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Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities

BACKGROUND: Features of the urban physical environment may be linked to the development of high blood pressure, a leading risk factor for global burden of disease. OBJECTIVES: We examined associations of urban physical environment features with hypertension and blood pressure measures in adults acro...

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Autores principales: Avila-Palencia, Ione, Rodríguez, Daniel A., Miranda, J. Jaime, Moore, Kari, Gouveia, Nelson, Moran, Mika R., Caiaffa, Waleska T., Diez Roux, Ana V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846315/
https://www.ncbi.nlm.nih.gov/pubmed/35167325
http://dx.doi.org/10.1289/EHP7870
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author Avila-Palencia, Ione
Rodríguez, Daniel A.
Miranda, J. Jaime
Moore, Kari
Gouveia, Nelson
Moran, Mika R.
Caiaffa, Waleska T.
Diez Roux, Ana V.
author_facet Avila-Palencia, Ione
Rodríguez, Daniel A.
Miranda, J. Jaime
Moore, Kari
Gouveia, Nelson
Moran, Mika R.
Caiaffa, Waleska T.
Diez Roux, Ana V.
author_sort Avila-Palencia, Ione
collection PubMed
description BACKGROUND: Features of the urban physical environment may be linked to the development of high blood pressure, a leading risk factor for global burden of disease. OBJECTIVES: We examined associations of urban physical environment features with hypertension and blood pressure measures in adults across 230 Latin American cities. METHODS: In this cross-sectional study we used health, social, and built environment data from the SALud URBana en América Latina (SALURBAL) project. The individual-level outcomes were hypertension and levels of systolic and diastolic blood pressure. The exposures were city and subcity built environment features, mass transit infrastructure, and green space. Odds ratios (ORs) and mean differences and 95% confidence intervals (CIs) were estimated using multilevel logistic and linear regression models, with single- and multiple-exposure models adjusted for individual-level age, sex, education, and subcity educational attainment. RESULTS: A total of 109,176 participants from 230 cities and eight countries were included in the hypertension analyses and 50,228 participants from 194 cities and seven countries were included in the blood pressure measures analyses. Participants were 18–97 years of age. In multiple-exposure models, higher city fragmentation was associated with higher odds of having hypertension ([Formula: see text]; 95% CI: 1.01, 1.21); presence (vs. no presence) of mass transit in the city was associated with higher odds of having hypertension ([Formula: see text]; 95% CI: 1.09, 1.54); higher subcity population density was associated with lower odds of having hypertension ([Formula: see text]; 95% CI: 0.85, 0.94); and higher subcity intersection density was associated with higher odds of having hypertension [[Formula: see text]; 95% CI: 1.04, 1.15). The presence of mass transit was also associated with slightly higher systolic and diastolic blood pressure in multiple-exposure models adjusted for treatment. Except for the association between intersection density and hypertension, associations were attenuated after adjustment for country. An inverse association of greenness with continuous blood pressure emerged after country adjustment. DISCUSSION: Our results suggest that urban physical environment features—such as fragmentation, mass transit, population density, and intersection density—may be related to hypertension in Latin American cities. Reducing chronic disease risks in the growing urban areas of Latin America may require attention to integrated management of urban design and transport planning. https://doi.org/10.1289/EHP7870
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spelling pubmed-88463152022-02-22 Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities Avila-Palencia, Ione Rodríguez, Daniel A. Miranda, J. Jaime Moore, Kari Gouveia, Nelson Moran, Mika R. Caiaffa, Waleska T. Diez Roux, Ana V. Environ Health Perspect Research BACKGROUND: Features of the urban physical environment may be linked to the development of high blood pressure, a leading risk factor for global burden of disease. OBJECTIVES: We examined associations of urban physical environment features with hypertension and blood pressure measures in adults across 230 Latin American cities. METHODS: In this cross-sectional study we used health, social, and built environment data from the SALud URBana en América Latina (SALURBAL) project. The individual-level outcomes were hypertension and levels of systolic and diastolic blood pressure. The exposures were city and subcity built environment features, mass transit infrastructure, and green space. Odds ratios (ORs) and mean differences and 95% confidence intervals (CIs) were estimated using multilevel logistic and linear regression models, with single- and multiple-exposure models adjusted for individual-level age, sex, education, and subcity educational attainment. RESULTS: A total of 109,176 participants from 230 cities and eight countries were included in the hypertension analyses and 50,228 participants from 194 cities and seven countries were included in the blood pressure measures analyses. Participants were 18–97 years of age. In multiple-exposure models, higher city fragmentation was associated with higher odds of having hypertension ([Formula: see text]; 95% CI: 1.01, 1.21); presence (vs. no presence) of mass transit in the city was associated with higher odds of having hypertension ([Formula: see text]; 95% CI: 1.09, 1.54); higher subcity population density was associated with lower odds of having hypertension ([Formula: see text]; 95% CI: 0.85, 0.94); and higher subcity intersection density was associated with higher odds of having hypertension [[Formula: see text]; 95% CI: 1.04, 1.15). The presence of mass transit was also associated with slightly higher systolic and diastolic blood pressure in multiple-exposure models adjusted for treatment. Except for the association between intersection density and hypertension, associations were attenuated after adjustment for country. An inverse association of greenness with continuous blood pressure emerged after country adjustment. DISCUSSION: Our results suggest that urban physical environment features—such as fragmentation, mass transit, population density, and intersection density—may be related to hypertension in Latin American cities. Reducing chronic disease risks in the growing urban areas of Latin America may require attention to integrated management of urban design and transport planning. https://doi.org/10.1289/EHP7870 Environmental Health Perspectives 2022-02-15 /pmc/articles/PMC8846315/ /pubmed/35167325 http://dx.doi.org/10.1289/EHP7870 Text en https://ehp.niehs.nih.gov/about-ehp/licenseEHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.
spellingShingle Research
Avila-Palencia, Ione
Rodríguez, Daniel A.
Miranda, J. Jaime
Moore, Kari
Gouveia, Nelson
Moran, Mika R.
Caiaffa, Waleska T.
Diez Roux, Ana V.
Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities
title Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities
title_full Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities
title_fullStr Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities
title_full_unstemmed Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities
title_short Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities
title_sort associations of urban environment features with hypertension and blood pressure across 230 latin american cities
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846315/
https://www.ncbi.nlm.nih.gov/pubmed/35167325
http://dx.doi.org/10.1289/EHP7870
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