Ambient fine particulate matter in Latin American cities: Levels, population exposure, and associated urban factors

Simple item page
dc.contributor.authorGouveia, Nelson
dc.contributor.authorKephart, Josiah L.
dc.contributor.authorDronova, Iryna
dc.contributor.authorMcClure, Leslie
dc.contributor.authorGranados, Jose Tapia
dc.contributor.authorMorales Betancourt, Ricardo
dc.contributor.authorCortinez O'Ryan, Andrea
dc.contributor.authorLuis Texcalac-Sangrador, Jose
dc.contributor.authorMartinez-Folgar, Kevin
dc.contributor.authorRodriguez, Daniel
dc.contributor.authorDiez-Roux, Ana, V
dc.date.accessioned2025-01-20T23:54:14Z
dc.date.available2025-01-20T23:54:14Z
dc.date.issued2021
dc.description.abstractBackground: Exposure to particulate matter (PM2.5) is a major risk factor for morbidity and mortality. Yet few studies have examined patterns of population exposure and investigated the predictors of PM2.5 across the rap-idly growing cities in lower- and middle-income countries.
dc.description.abstractObjectives: Characterize PM2.5 levels, describe patterns of population exposure, and investigate urban factors as predictors of PM2.5 levels.
dc.description.abstractMethods: We used data from the Salud Urbana en America Latina/Urban Health in Latin America (SALURBAL) study, a multi-country assessment of the determinants of urban health in Latin America, to characterize PM2.5 levels in 366 cities comprising over 100,000 residents using satellite-derived estimates. Factors related to urban form and transportation were explored.
dc.description.abstractResults: We found that about 172 million or 58% of the population studied lived in areas with air pollution levels above the defined WHO-AQG of 10 mu g/m(3) annual average. We also found that larger cities, cities with higher GDP, higher motorization rate and higher congestion tended to have higher PM2.5. In contrast cities with higher population density had lower levels of PM2.5. In addition, at the sub-city level, higher intersection density was associated with higher PM2.5 and more green space was associated with lower PM2.5. When all exposures were examined adjusted for each other, higher city per capita GDP and higher sub-city intersection density remained associated with higher PM2.5 levels, while higher city population density remained associated with lower levels. The presence of mass transit was also associated with lower PM2.5 after adjustment. The motorization rate also remained associated with PM2.5 and its inclusion attenuated the effect of population density.
dc.description.abstractDiscussion: These results show that PM2.5 exposures remain a major health risk in Latin American cities and suggest that urban planning and transportation policies could have a major impact on ambient levels. (C) 2021 The Author(s). Published by Elsevier B.V.
dc.description.funderWellcome Trust
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.scitotenv.2021.145035
dc.identifier.eissn1879-1026
dc.identifier.issn0048-9697
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2021.145035
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/95024
dc.identifier.wosidWOS:000628753700051
dc.language.isoen
dc.revistaScience of the total environment
dc.rightsacceso restringido
dc.subjectAir pollution
dc.subjectParticulate matter
dc.subjectBuilt environment
dc.subjectCity planning
dc.subject.ods03 Good Health and Well-being
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa03 Salud y bienestar
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleAmbient fine particulate matter in Latin American cities: Levels, population exposure, and associated urban factors
dc.typeartículo
dc.volumen772
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
Files
Collections
Artículos de revistas