An assessment of environmental health measures in the Deepwater Horizon Research Consortia

Pan, Huaqin; Edwards, Stephen W.; Ives, Cataia; Covert, Hannah; Harville, Emily W.; Lichtveld, Maureen Y.; Wickliffe, Jeffrey K.; Hamilton, Carol M.

doi:10.1016/j.cotox.2019.07.003

Cited by 3 publications

(2 citation statements)

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“…Cross-consortia investigator groups focused on commonalities across environmental exposures (fish), epidemiologic data, and resilience measures, the latter resulting in a resilience framework [ 18 ]. Overall, a dominance of study-specific measures limited the use of common data elements across the consortia studies [ 2 ]. Although study-specific measures are necessary and valuable to address local community concerns and specific research questions, standard measures facilitate the ability to combine data from conceptually related studies.…”

Section: Discussionmentioning

confidence: 99%

“…The rationale for our analysis is multi-pronged. First, statistical power and scientific efficiency would be maximized by combining data from multiple studies and thus increasing their effect size, but standardizing the various environmental exposure data collection measurement protocols and linking similar variables is a fundamental challenge [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

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

Ives

Pan

Edwards

et al. 2022

J Expo Sci Environ Epidemiol

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%