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Background Although widely used, area-based deprivation indices remain sensitive to urban-rural differences as such indices are usually standardised around typical urban values. There is, therefore, a need to determine to what extent available deprivation indices can be used legitimately over both urban and rural areas. Methods This study was carried out in Brittany, France, a relatively affluent region that contains deep rural areas. Among the 1,736 residential census block groups (IRIS) composing the Brittany region, 1,005 (57.9%) are rural. Four deprivation indices were calculated: two scores (Carstairs and Townsend) developed in the UK and two more recent French measures (Havard and Rey). Two standardisation levels were considered: all of the IRIS and only the urban IRIS of the region. Internal validity (Kappa coefficients and entropy values) and external validity (relationship with colorectal cancer screening [CCS] attendance) were investigated. Results Regardless of the deprivation measure used, wealthy areas are mostly clustered in the West and at the outskirts of major towns. Carstairs and Rey scores stand out by all evaluation criteria, capturing both urban and rural deprivation. High levels of agreements were found across standardisation levels (κ? = 0.96). The distributions of deprivation scores were balanced across urban and rural areas, and high Shannon entropy values were observed in the capital city (≥0.93). Similar and significant negative trends were observed between CCS attendance and both deprivation indices, independent of the degree of urbanisation. Conclusions These results provide support, despite potential sociological objections, for the use of a compromise index that would facilitate comparisons and interpretations across urban and rural locations in public health research. [ABSTRACT FROM AUTHOR]

Background: The use of pesticides and the related environmental contaminations can lead to human exposure to various molecules. In early-life, such exposures could be responsible for adverse developmental effects. However, human health risks associated with exposure to complex mixtures are currently under-explored. Objective: This project aims at answering the following questions: What is the influence of exposures to multiple pesticides on the metabolome? What mechanistic pathways could be involved in the metabolic changes observed? Methods: Based on the PELAGIE cohort (Brittany, France), 83 pregnant women who provided a urine sample in early pregnancy, were classified in 3 groups according to the surface of land dedicated to agricultural cereal activities in their town of residence. Nuclear magnetic resonance-based metabolomics analyses were performed on urine samples. Partial Least Squares Regression-Discriminant Analysis (PLS-DA) and polytomous regressions were used to separate the urinary metabolic profiles from the 3 exposure groups after adjusting for potential confounders. Results: The 3 groups of exposure were correctly separated with a PLS-DA model after implementing an orthogonal signal correction with pareto standardizations (R2 = 90.7% and Q2 = 0.53). After adjusting for maternal age, parity, body mass index and smoking habits, the most statistically significant changes were observed for glycine, threonine, lactate and glycerophosphocholine (upward trend), and for citrate (downward trend). Conclusion: This work suggests that an exposure to complex pesticide mixtures induces modifications of metabolic fingerprints. It can be hypothesized from identified discriminating metabolites that the pesticide mixtures could increase oxidative stress and disturb energy metabolism. [ABSTRACT FROM AUTHOR]

Glycol ethers are an oxygenated solvent family widely present in consumer products. Some of them are recognized reproductive, developmental or hematological toxicants. Although several glycol ether biomonitoring studies have been performed on adults from working or general populations, no studies have hitherto been carried out on children. The aim of our study was to explore the detection of glycol ether metabolites in the urinary samples of 6-year-old children, and if any were found, to describe them. The PELAGIE mother-child cohort included 3421 pregnant women from the general population of Brittany, France, between 2002 and 2006. Our biomonitoring study included a random sample of 110 children from the PELAGIE cohort who had participated in a neurodevelopment evaluation at the age of six. First morning voids were collected from all of the children. Eight urinary glycol ether metabolites were measured using gas chromatography with mass spectrometry. The limit of detection was 0.003 mg/L for all metabolites. Glycol ether metabolites were detected at rates varying from 33.5% of samples for propoxyacetic acid to 100% of samples for phenoxyacetic acid and methoxyacetic acid. The highest median concentration observed was for phenoxyacetic acid (0.141 mg/l). Our study reported the ubiquitous presence of glycol ether metabolites in children's urinary samples. These results call for larger biomonitoring surveys of the general population and study of the potential sources and determinants of these exposures. [ABSTRACT FROM AUTHOR]