Probabilistic modeling of young children's overall lead exposure in France: integrated approach for various exposure media

Autor: B. Le Bot, Denis Bard, Nawel Bemrah, Philippe Glorennec, A. Robin, Alexandra Tard
Přispěvatelé: Groupe d'Etude de la Reproduction Chez l'Homme et les Mammiferes (GERHM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Agence Française de Sécurité Sanitaire des Aliments (AFSSA), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), ENSP Rennes
Jazyk: angličtina
Rok vydání: 2007
Předmět:
Epidemiology
Computer science
MESH: Air Pollutants
010501 environmental sciences
MESH: Risk Assessment
01 natural sciences
MESH: Dust
010104 statistics & probability
0302 clinical medicine
MESH: Child
Soil Pollutants
030212 general & internal medicine
Child
lcsh:Environmental sciences
General Environmental Science
lcsh:GE1-350
education.field_of_study
Air Pollutants
Dust
Environmental exposure
Integrated approach
Contamination
Soil contamination
MESH: Infant
3. Good health
Environmental health
MESH: Water Pollutants
Chemical

Risk analysis (engineering)
MESH: Environmental Pollutants
Child
Preschool

Environmental Pollutants
France
Risk assessment
MESH: Lead
Probabilistic exposure assessment
Population
MESH: Environmental Exposure
Risk Assessment
03 medical and health sciences
Tap water
Humans
0101 mathematics
education
0105 earth and related environmental sciences
Exposure assessment
[SDV.EE.SANT]Life Sciences [q-bio]/Ecology
environment/Health

MESH: Soil Pollutants
Models
Statistical

MESH: Humans
MESH: Child
Preschool

Probabilistic logic
Infant
MESH: Lead Poisoning
Lead Poisoning
MESH: France
Lead
13. Climate action
Lead exposure
Soil water
Environmental science
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Water Pollutants
Chemical

MESH: Models
Statistical
Zdroj: Environment International
Environment International, Elsevier, 2007, 33 (7), pp.937-45. ⟨10.1016/j.envint.2007.05.004⟩
Environment International, 2007, 33 (7), pp.937-45. ⟨10.1016/j.envint.2007.05.004⟩
Environment International, Vol 33, Iss 7, Pp 937-945 (2007)
ISSN: 0160-4120
DOI: 10.1016/j.envint.2007.05.004⟩
Popis: Objectives: Emissions of lead into the environment (and thus its environmental concentrations) have decreased in recent years. We sought to estimate the overall lead exposure of children aged 6 months to 6 years (the population group most exposed and most sensitive to lead) in France through the various media (air, food, water, soils, and dust) and the respective contributions of each medium to the total dose. We have focused on the general population, leaving aside specific risk factors such as deteriorated lead paints. Methods: We used the most recent French intake data for food and water, and a daily ingested quantity selected from the literature for soils and dust. Contamination data came from the first total diet study of contaminant levels in France (2000–2001), from regulatory testing of tap water (2004), a literature review of lead in urban soils, and a pilot study (2005) of lead in dust. Air quality monitoring measurements showed that the contribution of air could now be safely ignored. Weekly exposure doses were estimated with Monte Carlo simulations. Results: Median weekly exposure dose was 7.5 μg/kg bw.week for children aged 6 months to 3 years and 4.7 for those aged from 3–6 years. 95th percentiles were 13.5 and 8.7 μg/kg bw.week. Exposure came mainly from food. The principal uncertainties are associated with quantification limits in food and water, representativeness and traceability of tap water samples, and absence of recent data about urban soil contamination. Conclusions: These results differ quite notably from earlier estimates and highlight the need, especially for policy-making purposes, to update exposure measurements for this metal. Keywords: Environmental exposure, Environmental health, Exposure assessment, Probabilistic exposure assessment, Lead
Databáze: OpenAIRE