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将复杂疾病与暴露数据关联起来——一项环境与职业健康研究的新发现。

Linking complex disease and exposure data-insights from an environmental and occupational health study.

机构信息

RTI International, Research Triangle Park, NC, USA.

School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

J Expo Sci Environ Epidemiol. 2023 Jan;33(1):12-16. doi: 10.1038/s41370-022-00428-7. Epub 2022 Mar 28.

Abstract

The disparate measurement protocols used to collect study data are an intrinsic barrier to combining information from environmental health studies. Using standardized measurement protocols and data standards for environmental exposures addresses this gap by improving data collection quality and consistency. To assess the prevalence of environmental exposures in National Institutes of Health (NIH) public data repositories and resources and to assess the commonality of the data elements, we analyzed clinical measures and exposure assays by comparing the Caribbean Consortium for Research in Environmental and Occupational Health study with selected NIH environmental health resources and studies. Our assessment revealed that (1) environmental assessments are widely collected in these resources, (2) biological assessments are less prevalent, and (3) NIH resources can help identify common data for meta-analysis. We highlight resources to help link environmental exposure data across studies to support data sharing. Including NIH data standards in environmental health research facilitates comparing and combining study data, and the use of NIH resources and adoption of standard measures will allow integration of multiple studies and increase the scientific impact of individual studies.

摘要

用于收集研究数据的不同测量方案是将环境健康研究信息结合起来的内在障碍。通过使用标准化的测量方案和环境暴露数据标准,可以提高数据收集的质量和一致性,从而解决这一差距。为了评估环境暴露在国立卫生研究院(NIH)公共数据存储库和资源中的流行程度,并评估数据元素的共同性,我们通过将加勒比环境与职业健康研究联合会(Caribbean Consortium for Research in Environmental and Occupational Health)与选定的 NIH 环境健康资源和研究进行比较,分析了临床测量和暴露分析。我们的评估结果表明:(1)这些资源广泛收集环境评估数据;(2)生物评估较少;(3)NIH 资源可帮助确定用于荟萃分析的常见数据。我们重点介绍了资源,以帮助将环境暴露数据链接到各个研究中,以支持数据共享。在环境健康研究中纳入 NIH 数据标准有助于比较和组合研究数据,而 NIH 资源的使用和标准措施的采用将允许整合多个研究,并提高个别研究的科学影响力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f24/9849120/89ad077a8daf/41370_2022_428_Fig1_HTML.jpg

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