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

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          Abstract

          Background

          Exposure to particulate matter (PM 2.5) is a major risk factor for morbidity and mortality. Yet few studies have examined patterns of population exposure and investigated the predictors of PM 2.5 across the rapidly growing cities in lower- and middle-income countries.

          Objectives

          Characterize PM 2.5 levels, describe patterns of population exposure, and investigate urban factors as predictors of PM 2.5 levels.

          Methods

          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 PM 2.5 levels in 366 cities comprising over 100,000 residents using satellite-derived estimates. Factors related to urban form and transportation were explored.

          Results

          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 μg/m 3 annual average. We also found that larger cities, cities with higher GDP, higher motorization rate and higher congestion tended to have higher PM 2.5. In contrast cities with higher population density had lower levels of PM 2.5. In addition, at the sub-city level, higher intersection density was associated with higher PM 2.5 and more green space was associated with lower PM 2.5. When all exposures were examined adjusted for each other, higher city per capita GDP and higher sub-city intersection density remained associated with higher PM 2.5 levels, while higher city population density remained associated with lower levels. The presence of mass transit was also associated with lower PM 2.5 after adjustment. The motorization rate also remained associated with PM 2.5 and its inclusion attenuated the effect of population density.

          Discussion

          These results show that PM 2.5 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.

          Graphical abstract

          Highlights

          • Cities in Latin America with higher GDP, motorization rate, and congestion have higher PM 2.5.

          • Cities in Latin America with higher population density and green space have lower levels of PM 2.5.

          • Intersection density and mass transit infrastructure also impact pollution levels.

          • Urban planning and transportation policies may have a major impact on air pollution.

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          Most cited references42

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          The Lancet Commission on pollution and health

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            Fine-particulate air pollution and life expectancy in the United States.

            Exposure to fine-particulate air pollution has been associated with increased morbidity and mortality, suggesting that sustained reductions in pollution exposure should result in improved life expectancy. This study directly evaluated the changes in life expectancy associated with differential changes in fine particulate air pollution that occurred in the United States during the 1980s and 1990s. We compiled data on life expectancy, socioeconomic status, and demographic characteristics for 211 county units in the 51 U.S. metropolitan areas with matching data on fine-particulate air pollution for the late 1970s and early 1980s and the late 1990s and early 2000s. Regression models were used to estimate the association between reductions in pollution and changes in life expectancy, with adjustment for changes in socioeconomic and demographic variables and in proxy indicators for the prevalence of cigarette smoking. A decrease of 10 microg per cubic meter in the concentration of fine particulate matter was associated with an estimated increase in mean (+/-SE) life expectancy of 0.61+/-0.20 year (P=0.004). The estimated effect of reduced exposure to pollution on life expectancy was not highly sensitive to adjustment for changes in socioeconomic, demographic, or proxy variables for the prevalence of smoking or to the restriction of observations to relatively large counties. Reductions in air pollution accounted for as much as 15% of the overall increase in life expectancy in the study areas. A reduction in exposure to ambient fine-particulate air pollution contributed to significant and measurable improvements in life expectancy in the United States. 2009 Massachusetts Medical Society
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              Long-term air pollution exposure and cardio- respiratory mortality: a review

              Current day concentrations of ambient air pollution have been associated with a range of adverse health effects, particularly mortality and morbidity due to cardiovascular and respiratory diseases. In this review, we summarize the evidence from epidemiological studies on long-term exposure to fine and coarse particles, nitrogen dioxide (NO2) and elemental carbon on mortality from all-causes, cardiovascular disease and respiratory disease. We also summarize the findings on potentially susceptible subgroups across studies. We identified studies through a search in the databases Medline and Scopus and previous reviews until January 2013 and performed a meta-analysis if more than five studies were available for the same exposure metric. There is a significant number of new studies on long-term air pollution exposure, covering a wider geographic area, including Asia. These recent studies support associations found in previous cohort studies on PM2.5. The pooled effect estimate expressed as excess risk per 10 μg/m3 increase in PM2.5 exposure was 6% (95% CI 4, 8%) for all-cause and 11% (95% CI 5, 16%) for cardiovascular mortality. Long-term exposure to PM2.5 was more associated with mortality from cardiovascular disease (particularly ischemic heart disease) than from non-malignant respiratory diseases (pooled estimate 3% (95% CI −6, 13%)). Significant heterogeneity in PM2.5 effect estimates was found across studies, likely related to differences in particle composition, infiltration of particles indoors, population characteristics and methodological differences in exposure assessment and confounder control. All-cause mortality was significantly associated with elemental carbon (pooled estimate per 1 μg/m3 6% (95% CI 5, 7%)) and NO2 (pooled estimate per 10 μg/m3 5% (95% CI 3, 8%)), both markers of combustion sources. There was little evidence for an association between long term coarse particulate matter exposure and mortality, possibly due to the small number of studies and limitations in exposure assessment. Across studies, there was little evidence for a stronger association among women compared to men. In subjects with lower education and obese subjects a larger effect estimate for mortality related to fine PM was found, though the evidence for differences related to education has been weakened in more recent studies.
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                Author and article information

                Contributors
                Journal
                Sci Total Environ
                Sci Total Environ
                The Science of the Total Environment
                Elsevier
                0048-9697
                1879-1026
                10 June 2021
                10 June 2021
                : 772
                : 145035
                Affiliations
                [a ]Department of Preventive Medicine, University of Sao Paulo Medical School, Sao Paulo, Brazil
                [b ]Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA
                [c ]Department of Landscape Architecture & Environmental Planning, College of Environmental Design, University of California Berkeley, Berkeley, CA, USA
                [d ]Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
                [e ]Department of Politics, College of Arts & Sciences, Drexel University, Philadelphia, PA, USA
                [f ]Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogotá, Colombia
                [g ]Pontificia Universidad Católica de Chile, Department of Public Health, School of Medicine, Chile
                [h ]Universidad de La Frontera, Department of Physical Education, Sports and Recreation, Chile
                [i ]Department of Environmental Health, Center for Population Health, National Institute of Public Health, Mexico
                [j ]Instituto de Nutrición de Centroamérica y Panamá (INCAP), Guatemala
                [k ]Department of City and Regional Planning and Institute for Transportation Studies, University of California, Berkeley, CA, USA
                Author notes
                [* ]Corresponding author at: Departamento de Medicina Preventiva, Faculdade de Medicina da Universidade de São Paulo, Av Dr Arnaldo, 455, São Paulo 01246-903, SP, Brazil. ngouveia@ 123456usp.br
                Article
                S0048-9697(21)00101-7 145035
                10.1016/j.scitotenv.2021.145035
                8024944
                33581538
                54ab4561-ea25-469d-b711-24d642360088
                © 2021 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 6 October 2020
                : 4 January 2021
                : 4 January 2021
                Categories
                Article

                General environmental science
                air pollution,particulate matter,built environment,city planning
                General environmental science
                air pollution, particulate matter, built environment, city planning

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