In Brazil, gas station workers are occupationally exposed to the benzene present in gasoline. Brazilian law indicates the use of trans,trans-muconic acid(t,t-MA) as a biomarker of benzene exposure. The aim of this study was to evaluate the level of exposure to benzene in gas station workers, through the quantification of t,t-MA present in urine. A total number of 269 gas station workers divided into 179 filling station attendants exposed by inhalation and dermal route and 90 convenience store workers exposed only by inhalation were included. A control group was formed by 100 office workers, without occupational exposure to benzene. The urinary levels of t,t-MA were evaluated by HPLC with a UV detector. Gas station workers showed higher mean values of t,t-MA (0.204 mg/g creatinine; 95% CI 0.170–0.237) than office workers (0.126 mg/g creatinine; 95% CI 0.0817–0.1693). T,t-MA levels were higher in convenience store workers exposed to gasoline only by inhalation (0.221 mg/g creatinine; 95% CI 0.160–0.282), than in those exposed to gasoline by inhalation and dermal route—filling station attendants (0.195 mg/g creatinine; 95% CI 0.155–0.235). Gas station workers with a higher level of t,t-MA had epistaxis. T,t-MA values were higher in the Downtown (0.15 mg/g creatinine) region’s workers than in the more affluent South Zone region’s workers (0.07 mg/g creatinine). Smoking habits influenced the urinary t,t-MA values, while the frequency of consumption of industrialized and frozen foods showed no influence.

The aim of this research was to evaluate the effect of sediment composition on methane (CH4) dynamics in sediments of different areas in the transition zone between a mangrove and the sea. This research was conducted in a mangrove at Coroa Grande, on the southern coast of Rio de Janeiro. Samples were collected at three stations: (1) region colonised by Rhizophora mangle L. on the edge of the mangrove, (2) region colonised by seagrasses and (3) infra-littoral region without vegetation. Samples were collected from the surface layer of the sediment to determine the concentrations of nutrients (C, N and P) and CH4 concentration and production. We observed that concentrations of CH4 and carbon (C) were significantly higher (p < 0.05) in station 1 than station 3. The molar ratios (C:N, C:P and N:P) suggest that the origin of the substrate is mainly autochthonous. Methanogenesis was initially low, possibly due to competition between methanogens and sulfate reducers, and increased significantly (p < 0.05) on the twenty-sixth day in the sediment of station 1, probably due to higher organic matter (OM) availability in this region. Results indicate that methanogenic activity observed herein is not regulated by the amount or quality of OM, but by other factors. The concentration of CH4 in the sea-land ecotone at Mangrove Coroa Grande is a function of available OM suggesting a possible inhibition of methanotrophy by intense oxygen consumption in the soil surface covered by detritus of Rhizophora mangle vegetation.

This study aimed to evaluate the occurrence of the green tobacco sickness (GTS) and its associated factors in tobacco familiar farmers residing in Dom Feliciano, Rio Grande do Sul State, Brazil. A cross-sectional study was conducted evaluating the sickness in 354 small tobacco farmers, between October 2011 and March 2012. The urinary concentration of cotinine, a biomarker of exposure to nicotine, was determined during the tobacco harvest period. Subjects presenting cotinine urinary levels ≥ 50ng/mL, that had contact with tobacco leaves up to 48 hours before the sample collection and reported at least one disease symptom were deemed as cases. A non-conditional logistic analysis was performed to evaluate the association between GTS and the population characteristics. A total of 122 (34.5%) cases were identified, with 39% of them being smokers and 61% being males. The median cotinine urinary concentrations were 75.6ng/mL (74.1ng/mg of creatinine) for non-cases and 755.8ng/mL (632.1ng/mg of creatinine) for the cases (p-value ≤ 0.01). The multivariate analysis showed a positive association between GTS and sunlight exposure time, exposure to pesticides, worse health status, and inverse association with wood cultivation. This study presented a high GTS prevalence and suggest that the use of urinary cotinine is a significant biomarker to determine GTS cases, influencing in the distribution by sex. Once the tobacco production involves health hazards, is important to implement measures to prevent the harm caused to tobacco farmers, as set in articles 17 and 18 of the World Health Organization Framework Convention on Tobacco Control.

Resumo Este artigo objetivou revisar os estudos de biomonitoramento humano (BMH) que avaliaram a exposição a chumbo (Pb), cádmio (Cd), mercúrio (Hg), níquel (Ni), arsênio (As) e manganês (Mn) em adultos residentes próximo a áreas industriais. Realizou-se uma revisão sistemática, sem limite de data inicial até dezembro de 2017, utilizando a base de dados da MEDLINE e a BVS. Foram incluídos estudos originais em inglês, português ou espanhol, com uso de sangue e/ou urina como biomarcador. Os artigos foram avaliados pelos critérios metodológicos, incluindo-se estudos com grupo de comparação e/ou amostragem probabilística. Dos 28 estudos incluídos, 54% foram realizados na Europa, 36% na Ásia, 7% na América do Norte e 4% na África. Fundições, metalúrgicas e siderúrgicas foram as indústrias mais estudadas. Urina e sangue foram usados em 82% e 50% dos estudos, respectivamente. Os elementos mais investigados foram Cd, Pb e As. Embora com metodologias heterogêneas, em geral, os estudos observaram maiores concentrações de metais em expostos, especialmente As e Hg, do que nos grupos de comparação. Esta revisão evidencia a necessidade de estudos de BMH com maior rigor metodológico, reforçando a importância da vigilância em saúde de populações expostas a metais tóxicos, sobretudo nos países em desenvolvimento.

Background: Industries are sources of environmental pollutants. However, there are few human biomonitoring (HBM) studies in the vicinity of industrial areas. Thus, we evaluate the feasibility of conducting an HBM study to assess exposure to metals in an industrial area in Rio de Janeiro, Brazil. Methodology: A cross-sectional survey was conducted near a steel factory. Adults (exposed = 775; controls = 775) were randomly selected and sex-matched. Subjects were interviewed using a questionnaire and a 24 h dietary recall. Blood samples were collected to analyze metal concentrations, blood count, biochemical parameters, and thyroid hormones. The feasibility of the survey was assessed following guidelines. The descriptive analysis was performed for the first 250 participants (pilot study). Results: Adjustments were made to the survey execution, including age-matching, fieldwork team, questionnaire, blood collection, and research awareness. The complete questionnaire was answered by ≥97% of participants; metals were measured in ≥98% and clinical parameters in ≥89%, except thyroid hormones (13–44%). The average age and family income were of 50 years and USD 575/month, respectively. The participants had equal distribution among sexes: 50% had a medium education level, and 59% were nonwhite. Conclusion: This preliminary HBM study demonstrates feasibility for the total population, with results indicating representativeness of the target population.

Background: From 2010 onwards, the city of Rio de Janeiro has undergone changes related to the 2014 FIFA World Cup and the 2016 Olympic Games, potentially affecting the respiratory health of inhabitants. Thus, the spatial distribution of respiratory hospitalizations (2008–2017) and the relationship between this outcome and potential air pollution sources in the city of Rio de Janeiro (2013–2017) were evaluated. Methods: An ecological study was performed using the Bayesian model with multivariate Poisson regression for the period of the sporting events (2013–2017). The outcome was the ratio of hospitalizations for respiratory diseases by the population at risk. Data analysis was performed in the total population and by sex and age group. The air pollution-related variables included industrial districts, traffic density, tunnel portals, a seaport, airports, and construction/road work. Results: All explanatory variables, except tunnel portals, were associated with an increase in the outcome. Construction/road work showed a greater magnitude of association than the other pollution-related variables. Airports were associated with an increased hospitalization ratio among the ≥60 year-old group (mean = 2.46, 95% credible intervals = 1.35–4.46). Conclusion: This study allows for a better understanding of the geographical distribution of respiratory problems in the city of Rio de Janeiro. Present results may contribute to improved healthcare planning and raise hypotheses concerning exposure to air pollution and respiratory hospitalizations.