Suppr超能文献

暴露评估对国家儿童研究的设计与实施的影响

Exposure assessment implications for the design and implementation of the National Children's Study.

作者信息

Ozkaynak Halûk, Whyatt Robin M, Needham Larry L, Akland Gerry, Quackenboss James

机构信息

U.S. Environmental Protection Agency, National Exposure Research Laboratory, Research Triangle Park, North Carolina 27711, USA.

出版信息

Environ Health Perspect. 2005 Aug;113(8):1108-15. doi: 10.1289/ehp.7616.

Abstract

Examining the influence of environmental exposures on various health indices is a critical component of the planned National Children's Study (NCS). An ideal strategy for the exposure monitoring component of the NCS is to measure indoor and outdoor concentrations and personal exposures of children to a variety of pollutants, including ambient particulate and gaseous pollutants, biologic agents, persistent organics, nonpersistent organics (e.g., pesticides), inorganic chemicals (e.g., metals), and others. However, because of the large sample size of the study (approximately 100,000 children), it is not feasible to assess every possible exposure of each child. We envision that cost-effective strategies for gathering the necessary exposure-related information with minimum burden to participants, such as broad administration of product-use questionnaires and diaries, would likely be considered in designing the exposure component of the NCS. In general a biologic (e.g., blood, urine, hair, saliva) measure could be the dosimeter of choice for many of the persistent and for some of the nonpersistent organic pollutants. Biologic specimens, such as blood, can also indicate long-term internal dose to various metals, including lead and mercury. Environmental measures, on the other hand, provide pathway/source-specific exposure estimates to many of the environmental agents, including those where biologic measurements are not currently feasible (e.g., for particulate matter and for some gaseous criteria pollutants). However, these may be burdensome and costly to either collect or analyze and may not actually indicate the absorbed dose. Thus, an important technical and logistical challenge for the NCS is to develop an appropriate study design with adequate statistical power that will permit detection of exposure-related health effects, based on an optimum set of exposure measurement methods. We anticipate that low-cost, low-burden methods such as questionnaires and screening type assessments of environmental and biologic samples could be employed, when exposures at different critical life stages of vulnerability can be reliably estimated by these simpler methods. However, when reliability and statistical power considerations dictate the need for collecting more specific exposure information, more extensive environmental, biologic, and personal exposure measurements should be obtained from various "validation" subsets of the NCS population that include children who are in different life stages. This strategy of differential exposure measurement design may allow the exposure-response relationships to be tested on the whole cohort by incorporating the information on the relationship between different types of exposure measures (i.e., ranging from simple to more complex) derived from the detailed validation subsamples.

摘要

研究环境暴露对各种健康指标的影响是计划中的国家儿童研究(NCS)的一个关键组成部分。NCS暴露监测部分的理想策略是测量儿童在室内和室外环境中对各种污染物的暴露浓度及个人暴露情况,这些污染物包括环境颗粒物和气态污染物、生物制剂、持久性有机物、非持久性有机物(如农药)、无机化学品(如金属)等。然而,由于该研究样本量巨大(约10万名儿童),评估每个儿童的每一种可能暴露情况并不可行。我们设想,在设计NCS的暴露部分时,可能会考虑采用成本效益高的策略,以最小的参与者负担收集必要的暴露相关信息,例如广泛发放产品使用问卷和日记。一般来说,生物样本(如血液、尿液、头发、唾液)检测可能是许多持久性和一些非持久性有机污染物的首选剂量测定方法。生物样本,如血液,也可以显示对包括铅和汞在内的各种金属的长期体内剂量。另一方面,环境测量可针对许多环境介质提供特定途径/来源的暴露估计值,包括那些目前无法进行生物测量的介质(如颗粒物和一些气态标准污染物)。然而,收集或分析这些数据可能既繁琐又昂贵,而且可能无法实际表明吸收剂量。因此,NCS面临的一个重要技术和后勤挑战是制定一个具有足够统计效力的合适研究设计,以便基于一组最佳的暴露测量方法检测与暴露相关的健康影响。我们预计,当通过这些更简单的方法能够可靠地估计不同关键脆弱生命阶段的暴露情况时,可以采用低成本、低负担的方法,如问卷调查以及对环境和生物样本的筛查式评估。然而,当可靠性和统计效力方面的考虑决定需要收集更具体的暴露信息时,应该从NCS人群的各种“验证”子集中获取更广泛的环境、生物和个人暴露测量数据,这些子集包括处于不同生命阶段的儿童。这种差异暴露测量设计策略可以通过纳入从详细验证子样本中得出的不同类型暴露测量(即从简单到复杂)之间关系的信息,在整个队列中检验暴露-反应关系。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验