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Toward Greater Implementation of the Exposome Research Paradigm within Environmental Epidemiology

  • Jeanette A Stingone
  • , Germaine M Buck Louis
  • , Shoji F Nakayama
  • , Roel C H Vermeulen
  • , Richard K Kwok
  • , Yuxia Cui
  • , David M Balshaw
  • , Susan L Teitelbaum
    • Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029; email: [email protected] , [email protected].
    • Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland 20817; email: [email protected].
    • National Institute for Environmental Studies, Tsukuba 305-0053, Japan; email: [email protected].
    • Utrecht University
    • Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709; email: [email protected].
    • Exposure, Response, and Technology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709; email: [email protected] , [email protected].

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Investigating a single environmental exposure in isolation does not reflect the actual human exposure circumstance nor does it capture the multifactorial etiology of health and disease. The exposome, defined as the totality of environmental exposures from conception onward, may advance our understanding of environmental contributors to disease by more fully assessing the multitude of human exposures across the life course. Implementation into studies of human health has been limited, in part owing to theoretical and practical challenges including a lack of infrastructure to support comprehensive exposure assessment, difficulty in differentiating physiologic variation from environmentally induced changes, and the need for study designs and analytic methods that accommodate specific aspects of the exposome, such as high-dimensional exposure data and multiple windows of susceptibility. Recommendations for greater data sharing and coordination, methods development, and acknowledgment and minimization of multiple types of measurement error are offered to encourage researchers to embark on exposome research to promote the environmental health and well-being of all populations.

    Original languageEnglish
    Pages (from-to)315-327
    Number of pages13
    JournalAnnual Review of Public Health
    Volume38
    DOIs
    Publication statusPublished - 2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • exposome
    • environmental epidemiology
    • life-course epidemiology
    • multiple exposures

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