonstatistically significant decreased odds were found for grass pollen sensitization, tree pollen sensitization, and sensitization to either (aor range = 0.87–0.94). Results similar in magnitude to ugs-tree canopy coverage were detected for ndvi and allergic sensitizations. High-resolution (down to 1.5 m) gs measures of grass- and tree-covered areas showed associations in opposite directions for different allergy outcomes. These data suggest that measures strongly correlated with tree canopy (e.g., ndvi) may be insufficient to detect health effects associated with proximity to different types of vegetation or help elucidate mechanisms related to specific gs exposure pathways.

Details

ISSN :
00489697
Volume :
668
Database :
OpenAIRE
Journal :
Science of The Total Environment
Accession number :
edsair.doi.dedup.....f034f8fca8e15e6553c2350b8991ae0d
Full Text :
https://doi.org/10.1016/j.scitotenv.2019.03.009