环境对儿童健康结果的影响(ECHO)队列中出生队列的公共饮用水污染物估计值。

IF 4.1 3区 医学 Q2 ENVIRONMENTAL SCIENCES Journal of Exposure Science and Environmental Epidemiology Pub Date : 2024-08-04 DOI:10.1038/s41370-024-00699-2
Tessa R Bloomquist, Maya Spaur, Ilan Cerna-Turoff, Amii M Kress, Mohamad Burjak, Allison Kupsco, Joan A Casey, Julie B Herbstman, Anne E Nigra
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引用次数: 0

摘要

背景:美国环境保护局(USEPA)对社区供水系统(CWS)中的 80 多种污染物进行监管,其中包括与婴儿健康结果相关的污染物。在美国,对产前公共用水污染物浓度测量值与婴儿健康结果之间关系的多队列分析还很少:我们的目标是:(1) 为 "环境对儿童健康结果的影响"(ECHO)队列中的参与者制定 Zip Code Tabulation Area (ZCTA) 级别的 CWS 污染物浓度;(2) 评估 ZCTA 级别污染物浓度的地区性、季节性和社会人口不平等性。ECHO 群体协调了全美超过 69 个现有妊娠和儿科群体的数据:我们使用美国环保局六年回顾 3(2006-2011 年)中得出的 CWS 估计值,为与 ECHO 群体相关的 7640 个 ZCTA 中的 10 种污染物制定了人口加权平均浓度。我们通过空间滞后线性回归模型评估了与 ZCTA 社会人口特征相关的污染物分布、监管阈值超标情况和几何平均比(以及相应的百分比变化):结果:我们观察到全美污染物浓度存在明显的区域差异。ZCTA最有可能超过砷的最高污染物水平(n = 100,1.4%)和总三卤甲烷的健康保护阈值(n = 3584,64.0%)。美国印第安人/阿拉斯加原住民和西班牙裔/拉美裔居民比例高 10%,与砷浓度(分别为 11%,95% CI:7%,15%;2%,95% CI:0%,3%)和铀浓度(分别为 15%,95% CI:10%,21%;9%,95% CI:6%,12%)较高有关:在队列研究中,评估美国社区供水系统污染物浓度估计值与相关不良出生结果之间联系的全国性流行病学分析很少,因为没有可随时与参与者地址联系起来的公共供水污染物浓度估计值。我们开发了可与儿童健康结果环境影响(ECHO)队列参与者相关联的邮政编码表区(ZCTA)级公共供水系统污染物浓度,并评估了这些邮政编码表区污染物浓度的区域性、季节性和社会人口不平等性。未来的流行病学研究可以利用 ECHO 队列中的这些 CWS 暴露估计值来评估与相关婴儿结果之间的关联。
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Public drinking water contaminant estimates for birth cohorts in the Environmental Influences on Child Health Outcomes (ECHO) Cohort.

Background: The United States Environmental Protection Agency (USEPA) regulates over 80 contaminants in community water systems (CWS), including those relevant to infant health outcomes. Multi-cohort analyses of the association between measured prenatal public water contaminant concentrations and infant health outcomes are sparse in the US.

Objective: Our objectives were to (1) develop Zip Code Tabulation Area (ZCTA)-level CWS contaminant concentrations for participants in the Environmental Influences on Child Health Outcomes (ECHO) Cohort and (2) evaluate regional, seasonal, and sociodemographic inequities in contaminant concentrations at the ZCTA-level. The ECHO Cohort harmonizes data from over 69 extant pregnancy and pediatric cohorts across the US.

Methods: We used CWS estimates derived from the USEPA's Six-Year Review 3 (2006-2011) to develop population-weighted, average concentrations for 10 contaminants across 7640 ZCTAs relevant to the ECHO Cohort. We evaluated contaminant distributions, exceedances of regulatory thresholds, and geometric mean ratios (with corresponding percent changes) associated with ZCTA sociodemographic characteristics via spatial lag linear regression models.

Results: We observed significant regional variability in contaminant concentrations across the US. ZCTAs were most likely to exceed the maximum contaminant level for arsenic (n = 100, 1.4%) and the health-protective threshold for total trihalomethanes (n = 3584, 64.0%). A 10% higher proportion of residents who were American Indian/Alaskan Native and Hispanic/Latino was associated with higher arsenic (11%, 95% CI: 7%, 15%; and 2%, 95% CI: 0%, 3%, respectively) and uranium (15%, 95% CI: 10%, 21%; and 9%, 95% CI: 6%, 12%, respectively) concentrations.

Impact: Nationwide epidemiologic analyses evaluating the association between US community water system contaminant concentration estimates and associated adverse birth outcomes in cohort studies are sparse because public water contaminant concentration estimates that can be readily linked to participant addresses are not available. We developed Zip Code Tabulation Area (ZCTA)-level CWS contaminant concentrations that can be linked to participants in the Environmental Influences on Child Health Outcomes (ECHO) Cohort and evaluated regional, seasonal, and sociodemographic inequities in contaminant concentrations for these ZCTAs. Future epidemiologic studies can leverage these CWS exposure estimates in the ECHO Cohort to evaluate associations with relevant infant outcomes.

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来源期刊
CiteScore
8.90
自引率
6.70%
发文量
93
审稿时长
3 months
期刊介绍: Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines. JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.
期刊最新文献
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