Evidence map›Paper›PMID 31626566›Full record

ArticleEnvironmental health perspectives2019

Improving and Expanding Estimates of the Global Burden of Disease Due to Environmental Health Risk Factors.

Rachel M Shaffer, Samuel P Sellers, Marissa G Baker, Rebeca de Buen Kalman, Joseph Frostad, Megan K Suter, Susan C Anenberg, John Balbus, Niladri Basu, David C Bellinger and 17 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 119 citations in OpenAlex.

  1. Ambient Air Pollution Health Impacts in High-Income Countries, Part II: A Case Study in the United Arab Emirates.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Global Burden of Disease from Environmental Factors.Annual review of public health · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. The methodology of quantitative risk assessment studies.Environmental health : a global access science source · 2024
    Review
  14. Article
  15. Environmental health perspectives · 2023
    Article
  16. Article
  17. Observational
  18. Article
  19. A model to predict a risk of allergic rhinitis based on mitochondrial DNA copy number.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 14 institutions in 5 countries.

Rachel M ShafferDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Samuel P SellersCenter for Health and the Global Environment, University of Washington, Seattle, Washington, USA.
Marissa G BakerDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Rebeca de Buen KalmanEvans School of Public Policy and Governance, University of Washington, Seattle, Washington, USA.
Joseph FrostadInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Megan K SuterDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
Susan C AnenbergMilken Institute School of Public Health, George Washington University, Washington, DC, USA.
John BalbusOffice of the Director, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA.
Niladri BasuFaculty of Agricultural and Environmental Sciences, McGill University, Montreal, Quebec, Canada.
David C BellingerDepartment of Neurology, Harvard Medical School, Boston Children's Hospital, Boston, Massachusetts, USA.
Linda BirnbaumOffice of the Director, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.
Michael BrauerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Aaron CohenInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Kristie L EbiCenter for Health and the Global Environment, University of Washington, Seattle, Washington, USA.
Richard FullerPure Earth, New York, New York, USA.
Philippe GrandjeanDepartment of Public Health, University of Southern Denmark, Odense, Denmark.
Jeremy J HessCenter for Health and the Global Environment, University of Washington, Seattle, Washington, USA.
Manolis KogevinasBarcelona Institute for Global Health, Barcelona, Spain.
Pushpam KumarUnited Nations Programme on the Environment, Nairobi, Kenya.
Philip J LandriganProgram in Global Public Health and the Common Good, Boston College, Chestnut Hill, Massachusetts, USA.
Bruce LanphearSimon Fraser University, Vancouver, British Columbia, Canada.
Stephanie J LondonEpidemiology Branch, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.
Andrew A RooneyDivision of the National Toxicology Program, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.
Jeffrey D StanawayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Leonardo TrasandeDepartment of Pediatrics, New York University School of Medicine, New York, New York, USA.
Katherine WalkerSchool of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Howard HuDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
University of Washington · USNational Institutes of Health · USUniversity of British Columbia · CABarcelona Institute for Global Health · ESBoston Children's Hospital · USBoston College · USHarvard University · USHealth Effects Institute · USMcGill University · CAMilken Institute · USNew York University · USPure Earth · USSimon Fraser University · CAUnited Nations Environment Programme · KE

Funding

Sources, Transport, Exposure & Effects of PFAS (STEEP) Center - RENEWALP42ES027706 · NIEHS · UNIVERSITY OF RHODE ISLAND · PI Harrison Dekker · 2017 to 2026
$18.9M
Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
Neurobehavior, Neuropathology, and Risk Factors in Alzheimer's DiseaseT32AG052354 · NIA · UNIVERSITY OF WASHINGTON · PI Brian C. Kraemer, ELAINE R. PESKIND · 2016 to 2026
$6.7M
Prenatal and Childhood Exposure to Fluoride and NeurodevelopmentR01ES021446 · NIEHS · UNIVERSITY OF TORONTO · PI HU, HOWARD, MCLAUGHLIN, JOHN · 2012 to 2018
$2.3M
Inflammation and metabolic abnormalities in pollutant-exposed childrenR01ES026596 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRANDJEAN, PHILIPPE ADAM · 2017 to 2018
$321k
NIA NIH HHS T32 AG052354NIEHS NIH HHS P42 ES027706NIEHS NIH HHS R01 ES021446NIEHS NIH HHS R01 ES026596NIEHS NIH HHS T32 ES015459Wellcome Trust
6 · The paper itself

Abstract

backgroundThe Global Burden of Disease (GBD) study, coordinated by the Institute for Health Metrics and Evaluation (IHME), produces influential, data-driven estimates of the burden of disease and premature death due to major risk factors. Expanded quantification of disease due to environmental health (EH) risk factors, including climate change, will enhance accuracy of GBD estimates, which will contribute to developing cost-effective policies that promote prevention and achieving Sustainable Development Goals.

objectivesWe review key aspects of the GBD for the EH community and introduce the Global Burden of Disease-Pollution and Health Initiative (GBD-PHI), which aims to work with IHME and the GBD study to improve estimates of disease burden attributable to EH risk factors and to develop an innovative approach to estimating climate-related disease burden-both current and projected.

methodsWe discuss strategies for improving GBD quantification of specific EH risk factors, including air pollution, lead, and climate change. We highlight key methodological challenges, including new EH risk factors, notably evidence rating and global exposure assessment. DISCUSSION: A number of issues present challenges to the scope and accuracy of current GBD estimates for EH risk factors. For air pollution, minimal data exist on the exposure-risk relationships associated with high levels of pollution; epidemiological studies in high pollution regions should be a research priority. For lead, the GBD's current methods do not fully account for lead's impact on neurodevelopment; innovative methods to account for subclinical effects are needed. Decisions on inclusion of additional EH risk-outcome pairs need to be guided by findings of systematic reviews, the size of exposed populations, feasibility of global exposure estimates, and predicted trends in exposures and diseases. Neurotoxicants, endocrine-disrupting chemicals, and climate-related factors should be high priorities for incorporation into upcoming iterations of the GBD study. Enhancing the scope and methods will improve the GBD's estimates and better guide prevention policy. https://doi.org/10.1289/EHP5496.

Indexed as

Environmental HealthGlobal Burden of DiseaseEnvironmental ExposureGlobal HealthHumansMortality, PrematureRisk Factors

Identifiers

PMID31626566
PMCPMC6867191
OpenAlexW2980332209

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.