1. Residential Exposure to Urban Trees and Medication Sales for Mood Disorders and Cardiovascular Disease in Brussels, Belgium
- Author
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Dengkai Chi, Raf Aerts, An Van Nieuwenhuyse, Mariska Bauwelinck, Claire Demoury, Michelle Plusquin, Tim S. Nawrot, Lidia Casas, Ben Somers, Interface Demography, Faculty of Economic and Social Sciences and Solvay Business School, Chi, DK, AERTS, Raf, Van Nieuwenhuyse, A, Bauwelinck, M, Demoury, C, PLUSQUIN, Michelle, NAWROT, Tim, Casas, L, and Somers, B
- Subjects
Adult ,Male ,LiDAR ,Mood Disorders ,Pharmacology. Therapy ,Health, Toxicology and Mutagenesis ,medication sales ,Commerce ,Public Health, Environmental and Occupational Health ,urban trees ,Middle Aged ,mood disorders ,Trees ,Chemistry ,Young Adult ,Belgium ,cardiovascular disease ,Cardiovascular Diseases ,green space ,LPI ,Humans ,Female ,Biology - Abstract
BACKGROUND: The available evidence for positive associations between urban trees and human health is mixed, partly because the assessment of exposure to trees is often imprecise because of, for instance, exclusion of trees in private areas and the lack of three-dimensional (3D) exposure indicators (e.g., crown volume). OBJECTIVES: We aimed to quantify all trees and relevant 3D structural traits in Brussels (Belgium) and to investigate associations between the number of trees, tree traits, and sales of medication commonly prescribed for mood disorders and cardiovascular disease. METHODS: We developed a workflow to automatically isolate all individual trees from airborne light detection and ranging (LiDAR) data collected in 2012. Trait data were subsequently extracted for 309,757 trees in 604 census tracts. We used the average annual age-standardized rate of medication sales in Brussels for the period 2006 to 2014, calculated from reimbursement information on medication prescribed to adults (19-64 years of age). The medication sales data were provided by sex at the census tract level. Generalized log-linear models were used to investigate associations between the number of trees, the crown volume, tree structural variation, and medication sales. Models were run separately for mood disorder and cardiovascular medication and for men and women. All models were adjusted for indicators of area-level socioeconomic status. RESULTS: Single-factor models showed that higher stem densities and higher crown volumes are both associated with lower medication sales, but opposing associations emerged in multifactor models. Higher crown volume [an increase by one formula presented ] was associated with 34% lower mood disorder medication sales [women, formula presented (95% CI: formula presented ); men, formula presented (95% CI: formula presented )] and with 21-25% lower cardiovascular medication sales [women, formula presented (95% CI: formula presented ); men, formula presented (95% CI: formula presented )]. Conversely, a higher stem density (an increase by one formula presented ) was associated with 28-32% higher mood disorder medication sales [women, formula presented (95% CI: 0.284, 0.361); men, formula presented (95% CI: 0.243, 0.319)] and with 20-24% higher cardiovascular medication sales [women, formula presented (95% CI: 0.169, 0.236); men, formula presented (95% CI: 0.206, 0.273)]. DISCUSSION: We found a trade-off between the number of trees and the crown volumes of those trees for human health benefits in an urban environment. Our results demonstrate that conserving large trees in urban environments may not only support conservation of biodiversity but also human health. https://doi.org/10.1289/EHP9924.
- Published
- 2022