Kliment V
National Institute of Public Health, Prague, Czech Republic.
Cent Eur J Public Health. 1996 Dec;4(4):246-9.
The model study is focused on possibilities of comprehensive evaluation of the multiple exposure of humans to selected inorganic contaminants (arsenic, cadmium, lead, zinc) monitored within the subsystems of the monitoring the environmental impact on population health (inhalation and ingestion exposure from air, drinking water and foodstuffs and biological monitoring). The mean daily intake of contaminants of average adults is assessed using the monitoring and literature data. The exposure balance showed that the total intake of individual contaminants studied did not exceed the limit values given by the exposure standards (acceptable daily intake). The highest value of exposure reaching 28% of the limit was reported for cadmium. The prevailing pathway of exposure is ingestion of foodstuffs: more than 95% in all contaminants under study. Information on the intake of contaminants is used as input in a linear multicompartmental model describing their kinetics and retention in the human organism. The results of the model computation are compared with the laboratory data obtained in the biological monitoring of adult urine. The model and monitoring sets of results were found to conform well for cadmium and zinc. For arsenic and lead the model values are roughly one order of magnitude lower than the monitored ones which should be considered as acceptable for the model studies of this type. The model study of contaminant monitoring data processing and evaluation suggests further applications of health risk assessment representing one of the basic outputs of monitoring the environmental impact on population health.
该模型研究聚焦于全面评估人类通过环境影响人群健康监测子系统(空气、饮用水和食品的吸入和摄入暴露以及生物监测)所监测到的对选定无机污染物(砷、镉、铅、锌)的多重暴露可能性。利用监测数据和文献数据评估成年人均每日污染物摄入量。暴露平衡表明,所研究的各污染物总摄入量未超过暴露标准(可接受每日摄入量)给出的限值。镉的最高暴露值达到限值的28%。主要暴露途径是食物摄入:在所有研究污染物中超过95%。污染物摄入量信息用作描述其在人体中的动力学和滞留情况的线性多室模型的输入。将模型计算结果与成年尿液生物监测获得的实验室数据进行比较。发现镉和锌的模型结果与监测结果吻合良好。对于砷和铅,模型值比监测值低约一个数量级,对于此类模型研究而言,这应被视为可接受的。污染物监测数据处理与评估的模型研究表明,健康风险评估具有进一步应用价值,它是监测环境对人群健康影响的基本产出之一。