NELSON DA CRUZ GOUVEIA
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Medicina Preventiva, Faculdade de Medicina - Docente
LIM/39 - Laboratório de Processamento de Dados Biomédicos, Hospital das Clínicas, Faculdade de Medicina - Líder
LIM/39 - Laboratório de Processamento de Dados Biomédicos, Hospital das Clínicas, Faculdade de Medicina - Líder
4 resultados
Resultados de Busca
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- Socioeconomic Position and Low Birth Weight among Mothers Exposed to Traffic-Related Air Pollution(2014) HABERMANN, Mateus; GOUVEIA, NelsonBackground: Atmospheric pollution is a major public health concern. It can affect placental function and restricts fetal growth. However, scientific knowledge remains too limited to make inferences regarding causal associations between maternal exposure to air pollution and adverse effects on pregnancy. This study evaluated the association between low birth weight (LBW) and maternal exposure during pregnancy to traffic related air pollutants (TRAP) in Sao Paulo, Brazil. Methods and findings: Analysis included 5,772 cases of term-LBW (<2,500 g) and 5,814 controls matched by sex and month of birth selected from the birth registration system. Mothers' addresses were geocoded to estimate exposure according to 3 indicators: distance from home to heavy traffic roads, distance-weighted traffic density (DWTD) and levels of particulate matter <= 10 mg/m(3) estimated through land use regression (LUR-PM10). Final models were evaluated using multiple logistic regression adjusting for birth, maternal and pregnancy characteristics. We found decreased odds in the risk of LBW associated with DWTD and LUR-PM10 in the highest quartiles of exposure with a significant linear trend of decrease in risk. The analysis with distance from heavy traffic roads was less consistent. It was also observed that mothers with higher education and neighborhood-level income were potentially more exposed to TRAP. Conclusions: This study found an unexpected decreased risk of LBW associated with traffic related air pollution. Mothers with advantaged socioeconomic position (SEP) although residing in areas of higher vehicular traffic might not in fact be more expose to air pollution. It can also be that the protection against LBW arising from a better SEP is stronger than the effect of exposure to air pollution, and this exposure may not be sufficient to increase the risk of LBW for these mothers.
- Aplicação de regressão baseada no uso do solo para predizer a concentração de material particulado inalável no município de São Paulo, Brasil(2013) HABERMANN, Mateus; GOUVEIA, NelsonThe study intended to develop a land use regression model to predict inhalable particulate matter (PM10) concentrations in Sao Paulo, Brazil. The model was based on the 2007 average of PM10 available from 9 monitoring stations and demographic, roads and land use data in buffers of 250 to 1,000 m. Simple linear regression were used to select the more robust independent variables and those without collinearity. Four variables were selected for the multiple regression analysis. Only light traffic in buffers <= 250 m remained in the final model which explained 63.8% of the PM(10)variance. The land use regression approach is a quick and easy method to predict air pollution levels. However, our model was based on measurements of only a few sites.
- Tráfego veicular e mortalidade por doenças do aparelho circulatório em homens adultos(2012) HABERMANN, Mateus; GOUVEIA, NelsonOBJECTIVE: To assess the association between indicators of exposure to motor vehicle-related air pollution and cardiovascular mortality in male adults. METHODS: Information on roads and traffic volume for the year 2007 in the city of Sao Paulo, Southeastern Brazil, was obtained from the local Traffic Engineering Division. Data on mortality from cardiovascular diseases among men aged >= 40 years in 2005 were obtained from the mortality database of the city of sao Paulo. Socioeconomic data from the 2000 Population Census and information on location of health care units were also collected. Exposure was assessed by road density and traffic volume for each geographic unit (administrative districts). Spatial regression (alpha=5%) between these indicators of exposure and standardized mortality rates from cardiovascular diseases were estimated. The models were adjusted for socioeconomic variables, number of health care units in the districts and spatial autocorrelation. RESULTS: It was found a modest correlation between road density and traffic volume (r(2) = 0.28). The central districts had the highest road densities. The spatial regression model of road density showed an association with mortality from cardiovascular diseases (p = 0.017). No association was found in the model of traffic volume. The socioeconomic variable was statistically significant in both models of road and traffic volume. CONCLUSIONS: The association between mortality from cardiovascular diseases and road density is consistent with literature data. Further individual-level epidemiological studies should be performed using more accurate methods for the assessment of exposure.
- Socioeconomic inequalities and exposure to traffic-related air pollution in the city of Sao Paulo, Brazil(2014) HABERMANN, Mateus; SOUZA, Miriam; PRADO, Rogerio; GOUVEIA, NelsonAir pollution is a leading public health concern. In addition, poor populations have been reported as showing increased exposure to such pollution. The current study thus aimed to evaluate the socioeconomic status of the population exposed to vehicle-related air pollution in the city of São Paulo, Brazil. The study used data from the 2010 Census on head-of-household’s mean monthly income and the percentage of households connected to the sewage system. Exposure to air pollutants was estimated according to traffic density in the census tract plus a 200m surrounding buffer. The relationship between exposure and socioeconomic variables was analyzed by the Kruskal-Wallis test. Exposure increased with increasing socioeconomic status (p < 0.001). The population with the highest socioeconomic status lives in the most polluted areas of the city. However, place of residence alone is not capable of measuring exposure. The study suggests that future epidemiological studies include other indicators of vulnerability.