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Objectives: Large amounts of mineral dust are transported from their African sources in the Saharan-Sahel region to the Caribbean Sea, generating peak exposures to particulate matter ≤10 µm (PM). This study aimed to investigate the impact of Saharan dust episodes on preterm births in the Guadeloupe archipelago.
Methods: The study population consisted of 909 pregnant women who were enrolled in the TIMOUN mother-child cohort between 2004 and 2007. Desert dust episodes were assessed from PM concentrations recorded at the unique background air quality monitoring station located in Pointe-à-Pitre. For each woman, the daily PM concentrations were averaged over the entire pregnancy, and the proportion of days with intense dust episodes (≥55 µg PM/m) during pregnancy was calculated. Weighted logistic regression models adjusting for known individual sociomedical risk factors were used to estimate ORs and 95% CIs for preterm birth.
Results: During pregnancy, the mean PM concentrations ranged from 13.17 to 34.92 µg/m, whereas the proportion of intense dust events ranged from 0.00% to 19.41%. Increased adjusted ORs were found for both the mean PM concentrations and the proportion of intense dust events (OR 1.40, 95% CI 1.08 to 1.81, and OR 1.54, 95% CI 1.21 to 1.98 per SD change, respectively). Restriction to spontaneous preterm births produced similar ORs but with wider 95% CIs.
Conclusion: Considering the personal and social burden of this adverse pregnancy outcome, this finding is of importance for both healthcare workers and policy makers to provide necessary preventive measures.
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http://dx.doi.org/10.1136/oemed-2018-105405 | DOI Listing |
J Geophys Res Atmos
December 2024
National Park Service Air Resources Division Lakewood CO USA.
Sci Total Environ
December 2024
Environment Research Institute, Shandong University, Qingdao 266237, China. Electronic address:
Sci Total Environ
December 2024
National Meteorological Information Centre, Beijing 100081, China.
The CMA-ChemRA (China Regional Weakly Coupled Chemical-Weather Reanalysis System) was developped using China's first-generation global atmospheric reanalysis product (CRA-40) as initial fields and boundary conditions, coupled with the WRF-Chem atmospheric chemical model and the WRFDA/3DVar assimilation system. By constructing a joint background error covariance matrix, CMA-ChemRA achieves weak coupling between atmospheric chemistry and meteorological variables, enabling simultaneous assimilation of diverse data sources, including hourly observations from ground stations, wind profilers, upper-air soundings, aircraft reports, and atmospheric composition measurements. To extend the dataset to periods before 2013 when China lacked PM observations, the system incorporates a reconstructed PM dataset derived by AI from visibility inversion alongside various emission inventories.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Postgraduate Program in Water Resources and Environmental Engineering, Federal University of Paraná, Curitiba, Paraná, Brazil; Department of Environmental Engineering, Federal University of Paraná, Curitiba, Paraná, Brazil; Department of Chemical Engineering, Federal University of Paraná, Curitiba, Paraná, Brazil. Electronic address:
The influence of specific local land-use activities (continuously redistributing elements across environments) and environmental conditions (altering the chemical composition of airborne particulate matter) on the intrinsic health risk of PM exposure is sparsely reported. To fill this gap, we employed a novel integrated approach to address the influence of short-term changes in source-specific PM composition on the exposure-response risk, while controlling for weather conditions. We combine receptor-based source apportionment with conditional logistic regression in a space-time-stratified case-crossover design.
View Article and Find Full Text PDFSci Total Environ
December 2024
Université de Perpignan Via Domitia, Centre de Formation et de Recherche sur les Environnements Méditerranéens, UMR 5110, 52 Avenue Paul Alduy, F-66860 Perpignan cedex, France; CNRS, Centre de Formation et de Recherche sur les Environnements Méditerranéens, UMR 5110, 52 Avenue Paul Alduy, F-66860 Perpignan cedex, France.
Drainage basin of the Gulf of Lions is largely dominated by vineyards which require the extensive use of Cu fungicides, leading to continuous copper accumulation in surface soils. In this area, soils depict among the highest Cu pollution levels in Europe. In order to draw up a global budget of Cu fluxes to the Gulf of Lions, our approach is based on long-term monitoring of Cu levels in riverine suspended sediments of the Rhone river and coastal Mediterranean river, as well as atmospheric deposits.
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