歐盟發(fā)布不同國家兒童長期對鉛暴露飲食的研究報告

Project developed on the procurement project CFP/EFSA/DATEX/2008/01

This external report is the output from a scientific or technical project that EFSA has funded to support its work in accordance with EFSA public procurement rules. It was produced by the contractors of an EFSA tender following a strict tendering procedure. For more information on this procedure see Procurement. It is published complying with the transparency principle to which EFSA is subject and cannot be considered as an output adopted by EFSA. EFSA reserves its rights, view and position as regards the issues addressed and the conclusions reached, in the present document, without prejudice to the rights of the authors.

Abstract

Long-term dietary exposure to lead in children aged 1 up to 14 years living in 12 different European countries was estimated using daily food consumption patterns and mean lead concentrations in various food commodities. Food consumption data were all categorised according to a harmonised system to allow for linkage with lead concentration data in a standardised way. Two different models were used for the calculations: the beta-binomial-normal (BBN) model and the observed individual means (OIM) model. For both models the lower bound exposure ranged from 0.4 to 1.7 µg/kg bw per day for median consumers. For 99th percentile consumers however the exposure differed between the two models with a lower bound exposure ranging from 0.7 to 4.1 µg/kg bw per day with the BBN model and 0.9 to 7.9 µg/kg bw per day with the OIM model. Upper bound exposures were on average a factor 1.8 higher for both models. Exposures on a body weight basis were higher in younger compared to older children. To assess the long-term exposure to lead in European children, a model, such as the BBN model, that corrects for the within-person variation is the preferred method to be used. The OIM method results in an overestimation of the percentage of the population exceeding a provisional tolerable weekly intake which is of relevance for risk management decisions.