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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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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. |
format | Online Article Text |
id | pubmed-7614319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
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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