Raf Aerts1, Sebastien Dujardin2, Benoit Nemery3, An Van Nieuwenhuyse4, Jos Van Orshoven5, Jean-Marie Aerts6, Ben Somers5, Marijke Hendrickx7, Nicolas Bruffaerts7, Mariska Bauwelinck8, Lidia Casas9, Claire Demoury10, Michelle Plusquin11, Tim S Nawrot12. 1. Risk and Health Impact Assessment, Sciensano (Belgian Institute of Health), Juliette Wytsmanstraat 14, BE-1050, Brussels, Belgium; Division Ecology, Evolution and Biodiversity Conservation, University of Leuven (KU Leuven), Kasteelpark Arenberg 31-2435, BE-3001, Leuven, Belgium; Division Forest, Nature and Landscape, University of Leuven (KU Leuven), Celestijnenlaan 200E-2411, BE-3001, Leuven, Belgium; Center for Environmental Sciences, University of Hasselt, Agoralaan D, BE-3590, Diepenbeek, Hasselt, Belgium; Mycology and Aerobiology, Sciensano (Belgian Institute of Health), Juliette Wytsmanstraat 14, BE-1050, Brussels, Belgium. Electronic address: raf.aerts@sciensano.be. 2. Division Forest, Nature and Landscape, University of Leuven (KU Leuven), Celestijnenlaan 200E-2411, BE-3001, Leuven, Belgium; Department of Geography, Institute of Life Earth and Environment (ILEE), University of Namur, Namur, Belgium. 3. Center for Environment and Health, Department of Public Health and Primary Care, University of Leuven, Herestraat 49-706, BE-3000, Leuven, Belgium. 4. Risk and Health Impact Assessment, Sciensano (Belgian Institute of Health), Juliette Wytsmanstraat 14, BE-1050, Brussels, Belgium; Center for Environment and Health, Department of Public Health and Primary Care, University of Leuven, Herestraat 49-706, BE-3000, Leuven, Belgium. 5. Division Forest, Nature and Landscape, University of Leuven (KU Leuven), Celestijnenlaan 200E-2411, BE-3001, Leuven, Belgium. 6. Division Animal and Human Health Engineering, University of Leuven (KU Leuven), Leuven, Belgium. 7. Mycology and Aerobiology, Sciensano (Belgian Institute of Health), Juliette Wytsmanstraat 14, BE-1050, Brussels, Belgium. 8. Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 5, BE-1050, Brussels, Belgium. 9. Center for Environment and Health, Department of Public Health and Primary Care, University of Leuven, Herestraat 49-706, BE-3000, Leuven, Belgium; Epidemiology and Social Medicine, University of Antwerp, Universiteitsplein 1-R.232, BE-2610, Wilrijk, Antwerp, Belgium. 10. Risk and Health Impact Assessment, Sciensano (Belgian Institute of Health), Juliette Wytsmanstraat 14, BE-1050, Brussels, Belgium. 11. Center for Environmental Sciences, University of Hasselt, Agoralaan D, BE-3590, Diepenbeek, Hasselt, Belgium. 12. Center for Environmental Sciences, University of Hasselt, Agoralaan D, BE-3590, Diepenbeek, Hasselt, Belgium; Center for Environment and Health, Department of Public Health and Primary Care, University of Leuven, Herestraat 49-706, BE-3000, Leuven, Belgium.
Abstract
BACKGROUND: Living in green environments has been associated with various health benefits, but the evidence for positive effects on respiratory health in children is ambiguous. OBJECTIVE: To investigate if residential exposure to different types of green space is associated with childhood asthma prevalence in Belgium. METHODS: Asthma prevalence was estimated from sales data of reimbursed medication for obstructive airway disease (OAD) prescribed to children between 2010 and 2014, aggregated at census tract level (n = 1872) by sex and age group (6-12 and 13-18 years). Generalized log-linear mixed effects models with repeated measures were used to estimate effects of relative covers of forest, grassland and garden in the census tract of the residence on OAD medication sales. Models were adjusted for air pollution (PM10), housing quality and administrative region. RESULTS: Consistent associations between OAD medication sales and relative covers of grassland and garden were observed (unadjusted parameter estimates per IQR increase of relative cover, range across four strata: grassland, β = 0.15-0.17; garden, β = 0.13-0.17). The associations remained significant after adjusting for housing quality and chronic air pollution (adjusted parameter estimates per IQR increase of relative cover, range across four strata: grassland, β = 0.10-0.14; garden, β = 0.07-0.09). There was no association between OAD medication sales and forest cover. CONCLUSIONS: Based on aggregated data, we found that living in close proximity to areas with high grass cover (grasslands, but also residential gardens) may negatively impact child respiratory health. Potential allergic and non-allergic mechanisms that underlie this association include elevated exposure to grass pollen and fungi and reduced exposure to environmental biodiversity. Reducing the dominance of grass in public and private green space might be beneficial to reduce the childhood asthma burden and may simultaneously improve the ecological value of urban green space.
BACKGROUND: Living in green environments has been associated with various health benefits, but the evidence for positive effects on respiratory health in children is ambiguous. OBJECTIVE: To investigate if residential exposure to different types of green space is associated with childhood asthma prevalence in Belgium. METHODS:Asthma prevalence was estimated from sales data of reimbursed medication for obstructive airway disease (OAD) prescribed to children between 2010 and 2014, aggregated at census tract level (n = 1872) by sex and age group (6-12 and 13-18 years). Generalized log-linear mixed effects models with repeated measures were used to estimate effects of relative covers of forest, grassland and garden in the census tract of the residence on OAD medication sales. Models were adjusted for air pollution (PM10), housing quality and administrative region. RESULTS: Consistent associations between OAD medication sales and relative covers of grassland and garden were observed (unadjusted parameter estimates per IQR increase of relative cover, range across four strata: grassland, β = 0.15-0.17; garden, β = 0.13-0.17). The associations remained significant after adjusting for housing quality and chronic air pollution (adjusted parameter estimates per IQR increase of relative cover, range across four strata: grassland, β = 0.10-0.14; garden, β = 0.07-0.09). There was no association between OAD medication sales and forest cover. CONCLUSIONS: Based on aggregated data, we found that living in close proximity to areas with high grass cover (grasslands, but also residential gardens) may negatively impact child respiratory health. Potential allergic and non-allergic mechanisms that underlie this association include elevated exposure to grass pollen and fungi and reduced exposure to environmental biodiversity. Reducing the dominance of grass in public and private green space might be beneficial to reduce the childhood asthma burden and may simultaneously improve the ecological value of urban green space.
Authors: Giovanna Cilluffo; Giuliana Ferrante; Salvatore Fasola; Velia Malizia; Laura Montalbano; Andrea Ranzi; Chiara Badaloni; Giovanni Viegi; Stefania La Grutta Journal: Int J Environ Res Public Health Date: 2022-01-04 Impact factor: 3.390