The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies

Mizen, Amy, Thompson, Daniel A., Watkins, Alan, Akbari, Ashley, Garrett, Joanne K., Geary, Rebecca, Lovell, Rebecca, Lyons, Ronan A., Nieuwenhuijsen, Mark, Parker, Sarah C., Rowney, Francis M., Song, Jiao, Stratton, Gareth, Wheeler, Benedict W., White, James ORCID: https://orcid.org/0000-0001-8371-8453, White, Mathew P., Williams, Sue, Rodgers, Sarah E. and Fry, Richard 2024. The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies. Journal of Exposure Science and Environmental Epidemiology 10.1038/s41370-024-00650-5

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Background: Exposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging. Objective: Critically evaluate the use of a satellite-derived exposure metric, the Enhanced Vegetation Index (EVI), for assessing access to different types of green space in epidemiological studies. Methods: We used Landsat 5–8 (30 m resolution) to calculate average EVI for a 300 m radius surrounding 1.4 million households in Wales, UK for 2018. We calculated two additional measures using topographic vector data to represent access to green spaces within 300 m of household locations. The two topographic vector-based measures were total green space area stratified by type and average private garden size. We used linear regression models to test whether EVI could discriminate between publicly accessible and private green space and Pearson correlation to test associations between EVI and green space types. Results: Mean EVI for a 300 m radius surrounding households in Wales was 0.28 (IQR = 0.12). Total green space area and average private garden size were significantly positively associated with corresponding EVI measures (β = < 0.0001, 95% CI: 0.0000, 0.0000; β = 0.0001, 95% CI: 0.0001, 0.0001 respectively). In urban areas, as average garden size increases by 1 m2, EVI increases by 0.0002. Therefore, in urban areas, to see a 0.1 unit increase in EVI index score, garden size would need to increase by 500 m2. The very small β values represent no ‘measurable real-world’ associations. When stratified by type, we observed no strong associations between greenspace and EVI.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Medicine Centre for Trials Research (CNTRR)
Publisher:	Springer Nature [academic journals on nature.com]
ISSN:	1559-0631
Funders:	National Institute for Health Research (NIHR)
Date of First Compliant Deposit:	27 March 2024
Date of Acceptance:	24 January 2024
Last Modified:	28 Mar 2024 10:30
URI:	https://orca.cardiff.ac.uk/id/eprint/167566

Actions (repository staff only)

Edit Item