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Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study

We investigated the association of urban landscape profiles with health and environmental outcomes, and whether those profiles are linked to environmental and health co-benefits. In this ecological study, we used data from 208 cities in 8 Latin American countries of the SALud URBana en América Latin...

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Autores principales: Avila-Palencia, Ione, Sánchez, Brisa N., Rodríguez, Daniel A., Perez-Ferrer, Carolina, Miranda, J. Jaime, Gouveia, Nelson, Bilal, Usama, Useche, Andrés F., Wilches-Mogollon, Maria A., Moore, Kari, Sarmiento, Olga L., Diez Roux, Ana V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614319/
https://www.ncbi.nlm.nih.gov/pubmed/36926000
http://dx.doi.org/10.3390/su142214715
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author Avila-Palencia, Ione
Sánchez, Brisa N.
Rodríguez, Daniel A.
Perez-Ferrer, Carolina
Miranda, J. Jaime
Gouveia, Nelson
Bilal, Usama
Useche, Andrés F.
Wilches-Mogollon, Maria A.
Moore, Kari
Sarmiento, Olga L.
Diez Roux, Ana V.
author_facet Avila-Palencia, Ione
Sánchez, Brisa N.
Rodríguez, Daniel A.
Perez-Ferrer, Carolina
Miranda, J. Jaime
Gouveia, Nelson
Bilal, Usama
Useche, Andrés F.
Wilches-Mogollon, Maria A.
Moore, Kari
Sarmiento, Olga L.
Diez Roux, Ana V.
author_sort Avila-Palencia, Ione
collection PubMed
description We investigated the association of urban landscape profiles with health and environmental outcomes, and whether those profiles are linked to environmental and health co-benefits. In this ecological study, we used data from 208 cities in 8 Latin American countries of the SALud URBana en América Latina (SALURBAL) project. Four urban landscape profiles were defined with metrics for the fragmentation, isolation, and shape of patches (contiguous area of urban development). Four environmental measures (lack of greenness, PM(2.5), NO(2), and carbon footprint), two cause-specific mortality rates (non-communicable diseases and unintentional injury mortality), and prevalence of three risk factors (hypertension, diabetes, and obesity) for adults were used as the main outcomes. We used linear regression models to evaluate the association of urban landscape profiles with environmental and health outcomes. In addition, we used finite mixture modeling to create co-benefit classes. Cities with the scattered pixels profile (low fragmentation, high isolation, and compact shaped patches) were most likely to have positive co-benefits. Profiles described as proximate stones (moderate fragmentation, moderate isolation, and irregular shape) and proximate inkblots (moderate-high fragmentation, moderate isolation, and complex shape) were most likely to have negative co-benefits. The contiguous large inkblots profile (low fragmentation, low isolation, and complex shape) was most likely to have mixed benefits.
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spelling pubmed-76143192023-03-15 Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study Avila-Palencia, Ione Sánchez, Brisa N. Rodríguez, Daniel A. Perez-Ferrer, Carolina Miranda, J. Jaime Gouveia, Nelson Bilal, Usama Useche, Andrés F. Wilches-Mogollon, Maria A. Moore, Kari Sarmiento, Olga L. Diez Roux, Ana V. Sustainability Article We investigated the association of urban landscape profiles with health and environmental outcomes, and whether those profiles are linked to environmental and health co-benefits. In this ecological study, we used data from 208 cities in 8 Latin American countries of the SALud URBana en América Latina (SALURBAL) project. Four urban landscape profiles were defined with metrics for the fragmentation, isolation, and shape of patches (contiguous area of urban development). Four environmental measures (lack of greenness, PM(2.5), NO(2), and carbon footprint), two cause-specific mortality rates (non-communicable diseases and unintentional injury mortality), and prevalence of three risk factors (hypertension, diabetes, and obesity) for adults were used as the main outcomes. We used linear regression models to evaluate the association of urban landscape profiles with environmental and health outcomes. In addition, we used finite mixture modeling to create co-benefit classes. Cities with the scattered pixels profile (low fragmentation, high isolation, and compact shaped patches) were most likely to have positive co-benefits. Profiles described as proximate stones (moderate fragmentation, moderate isolation, and irregular shape) and proximate inkblots (moderate-high fragmentation, moderate isolation, and complex shape) were most likely to have negative co-benefits. The contiguous large inkblots profile (low fragmentation, low isolation, and complex shape) was most likely to have mixed benefits. 2022-11-08 /pmc/articles/PMC7614319/ /pubmed/36926000 http://dx.doi.org/10.3390/su142214715 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
spellingShingle Article
Avila-Palencia, Ione
Sánchez, Brisa N.
Rodríguez, Daniel A.
Perez-Ferrer, Carolina
Miranda, J. Jaime
Gouveia, Nelson
Bilal, Usama
Useche, Andrés F.
Wilches-Mogollon, Maria A.
Moore, Kari
Sarmiento, Olga L.
Diez Roux, Ana V.
Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study
title Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study
title_full Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study
title_fullStr Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study
title_full_unstemmed Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study
title_short Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study
title_sort health and environmental co-benefits of city urban form in latin america: an ecological study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614319/
https://www.ncbi.nlm.nih.gov/pubmed/36926000
http://dx.doi.org/10.3390/su142214715
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