Lung function among residents from the largest coal region in Brazil

Lung function in children residents in the largest coal region in Brazil

Coal mining activities release harmful air pollutants, which affect children's health, particularly the lung function. Brazil has a large coal reserve in the southern region, where a coal-fired power plant and two coal mines are located. The study aimed to evaluate the prevalence of altered respiratory function and associated factors in children living in this region. A cross-sectional study was conducted in seven cities. It collected socioeconomic and demographic, prenatal and postnatal care, neonatal outcomes, child health information as well as lung function and air quality. The study included 396 children who lived in a high socio-environmental vulnerability due to low education levels and family income, high percentage of unemployed and families with a high bedroom density. There was a high prevalence of preterm birth, low birth weight and long-term exposure to environmental conditions. The most common respiratory problem in the parents was rhinitis, while in the children was wheezing and pneumonia. The prevalence of respiratory function alteration in the region was 7.78%. Variables associated with altered respiratory function were passive smoking, low birth weight, history of wheezing. The concentration of pollutants was equivalent when comparing stations within the coal mining host town (Candiota) and surrounding towns.

Frequencies of micronuclei in buccal cells and their spatial distribution in a population living in proximity to coal mining areas in southern Brazil

The extraction and burning of coal release genotoxic pollutants, and understanding the relationship between genetic damage and the spatial distribution of residences in coal-using regions is crucial. The study aimed to conduct a spatial analysis of genotoxic damage through the of micronuclei (MNs) number and their proximity to coal mining/burning in the largest coal exploration region in Brazil. In this study, the detection of genotoxic damage was performed using the MN assay in oral cells of residents exposed to coal mining activities. Spatial analysis was conducted using QGIS 3.28.10 based on information obtained from a questionnaire administered to the population. Multiple linear regression analysis was carried out to assess the influence of the distance from residential areas to polluting sources on the number of MNs found. Additionally, Spearman's correlation was performed to identify the strength and direction of the association between the frequency of MNs and each of the polluting sources. A total of 147 MNs were quantified among all participants in the coal mining region. Notably, residents living within 2 km and 10 km of pollution sources exhibited the highest prevalence of MNs. The analysis demonstrated a significant correlation between closer proximity to pollution sources and increased MN frequency, underscoring the spatial relationship between these sources and genotoxic damage. Environmental pollutants from anthropogenic sources present a major health risk, potentially leading to irreversible damage. The spatial analysis in this study highlights the importance of targeted public policies. These policies should aim for a sustainable balance between economic development and public health, promoting effective measures to mitigate environmental impacts and protect community health.

Human health risk assessment of air pollutants in the largest coal mining area in Brazil

The Candiota region, located in the extreme south of Brazil, has the largest mineral coal deposit in the country, and this activity is capable of releasing pollutants in which they are associated with the contamination of different matrices (soil, water, and air). The present study aimed to carry out a risk assessment to human health of atmospheric pollutants NO₂ and SO₂ and PM₁₀-bound metal(loid)s in the municipality of Candiota, in addition to evaluating the correlation of meteorological parameters for the dynamics and potential risk of these pollutants. Pollutants were sampled from stations located almost 4 km from coal exploration activities, and the trace elements As, Cd, Se, Pb, and Ni, in addition to NO₂ and SO₂, were evaluated. Risk assessment was conducted taking into account the risk to adults via the inhalation route. During the sampling period, all pollutants presented values lower than national legislation or internationally accepted values, and Pb was the element that presented the highest values throughout the sampled period. The risk assessment showed no carcinogenic and non-carcinogenic risks, even when considering the sum of the risk of all analyzed pollutants. It can be observed that the highest levels of Pb, As, and Se occurred in the winter season, while the levels of Ni and Cd were higher in the spring, and the meteorological parameters were correlated with the pollutants, even using a temporal lag of 5 days. Although the air pollutants evaluated did not present a risk to human health, continuous monitoring of regions with strong mineral exploration activity must be carried out with a view to maintaining the well-being of exposed populations, mainly because there are people living in areas closer to sources of coal pollution than distance to air quality monitoring stations.

Urinary Pb levels in schoolchildren from the largest coal mining area in Brazil and its associated factors: a cross-sectional study

Candiota region has the largest coal reserve in Brazil, and previous studies have shown moderate-high levels of metals in the environment, including Pb. On the other hand, there are no studies investigating the factors associated with high levels of urinary Pb in children in the region. To investigate this issue, a cross-sectional study was conducted with 92 schoolchildren from 7 cities comprising this coal-mining region. Socioeconomic and demographic information and parental life habits and children's health information were collected using a semi-structured questionnaire. Diurnal urine samples were collected to quantify Pb levels (µg/g creatinine). Bi- and multivariate Poisson regression with a robust estimator was used to assess factors associated with high levels of Pb. Urinary Pb levels in children in the region vary from not detected to 21.6 µg/g of creatinine. The spatial distribution of urinary Pb levels in children indicated an influence of proximity to mining areas, and this factor was confirmed by Poisson regression analysis (bivariate). Other factors associated with high levels of urinary Pb were non-white mothers, paternal occupational exposure, and low BMI. The findings of this study reveal that the Candiota region is a hotspot for high levels of urinary Pb in children (geometric mean: 3.82 µg/g creatinine) and that, in addition to the proximity to mining areas, factors socioeconomic and health conditions may be associated with these high levels.

Gestational and Neonatal Outcomes in Cities in the Largest Coal Mining Region in Brazil

Brazil has one of the largest mineral coal reserves in the world. More than 40% of this ore is in the Candiota Mine, in the extreme south of Brazil, which was previously identified as a hotspot of environmental pollution. In addition, an important part of Brazil's population suffers from socioeconomic vulnerability. Since there is no information on unfavorable gestational and neonatal outcomes associated with these problems, we conducted a cross-sectional study with 1950 mother-child binomials, aiming to evaluate the association between these outcomes and air pollution as well as socioeconomic, demographic and health variables in seven cities in the region. Of the total births, 11.6% were preterm and 9.5% of neonates had low birth weight (<2500 g). These conditions were also associated with skin color, previous abortions, birth type and prenatal care, as well as exposure to higher levels of coarse particulate matter (PM10) during the first trimester of pregnancy. Regarding air pollutants, although the daily limits for PM10 were exceeded on less than 5% of days, the annual average overtook the values proposed by WHO. Thus, we concluded that prematurity and low birth weight in this region are related to air pollution, and to socioeconomic variables and health care.

Health impacts of PM2.5-bound metals and PAHs in a medium-sized Brazilian city

Rio Grande is a medium-sized industrial city located in the extreme south of Brazil, and previous studies in this city have shown contamination by metal(loids) and polycyclic aromatic hydrocarbons (PAHs) in water, soil, and sediment and in the atmosphere. In Brazil, the incorporation of PM_2.5 monitoring in environmental legislation is recent (2018) and, like other developing countries, the number of studies is still small. This study aimed to investigate the levels of PM_2.5 in the industrial and urban area of Rio Grande, to determine the concentration of metal(loid)s As, Cd, Cu, and Pb and of 16 PAHs in the samples of PM_2.5, to perform the health risk assessment for these contaminants and the health impact assessment for two possible scenarios of reduction of PM_2.5 levels. Our main findings regarding the PM_2.5 samples include the following: (1) The levels of this pollutant in the city of Rio Grande were higher than those allowed in current Brazilian legislation, in both the industrial and urban areas; (2) the existence of non-carcinogenic and carcinogenic risks for metals present in all samples; (3) the absence of carcinogenic risk for the assessed PAHs; and (4) the reduction scenarios proposed pointed to a reduction of up to 22 deaths annually in conjunction with reductions in health-related expenditures. Thus, these results may serve as a basis for the development of public health policies aimed at improving air quality, jointly assisting health surveillance and directing future studies towards a better intrinsic approach to the problem.