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Objectives: We therefore sought to identify the exposures associated with lung surface in long-term residents of São Paulo, Brazil., Methods: Lung surface carbon were analyzed in 72 autopsy specimens by image analysis. Smoking history, measured PM10 nearest to the home, distance to main road, and distance-weighted traffic density were used as exposure variables. Data are summarized as median (IQR), and compared by Mann Whitney Test, with correlations done by Spearman's correlation., Results: There was no association between lung surface and age or gender. There was no statistically significant association in lung surface between smokers and non-smokers 6.74 cm2 (3.47 to 10.02) versus 5.20cm2 (2.29 to 7.54), and there was no significant association between lung surface carbon and exposure to environmental PM and markers of traffic exposure., Conclusion: We did not find a statistically significant association between lung surface and smokers and non-smokers, and no statistically significant association between lung surface carbon and environmental exposure variables. These results suggest that lung surface carbon in long-term residents of São Paulo may predominately be from environmental PM, but the most appropriate environmental exposure marker remains unclear.

Background: 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 São 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 µg/m3 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.

Air 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.

Objective: 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 São 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 São 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 (α= 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 (r² = 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.

Objective: To estimate the prevalence of exposure to magnetic fields generated by transmission lines (TL) and characterize the exposed population., Methods: Information about TL in the metropolitan region of São Paulo, Southeastern Brazil, was provided by the electricity companies and mapped out using geographic information system (GIS). Demographic and socioeconomic data were obtained from the 2000 Census and added to the GIS in another layer. Households and their inhabitants that were located at a distance from the TL that was sufficient to generate a magnetic field 0.3 microT (microteslas) were deemed to be exposed. The prevalence was estimated according to the area of the corridors of exposure along the TL. Two approaches were used to delimit the corridor width: one consisted of widths that were predefined by the TL voltage, and the other consisted of calculation of the magnetic field. The socioeconomic information on the exposed and non-exposed populations were compared by applying the two-proportion test (alpha= 5%)., Results: In the corridors with predefined widths, the prevalence of exposure was 2.4%, and in the calculated corridors, the prevalence was 1.4%. Both methods indicated higher prevalence of exposure among the younger population, and among individuals with lower education and income levels (p < 0.001)., Conclusions: The prevalence of exposure to magnetic fields generated by TL in the metropolitan region of São Paulo was lower than what has been observed in other countries. The results indicate inequality in the exposure to magnetic fields in this urban area, with greater risk to vulnerable populations such as children and socioeconomically less favored individuals.

The paper addresses the risk of contemporary technologies in the light of our current technological paradigm, its perception and tolerability, as well as its unequal distribution across society. The fundamental hypothesis, which emphasizes Environmental Justice, refers to hazards that are disproportionately or unjustly distributed across more socially and economically vulnerable groups, which are generally the poor and the minorities affected by the environmental risks posed by modernity. Therefore, vulnerability and the different levels of deprivation act as drivers of the different levels of health across population groups. Although Environmental Justice has initially been observed as a grassroots movement in the United States, its principles showed compatibility with global and local geographical scales. Therefore, the aim of the study was to understand how the risks of contemporary technologies unequally affect the population under the perspective of Environmental Justice.